Cause analysis supporting device, cause analysis supporting method, cause analysis supporting program, and recording medium

Abstract

The factor analysis assisting device of the present invention assists in factor analysis of a matter. The factor analysis assisting device includes a storage unit, a control unit, a display unit, and a processing unit. The storage unit stores information indicating a confirmation result of a matter in association with a plurality of classification item information. The control unit generates a first chart indicating information related to the matter based on the information indicating the confirmation result and the plurality of classification item information. The display unit displays a first screen including the first chart as a screen including a chart. The processing unit processes a designation operation for designating any one of the plurality of classification items. The plurality of classification item information respectively indicates a classification category. The processing unit processes the designation operation on the first screen. The control unit generates a second chart indicating information related to the matter according to each classification category of the classification item specified in the first screen, i.e., the first classification item, based on the information indicating the confirmation result and the plurality of classification item information. The display unit displays a screen including the second chart as a screen including a chart.

Description

Technical Field

[0001] The present invention relates to a cause analysis assisting device, a cause analysis assisting method, a cause analysis assisting program, and a recording medium. Background Art

[0002] Devices for assisting in the analysis of the causes of events are known. An example of an event is a defect. Patent Document 1 discloses a defect analysis assisting device that assists in analyzing the causes of defects. The defect analysis assisting device in Patent Document 1 is used to analyze the causes of defects that occur during the manufacturing process of a product that spans multiple steps. The defect analysis assisting device in Patent Document 1 displays a Pareto chart showing the number of defect occurrences by defect type.

[0003] Specifically, the defect analysis support device disclosed in Patent Document 1 is applicable to electronic component mounting equipment. This equipment includes printing, mounting, and reflow processes. Defects occurring in electronic component mounting equipment include bridging, component shifting, solder fillet anomalies, wetting anomalies, and missing parts. The defect analysis support device disclosed in Patent Document 1 displays a Pareto chart showing the number of occurrences of bridging, component shifting, solder fillet anomalies, wetting anomalies, and missing parts.

[0004] [Prior art literature]

[0005] [Patent Document]

[0006] Patent Document 1: Japanese Patent Application Laid-Open No. 2008-15663 Summary of the Invention

[0007] However, in the device of Patent Document 1, the classification categories of the Pareto chart (graph) are fixed to the defect categories. Therefore, in the device of Patent Document 1, the causes of defect occurrence (causes of phenomena) cannot be analyzed from various viewpoints.

[0008] The present disclosure has been made in view of the above-mentioned problems and aims to provide a factor analysis support device, a factor analysis support method, a factor analysis support program, and a recording medium that can perform factor analysis of an event from various viewpoints.

[0009] Technical means for solving technical problems

[0010] An exemplary factor analysis assisting device disclosed herein assists in factor analysis of a matter. The exemplary factor analysis assisting device disclosed herein comprises a storage unit, a control unit, a display unit, and a processing unit. The storage unit stores information indicating a confirmation result of the matter in association with a plurality of classification item information. The control unit generates a first chart indicating information related to the matter based on the information indicating the confirmation result and the plurality of classification item information. The display unit displays a first screen including the first chart as a screen including a chart. The processing unit processes a designation operation for designating any one of the plurality of classification items. The plurality of classification item information respectively indicates a classification category. The processing unit processes the designation operation on the first screen. The control unit generates a second chart indicating information related to the matter according to each classification category of the classification item designated on the first screen, i.e., the first classification item, based on the information indicating the confirmation result and the plurality of classification item information. The display unit displays a second screen including the second chart as a screen including the chart.

[0011] The exemplary factor analysis assisting method disclosed herein is a method for assisting factor analysis of a matter. The exemplary factor analysis assisting method disclosed herein comprises: a step of generating a first chart representing information related to the matter based on information representing a confirmation result of the matter and a plurality of classification item information; a step of displaying a first screen containing the first chart as a screen containing a chart; a step of processing a designation operation of designating any one of a plurality of classification items in the first screen; a step of generating a second chart representing information related to the matter according to each classification category of the classification item designated in the first screen based on information representing the confirmation result and the plurality of classification item information; and a step of displaying a second screen containing the second chart as a screen containing the chart. The plurality of classification item information respectively represent classification categories.

[0012] The exemplary factor analysis support program of the present disclosure is executed by a computer. The exemplary factor analysis support program of the present disclosure causes the computer to execute calculations according to the above-mentioned factor analysis support method.

[0013] An exemplary recording medium of the present disclosure is a non-transitory computer-readable recording medium having a factor analysis support program recorded thereon for causing a computer to execute the factor analysis support program, causing the computer to execute calculations according to the factor analysis support method.

[0014] Effects of the Invention

[0015] According to the exemplary present disclosure, it is possible to perform factor analysis of matters from various perspectives.

[0016] BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a diagram showing a factor analysis support device according to an embodiment.

[0018] Figure 2 It is a diagram showing inspection information.

[0019] Figure 3 This is a block diagram showing the configuration of a factor analysis support device according to an embodiment.

[0020] Figure 4 This is a diagram showing inspection information stored in a storage unit included in the factor analysis support device according to the embodiment.

[0021] Figure 5 1 is a diagram showing a display unit that displays a screen GA1 including a graph GR1 .

[0022] Figure 6 1 is a diagram showing a display unit that displays a screen GA2 including a graph GR2.

[0023] Figure 7 1 is a diagram showing a display unit that displays a screen GA3 including a graph GR3.

[0024] Figure 8 1 is a diagram showing a display unit that displays a screen GA4 including a graph GR4.

[0025] Figure 9 1 is a diagram showing a display unit that displays a screen GA5 including a graph GR5 .

[0026] Figure 10 1 is a diagram showing a display unit that displays a screen GA6 including a graph GR6.

[0027] Figure 11 1 is a diagram showing a display unit that displays a screen GA7 including a graph GR7.

[0028] Figure 12 1 is a diagram showing a display unit that displays a screen GA8 including a graph GR8.

[0029] Figure 13 1 is a diagram showing a display unit that displays a screen GA9 including a graph GR9.

[0030] Figure 14 1 is a diagram showing a display unit that displays a screen GA10 including a graph GR10 .

[0031] Figure 15 This is a flowchart showing the processing executed by the control unit included in the factor analysis support device according to the embodiment.

[0032] Figure 161 is a diagram showing a display unit that displays a screen GA11 including a graph GR11 .

[0033] Figure 17 1 is a diagram showing a display unit that displays a screen GA21 including a graph GR21 .

[0034] Figure 18 1 is a diagram showing a display unit that displays a screen GA22 including a graph GR22 .

[0035] Figure 19 1 is a diagram showing a display unit that displays a screen GA23 including a graph GR23 .

[0036] Figure 20 1 is a diagram showing a display unit that displays a screen GA24 including a graph GR24 .

[0037] Figure 21 1 is a diagram showing a display unit that displays a screen GA25 including a graph GR25 .

[0038] Figure 22 1 is a diagram showing a display unit that displays a screen GA26 including a graph GR26 .

[0039] Figure 23 1 is a diagram showing a display unit that displays a screen GA27 including a graph GR27 .

[0040] Figure 24 2 is a diagram showing a display unit that displays a screen GA28 including a graph GR28 .

[0041] Figure 25 It is a diagram showing a display unit that displays an exclusion item registration screen.

[0042] Specific implementation methods

[0043] Hereinafter, referring to the accompanying drawings ( Figures 1 to 25 ) Exemplary embodiments of the factor analysis supporting device, factor analysis supporting method, factor analysis supporting program, and recording medium of the present invention are described. However, the present invention is not limited to the following embodiments. In addition, overlapping portions of the description may be omitted as appropriate. In the figures, identical or corresponding portions are denoted by the same reference numerals, and description thereof will not be repeated.

[0044] [Implementation Method 1]

[0045] First, refer to Figures 1 to 16 Embodiment 1 of the present disclosure will be described. Figure 11 is a diagram illustrating a factor analysis support device 100 according to this embodiment. The factor analysis support device 100 supports factor analysis of an event. In this embodiment, the factor analysis support device 100 is described using the factor analysis of a defect as an example. A defect is an example of an "event."

[0046] like Figure 1 As shown, inspection information is input into the factor analysis support device 100. The inspection information indicates the inspection results. The inspection results indicate whether a defect has occurred. The inspection results are an example of "confirmation results of a matter." In this embodiment, the inspection is performed during the product manufacturing process. The product is manufactured through at least one process.

[0047] Next, refer to Figure 2 Describe the inspection information. Figure 2 is a diagram showing inspection information. Figure 2 As shown, the inspection information includes information indicating the inspection results and multiple classification item information. The multiple classification item information includes information indicating the machine model, location, factory, production line, process, inspection items, inspection jig, operator, supplementary information, and inspection date and time. The machine model, location, factory, production line, process, inspection items, inspection jig, operator, supplementary information, and inspection date and time are each an example of a "classification item." The multiple classification item information each indicates a classification category.

[0048] Specifically, the model number indicates the model of the product. The product is, for example, an electric motor. The model number may indicate, for example, the product number of the electric motor. The location indicates the location where the inspection was performed. The factory indicates the factory where the inspection was performed. The production line indicates the production line where the inspection was performed. The process indicates the process where the inspection was performed. The inspection item indicates the inspection item. The inspection fixture indicates the fixture used during the inspection. The operator indicates the operator responsible for the inspection. The information indicating the operator may indicate, for example, the identification number assigned to the operator. The supplementary information may indicate, for example, the conditions during the inspection. The conditions during the inspection include, for example, the room temperature during the inspection and the setting conditions of the equipment during the inspection. The equipment is installed on the production line. The setting conditions of the equipment are output from the equipment during the inspection. The inspection date and time indicates the date and time of the inspection.

[0049] Furthermore, at least one factory is located at the base. At least one production line is installed in the factory. At least one process is performed in the production line. Products may be manufactured through multiple production lines. When a product is manufactured through multiple processes, the product is inspected for each process during the manufacturing process. At least one inspection item is performed for each process.

[0050] Inspection items include, for example, dimensional inspection. This dimensional inspection includes, for example, inspection of the width of the upper portion, the width of the center portion in the vertical direction, the width of the lower portion, the height of the right portion, the height of the center portion in the horizontal direction, and the height of the left portion. Inspection jigs are, for example, gauges or vernier calipers.

[0051] Figure 2 The inspection information shown shows the results of inspection item A performed by operator A at 00 year 00 month 00 day XX hour XX minute XX second on a product that has undergone process A on production line A of factory A located at base A using inspection jig A. Figure 2 The inspection information shown shows supplementary information A. Supplementary information A includes, for example, the room temperature during the inspection or the equipment settings. Machine model A, location A, factory A, production line A, process A, inspection item A, inspection jig A, operator A, supplementary information A, and year (year, month, day, hour, minute, and second) are examples of "classification categories."

[0052] Next, refer to Figure 3 The factor analysis support device 100 according to this embodiment will be described. Figure 3 1 is a block diagram showing the structure of the factor analysis support device 100 according to this embodiment. Figure 3 As shown, the factor analysis support device 100 includes a display unit 102, an input unit 103, a control unit 104, and a storage unit 105. In this embodiment, the factor analysis support device 100 further includes a communication unit 101. The input unit 103 is an example of a "receiving unit."

[0053] The communication unit 101 communicates with the external device E. The communication unit 101 may also be connected to the external device E via a network. The network may include, for example, an Internet connection. The communication unit 101 may include, for example, a wired LAN (Local Area Network) board or a wired LAN module. The communication unit 101 may also be connected to the external device E via a LAN cable, an access point, or an Internet connection. The communication unit 101 may include a wireless LAN board or a wireless LAN module.

[0054] The external device E is installed at each base or each factory, for example. Figure 2 The inspection information described is transmitted to the factor analysis supporting device 100. The communication unit 101 receives the inspection information from the external device E. Therefore, the communication unit 101 receives the inspection information from each base or each factory.

[0055] The external device E is, for example, a computer. For example, the computer is a personal computer. However, the external device E is not limited to a personal computer as long as it can transmit inspection information to the cause analysis support device 100. For example, the external device E may also be a tablet terminal.

[0056] The display unit 102 displays various screens. Specifically, the display unit 102 displays a screen GA including a graph GR. The graph GR shows information about defects. The display unit 102 also displays a pointer PT. The pointer PT is displayed superimposed on the screen GA. The display unit 102 includes, for example, a liquid crystal display device or an organic EL (electroluminescence) display device.

[0057] The input unit 103 receives various operations of the operator. The input unit 103 inputs a signal corresponding to the received operation to the control unit 104. The control unit 104 performs processing corresponding to the operator's operation. Specifically, the input unit 103 receives a designation operation for designating any one of a plurality of classification items. Figure 2 As described above, the plurality of classification items include machine model, location, factory, production line, process, inspection item, inspection jig, operator, additional information, and inspection date and time.

[0058] The input unit 103 includes, for example, a pointer device. Examples of the pointer device include a mouse or an operation panel. The pointer device may include a touch panel. If the input unit 103 includes a touch panel, the touch panel is disposed on the display surface of the display unit 102. The input unit 103 may also include a keyboard.

[0059] The control unit 104 performs various processes. Specifically, the control unit 104 performs various processes based on the reference Figure 2 The control unit 104 generates a graph GR based on the information showing the inspection results and a plurality of classification item information. Specifically, the control unit 104 generates the graph GR based on the inspection information. More specifically, the control unit 104 categorizes the inspection results according to the classification categories included in the classification items specified by the designation operation, thereby generating the graph GR. The graph GR shows the inspection results categorized by classification category. The classification item information is information used to categorize the inspection results according to the classification categories included in the specified classification items.

[0060] The control unit 104 is hardware. For example, the control unit 104 includes a processor. Examples of processors include a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). The processor can be a general-purpose computer or a dedicated calculator. Examples of dedicated calculators include an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit).

[0061] The control unit 104 executes various processes by executing computer programs stored in the storage unit 105. The computer programs include a factor analysis support program. The control unit 104 generates a graph GR by executing the factor analysis support program and causes the display unit 102 to display a screen GA including the graph GR.

[0062] Storage unit 105 stores various computer programs and data. These programs include a cause analysis support program. The data also includes inspection information. In other words, storage unit 105 stores both the cause analysis support program and the inspection information. Control unit 104 stores the inspection information received by communication unit 101 in storage unit 105.

[0063] More specifically, the storage unit 105 stores information indicating the inspection result in association with a plurality of classification item information. Figure 2 The information indicating the inspection results, information indicating the machine model, information indicating the location, information indicating the factory, information indicating the production line, information indicating the process, information indicating the inspection items, information indicating the inspection jig, information indicating the operator, additional information, and information indicating the inspection date and time are stored in association with each other. Therefore, the storage unit 105 stores the information indicating the inspection results in association with the inspection date and time. The inspection date and time is an example of "the time when the item was confirmed."

[0064] The storage unit 105 includes a main storage device. The main storage device includes, for example, a semiconductor memory. The storage unit 105 may include a ROM (Read Only Memory) and a RAM (Random Access Memory) as the main storage device. The storage unit 105 also includes an auxiliary storage device. The auxiliary storage device includes, for example, at least one of a semiconductor memory and a hard disk drive. The storage unit 105 may also include an SDD (Solid Disk Drive) as the auxiliary storage device. The storage unit 105 may include removable media.

[0065] Furthermore, the factor analysis supporting device 100 may be, for example, a computer device. Computer devices include computers. The factor analysis supporting program stored in the storage unit 105 may also be executed by the computer. For example, the computer device may be a personal computer. However, the factor analysis supporting device 100 is not limited to a personal computer and can be any device including the display unit 102, the input unit 103, the control unit 104, and the storage unit 105. For example, the factor analysis supporting device 100 may also be a tablet terminal.

[0066] The cause analysis auxiliary program can also be stored in ROM. ROM is an example of a non-transitory computer-readable recording medium. However, the non-transitory computer-readable recording medium is not limited to ROM. The non-transitory computer-readable recording medium can be a non-volatile memory accessible to the processor. Alternatively, the non-transitory computer-readable recording medium can be a recording medium that can be distributed or sold independently of the computer device. The non-transitory computer-readable recording medium can be any recording medium that can be accessed by the processor. For example, the non-transitory computer-readable recording medium can be an optical disk, a floppy disk, a hard disk, a magneto-optical disk, a digital video disk, or a magnetic tape.

[0067] Next, refer to Figure 4 The factor analysis support device 100 according to this embodiment will be described. Figure 4 This figure shows the inspection information stored in the storage unit 105 of the factor analysis support device 100 according to this embodiment. In this embodiment, the storage unit 105 stores the various types of information included in the inspection information in a hierarchical manner. Specifically, the storage unit 105 stores information indicating inspection results and a plurality of classification item information in a hierarchical manner.

[0068] like Figure 4 As shown, in this embodiment, information indicating the inspection results and the inspection date and time are arranged on the 0th layer. Information indicating the machine model is arranged on the first layer directly below the 0th layer. Information indicating the process is arranged on the second layer. Information indicating the production line, information indicating the inspection items, information indicating the inspection jig, information indicating the operator, and additional information are arranged on the third layer. Information indicating the factory is arranged on the fourth layer. Information indicating the location is arranged on the fifth layer.

[0069] Next, refer to Figures 1 to 14 The factor analysis support device 100 according to this embodiment will be described. Figure 5 FIG. 1 is a diagram showing the display unit 102 displaying a screen GA1 including a graph GR1. The graph GR1 is an example of a “first graph.” The screen GA1 is an example of a “first screen.”

[0070] The person in charge of factor analysis operates the input unit 103 of the factor analysis support device 100 to instruct the display of the graph GR. In response, the control unit 104 causes the display unit 102 to display a screen GA1 containing the graph GR1. Specifically, the control unit 104 generates the graph GR1 based on the information indicating the inspection results and the plurality of classification item information stored in the storage unit 105, and causes the display unit 102 to display the screen GA1 containing the graph GR1. As a result, the display unit 102 displays the screen GA1 containing the graph GR1 as the screen GA containing the graph GR. In this embodiment, the graph GR includes a Pareto chart.

[0071] like Figure 5 As shown, the graph GR1 shows information related to defects. In this embodiment, the graph GR1 is a Pareto chart showing the number of defects by model. The control unit 104 generates the graph GR1 based on the information showing the inspection results and the information showing the model. Figure 4 As shown, information showing the model is included in the first layer just below "Inspection Result". Figure 5 Graph GR1 illustrates the number of defects that occurred during the manufacturing process of model A, the number of defects that occurred during the manufacturing process of model B, and the number of defects that occurred during the manufacturing process of model C. Here, model A, model B, and model C represent classification categories of the classification item "model."

[0072] More specifically, the graph GR1 shows the number of defects that occurred in the process with the largest number of defects among the processes included in the manufacturing process of the product. Specifically, Figure 5 The graph GR1 shown illustrates the number of defects occurring in the process with the largest number of defects among the processes included in the manufacturing process of model A, the number of defects occurring in the process with the largest number of defects among the processes included in the manufacturing process of model B, and the number of defects occurring in the process with the largest number of defects among the processes included in the manufacturing process of model C.

[0073] According to this embodiment, information related to an event is displayed using a Pareto chart. Therefore, it is easy to analyze the causes of the event. For example, Figure 5 As shown, the number of defects that occur is displayed by model in a Pareto chart (graph GR1). This allows those responsible for factor analysis to easily identify, for example, models that are prone to defects during the manufacturing process. This facilitates factor analysis.

[0074] The input unit 103 receives a designation operation on screen GA1. This designation operation indicates an operation for designating any one of the multiple classification items. Specifically, the control unit 104 displays at least one of the multiple classification items as a first classification item candidate on screen GA1. The input unit 103 receives an operation for designating any one of the first classification item candidates. Hereinafter, the operation of designating any one of the multiple classification items may be referred to as an "item designation operation."

[0075] The item designation operation is an operation for changing the classification item, and the control unit 104 causes the display unit 102 to display the candidates for the next designable classification item. Figure 4 At least one of the plurality of classification items is displayed as a first classification item candidate on the display unit 102. Specifically, the control unit 104 displays the classification item "process" as a first classification item candidate on the screen GA1. Figure 4 As shown, “process” is included in the second layer. The input unit 103 receives an operation for designating the classification item “process” on the screen GA1.

[0076] Specifically, the input unit 103 accepts a category-specifying operation on screen GA1. A category-specifying operation designates one of a plurality of classification categories. In this embodiment, the input unit 103 accepts an operation designating one of models A through C on screen GA1. Hereinafter, the model designated by the category-specifying operation may be referred to as a "designated model."

[0077] Specifically, the control unit 104 displays a pointer PT superimposed on the screen GA1. The input unit 103 accepts an operation for moving the pointer PT. In this embodiment, the category-specifying operation represents an operation of superimposing the pointer PT on one of the multiple charts and selecting the chart on which the pointer PT is superimposed. For example, the chart on which the pointer PT is superimposed can also be selected by right-clicking the mouse. The category-specifying operation on the screen GA1 is an operation of superimposing the pointer PT on any of the charts for model A to model C and selecting the chart on which the pointer PT is superimposed. Figure 5 This illustrates a state where model A is specified by the category specifying operation.

[0078] When one of the plurality of classification categories (Model A to Model C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA1. Hereinafter, the small window SW displayed on the screen GA1 may be referred to as "small window SW1".

[0079] The small window SW1 includes a text image showing "Process". In this embodiment, the small window SW1 also includes a text image showing "Time Passage". "Time Passage" corresponds to the classification item "Inspection Date and Time". For "Time Passage", refer to Figure 6 This will be described later.

[0080] In this embodiment, the item designation operation is an operation of selecting one of the character images included in the small window SW. For example, after overlapping the pointer PT on one of the character images included in the small window SW, the classification item can be selected by right-clicking the mouse.

[0081] Next, refer to Figure 6 The factor analysis support device 100 according to this embodiment will be described. Figure 6 1 is a diagram showing the display unit 102 displaying the screen GA2 including the graph GR2. Figure 5 When the classification item “time transition” is designated by the item designation operation in the screen GA1 shown, the screen GA2 is displayed on the display unit 102.

[0082] The graph GR2 shows the temporal transition of the number of defects that occurred during the manufacturing process of a specified model. The graph GR2 is an example of a line graph showing the temporal transition of the results of item confirmation. Figure 6 The graph GR2 displayed when the designated model is model A is shown as an example. Figure 6 The graph GR2 illustrates the temporal transition of the number of defects that occurred during the manufacturing process of model A. The control unit 104 generates the graph GR2 based on the information indicating the inspection result, the information indicating the inspection date and time, and the information indicating the model.

[0083] As reference Figure 6 As described above, the graph GR includes a line graph (graph GR2) showing the time course of the confirmation results of the event. Therefore, it is easy to perform factor analysis of the event. For example, Figure 6 As shown, a line graph displays the temporal evolution of the number of defects for a specified model. This allows those responsible for factor analysis to easily identify, for example, the time period when defects are most likely to occur. This facilitates factor analysis.

[0084] Next, refer to Figure 7 The factor analysis support device 100 according to this embodiment will be described. Figure 7 1 is a diagram showing the display unit 102 displaying the screen GA3 including the graph GR3. Figure 5 After the classification item "process" is specified by the item specifying operation on the screen GA1 shown, the screen GA3 is displayed on the display unit 102. The graph GR3 is an example of the "second graph." The screen GA3 is an example of the "second screen."

[0085] like Figure 7 As shown, the control unit 104 generates a graph (graph GR3) showing information related to the matter for each classification category (process A, process B, and process C) of the first classification item "process" specified on screen GA1, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA3 containing graph GR3. As a result, the display unit 102 displays screen GA3 containing graph GR3 as screen GA containing graph GR. Specifically, the person in charge of factor analysis operates the input unit 103 of the factor analysis support device 100 and specifies the classification item "process" on screen GA1 through an item designation operation. In response, the control unit 104 causes the display unit 102 to display screen GA3.

[0086] Figure 7 The graph GR3 shown is a Pareto chart showing the number of defects that occurred during the manufacturing process of a specified model by process. The control unit 104 generates the graph GR3 based on the information showing the inspection results, the information showing the model, and the information showing the process. Figure 4 As shown, information indicating the process is included in the second layer. Figure 7 Graph GR3 illustrates the number of defects that occurred in process A, the number of defects that occurred in process B, and the number of defects that occurred in process C, all included in the manufacturing process of model A. Here, process A, process B, and process C represent classification categories for the classification item "process."

[0087] According to this embodiment, the number of defects for a specified model is displayed by process in the Pareto chart (graph GR3). This allows those responsible for factor analysis to easily identify, for example, processes prone to defects. This facilitates factor analysis.

[0088] The input unit 103 also receives an item designation operation on the screen GA3. Specifically, the control unit 104 displays at least one of the plurality of classification items as a second classification item candidate on the screen GA3. The input unit 103 receives an operation (item designation operation) to designate any of the second classification item candidates.

[0089] In this embodiment, the control unit 104 follows the reference Figure 4At the level of explanation, at least one of the multiple classification items is displayed on the display unit 102 as a second classification item candidate. Specifically, the control unit 104 displays the classification item "Production Line," the classification item "Inspection Item," the classification item "Inspection Jig," the classification item "Operator," and the classification item "Supplementary Information" on the screen GA3 as second classification item candidates. Furthermore, the control unit 104 also displays the classification item "Time Passage" as a second classification item candidate on the screen GA3.

[0090] The input unit 103 receives an operation for designating any one of the classification items "production line", "inspection item", "inspection jig", "worker", "supplementary information", and "time lapse" on the screen GA3. Figure 4 As shown, "Production Line", "Inspection Item", "Inspection Jig", "Operator", and "Additional Information" are included in the third layer.

[0091] Specifically, the input unit 103 accepts a category designation operation on the screen GA3. In this embodiment, the input unit 103 accepts an operation on the screen GA3 to designate any one of steps A to C. Hereinafter, a step designated by a category designation operation may be referred to as a "designated step." Figure 7 The state of process A is specified by the category specifying operation.

[0092] When one of the plurality of classification categories (process A to process C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA3. Hereinafter, the small window SW displayed on the screen GA3 may be referred to as "small window SW2".

[0093] The small window SW2 includes a text image indicating "Production Line," a text image indicating "Inspection Items," a text image indicating "Inspection Jig," a text image indicating "Operator," and a text image indicating "Additional Information." In this embodiment, the small window SW2 also includes a text image indicating "Time Passage."

[0094] When "Time Passage" is selected through the item designation operation on screen GA3, control unit 104 generates a line graph showing the time-lapse of the number of defects occurring in a specified process within the manufacturing process of the specified model, and displays it on display unit 102. For example, if the specified model is Model A and the specified process is Process A, the line graph shows the time-lapse of the number of defects occurring in Process A within the manufacturing process of Model A. This allows those responsible for factor analysis to easily identify, for example, time periods prone to defect occurrence. Consequently, this embodiment facilitates factor analysis.

[0095] Next, refer to Figure 8 The factor analysis support device 100 according to this embodiment will be described. Figure 8 1 is a diagram showing the display unit 102 displaying the screen GA4 including the graph GR4. Figure 7 After the classification item "production line" is specified by the item specifying operation on the screen GA3 shown, a screen GA4 is displayed on the display unit 102. The graph GR4 is an example of a "third graph." The screen GA4 is an example of a "third screen."

[0096] like Figure 8 As shown, the control unit 104 generates a graph (graph GR4) showing information related to the event for each classification category (line A, line B, and line C) of the second classification item "line" specified on screen GA3, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA4 including graph GR4. As a result, the display unit 102 displays screen GA4 including graph GR4 as screen GA including graph GR.

[0097] Figure 8 The graph GR4 shown is a Pareto chart showing the number of defects that occurred in a specified process included in the manufacturing process of a specified model by production line. The control unit 104 generates the graph GR4 based on the information showing the inspection results, the information showing the model, the information showing the process, and the information showing the production line. Figure 4 As shown, information showing the production line is contained in the third layer. Figure 8 Graph GR4 illustrates the number of defects occurring in process A performed on line A, the number of defects occurring in process A performed on line B, and the number of defects occurring in process A performed on line C. Line A, Line B, and Line C represent classification categories for the classification item "line."

[0098] According to this embodiment, the number of defects occurring in a specified process within the manufacturing process of a specified model is displayed by production line using a Pareto chart (graph GR4). This allows those responsible for factor analysis to easily identify, for example, production lines prone to defects. This facilitates factor analysis.

[0099] Input unit 103 and reference Figure 5 and Figure 7 Similar to the screens GA1 and GA3 described above, the screen GA4 also accepts item designation operations. Figure 4The screen GA4 displays the classification item "factory" and the classification item "process". In addition, the control unit 104 also displays the classification item "time lapse" on the screen GA4. The input unit 103 receives an operation to designate any one of the classification items "factory", "process" and "time lapse" on the screen GA4. Figure 4 As shown in the figure, "factory" is included in the fourth layer. In addition, "process" is included in the second layer.

[0100] Specifically, the input unit 103 accepts a category specifying operation on the screen GA4. In this embodiment, the input unit 103 accepts an operation on the screen GA4 to specify any one of the production lines A to C. Hereinafter, the production line specified by the category specifying operation may be referred to as a "specified line." Figure 8 This illustrates a state where production line A is specified by the category specifying operation.

[0101] When one of the plurality of classification categories (line A to line C) is designated by the category designation operation, the control unit 104 overlays and displays a small window SW on the screen GA4. Hereinafter, the small window SW displayed on the screen GA4 may be referred to as "small window SW3".

[0102] The small window SW3 includes a text image showing "factory" and a text image showing "process." In this embodiment, the small window SW3 also includes a text image showing "time lapse."

[0103] When “Process” is designated by the item designation operation in the display of the screen GA4, the control unit 104 causes the display unit 102 to display the reference Figure 7 Explanation screen GA3.

[0104] Furthermore, when "Time Passage" is specified in the item designation operation on screen GA4, the control unit 104 generates a line graph showing the time-lapse of the number of defects occurring in a specified process performed on a specified line, and displays it on the display unit 102. For example, if the specified machine model is Model A, the specified process is Process A, and the specified line is Line A, the line graph shows the time-lapse of the number of defects occurring in Process A performed on Line A of Model A. Therefore, those responsible for factor analysis can easily identify, for example, the time period when defects are most likely to occur in Process A performed on Line A. This facilitates factor analysis.

[0105] Next, refer to Figure 9 The factor analysis support device 100 according to this embodiment will be described. Figure 9 1 is a diagram showing the display unit 102 displaying the screen GA5 including the graph GR5. Figure 8When the classification item “factory” is specified by the item specifying operation on the screen GA4 shown, the screen GA5 is displayed on the display unit 102.

[0106] like Figure 9 As shown, the control unit 104 generates a graph (graph GR5) showing information related to the event for each classification category (factory A, factory B, and factory C) of the classification item "factory" specified on the screen GA4, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display the screen GA5 containing the graph GR5. As a result, the display unit 102 displays the screen GA5 containing the graph GR5 as the screen GA containing the graph GR.

[0107] Figure 9 The graph GR5 shown is a Pareto chart showing the number of defects that occurred in a specified process performed on a specified line by factory. The control unit 104 generates the graph GR5 based on the information showing the inspection results, the information showing the machine model, the information showing the process, the information showing the production line, and the information showing the factory. Figure 4 As shown, information showing the factory is contained in the fourth layer. Figure 9 Graph GR5 illustrates the number of defects occurring in process A performed by production line A in factory A, the number of defects occurring in process A performed by production line A in factory B, and the number of defects occurring in process A performed by production line A in factory C. Here, factory A, factory B, and factory C represent classification categories for the classification item "factory."

[0108] According to this embodiment, the number of defects occurring in a specific process performed on a specific line is displayed by factory in a Pareto chart (graph GR5). This allows those responsible for factor analysis to easily identify factories prone to defects, for example. This facilitates factor analysis.

[0109] Input unit 103 and reference Figure 5 、 Figure 7 as well as Figure 8 Similarly to the screens GA1, GA3, and GA4 described above, the screen GA5 further accepts an item designation operation. Figure 4 The screen GA5 displays the classification item "location", the classification item "process", and the classification item "production line". In addition, the control unit 104 also displays the classification item "time lapse" on the screen GA5. The input unit 103 receives an operation to designate any one of the classification items "location", "process", "production line", and "time lapse" on the screen GA5. Figure 4 As shown, "Base" is included in the fifth layer. Furthermore, "Process" is included in the second layer. "Production Line" is a classification item included in the third layer, located directly above the "Factory" classification item in the fourth layer.

[0110] Specifically, the input unit 103 accepts a category specifying operation on the screen GA5. In this embodiment, the input unit 103 accepts an operation on the screen GA5 to specify any one of the factories A to C. Hereinafter, a factory specified by a category specifying operation may be referred to as a "specified factory." Figure 9 This illustrates a state where the factory A is specified by the category specifying operation.

[0111] When one of the plurality of classification categories (factory A to factory C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA5. Hereinafter, the small window SW displayed on the screen GA5 may be referred to as "small window SW4".

[0112] The small window SW4 includes a text image showing "base", a text image showing "process", and a text image showing "production line". In this embodiment, the small window SW4 also includes a text image showing "time passage".

[0113] When “Process” is designated by the item designation operation in the display of the screen GA5, the control unit 104 causes the display unit 102 to display the reference Figure 7 In addition, when "production line" is specified, the control unit 104 causes the display unit 102 to display the reference Figure 8 Explanation screen GA4.

[0114] Furthermore, when "Time Passage" is specified in the item designation operation displayed on screen GA5, the control unit 104 generates a line graph showing the time-lapse of the number of defects occurring in a specified process performed on a specified line in a specified factory, and displays it on the display unit 102. For example, if the specified machine model is Model A, the specified process is Process A, the specified line is Line A, and the specified factory is Factory A, the line graph shows the time-lapse of the number of defects occurring in Process A performed on Line A in Factory A, which produces Machine Model A. Therefore, those responsible for factor analysis can easily identify, for example, the time period during which defects are most likely to occur in Process A performed on Line A in Factory A. Consequently, factor analysis is facilitated.

[0115] Next, refer to Figure 10 The factor analysis support device 100 according to this embodiment will be described. Figure 10 1 is a diagram showing the display unit 102 displaying the screen GA6 including the graph GR6. Figure 9When the classification item “base” is designated by the item designation operation on the screen GA5 shown, the screen GA6 is displayed on the display unit 102.

[0116] like Figure 10 As shown, the control unit 104 generates a graph (graph GR6) showing information related to the matter for each classification category (site A, site B, and site C) of the classification item "site" specified on screen GA5, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA6 including graph GR6. As a result, the display unit 102 displays screen GA6 including graph GR6 as screen GA including graph GR.

[0117] Figure 10 The graph GR6 shown is a Pareto chart showing the number of defects that occurred in a specified process performed by a specified line in a specified factory, by location. The control unit 104 generates the graph GR6 based on the information showing the inspection results, the information showing the machine model, the information showing the process, the information showing the production line, the information showing the factory, and the information showing the location. Figure 4 As shown, information indicating the base is included in the fifth layer. Figure 10 Graph GR6 illustrates the number of defects occurring in process A performed by production line A at factory A located at site A, the number of defects occurring in process A performed by production line A at factory A located at site B, and the number of defects occurring in process A performed by production line A at factory A located at site C. Sites A, B, and C represent the classification category of the classification item "site."

[0118] According to this embodiment, the number of defects occurring in a specified process performed on a specified line in a specified factory is displayed by site in a Pareto chart (graph GR6). This allows those responsible for factor analysis to easily identify sites where defects are most likely to occur, for example. This facilitates factor analysis.

[0119] Input unit 103 and reference Figure 5 as well as Figures 7 to 9 Similarly to the screen GA1 and the screens GA3 to GA5 described above, the item designation operation is also accepted in the screen GA6. Figure 4 The screen GA6 displays the classification item "process" and the classification item "factory". In addition, the control unit 104 also displays the classification item "time lapse" on the screen GA6. The input unit 103 receives an operation to designate any one of the classification items "process", "factory" and "time lapse" on the screen GA6. Figure 4 As shown, "Process" is included in the second layer. In addition, "Factory" is included in the fourth layer.

[0120] Specifically, the input unit 103 accepts a category specifying operation on screen GA6. In this embodiment, the input unit 103 accepts an operation to specify any one of sites A to C on screen GA6. Hereinafter, a site specified by a category specifying operation may be referred to as a "specified site." Figure 10 This example shows the state where site A is specified by the category specification operation.

[0121] When one of the plurality of classification categories (bases A to C) is designated by the category designation operation, the control unit 104 displays a small window SW5 superimposed on the screen GA6. Hereinafter, the small window SW displayed on the screen GA6 may be referred to as "small window SW5".

[0122] The small window SW5 includes a text image showing "process" and a text image showing "factory." In this embodiment, the small window SW5 also includes a text image showing "time lapse."

[0123] When “Process” is designated by the item designation operation in the display of the screen GA6, the control unit 104 causes the display unit 102 to display the reference Figure 7 In addition, when "factory" is specified, the control unit 104 causes the display unit 102 to display the reference Figure 9 Description screen GA5.

[0124] Furthermore, when "Time Passage" is selected through the item designation operation on screen GA6, the control unit 104 generates a line graph showing the time-lapse of the number of defects occurring in a specified process performed on a specified line in a specified factory at a specified location, and displays it on the display unit 102. For example, if the specified machine model is Model A, the specified process is Process A, the specified line is Line A, the specified factory is Factory A, and the specified location is Location A, the line graph shows the time-lapse of the number of defects occurring in Process A performed on Line A at Factory A at Location A, which produces Machine Model A. Therefore, those responsible for factor analysis can easily identify, for example, the time period during which defects are most likely to occur in Process A performed on Line A at Factory A at Location A. This facilitates factor analysis.

[0125] Next, refer to Figure 11 The factor analysis support device 100 according to this embodiment will be described. Figure 11 1 is a diagram showing the display unit 102 displaying the screen GA7 including the graph GR7. Figure 7After the classification item "inspection item" is specified by the item specifying operation in the screen GA3 shown, a screen GA7 is displayed on the display unit 102. The graph GR7 is an example of the "third graph." The screen GA7 is an example of the "third screen."

[0126] like Figure 11 As shown, the control unit 104 generates a graph (graph GR7) showing information related to the matter for each classification category (inspection item A, inspection item B, and inspection item C) of the second classification item "inspection item" specified on the screen GA3, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display the screen GA7 including the graph GR7. As a result, the display unit 102 displays the screen GA7 including the graph GR7 as the screen GA including the graph GR.

[0127] Figure 11 The graph GR7 shown is a Pareto chart showing the number of defects that occurred in a specified process included in the manufacturing process of a specified model by inspection item. The control unit 104 generates the graph GR7 based on the information showing the inspection results, the information showing the model, the information showing the process, and the information showing the inspection items. Figure 4 As shown, information indicating inspection items is included in the third layer. Figure 11 Graph GR7 illustrates the number of defects occurring in inspection item A of process A, the number of defects occurring in inspection item B of process A, and the number of defects occurring in inspection item C of process A. Here, inspection item A, inspection item B, and inspection item C represent classification categories of the classification item "inspection item."

[0128] According to this embodiment, a Pareto chart (graph GR7) displays the number of defects occurring in a specific process within the manufacturing process of a specific model, by inspection item. This allows those responsible for factor analysis to easily identify inspection items that are prone to defects, for example. This facilitates factor analysis.

[0129] Input unit 103 and reference Figure 5 as well as Figures 7 to 10 Similarly to the screen GA1 and the screens GA3 to GA6 described above, the item designation operation is also accepted in the screen GA7. Figure 4The screen GA7 displays the classification item "production line" and the classification item "process". In addition, the control unit 104 also displays the classification item "time lapse" on the screen GA7. The input unit 103 receives an operation to designate any one of the classification items "production line", "process" and "time lapse" on the screen GA7. Figure 4 As shown, "Production Line" and "Inspection Item" are included in the third layer. In addition, "Process" is included in the second layer.

[0130] Specifically, the input unit 103 accepts a category designation operation on screen GA7. In this embodiment, the input unit 103 accepts an operation to designate any one of inspection items A to C on screen GA7. Hereinafter, an inspection item designated by a category designation operation may be referred to as a "designated inspection item." Figure 11 This illustrates a state where inspection item A is specified by the category specifying operation.

[0131] When one of the plurality of classification categories (inspection items A to C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA7. Hereinafter, the small window SW displayed on the screen GA7 may be referred to as "small window SW6".

[0132] The small window SW6 includes a text image showing "production line" and a text image showing "process." In this embodiment, the small window SW6 also includes a text image showing "time lapse."

[0133] When “Process” is designated by the item designation operation in the display of the screen GA7, the control unit 104 causes the display unit 102 to display the reference Figure 7 In addition, when "production line" is specified, the control unit 104 causes the display unit 102 to display the reference Figure 8 Explanation screen GA4.

[0134] Furthermore, when "Time Passage" is selected through the item designation operation on screen GA7, the control unit 104 generates a line graph showing the time-lapse of the number of defects occurring in a specified inspection item performed in a specified process, and displays it on the display unit 102. For example, if the specified model is Model A, the specified process is Process A, and the specified inspection item is Inspection Item A, the line graph shows the time-lapse of the number of defects occurring in Inspection Item A performed in Process A included in the manufacturing process of Model A. Therefore, those responsible for factor analysis can easily identify, for example, the time period during Process A when defects are most likely to occur in Inspection Item A. Consequently, factor analysis is facilitated.

[0135] Next, refer to Figure 12The factor analysis support device 100 according to this embodiment will be described. Figure 12 1 is a diagram showing the display unit 102 displaying the screen GA8 including the graph GR8. Figure 7 After the classification item "inspection jig" is specified by the item specifying operation on the screen GA3 shown, a screen GA8 is displayed on the display unit 102. The graph GR8 is an example of a "third graph." The screen GA8 is an example of a "third screen."

[0136] like Figure 12 As shown, the control unit 104 generates a graph (graph GR8) showing information related to the matter for each classification category (inspection jig A, inspection jig B, and inspection jig C) of the second classification item "inspection jig" specified on screen GA3, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA8 containing graph GR8. As a result, the display unit 102 displays screen GA8 containing graph GR8 as screen GA containing graph GR.

[0137] Figure 12 The graph GR8 shown is a Pareto chart showing the number of defects that occurred in a specified process included in the manufacturing process of a specified model by inspection jig. The control unit 104 generates the graph GR8 based on the information showing the inspection results, the information showing the model, the information showing the process, and the information showing the inspection jig. Figure 4 As shown, information indicating the inspection jig is included in the third layer. Figure 12 Graph GR8 illustrates the number of defective items inspected using inspection jig A in process A, the number of defective items inspected using inspection jig B in process A, and the number of defective items inspected using inspection jig C in process A. Here, inspection jig A, inspection jig B, and inspection jig C represent classification categories for the classification item "inspection jig."

[0138] According to this embodiment, a Pareto chart (graph GR8) displays the number of defects occurring in a specific process within the manufacturing process of a specific model, by inspection jig. This allows those responsible for factor analysis to easily identify inspection jigs that are most likely to detect defects, for example. This facilitates factor analysis.

[0139] Input unit 103 and reference Figure 5 as well as Figures 7 to 11 Similarly to the screen GA1 and the screens GA3 to GA7 described above, the item designation operation is also accepted in the screen GA8. Figure 4As explained above, the classification item "Process" is displayed on screen GA8. Furthermore, the control unit 104 also displays the classification item "Time Passage" on screen GA8. The input unit 103 accepts an operation to designate either the classification item "Process" or the classification item "Time Passage" on screen GA8.

[0140] Specifically, the input unit 103 accepts a category designation operation on screen GA8. In this embodiment, the input unit 103 accepts an operation on screen GA8 to designate any one of the inspection jigs A to C. Hereinafter, the inspection jig designated by the category designation operation may be referred to as a "designated jig." Figure 12 The state where the inspection jig A is specified by the type specifying operation is illustrated.

[0141] When one of the plurality of classification categories (inspection jigs A to C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA8. Hereinafter, the small window SW displayed on the screen GA8 may be referred to as "small window SW7".

[0142] The small window SW7 includes a text image showing “Process.” In this embodiment, the small window SW7 also includes a text image showing the classification item “Time Passage.”

[0143] When “Process” is designated by the item designation operation in the display of the screen GA8, the control unit 104 causes the display unit 102 to display the reference Figure 7 Explanation screen GA3.

[0144] Furthermore, when "Time Passage" is specified in the item designation operation displayed on screen GA8, the control unit 104 generates a line graph showing the time-lapse of the number of defective parts inspected using a specified jig in a specified process, and displays it on the display unit 102. For example, if the specified machine model is Model A, the specified process is Process A, and the specified jig is Inspection Jig A, the line graph shows the time-lapse of the number of defective parts inspected using Inspection Jig A in Process A included in the manufacturing process of Model A. Therefore, those responsible for factor analysis can easily identify, for example, the time period when defects are most likely to occur during inspections using Inspection Jig A. This facilitates factor analysis.

[0145] In addition, with reference Figure 11 Similarly to the screen GA7 described above, other classification items (for example, production lines) on the third level may be displayed on the screen GA8 as designated objects of the item designation operation.

[0146] Next, refer to Figure 13 The factor analysis support device 100 according to this embodiment will be described. Figure 131 is a diagram showing the display unit 102 displaying the screen GA9 including the graph GR9. Figure 7 After the classification item "worker" is specified by the item specifying operation in the screen GA3 shown, the screen GA9 is displayed on the display unit 102. The graph GR9 is an example of the "third graph." The screen GA9 is an example of the "third screen."

[0147] like Figure 13 As shown, the control unit 104 generates a graph (graph GR9) showing information related to the matter for each classification category (worker A, worker B, and worker C) of the second classification item "worker" specified on screen GA3, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA9 including graph GR9. As a result, the display unit 102 displays screen GA9 including graph GR9 as screen GA including graph GR.

[0148] Figure 13 The graph GR9 shown is a Pareto chart showing the number of defects that occurred in a specified process included in the manufacturing process of a specified model by operator. The control unit 104 generates the graph GR9 based on the information showing the inspection results, the information showing the model, the information showing the process, and the information showing the operator. Figure 4 As shown, information indicating the operator is included in the third layer. Figure 13 Graph GR9 illustrates the number of defective items inspected by operator A in process A, the number of defective items inspected by operator B in process A, and the number of defective items inspected by operator C in process A. Operators A, B, and C represent classification categories for the classification item "operator."

[0149] According to this embodiment, a Pareto chart (graph GR9) displays the number of defects occurring in a specified process within the manufacturing process of a specified machine model, by operator. This allows those responsible for factor analysis to easily identify, for example, operators whose inspection results are most likely to cause defects. This facilitates factor analysis.

[0150] Input unit 103 and reference Figure 5 as well as Figures 7 to 12 Similarly to the screen GA1 and the screens GA3 to GA8 described above, the item designation operation is also accepted in the screen GA9. Figure 4The classification item "Process" is displayed on screen GA9. Furthermore, the control unit 104 also displays the classification item "Time Passage" on screen GA9. The input unit 103 accepts an operation to designate either the classification item "Process" or the classification item "Time Passage" on screen GA9.

[0151] Specifically, the input unit 103 accepts a category designation operation on the screen GA9. In this embodiment, the input unit 103 accepts an operation on the screen GA9 to designate any one of the operators A to C. Hereinafter, the operator designated by the category designation operation may be referred to as a "designated operator." Figure 13 This illustrates a state where worker A is specified by the category specifying operation.

[0152] When one of the plurality of classification categories (workers A to C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA9. Hereinafter, the small window SW displayed on the screen GA9 may be referred to as "small window SW8".

[0153] Small window SW8 and reference Figure 12 Similarly, the small explanatory window SW7 includes a text image showing "process" and a text image showing "time lapse".

[0154] When “Process” is designated by the item designation operation in the display of the screen GA9, the control unit 104 causes the display unit 102 to display the reference Figure 7 Explanation screen GA3.

[0155] Furthermore, when "Time Passage" is specified in the item designation operation displayed on screen GA9, the control unit 104 generates a line graph showing the time-lapse of the number of defective parts inspected by the designated operator in the designated process, and displays it on the display unit 102. For example, if the designated model is Model A, the designated process is Process A, and the designated operator is Operator A, the line graph shows the time-lapse of the number of defective parts inspected by Operator A in Process A, included in the manufacturing process of Model A. This allows those responsible for factor analysis to easily identify, for example, the time period during which defects are more likely to occur during Operator A's inspections. Consequently, factor analysis is facilitated.

[0156] In addition, with reference Figure 11 Similarly to the screen GA7 described above, other classification items (for example, production lines) on the third level may be displayed on the screen GA9 as designated objects of the item designation operation.

[0157] Next, refer to Figure 14 The factor analysis support device 100 according to this embodiment will be described. Figure 141 is a diagram showing a display unit 102 that displays a screen GA10 including a graph GR10. Figure 7 After the classification item "supplementary information" is designated by the item designation operation on the screen GA3 shown, a screen GA10 is displayed on the display unit 102. The graph GR10 is an example of a "third graph." The screen GA10 is an example of a "third screen."

[0158] like Figure 14 As shown, the control unit 104 generates a graph (graph GR10) showing information related to the matter for each classification category (supplementary information A, supplementary information B, and supplementary information C) of the second classification item "supplementary information" specified on screen GA3, based on the information showing the inspection results and the plurality of classification item information stored in the storage unit 105. The control unit 104 then causes the display unit 102 to display screen GA10 including graph GR10. As a result, the display unit 102 displays screen GA10 including graph GR10 as screen GA including graph GR.

[0159] Figure 14 The graph GR10 shown is a Pareto chart showing the number of defects that occurred in a specified process included in the manufacturing process of a specified model according to the accompanying information. The control unit 104 generates the graph GR10 based on the information showing the inspection results, the information showing the model, the information showing the process, and the accompanying information. Figure 4 As shown, additional information is contained in the third layer. Figure 14 Graph GR10 illustrates the number of defects occurring in process A whose accompanying information is accompanying information A, the number of defects occurring whose accompanying information is accompanying information B, and the number of defects occurring whose accompanying information is accompanying information C. Here, accompanying information A, accompanying information B, and accompanying information C represent classification categories for the classification item "accompanying information."

[0160] According to this embodiment, the number of defects occurring in a specified process within the manufacturing process of a specified model is displayed by accompanying information in a Pareto chart (graph GR10). This allows those responsible for factor analysis to easily identify, for example, accompanying information that is prone to defects. This facilitates factor analysis.

[0161] Input unit 103 and reference Figure 5 as well as Figures 7 to 13 Similarly to the screen GA1 and the screens GA3 to GA9 described above, the screen GA10 also accepts an item designation operation. Figure 4As described above, the classification item "Process" is displayed on screen GA10. Furthermore, the control unit 104 also displays the classification item "Time Passage" on screen GA10. The input unit 103 accepts an operation to designate either the classification item "Process" or the classification item "Time Passage" on screen GA10.

[0162] Specifically, the input unit 103 accepts a category specifying operation on the screen GA10. In this embodiment, the input unit 103 accepts an operation to specify any one of the supplementary information A to C on the screen GA10. Hereinafter, supplementary information specified by a category specifying operation may be referred to as "specified supplementary information." Figure 14 A state in which the incidental information A is specified by the category specifying operation is exemplified.

[0163] When one of the plurality of classification categories (supplementary information A to supplementary information C) is designated by the category designation operation, the control unit 104 displays a small window SW superimposed on the screen GA10. Hereinafter, the small window SW displayed on the screen GA10 may be referred to as "small window SW9".

[0164] Small window SW9 and reference Figure 12 and Figure 13 The small windows SW7 and SW8 described above also include a text image showing "process" and a text image showing "time lapse".

[0165] When “Process” is designated by the item designation operation in the display of the screen GA10, the control unit 104 causes the display unit 102 to display the reference Figure 7 Explanation screen GA3.

[0166] Furthermore, when "Time Passage" is specified through the item designation operation on the display screen GA10, the control unit 104 generates a line graph showing the time-lapse of the number of defects with the specified accompanying information occurring in the specified process, and displays it on the display unit 102. For example, if the specified model is Model A, the specified process is Process A, and the specified accompanying information is Additional Information A, the line graph shows the time-lapse of the number of defects with the accompanying information A occurring in Process A included in the manufacturing process of Model A. Therefore, those responsible for factor analysis can easily identify time periods when defects are more likely to occur, for example, when the accompanying information is Additional Information A. Consequently, factor analysis is facilitated.

[0167] In addition, with reference Figure 11 Similarly to the screen GA7 described above, other classification items (for example, production lines) on the third level may be displayed on the screen GA10 as designated objects of the item designation operation.

[0168] Next, refer to Figures 1 to 15 The method for assisting factor analysis of this embodiment is described. The method for assisting factor analysis assists factor analysis of an event. Figures 1 to 14 The factor analysis supporting method executed by the factor analysis supporting device 100 will be described. Figure 15 This is a flowchart showing the processing executed by the control unit 104 included in the factor analysis support device 100 according to the present embodiment. Figure 15 The illustrated process is started when the person in charge of the factor analysis operates the input unit 103 of the factor analysis support device 100 to instruct the display of the graph GR.

[0169] When the person in charge of the cause analysis operates the input unit 103 of the cause analysis support device 100 to instruct the display of the graph GR, as shown in FIG. Figure 5 As described above, the control unit 104 generates a graph GR (graph GR1) showing the number of defects by model based on the information showing the inspection results and the plurality of classification item information (step S1). The control unit 104 then causes the display unit 102 to display a screen GA1 including the graph GR1 (step S2). As a result, the display unit 102 displays the screen GA1 including the graph GR1 as the screen GA including the graph GR.

[0170] After the screen GA1 including the graph GR1 is displayed on the display unit 102, the input unit 103 accepts a type-specifying operation. The control unit 104 determines whether the input unit 103 has accepted the category-specifying operation (step S3). The control unit 104 enters a standby state until the input unit 103 accepts the category-specifying operation ("No" in step S3). In the following description, the classification category specified by the category-specifying operation may be referred to as the "specified category."

[0171] After accepting the category designation operation, the input unit 103 accepts the item designation operation. For example, the input unit 103 accepts the item designation operation on screen GA1. If the control unit 104 determines that the input unit 103 has accepted the category designation operation ("Yes" in step S3), it determines whether the input unit 103 has accepted the item designation operation (step S4). The control unit 104 enters a standby state before the input unit 103 accepts the item designation operation ("No" in step S4). In addition, in the following description, the classification item specified by the item designation operation may sometimes be described as a "specified item."

[0172] When the control unit 104 determines that the input unit 103 has accepted the item specifying operation (Yes in step S4), it determines whether “time shift” has been specified by the item specifying operation (step S5).

[0173] When the control unit 104 determines that "time lapse" is not specified by the item specifying operation ("No" in step S5), it generates a graph GR showing the number of items confirmed as defects in the specified item by specified category based on the information showing the inspection results and the plurality of classification item information (step S6), and displays it on the display unit 102 (step S7). For example, as shown in FIG. Figure 7 As described above, the control unit 104 generates a graph GR3 based on the information indicating the inspection results and the plurality of classification item information (step S6). The control unit 104 then causes the display unit 102 to display a screen GA3 including the graph GR3 (step S7). As a result, the display unit 102 displays the screen GA3 including the graph GR3 as the screen GA including the graph GR.

[0174] After the control unit 104 causes the display unit 102 to display the screen GA (screen GA1), the process returns to step S3. The screen GA (screen GA1) includes a graph GR (graph GR1) showing the number of items confirmed as defects in the specified item by specified category. Thereafter, the control unit 104 repeats the process of steps S3 to S7 until "time lapse" is specified by the item specifying operation. As a result, the display unit 102 displays the reference Figures 7 to 14 Graphs GR3 to GR10 (screens GA3 to GA10) to be described.

[0175] When the control unit 104 determines that "time transition" is specified by the item specifying operation ("Yes" in step S5), it generates a graph showing the time transition of the number of items confirmed as defects in the specified category (step S8) and displays it on the display unit 102 (step S9). As a result, Figure 15 For example, the control unit 104 generates a reference Figure 6 The graph GR2 described above causes the display unit 102 to display a screen GA2 including the graph GR2.

[0176] In addition, the factor analysis support program stored in the storage unit 105 can also be executed by the computer. Figure 15 In other words, the factor analysis supporting program may cause a computer to execute calculations according to the factor analysis supporting method of this embodiment.

[0177] Reference above Figures 1 to 15 Embodiment 1 of the present disclosure has been described. According to this embodiment, the classification items of the confirmation results of the event can be changed. Therefore, the cause analysis of the event can be performed from various viewpoints.

[0178] Furthermore, according to this embodiment, when changing a classification item, the person in charge of factor analysis can specify the next classification item from a portion of the multiple classification items. Therefore, the next classification item can be specified more easily than when specifying the next classification item from all classification items.

[0179] Next, the reference Figure 5 A modification of the previously described graph GR1 will be described. Figure 16 1 is a diagram showing the display unit 102 displaying a screen GA11 including a graph GR11. The graph GR11 is a modified example of the graph GR1.

[0180] Reference Figure 5 The graph GR1 described above shows the number of defects in the process with the largest number of defects among the processes included in the manufacturing process of the product. However, the control unit 104 may also display the number of defects in the process with the largest number of defects. Figure 16 As shown in FIG. 1 , a graph GR (graph GR11 ) is generated that shows the number of defective items in each process included in the manufacturing process of the product for each model. Figure 16 Chart GR11 illustrates the number of defects occurring in processes A to C included in the manufacturing process of model A, the number of defects occurring in processes A to C included in the manufacturing process of model B, and the number of defects occurring in processes A to C included in the manufacturing process of model C.

[0181] According to the chart GR11, the number of defects of each model can be displayed by process, so it is compared with the reference Figure 7 Similarly, the graph GR3 described above can display the next candidate for the specified classification item. Figure 4 The third level contains the classification items shown in . Specifically, Figure 16 As shown, the control unit 104 can display the classification item “production line”, the classification item “inspection item”, the classification item “inspection jig”, the classification item “worker”, and the classification item “supplementary information” as second classification item candidates on the screen GA11.

[0182] [Implementation Method 2]

[0183] Next, refer to Figures 1 to 20 Embodiment 2 of the present invention will be described. However, only the contents different from Embodiment 1 will be described, and the description of the contents identical to Embodiment 1 will be omitted.

[0184] The difference between the second embodiment and the first embodiment is that the control unit 104 causes the storage unit 105 to store the classification items specified by the item specifying operation. Figures 1 to 16As described above, the input unit 103 accepts item designation operations on each screen GA1, GA3 to GA11. The control unit 104 stores the classification item designated by the item designation operation in the storage unit 105. As a result, the storage unit 105 also stores designation information indicating the classification item designated by the item designation operation.

[0185] In this embodiment, the control unit 104 causes the display unit 102 to display the next candidate for the designable classification item based on the designation information stored in the storage unit 105. The factor analysis support device 100 of this embodiment will be described below using an example in which the designation information indicates "process," "production line," "inspection item," and "time transition."

[0186] Figure 17 This figure shows the display unit 102 displaying a screen GA21 including a graph GR21. Screen GA21 is an example of a "first screen." When the person in charge of factor analysis operates the input unit 103 of the factor analysis support device 100 to instruct the display of the graph GR, the control unit 104 causes the display unit 102 to display the screen GA21 including the graph GR21. Figure 17 The graph GR21 shown is a Pareto chart showing the number of defects that occurred by model. Figure 17 Graph GR21 illustrates the number of defects that occurred during the manufacturing process of model A, the number of defects that occurred during the manufacturing process of model B, and the number of defects that occurred during the manufacturing process of model C.

[0187] The control unit 104 displays the first classification item candidate on the screen GA21 based on the designation information stored in the storage unit 105. Specifically, in response to the category designation operation being performed on the screen GA21, the control unit 104 displays the first classification item candidate on the screen GA21 based on the reference information. Figure 4 The hierarchy of the description and the designated information stored in the storage unit 105 determine at least one of the plurality of classification items as a first classification item candidate, and display the small window SW showing the first classification item candidate on the display unit 102. Figure 5 Similarly to the screen GA1 shown, the control unit 104 displays the classification item “process” and the classification item “time transition” as first classification item candidates on the screen GA21.

[0188] Figure 18 1 is a diagram showing the display unit 102 displaying a screen GA22 including a graph GR22. The screen GA22 is an example of a "second screen". Figure 17 When “process” is designated by the item designation operation while the screen GA21 is displayed, the control unit 104 causes the display unit 102 to display a screen GA22 including a graph GR22. Figure 18The graph GR22 shown is a Pareto chart showing the number of defects that occurred during the manufacturing process of a specified model for each process step. Figure 18 Chart GR22 illustrates the number of defects occurring in process A included in the manufacturing process of model A, the number of defects occurring in process B included in the manufacturing process of model A, and the number of defects occurring in process C included in the manufacturing process of model A.

[0189] The control unit 104 displays the second classification item candidate on the screen GA22 based on the designation information stored in the storage unit 105. Specifically, in response to the category designation operation being performed on the screen GA22, the control unit 104 displays the second classification item candidate based on the reference information. Figure 4 Based on the hierarchy of descriptions and the designated information stored in storage unit 105, at least one of the multiple classification items is determined as a second classification item candidate, and a small window SW showing the second classification item candidate is displayed on display unit 102. Here, control unit 104 displays the classification items "Production Line," "Inspection Item," and "Time Lapse" on screen GA21.

[0190] Figure 19 1 is a diagram showing the display unit 102 that displays the screen GA23 including the graph GR23. Figure 18 When “production line” is designated by the item designation operation while the screen GA22 is displayed, the control unit 104 causes the display unit 102 to display a screen GA23 including a graph GR23. Figure 19 The graph GR23 shown is a Pareto chart showing the number of defects occurring in a specified process included in the manufacturing process of a specified model for each production line. Figure 19 Graph GR23 illustrates the number of defects occurring in process A performed on production line A, the number of defects occurring in process A performed on production line B, and the number of defects occurring in process A performed on production line C.

[0191] The control unit 104 displays the next candidate for the category item that can be designated on the screen GA23 based on the designated information stored in the storage unit 105. Specifically, in response to the category designation operation on the screen GA23, the control unit 104 displays the candidate for the next designated category item based on the reference information. Figure 4 The display unit 102 displays a small window SW showing candidates for the next designable classification item based on the described hierarchy and the designation information stored in the storage unit 105. Here, the control unit 104 displays the classification item "process" and the classification item "time transition" on the screen GA23.

[0192] Figure 201 is a diagram showing the display unit 102 that displays the screen GA24 including the graph GR24. Figure 19 When “process” is designated by the item designation operation while the screen GA23 is displayed, the control unit 104 causes the display unit 102 to display a screen GA24 including a graph GR24. Figure 20 The diagram GR24 shown is the same as Figure 18 The graph GR22 shown is the same, so its description is omitted.

[0193] The control unit 104 displays the next candidate for the category item that can be designated on the screen GA24 based on the designated information stored in the storage unit 105. Specifically, in response to the category designation operation on the screen GA24, the control unit 104 displays the candidate for the next category item that can be designated based on the reference information. Figure 4 The display unit 102 displays a small window SW showing candidates for the next selectable classification item based on the hierarchy and the designated information stored in the storage unit 105. Here, the control unit 104 displays the classification items "Production Line," "Inspection Item," and "Time Lapse" on the screen GA24.

[0194] Above, refer to Figures 1 to 20 The second embodiment of the present disclosure is described. According to this embodiment, the storage unit 105 further stores designation information showing the classification item designated by the item designation operation. Therefore, the designation information can be used to display the next candidate for the classification item that can be designated. Specifically, it is possible to display the next candidate for the classification item that can be designated in accordance with the analysis method of the person in charge of the cause analysis. For example, as shown in FIG. Figures 17 to 20 As described above, when the designated information shows "process", "production line", "inspection item" and "time lapse", it is possible to Figure 4 Among the classification items included in the third layer, "Production Line" and "Inspection Item" are displayed on the display unit 102 as candidates for the next classification item that can be specified. This allows those responsible for factor analysis to more easily perform factor analysis on the matter. This further improves the convenience for users of the factor analysis support device 100.

[0195] [Implementation Method 3]

[0196] Next, refer to Figures 1 to 16 as well as Figures 21 to 24 Embodiment 3 of the present invention will be described. However, only the contents different from those in Embodiments 1 and 2 will be described, and the description of the contents identical to those in Embodiments 1 and 2 will be omitted.

[0197] The difference between the third embodiment and the first and second embodiments is that the control unit 104 causes the storage unit 105 to store the designated order of the classification items. Figures 1 to 16As described above, the input unit 103 receives item designation operations on each screen GA1, GA3 to GA11. The control unit 104 causes the storage unit 105 to store a history of classification items designated by the item designation operations. As a result, the storage unit 105 also stores sequence information indicating the order in which the multiple classification items were designated.

[0198] In this embodiment, the control unit 104 causes the display unit 102 to display the next candidate classification item that can be specified based on the sequence information stored in the storage unit 105. The following describes the factor analysis support device 100 of this embodiment, using as an example a case where the sequence information indicates that classification items have been specified in the order of "process," "line," "process," "inspection item," and "time lapse."

[0199] Figure 21 This figure shows the display unit 102 displaying a screen GA25 including a graph GR25. Screen GA25 is an example of a "first screen." When the person in charge of factor analysis operates the input unit 103 of the factor analysis support device 100 to instruct the display of the graph GR, the control unit 104 causes the display unit 102 to display the screen GA25 including the graph GR25. Figure 21 The diagram GR25 shown is Figure 17 The graph GR21 shown is the same, so its description is omitted.

[0200] The control unit 104 displays the first classification item candidate on the screen GA25 based on the sequence information stored in the storage unit 105. Specifically, in response to the category designation operation being performed on the screen GA25, the control unit 104 determines the first classification item candidate based on the sequence information and displays the small window SW showing the first classification item candidate on the display unit 102. Figure 5 Similarly to the screen GA1 shown, the classification item “process” and the classification item “time transition” are displayed on the screen GA25 as first classification item candidates.

[0201] Figure 22 1 is a diagram showing the display unit 102 displaying a screen GA26 including a graph GR26. The screen GA26 is an example of a "second screen". Figure 21 When “process” is designated by the item designation operation while the screen GA25 shown is displayed, the control unit 104 causes the display unit 102 to display a screen GA26 including a graph GR26. Figure 22 The diagram GR26 shown is Figure 18 The graph GR22 shown is the same, so its description is omitted.

[0202] The control unit 104 displays the second classification item candidates on the screen GA26 based on the sequence information stored in the storage unit 105. Specifically, in response to a category designation operation being performed on the screen GA26, the control unit 104 determines the second classification item candidates based on the sequence information and causes the display unit 102 to display a small window SW showing the second classification item candidates. Here, the control unit 104 displays the classification items "Production Line" and "Time Lapse" on the screen GA26.

[0203] Figure 23 1 is a diagram showing the display unit 102 displaying the screen GA27 including the graph GR27. Figure 22 When “production line” is designated by the item designation operation while the screen GA26 is displayed, the control unit 104 causes the display unit 102 to display a screen GA27 including a graph GR27. Figure 23 The diagram GR27 shown is Figure 19 The graph GR23 shown is the same, so its description is omitted.

[0204] The control unit 104 displays the next candidate classification item that can be specified on screen GA27 based on the sequence information stored in the storage unit 105. Specifically, in response to a category designation operation being performed on screen GA27, the control unit 104 causes the display unit 102 to display a small window SW showing the next candidate classification item that can be specified. Here, the control unit 104 displays the classification items "Process" and "Time Passage" on screen GA21.

[0205] Figure 24 1 is a diagram showing the display unit 102 displaying the screen GA28 including the graph GR28. Figure 23 When “process” is designated by the item designation operation while the screen GA27 is displayed, the control unit 104 causes the display unit 102 to display a screen GA28 including a graph GR28. Figure 24 The diagram GR28 shown is Figure 18 The graph GR22 shown is the same, so its description is omitted.

[0206] The control unit 104 displays the next candidate for the specified classification item on screen GA28 based on the sequence information stored in the storage unit 105. Specifically, in response to a category designation operation being performed on screen GA28, the control unit 104 causes the display unit 102 to display a small window SW showing the next candidate for the specified classification item. Here, the control unit 104 displays the classification items "Inspection Item" and "Time Lapse" on screen GA21.

[0207] Reference above Figures 1 to 16 and Figures 21 to 24Embodiment 3 of the present invention is described. According to this embodiment, the storage unit 105 further stores sequence information showing the order of designation of a plurality of classification items. Therefore, the sequence information can be used to display the next candidate for the classification item that can be designated. Specifically, it is possible to display the next candidate for the classification item that can be designated in accordance with the analysis method of the person in charge of the cause analysis. For example, as shown in FIG. Figures 21 to 24 As described above, if the sequence information indicates that classification items have been specified in the order of "process," "line," "process," "inspection item," and "time lapse," candidates for the next selectable classification item can be displayed in the order of "process," "line," "process," and "inspection item." This makes it easier for those responsible for factor analysis to conduct factor analysis of events. This further improves user convenience for the factor analysis support device 100.

[0208] [Implementation 4]

[0209] Next, refer to Figures 1 to 16 as well as Figure 25 Embodiment 4 of the present invention will be described. However, the contents different from Embodiments 1 to 3 will be described, and the description of the same contents as Embodiments 1 to 3 will be omitted.

[0210] The fourth embodiment differs from the first to third embodiments in that the input unit 103 of the factor analysis support device 100 receives an operation for designating a candidate exclusion item. The candidate exclusion item indicates a classification item to be excluded from the candidates for the next designatable classification item among the plurality of classification items.

[0211] Figure 25 1 is a diagram showing the display unit 102 displaying the exclusion item registration screen GA30. Figure 25 As shown, the display unit 102 displays the exclusion item registration screen GA30. For example, when the input unit 103 receives an operation by the person in charge of the factor analysis, the control unit 104 may cause the display unit 102 to display the exclusion item registration screen GA30.

[0212] The exclusion item registration screen GA30 is a screen for registering candidate exclusion items. Figure 4 Registration of candidate exclusion items is accepted for the classification items included in the third to fifth levels shown.

[0213] In this embodiment, the exclusion item registration screen GA30 displays an exclusion item registration table TA and a save button BT. The exclusion item registration table TA includes a classification item name column CL1 and a display permission information registration column CL2.

[0214] The classification item name column CL1 shows the name of the classification item to be the candidate exclusion item. Figure 4 The names of the classification items included in the third to fifth layers are shown. Specifically, the classification item name column CL1 displays the text image of "production line", the text image of "inspection item", the text image of "inspection jig", the text image of "operator", the text image of "supplementary information", the text image of "factory", and the text image of "base".

[0215] The display permission information registration field CL2 accepts a designation of a classification item to be excluded from the candidate list of the next selectable classification item. In the display permission information registration field CL2, "Permit" indicates that the item is permitted to be displayed on the display unit 102 as the next selectable classification item. In other words, "Permit" indicates that the item is not excluded from the candidate list of the next selectable classification item. "Not Permit" indicates that the item is not permitted to be displayed on the display unit 102 as the next selectable classification item. In other words, "Not Permit" indicates that the item is excluded from the candidate list of the next selectable classification item.

[0216] The input unit 103 receives an input of "Allow" or "Disallow" in the display permission information registration field CL2. For example, the control unit 104 may display a drop-down menu in the display permission information registration field CL2 for selecting "Allow" or "Disallow." The drop-down menu is displayed for each classification item in the classification item name field CL1. In this case, the input unit 103 receives an input of "Allow" or "Disallow" from the drop-down menu. Alternatively, the control unit 104 may display a checkbox or radio button in the display permission information registration field CL2.

[0217] The save button BT is a soft key for saving the content entered into the display permission information registration field CL2. The input unit 103 receives an operation to press the save button BT. When the save button BT is pressed, the control unit 104 determines the content entered into the display permission information registration field CL2 and stores it in the storage unit 105. As a result, the candidate exclusion item is registered.

[0218] For example, Figure 25It is indicated that "inspection jig," "operator," "supplementary information," "factory," and "location" are designated as candidate exclusion items among "line," "inspection item," "inspection jig," "operator," "supplementary information," "factory," and "location." In this case, the control unit 104 displays only "line" and "inspection item" among "line," "inspection item," "operator," "supplementary information," "factory," and "location" as candidates for the next selectable classification item on the display unit 102. Therefore, it is possible to specify only "process," "time lapse," "line," and "inspection item" through the item designation operation. Therefore, when combining Embodiment 3 and Embodiment 4, the designation order described in Embodiment 3 may be, for example, "process, inspection item, process, line, time lapse," "process, inspection item, line, time lapse," or "process, line, process, inspection item, time lapse."

[0219] Reference above Figures 1 to 16 and Figure 25 Embodiment 4 of the present invention has been described. According to this embodiment, the person in charge of factor analysis can select the next candidate for a designated classification item. Therefore, the person in charge of factor analysis can customize the screen GA displayed on the display unit 102 to suit their preferences. This further improves the convenience for users of the factor analysis support device 100.

[0220] In addition, in this embodiment, the control unit 104 causes the display unit 102 to display Figure 4 The exclusion item registration screen GA30 accepts the designation of candidate exclusion items among the classification items included in the third to fifth layers shown, but the exclusion item registration screen GA30 is not limited to Figure 25 For example, the control unit 104 may cause the display unit 102 to sequentially display a plurality of exclusion item registration screens GA30. In this case, the control unit 104 may cause the display unit 102 to sequentially display the exclusion item registration screens GA30. Figure 5 、 Figures 7 to 14 The plurality of exclusion item registration screens GA30 of the classification items displayed in each small window SW are shown.

[0221] Above, with reference to the accompanying drawings ( Figures 1 to 25) have been described in detail with reference to the accompanying drawings. However, the present invention is not limited to the above-mentioned embodiments. The present invention can be implemented in various ways without departing from the scope of the present invention. In addition, the multiple components disclosed in the above-mentioned embodiments can be appropriately changed. For example, one component of all the components shown in one embodiment can be added to the components of another embodiment, or several components of all the components shown in one embodiment can be deleted from the embodiment.

[0222] To facilitate understanding, the drawings schematically illustrate the various components. The thickness, length, number, spacing, etc. of the components shown in the drawings are based on the drawings and may differ from the actual configuration. Furthermore, the configurations of the components shown in the above embodiments are merely examples and are not particularly limited. The configurations of the components shown in the above embodiments may be modified in various ways without departing from the effects of the present invention.

[0223] For example, in reference Figures 1 to 25 In the embodiment described above, the storage unit 105 stores the information indicating the inspection results and the plurality of classification item information in a hierarchical manner. However, the storage unit 105 does not need to store the information indicating the inspection results and the plurality of classification item information in a hierarchical manner. The storage unit 105 only needs to store the information indicating the inspection results in association with the plurality of classification item information.

[0224] In addition, in reference Figures 1 to 25 In the described embodiment, the control unit 104 causes the display unit 102 to display a Pareto chart. However, the control unit 104 may cause the display unit 102 to display a pie chart, for example.

[0225] The present invention is useful in the field of analyzing factors of events.

[0226] Description of labels

[0227] 100: Factor Analysis Assistance Device

[0228] 102: Display unit

[0229] 103: Input unit (receiving unit)

[0230] 104: Control Department

[0231] 105: Storage

[0232] GA, GA1~GA11, GA21~GA28: Screen

[0233] GR, GR1~GR11, GR21~GR28: chart.

Claims

1. A factor analysis assisting device for assisting in factor analysis of an event, characterized in that: have: a storage unit that hierarchizes information indicating a confirmation result of the matter and a plurality of classification item information and stores them in association with each other; a control unit configured to generate a first graph indicating information related to the matter based on the information indicating the confirmation result and the plurality of classification item information; a display unit configured to display a first screen including the first chart as a screen including a chart; as well as a processing unit that processes a designation operation for designating any one of the plurality of classification items, The plurality of classification item information respectively represent classification categories, The processing unit processes the designated operation in the first screen, The control unit generates a second chart based on the information indicating the confirmation result and the plurality of classification item information, the second chart indicating information related to the matter for each classification category of the first classification item, which is the classification item specified on the first screen; The display unit displays a second screen including the second graph as a screen including the graph, The information indicating the confirmation result and the plurality of classification item information included in the second screen are arranged in a layer immediately below the information indicating the confirmation result and the plurality of classification item information included in the first screen.

2. The factor analysis support device according to claim 1, wherein: The processing unit further processes the designated operation in the second screen, The control unit generates a third chart based on the information indicating the confirmation result and the plurality of classification item information, the third chart indicating information related to the matter for each classification category of the second classification item, which is the classification item specified on the second screen; The display unit displays a third screen including the third graph as a screen including the graph.

3. The factor analysis support device according to claim 1 or 2, wherein: The control unit displays at least one of the plurality of classification items on the first screen as a first classification item candidate, The processing unit processes an operation of designating any one of the first classification item candidates.

4. The factor analysis support device according to claim 2, wherein: The control unit displays at least one of the plurality of classification items on the first screen as a first classification item candidate, The processing unit processes an operation of designating any one of the first classification item candidates, The control unit displays at least one of the plurality of classification items on the second screen as a second classification item candidate. The processing unit processes an operation of designating any one of the second classification item candidates.

5. The factor analysis support device according to claim 1 or 2, wherein: The storage unit further stores designation information indicating the classification item designated by the designation operation.

6. The factor analysis support device according to claim 3 or 4, wherein: The storage unit further stores designation information indicating the classification item designated by the designation operation. The control unit causes the first classification item to be displayed as a supplement on the first screen based on the designation information.

7. The factor analysis support device according to claim 4, wherein: The storage unit further stores designation information indicating the classification item designated by the designation operation. The control unit displays the first classification item as a supplementary display on the first screen based on the designation information, and displays the second classification item as a supplementary display on the second screen based on the designation information.

8. The factor analysis support device according to claim 2 or 4, wherein: The storage unit further stores sequence information indicating a specified order of the plurality of classification items.

9. The factor analysis support device according to claim 4, wherein: The storage unit further stores sequence information indicating a specified order of the plurality of classification items. The control unit displays the first classification item as a supplementary display on the first screen based on the order information, and displays the second classification item as a supplementary display on the second screen based on the order information.

10. The factor analysis support device according to claim 1 or 2, wherein: The chart includes a Pareto chart.

11. The factor analysis support device according to claim 1 or 2, wherein: The storage unit stores information indicating the confirmation result in association with the time when the matter was confirmed. The graph includes a line graph showing the passage of time of the confirmation result.

12. A method for assisting factor analysis, the method assisting factor analysis of an event, characterized in that: have: a step of layering information indicating a confirmation result of the matter and a plurality of classification item information; a step of generating a first graph representing information related to the matter based on the stratified information representing the confirmation result and the plurality of classification item information; a step of displaying a first screen including the first chart as a screen including a chart; a step of processing a designation operation of designating any one of a plurality of classification items on the first screen; a step of generating a second chart based on the information indicating the confirmation result and the plurality of classification item information arranged in a hierarchy immediately below the first screen, the second chart indicating information related to the matter for each classification category of the classification item specified on the first screen; as well as a step of displaying a second screen including the second graph as a screen including the graph, The plurality of classification item information respectively indicate classification categories.

13. A factor analysis assisting program product recorded in a recording medium, the factor analysis assisting program product being executed by a computer. It is characterized in that According to the factor analysis supporting method according to claim 12, the computer is caused to execute calculations.

14. A recording medium, which is a non-transitory computer-readable recording medium having recorded thereon a factor analysis support program for causing a computer to execute, characterized in that: The factor analysis supporting program causes the computer to execute calculations according to the factor analysis supporting method according to claim 12 .

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