Improvement Information Management System

Abstract

To provide an improvement information management system capable of effectively utilizing a database storing improvement information data and considering countermeasures against new problems.SOLUTION: An improvement information management system 1 comprises: a database 11 which stores, as improvement information data, problem data in association with improvement countermeasure data against problems and execution result data of countermeasures; an input device 21 which is configured to be able to input new improvement information data, and registers the inputted new improvement information data into the database 11; a related data extraction device 12 which determines a relation between the new improvement information data and the improvement information data stored in the database 11, for extracting data having a relation to the new improvement information data from the improvement information data; and a teaching device 22 which teaches the data extracted by the relation data extraction device 12 when the new improvement information data is inputted by the input device 21.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an improvement information management system. [Background technology]

[0002] Patent Document 1 describes a system for efficiently dealing with business problems that have arisen. In this system, when a proposer inputs problem information, multiple designated members can input opinions regarding measures to address the problem information, and the opinions can be viewed by multiple members. This allows multiple members to exchange opinions about a certain problem information, making it easy to resolve the problem.

[0003] Furthermore, Patent Document 2 describes a system in which problem data and countermeasure data for the problems are stored in a database, and a person other than the proposer evaluates the proposer's ability to improve based on access information to the data stored in the database. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2019-197429 [Patent Document 2] Japanese Patent Application Publication No. 2019-101835 Summary of the Invention [Problem to be solved by the invention]

[0005] By utilizing the improvement information data accumulated in the database, when a new problem occurs, it is possible to consider countermeasures for the new problem by referring to past countermeasures for related problems and the success or failure of those countermeasures. Therefore, it is effective to store the improvement information data entered by improvement proposers in a database and make the database available for multiple people to view, as in the past.

[0006] Even if the database is made viewable, it is not easy to determine which improvement information data is relevant. For example, a user can enter a search keyword and perform a keyword search of the improvement information data in the database to find data that is relevant to the search keyword.

[0007] However, when improvement proposers input improvement information data, there are many different text expressions, and even for similar content, there are many different expressions. Therefore, selecting search keywords is not easy, and it is not easy to extract appropriate improvement information data from the database when users input search keywords themselves. Therefore, it cannot be said that the improvement information data in the database is being fully utilized when users input search keywords themselves. Furthermore, in an environment where the database is used only when users input search keywords of their own volition, it cannot be said that the database is being fully utilized.

[0008] The present invention has been made in consideration of such problems, and aims to provide an improvement information management system that can effectively utilize a database that stores improvement information data, and that can consider measures to deal with new problems by referring to measures to deal with past problems in the database. [Means for solving the problem]

[0009] One aspect of the present invention is a database that stores problem data, improvement measure data for the problem, and execution result data of the measure in association with each other as improvement information data; an input device configured to be able to input new improvement information data, which is at least one of the problem data, the improvement measure data, and the execution result data, and which registers the input new improvement information data in the database; a related data extraction device that determines a relationship between the new improvement information data input by the input device and the improvement information data stored in the database, and extracts data that is related to the new improvement information data from the improvement information data; a teaching device that teaches the data extracted by the related data extraction device when the new improvement information data is input by the input device; Equipped with 、 the input device is configured to be able to additionally input the execution result data to the unexecuted data when the database stores unexecuted data that includes the problem data or the improvement measure data but does not include the execution result data, and additionally registers the additionally input execution result data in the database; When the teaching device has taught the unexecuted data, it associates teaching target information with the unexecuted data and registers the information in the database; moreover, a notification device that notifies a target person of the instruction target information of the additionally registered information when the execution result data is additionally registered by the input device; This is in the improvement information management system. Another aspect of the present invention is a database that stores problem data, improvement measure data for the problem, and execution result data of the measure in association with each other as improvement information data; an input device configured to be able to input new improvement information data, which is at least one of the problem data, the improvement measure data, and the execution result data, and which registers the input new improvement information data in the database; a related data extraction device that determines a relationship between the new improvement information data input by the input device and the improvement information data stored in the database, and extracts data that is related to the new improvement information data from the improvement information data; a teaching device that teaches the data extracted by the related data extraction device when the new improvement information data is input by the input device; Equipped with the database stores classification keywords indicating classifications to which the problem data, the improvement measure data, and the execution result data belong in association with the problem data, the improvement measure data, and the execution result data; The classification keyword includes a classification that indicates a relationship between a higher rank and a lower rank, or a classification that indicates a relationship between a whole and a part, the input device is configured to select two or more of the classification keywords when inputting the new improvement information data; The related data extraction device is in an improvement information management system that determines that two or more classification keywords selected by the input device are related to the new improvement information data when they match the classification keywords stored in the database in terms of higher and lower classifications, or in terms of overall and partial classifications. [Effects of the Invention]

[0010] According to the improvement information management system, the database stores problem data, improvement countermeasure data for the problem, and execution result data of the countermeasure in association with each other as improvement information data, so that the improvement information data can be made available to multiple people.

[0011] Furthermore, in the improvement information management system, when an improvement proposer inputs new improvement information data using an input device, data related to the new improvement information data from among the improvement information data stored in the database is provided to the improvement proposer. In other words, past improvement information data is provided as reference information at the time the improvement proposer inputs improvement information data.

[0012] Therefore, the database can be utilized without the user having to take the trouble to access the database. For example, by assigning the task of inputting improvement information data to a person in charge of operations, the frequency with which the database can be utilized can be increased. As a result, the database can be utilized more effectively.

[0013] Furthermore, when inputting improvement information data, the person proposing the improvement can view related past data. Therefore, the person proposing the improvement can refer to measures for new problems at a time that is effective for the person proposing the improvement. In this way, past data is provided at a time that is effective for the person proposing the improvement, so that effective measures for the problem can be implemented.

[0014] Furthermore, the extraction of related data is performed by a related data extraction device. The related data extraction device then determines the relationship between the new improvement information data input by the improvement proposer via the input device and the improvement information data stored in the database. In this way, since the relationship is determined using the input new improvement information data, the user does not need to consider search keywords just for the purpose of searching. This makes it easier to use the database.

[0015] As described above, according to the above aspect, it is possible to provide an improvement information management system that can effectively utilize a database that stores improvement information data and can consider measures to deal with new problems by referring to measures to deal with past problems in the database. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a diagram showing the overall configuration of an improvement information management system according to a first embodiment. [Figure 2] FIG. 1 is a diagram showing a functional block configuration of an improvement information management system according to a first embodiment. [Figure 3] FIG. 1 is a diagram illustrating a database. [Figure 4]FIG. 2 is a diagram illustrating a screen of an input device. [Figure 5] 10 is a flowchart showing a process performed by the related data extraction device. [Figure 6] FIG. 10 is a diagram showing a screen of the teaching device, illustrating abstract information among teaching information. [Figure 7] FIG. 10 is a diagram showing a screen of the teaching device, illustrating detailed information of teaching information. [Figure 8] 10 is a flowchart showing a process performed by the notification device. [Figure 9] 10 is a flowchart showing the processing performed by a related data extraction device that constitutes the improvement information management system of the second embodiment. [Figure 10] 11 is a flowchart showing the processing performed by a related data extraction device that constitutes the improvement information management system of the third embodiment. [Figure 11] FIG. 10 is a diagram showing the overall configuration of an improvement information management system according to a fourth embodiment. [Figure 12] FIG. 10 is a diagram showing a functional block configuration of an improvement information management system according to a fourth embodiment. [Figure 13] FIG. 10 is a diagram showing an example of a display screen of smart glasses as a wearable device of embodiment 4. DETAILED DESCRIPTION OF THE INVENTION

[0017] (Embodiment 1) 1. Structure of Improvement Information Management System 1 The configuration of the improvement information management system 1 will be described with reference to Fig. 1. The improvement information management system 1 is a system for storing improvement information data when people carry out improvement activities, for example, and for utilizing the improvement information data in a wide range of ways. The scope of utilization can be limited to people who belong to a specific organization, or can be expanded to people who belong to other organizations.

[0018] Furthermore, improvement activities are activities that identify problems, plan countermeasures for the problems, and then implement the planned countermeasures. However, performing a series of actions is not an improvement activity; even a part of a series of actions is an improvement activity. In other words, performing a series of actions, only identifying a problem, only planning countermeasures, only implementing countermeasures, identifying a problem and planning countermeasures, or planning countermeasures and implementing countermeasures are all improvement activities.

[0019] The improvement information management system 1 includes a server device 2 and a proposer terminal 3 used by improvement proposers. The server device 2 and the proposer terminal 3 form a network and are configured to be able to communicate with each other. The proposer terminal 3 includes proposer terminals 3a, 3b, and 3c for each target proposer. The proposer terminals 3a, 3b, and 3c can be various computers, such as mobile terminals such as tablets and laptops, or desktop terminals.

[0020] The improvement information management system 1 may be configured as a WAN such as the wide-area Internet, or may be configured as a LAN with a limited range. The network configuration of the improvement information management system 1 can be selected appropriately depending on the target organization, location, etc.

[0021] 2. Configuration of each element of the improvement information management system 1 Next, the configuration of each element of the improvement information management system 1 will be described with reference to Fig. 2. As shown in Fig. 2, the server device 2 includes a processing unit, a storage device, an interface, etc. The server device 2 includes a database 11, a related data extraction device 12, and a notification device 13. The elements 11, 12, and 13 that make up the server device 2 function using the processing unit, storage device, and interface. The proposer terminal 3 includes a processing unit, a storage device, and an interface, and further includes an input device 21 and a teaching device 22.

[0022] The database 11 of the server device 2 stores at least problem data, improvement measure data for the problem, and implementation result data of the measure in association with each other as improvement information data. The related data extraction device 12 determines the relationship between new improvement information data input by the input device 21 of the proposer terminal 3 and the improvement information data stored in the database 11, and extracts data related to the new improvement information data from the improvement information data. When implementation result data is additionally registered by the input device 21, the notification device 13 of the server device 2 notifies a predetermined target person of the additionally registered information.

[0023] The input device 21 of the proposer terminal 3 is configured to be able to input new improvement information data, which is at least one of problem data, improvement measure data, and execution result data, and registers the input new improvement information data in the database 11. When new improvement information data is input by the input device 21, the teaching device 22 teaches the data extracted by the related data extraction device 12.

[0024] 3. Detailed configuration of each element of the improvement information management system 1 Next, the detailed configuration of each element of the improvement information management system 1 will be described with reference to Figs. 3 to 8. The data stored in the database 11 will be described with reference to Fig. 3. The database 11 stores at least problem data, improvement measure data for the problem, and execution result data of the measure in association with each other as improvement information data. The data is not limited to data in which all of the problem data, improvement measure data, and execution result data are stored in association with each other, and there is also data in which only some of the data are stored. For example, there is data in which only the problem data and improvement measure data are stored. Furthermore, the problem data, improvement measure data, and execution result data include at least text data, and can also include image data. Text data is generally expressed in sentences.

[0025] Furthermore, the database 11 stores a title as a heading of the improvement information data in association with the improvement information data. Since the title is a heading, it is text data of a predetermined number of characters or less.

[0026] The database 11 also stores the date the improvement information data was input and the name of the person who proposed the improvement, in association with the improvement information data. Furthermore, in this embodiment, the database 11 stores the name of the company to which the improvement proposer belongs, the business content of the company, the name of the department within the company to which the improvement proposer belongs, and the business content of the department, in association with the improvement proposer. The business content column of the department also includes the name of the target product in which the improvement proposer is involved. However, the database 11 can also be configured not to store the company name, the business content of the company, the department name, and the business content of the department. The company name, the business content of the company, the department name, the business content of the department, and the target product name are background information for the improvement information data, and are therefore referred to as background information data.

[0027] Furthermore, the database 11 stores keywords. The database 11 stores the keywords in association with the improvement information data. In this embodiment, the keywords are, for example, classification keywords that indicate the classification to which the improvement information data belongs. The classification keywords include, for example, classifications that indicate a relationship between a higher level and a lower level (is a relationship), or classifications that indicate a relationship between a whole and a part (part of relationship).

[0028] For example, classification keywords for a company that manufactures machine tools can be set as follows: Examples of classification keywords related to workability include major category: "grinder," medium category: "setup work," and minor category: "grinding wheel replacement." Note that "grinder" and "setup work" represent the relationship between the whole and the part. "Setup work" and "grinding wheel replacement" represent the relationship between a higher and a lower level.

[0029] Additionally, examples of classification keywords related to quality include the major category: "grinder," the medium category: "processing accuracy," and the small category: "roundness." Examples of classification keywords related to equipment improvements include the major category: "grinder," the medium category: "touch probe," and the small category: "contact abnormality." Examples of classification keywords related to safety include the major category: "grinder," the medium category: "safety," and the small category: "grinding wheel replacement."

[0030] The input device 21 of the proposer terminal 3 is configured to allow new improvement information data to be input by operation of the person who proposes improvement. The new improvement information data includes at least one of problem data, improvement measure data for the problem, and implementation result data of the measure. In other words, the input device 21 is capable of inputting the following as new improvement information data in addition to inputting all of problem data, improvement measure data, and implementation result data: the input device 21 can also input only problem data, only improvement measure data, implementation result data, problem data and improvement measure data, or improvement measure data and implementation result data as new improvement information data.

[0031] When new improvement information data is input, the input device 21 registers the input new improvement information data in the database 11. Specifically, when new improvement information data is input and a registration operation is accepted, the input device 21 registers the new improvement information data in the database 11 by transmitting the new improvement information data to the database 11.

[0032] The input of data including new improvement information data into the input device 21 will be described with reference to Fig. 4. As shown in Fig. 4, the person who proposes an improvement displays an input screen that constitutes the input device 21 of the proposer terminal 3. The input device 21 is configured to allow the input of the input date, the name of the proposer, background information data, title, and keywords in addition to the problem data, improvement measure data, and execution result data as new improvement information data.

[0033] The person who proposes the improvement inputs the date on which new improvement information data will be input. The person who proposes the improvement inputs inputs their own name in the proposer field. However, the input date field and proposer field can also be set to be input automatically by operation. Here, the input device 21 sets the input date field and proposer field as required input items when inputting new improvement information data.

[0034] Furthermore, the person proposing the improvement also inputs background information data as necessary. That is, the person proposing the improvement inputs the company name, the company's business operations, the name of the department within the company, the business operations of the department, the target product name, etc. However, the background information data can also be registered in advance in association with the person proposing the improvement.

[0035] The person who proposes the improvement then inputs the title of the improvement information data into the title field. The title field has a set maximum number of characters that can be input. The input device 21 sets the title field as a required input item when inputting new improvement information data.

[0036] The improvement proposer also inputs problem data into the problem column, inputs improvement countermeasure data into the countermeasure column, and inputs execution result data into the execution result column. The execution result data includes either success information or failure information for the execution result. Specifically, in the execution result column, the improvement proposer checks the radio button in the "Success" column, which represents success information, if the execution result is successful, and checks the radio button in the "Failure" column, which represents failure information, if the execution result is failure. The improvement proposer can select only one of the radio buttons in the "Success" column or the "Failure" column.

[0037] Here, the input device 21 sets one of the problem column, the countermeasure column, and the execution result column as a required input item when inputting new improvement information data. Therefore, in the problem column, the countermeasure column, and the execution result column, only the problem column may be input, and the countermeasure column and the execution result column may be left blank. The same applies to the others.

[0038] Furthermore, the person proposing the improvement inputs keywords. In this embodiment, the person proposing the improvement inputs classification keywords. In FIG. 4, three keywords can be input. However, it is also possible to input four or more keywords. The input device 21 sets at least two or more classification keywords as required input items when inputting new improvement information data.

[0039] In this embodiment, the keyword field is configured to allow selection of the classification keywords of the major, middle, and minor categories described above. The input device 21 is configured, for example, to allow selection of one from preset options in each input field of the keyword field. Note that two or more of the above classifications may be selectable. For example, only the major and middle categories, only the major and minor categories, or only the middle and minor categories may be selectable. Furthermore, the keyword field may allow free text input.

[0040] Furthermore, in the keyword field, a check box is provided in each input field for the classification keyword. A classification keyword with a checked (selected) check box is used as the classification keyword for data extraction by the related data extraction device 12 of the server device 2. On the other hand, a classification keyword with an unchecked (unselected) check box is not used for data extraction by the related data extraction device 12.

[0041] In this way, the input device 21 is configured to select two or more classification keywords for registration in the database 11 when inputting new improvement information data. Furthermore, the input device 21 is configured to allow selection of some or all of the classification keywords for data extraction by the related data extraction device 12 from the classification keywords for registration. The input device 21 sets two or more classification keywords as keywords for data extraction as required input items when inputting new improvement information data. In other words, the person who proposes the improvement needs to check two or more check boxes.

[0042] Furthermore, on the input screen of the input device 21, check boxes are provided in the fields of the company name, the business content of the company, the name of the department within the company, and the business content of the department as the background information data described above. The background information data with the check boxes checked (selected) is used as background information data for data extraction by the related data extraction device 12 of the server device 2. On the other hand, the background information data with the check boxes unchecked (unselected) is not used for data extraction by the related data extraction device 12.

[0043] When the person proposing the improvement has finished entering all the required information on the input screen that constitutes the input device 21, he or she operates the "Register" button at the bottom of the input screen. As a result, all the entered data is registered in the database 11.

[0044] As described above, on the input screen of the input device 21, any one of the problem column, the countermeasure column, and the execution result column is set as a required input item. Therefore, at the time of initial registration, for example, only the problem column and the countermeasure column may be filled in, and the execution result column may not be filled in. In this case, the database 11 stores unexecuted data that includes problem data and improvement countermeasure data but does not include execution result data.

[0045] When unexecuted data is stored in the database 11, the input device 21 is configured to allow additional input of execution result data into the execution result field on the input screen that called up the unexecuted data. After additional input into the execution result field, when the "Register" button is operated, the input device 21 additionally registers the additionally input execution result data in the database 11. Note that additional input is also possible in the same way for other unentered fields.

[0046] The related data extraction device 12 of the server device 2 determines the relevance between the new improvement information data input by the input device 21 of the proposer terminal 3 and the improvement information data stored in the database 11. Specifically, when the "Register" button on the input screen of the input device 21 is operated, the related data extraction device 12 determines the relevance between the new improvement information data and the stored improvement information data.

[0047] The data extraction process by the related data extraction device 12 will be described with reference to Fig. 5. The related data extraction device 12 acquires two or more classification keywords for data extraction selected by the input device 21 (S1). That is, the related data extraction device 12 acquires two or more classification keywords whose checkboxes in the keyword field are checked on the input screen of the input device 21 as classification keywords for data extraction.

[0048] Next, the related data extraction device 12 acquires background information data input by the input device 21 (S2). That is, the related data extraction device 12 acquires, as background information data, the company name, the business content of the company, the name of the department within the company, the business content of the department, the target product name, etc., on the input screen of the input device 21. However, the related data extraction device 12 acquires, as background information data for data extraction, background information data for which a check box has been checked on the input screen of the input device 21.

[0049] Next, the related data extraction device 12 extracts data related to the new improvement information data from the improvement information data stored in the database 11 (S3). Specifically, the related data extraction device 12 determines the relevance to the new improvement information data based on the degree of match between two or more classification keywords for data extraction selected by the input device 21 and the classification keywords stored in the database 11.

[0050] For example, the related data extraction device 12 determines that two or more classification keywords for data extraction selected by the input device 21 are related to new improvement information data when they match a higher classification and a lower classification, or when they match a whole classification and a partial classification.The related data extraction device 12 then extracts data determined to be related to new improvement information data from the improvement information data stored in the database 11.

[0051] Furthermore, in this embodiment, when new improvement information data is input via the input device 21, if a check box in the background information data column is checked, the related data extraction device 12 determines whether or not there is a relevance to the new improvement information data based on the degree of match of the background information data in addition to the degree of match of the classification keywords. However, when new improvement information data is input via the input device 21, if none of the check boxes in the background information data column are checked, the related data extraction device 12 does not take the background information data into consideration in data extraction.

[0052] When new improvement information data is input by the input device 21, the teaching device 22 of the proposer terminal 3 teaches the data extracted by the related data extraction device 12. Specifically, when the related data extraction device 12 extracts data, the teaching device 22 receives the extracted data from the related data extraction device 12.

[0053] The teaching screen of the teaching device 22 will be described with reference to Fig. 6 and Fig. 7. As shown in Fig. 6, the teaching screen of the teaching device 22 displays a list of data extracted by the related data extraction device 12 as an excerpt screen. Only a portion of the data stored in the database 11 is displayed on the excerpt screen. Furthermore, when the improvement proposer selects the displayed improvement information data on the teaching device 22, detailed information of the selected improvement information data is displayed as shown in Fig. 7. The improvement proposer can refer to past improvement information data that is related to the improvement information data that he or she inputted.

[0054] When the teaching device 22 teaches unexecuted data, it registers in the database information on the person to be taught, i.e., the improvement proposer to whom the unexecuted data was taught by the teaching device 22, in association with the unexecuted data. The information on the person to be taught is registered in the database 11 in order to perform notification by the notification device 13.

[0055] As described above, unexecuted data may be stored in the database 11. The unexecuted data stored in the database 11 is data that includes problem data or improvement measure data, but does not include execution result data. The input device 21 is configured to allow additional input of execution result data to the unexecuted data, and the additionally input execution result data can be additionally registered in the database 11.

[0056] When unexecuted data is stored in the database 11, the related data extraction device 12 may extract the unexecuted data as data related to new improvement information data. In this case, the teaching device 22 teaches the unexecuted data. When the teaching device 22 teaches the unexecuted data, the teaching target information is registered in the database 11. As shown in FIG. 3, the teaching target information is information in the teaching target column on the far right of the database.

[0057] Next, the processing by the notification device 13 will be described with reference to Fig. 8. The notification device 13 determines whether or not additional registration of execution result data has been made for the unexecuted data (S11). If additional registration of execution result data has not been made (S11: No), the processing ends. On the other hand, if additional registration of execution result data has been made (S11: Yes), the notification device 13 determines whether or not instruction recipient information for the unexecuted data is stored in the database 11 (S12). If instruction recipient information for the unexecuted data is not stored (S12: No), the processing ends.

[0058] On the other hand, if the database 11 stores information about the person to whom the unexecuted data belongs (S12: Year), the notification device 13 notifies the person to whom the data belongs of the execution result data (S13). The person to whom the data belongs can then grasp the execution result data of the improvement information data that the person received the instruction for in the past. The execution result data includes either success information or failure information. Therefore, the person to whom the data belongs can quickly grasp whether the execution result of the referenced measure data was a success or a failure.

[0059] 4.Effects According to the improvement information management system 1 of this embodiment, problem data, improvement measure data for the problem, and implementation result data of the measure are stored in association with each other as improvement information data in the database 11. Therefore, the improvement information data can be made available to multiple people.

[0060] Furthermore, in the improvement information management system 1, when an improvement proposer inputs new improvement information data using the input device 21, data related to the new improvement information data is provided to the improvement proposer from among the improvement information data stored in the database 11. In other words, at the timing when the improvement proposer inputs improvement information data, past improvement information data is provided as reference information.

[0061] Therefore, the database 11 can be utilized without the user having to take the trouble to access the database 11. For example, by assigning the task of inputting improvement information data to a person in charge of operations, the frequency with which the database 11 can be utilized can be increased. As a result, the database 11 can be utilized effectively.

[0062] Furthermore, when inputting improvement information data, the person proposing the improvement can view related past data. Therefore, the person proposing the improvement can refer to measures for new problems at a time that is effective for the person proposing the improvement. In this way, past data is provided at a time that is effective for the person proposing the improvement, so that effective measures for the problem can be implemented.

[0063] Furthermore, extraction of related data is performed by the related data extraction device 12. The related data extraction device 12 then determines the relationship between the new improvement information data input by the improvement proposer via the input device 21 and the improvement information data stored in the database 11. In this way, since the relationship is determined using the input new improvement information data, the user does not need to consider search keywords just for the purpose of searching. This makes it easier to use the database 11.

[0064] Furthermore, when execution result data is additionally registered by the input device 21, the notification device 13 notifies the additionally registered information to the person in the instruction recipient information stored in the database 11. Here, the instruction recipient information is the person to whom the unexecuted data has been instructed by the instruction device. The unexecuted data is data that includes problem data or improvement measure data in the database 11, but does not include execution result data.

[0065] That is, although the instruction recipient who has received a notification from the notification device 13 did not receive execution result data when receiving the instruction in the past, the notification from the notification device 13 allows the recipient to know the execution result data of the improvement information data that he or she has received instruction on in the past. The execution result data includes either success information or failure information. Therefore, the recipient can quickly know whether the execution result of the referenced measure data is a success or a failure.

[0066] Furthermore, the related data extraction device 12 determines whether or not there is a relationship using two or more classification keywords. Therefore, by using two or more classification keywords, it becomes possible to appropriately extract related data compared to when a user freely inputs search keywords. In particular, the input device is configured so that classification keywords are selected from among pre-set keywords. Therefore, it is possible to stabilize the determination of whether or not there is a relationship. Furthermore, by defining classification keywords in terms of a superordinate-subordinate relationship or a whole-part relationship, it is possible to appropriately extract related data.

[0067] Furthermore, the related data extraction device 12 determines whether there is a relationship by using background information data in addition to the classification keywords. By using the background information data, it is possible to more appropriately determine whether there is a relationship.

[0068] (Embodiment 2) The improvement information management system 1 of the second embodiment will be described with reference to Fig. 9. The improvement information management system 1 of the second embodiment differs from the first embodiment only in the data extraction process performed by the related data extraction device 12. Therefore, only the data extraction process performed by the related data extraction device 12 will be described below. Note that, of the symbols used in the second and subsequent embodiments, those that are the same as those used in the previous embodiments represent the same components, etc. as those in the previous embodiments, unless otherwise specified.

[0069] In this embodiment, the related data extraction device 12 acquires new improvement information data input by the input device 21 (S21). The related data extraction device 12 may acquire titles and keywords in addition to problem data, improvement measure data, and execution result data as new improvement information data. When acquiring keywords, the related data extraction device 12 acquires classification keywords that have been checked in the checkboxes in the keyword field.

[0070] Next, the related data extraction device 12 acquires background information data input by the input device 21 (S22). That is, the related data extraction device 12 acquires, as background information data, the company name, the business content of the company, the name of the department within the company, the business content of the department, the target product name, etc., on the input screen of the input device 21. However, the related data extraction device 12 acquires, as background information data for data extraction, background information data for which a check box has been checked on the input screen of the input device 21.

[0071] Next, the related data extraction device 12 executes a process of extracting a plurality of words contained in the acquired new improvement information data, background information data, etc. (S23). The extracted words can be set to be limited to words related to the target technical field. For example, the related data extraction device 12 may use a known word extraction tool corresponding to the technical field, or the user may set a word list and extract words contained in the set word list.

[0072] Furthermore, the related data extraction device 12 may extract only some of the words contained in the data, rather than extracting all of them. For example, the words contained in the data may be sorted in a predetermined order of importance, and a predetermined number of the top words may be extracted.

[0073] Next, the related data extraction device 12 executes a search process on the improvement information data stored in the database 11 using the extracted multiple words as search keywords (S24). Next, as a result of the search process, the related data extraction device 12 determines that data among the improvement information data that includes the search keywords is data that is related to the new improvement information data (S25). The determination of whether the new improvement information data is related may be made when all the search keywords are included, or when only some of the search keywords are included.

[0074] According to this embodiment, the search process is performed using multiple words contained in the new improvement information data as search keywords, without the user having to input search keywords. Therefore, search keywords can be appropriately selected.

[0075] (Embodiment 3) The improvement information management system 1 of the third embodiment will be described with reference to Fig. 10. The improvement information management system 1 of the third embodiment differs from the first embodiment only in the data extraction process performed by the related data extraction device 12. Therefore, only the data extraction process performed by the related data extraction device 12 will be described below.

[0076] The related data extraction device 12 acquires new improvement information data input by the input device 21 (S31). The related data extraction device 12 may acquire titles and keywords in addition to problem data, improvement measure data, and execution result data as new improvement information data. When acquiring keywords, the classification keywords checked in the checkboxes in the keyword column are acquired.

[0077] Furthermore, the related data extraction device 12 may acquire background information data input via the input device 21. In this case, the related data extraction device 12 acquires, as background information data, the company name, the business content of the company, the name of the department within the company, the business content of the department, the target product name, etc., on the input screen of the input device 21. However, the related data extraction device 12 acquires, as background information data for data extraction, background information data for which a check box is checked on the input screen of the input device 21.

[0078] Next, the related data extraction device 12 uses a trained model capable of executing natural language processing by machine learning to determine the relevance between the new improvement information data and the improvement information data stored in the database 11. Then, the related data extraction device 12 extracts data that is relevant to the new improvement information data from the improvement information data stored in the database 11 (S32).

[0079] If the relevance can be determined by machine learning, this embodiment can be applied. In this case, when the person who proposes the improvement inputs new improvement information data, relevant past improvement information data is displayed.

[0080] (Embodiment 4) An improvement information management system 101 according to a fourth embodiment will be described with reference to Figs. 11 to 13. As shown in Fig. 11, the improvement information management system 101 includes a server device 102, a proposer terminal 3 used by an improvement proposer, and a user terminal 104. The server device 102, the proposer terminal 3, and the user terminal 104 form a network and are configured to be able to communicate with each other. The proposer terminal 3 includes proposer terminals 3a, 3b, and 3c for each target proposer. The proposer terminals 3a, 3b, and 3c can be various computers, such as mobile terminals such as tablets and laptops, or desktop terminals.

[0081] The user terminal 104 is a terminal that can be used not only by the improvement proposer, but also by any user who wants to use the improvement information data accumulated in the database 11 of the server device 102. The user may be, for example, a person who belongs to the same organization as the improvement proposer, or a person who belongs to an organization different from the organization to which the improvement proposer belongs. For example, the user may be a manager or a person from an external organization who wants to understand the improvement activities in the target organization, or an unskilled person who wants to understand the improvement activities.

[0082] The user terminal 104a can be various computers, such as mobile terminals such as tablets and laptops, or desktop terminals. The user terminal 104b is a wearable device that can be worn by a user and has a display screen. The user terminal 104b as a wearable device can display the real world, such as smart glasses or AR goggles, or can display a virtual world, such as VR goggles. The user terminal 104b as a wearable device is configured to acquire location information. In addition to the above, the user terminal 104b as a wearable device can also be a smart watch, etc.

[0083] The configuration of each element of the improvement information management system 101 will be described with reference to Fig. 12. The server device 102 includes a database 11, a related data extraction device 12, a notification device 13, and an improvement advice providing device 14. The proposer terminal 3 includes an input device 21 and a teaching device 22. The user terminal 104 includes a teaching object data providing device 31 and an improvement advice teaching device 32.

[0084] The teaching object data providing device 31 of the user terminal 104a generates teaching object data. The user terminal 104a can input, as teaching object data, the name of the company to which the user belongs, the business content of the company, the name of the department within the company to which the user belongs, the business content of the department, the name of the target product with which the user is involved, and the like. Furthermore, the user terminal 104a has a display screen. The display screen of the user terminal 104a displays, for example, map data of factory equipment, CAD data of products, image data of equipment and products, image data of the virtual factory, procedure manual data, and the like. The teaching object data providing device 31 of the user terminal 104a can also generate teaching object data from data displayed on the display screen of the user terminal 104a.

[0085] Furthermore, the user terminal 104b as a wearable device has a display screen. For example, an image of the surrounding environment in which the user is currently located is displayed on the display screen of the user terminal 104b as a wearable device. The teaching object data providing device 31 of the user terminal 104b as a wearable device generates the image information displayed on the display screen as teaching object data. Furthermore, if the user terminal 104b as a wearable device is configured to be able to acquire location information, it can also generate the location information as teaching object data.

[0086] Furthermore, if the user terminal 104b as a wearable device has registered pre-set background information of the user, the user terminal 104b generates the background information as the training data in addition to the image information. The background information includes, for example, the name of the company to which the user belongs, the business details of the company, the name of the department within the company to which the user belongs, the business details of the department, the name of the target product with which the user is involved, and the like.

[0087] The improvement advice providing device 14 of the server device 102 is configured to be able to acquire teaching purpose data from the teaching purpose data providing device 31 of the user terminal 104. In this embodiment, the server device 102 and the user terminal 104 form a network, so the improvement advice providing device 14 of the server device 102 can acquire teaching purpose data from the user terminal 104 via communication.

[0088] Therefore, the improvement advice providing device 14 acquires from the user terminal 104a the name of the company to which the user belongs, the business details of the company, map data of the factory equipment, CAD data of the product, etc. Also, the improvement advice providing device 14 acquires from the user terminal 104b as a wearable device image information, position information, background information, etc. displayed on the display screen.

[0089] The improvement advice providing device 14 then extracts data related to the teaching objective data from the improvement information data stored in the database 11. The improvement advice providing device 14 then provides the extracted data as improvement advice to the user terminal 104. Here, the determination of whether there is a relevance in the improvement advice providing device 14 can be made in the same manner as the determination of whether there is a relevance by the related data extracting device 12 in the first to third embodiments.

[0090] The improvement advice teaching device 32 of the user terminal 104 acquires data as improvement advice from the improvement advice providing device 14 of the server device 102 via communication. For example, the improvement advice teaching device 32 of the user terminal 104a can display data as improvement advice superimposed on data displayed on the display screen of the user terminal 104a. The improvement advice teaching device 32 of the user terminal 104a can also display only the data as improvement advice, regardless of the data displayed on the display screen. For example, the data as improvement advice can be displayed in a separate window.

[0091] The improvement advice teaching device 32 of the user terminal 104b as a wearable device can display data as improvement advice on the display screen of the wearable device. For example, as shown in Fig. 13, the display screen of the wearable device can display the data as improvement advice superimposed on an image of the surrounding environment in which the user is currently located.

[0092] According to this embodiment, data related to the teaching object data generated by the user terminal 104 is displayed on the user terminal 104 from among the improvement information data stored in the database 11. Therefore, the user can easily obtain desired data from the improvement information data stored in the database 11. In particular, by displaying the related data superimposed as improvement advice on the display screen of the user terminal 104, the user can visually grasp the improvement content.

[0093] (others) It is also possible to apply a combination of the associated data extraction devices 12 described in the above-mentioned first to third embodiments. For example, it is possible to apply the associated data extraction devices 12 described in the first and second embodiments. Furthermore, in the fourth embodiment, it is possible to apply any of the first to third embodiments to the associated data extraction device 12, and it is also possible to apply a combination of the first to third embodiments. [Explanation of symbols]

[0094] 1,101 Improvement Information Management System 11 Database 12 Related Data Extraction Device 21 Input Devices 22 Teaching device

Claims

1. a database that stores problem data, data on improvement measures for the problem, and data on the results of the implementation of the measures in association with each other as improvement information data; an input device configured to be able to input new improvement information data, which is at least one of the problem data, the improvement measure data, and the execution result data, and which registers the input new improvement information data in the database; a related data extraction device that determines a relationship between the new improvement information data input by the input device and the improvement information data stored in the database, and extracts data that is related to the new improvement information data from the improvement information data; a teaching device that teaches the data extracted by the related data extraction device when the new improvement information data is input by the input device; Equipped with the input device is configured to be able to additionally input the execution result data to the unexecuted data when the database stores unexecuted data that includes the problem data or the improvement measure data but does not include the execution result data, and additionally registers the additionally input execution result data in the database; When the teaching device has taught the unexecuted data, it registers teaching target information in the database in association with the unexecuted data; moreover, The improvement information management system includes a notification device that, when the execution result data is additionally registered by the input device, notifies the target of the instruction target information of the additionally registered information.

2. The improvement information management system according to claim 1 , wherein the execution result data includes one of success information and failure information.

3. the database stores classification keywords indicating classifications to which the problem data, the improvement measure data, and the execution result data belong in association with the problem data, the improvement measure data, and the execution result data; the input device is configured to select two or more of the classification keywords in inputting the new improvement information data; 3. The improvement information management system according to claim 1, wherein the related data extraction device determines whether or not there is a relevance between the classification keyword selected by the input device and the classification keyword stored in the database, based on a degree of match between the classification keyword selected by the input device and the classification keyword stored in the database.

4. The classification keyword includes a classification that indicates a relationship between a higher rank and a lower rank, or a classification that indicates a relationship between a whole and a part, 4. The improvement information management system according to claim 3, wherein the related data extraction device determines that two or more of the classification keywords selected by the input device are related to the new improvement information data when the classification keywords match the higher and lower classifications or when the classification keywords match the overall classification and partial classification.

5. the input device is configured to select two or more of the classification keywords for registration in the database when inputting the new improvement information data, and is configured to be able to select some or all of the classification keywords for data extraction by the related data extraction device from the classification keywords for registration; 5. The improvement information management system according to claim 3, wherein the related data extraction device determines whether or not there is a relevance between the new improvement information data and the classification keyword for data extraction selected by the input device based on a degree of match between the classification keyword and the classification keyword stored in the database.

6. a database that stores problem data, data on improvement measures for the problem, and data on the results of the implementation of the measures in association with each other as improvement information data; an input device configured to be able to input new improvement information data, which is at least one of the problem data, the improvement measure data, and the execution result data, and which registers the input new improvement information data in the database; a related data extraction device that determines a relationship between the new improvement information data input by the input device and the improvement information data stored in the database, and extracts data that is related to the new improvement information data from the improvement information data; a teaching device that teaches the data extracted by the related data extraction device when the new improvement information data is input by the input device; Equipped with the database stores classification keywords indicating classifications to which the problem data, the improvement measure data, and the execution result data belong in association with the problem data, the improvement measure data, and the execution result data; The classification keyword includes a classification that indicates a relationship between a higher rank and a lower rank, or a classification that indicates a relationship between a whole and a part, the input device is configured to select two or more of the classification keywords in inputting the new improvement information data; The related data extraction device determines that two or more of the classification keywords selected by the input device are related to the new improvement information data when they match the classification keywords stored in the database in terms of higher and lower classifications, or in terms of overall classification and partial classification.

7. The related data extraction device includes: executes a process of extracting a plurality of words included in the new improvement information data inputted by the input device; performing a search process on the improvement information data stored in the database using the extracted multiple words as search keywords; An improvement information management system according to any one of claims 1 to 6, wherein, as a result of the search process, data among the improvement information data that includes the search keyword is determined to be data that is relevant to the new improvement information data.

8. The improvement information management system according to any one of claims 1 to 7, wherein the related data extraction device determines the relevance between the new improvement information data and the improvement information data using a trained model capable of performing natural language processing by machine learning.

9. the database stores background information data to which the problem data, the remediation data, and the execution result data belong in association with the problem data, the remediation data, and the execution result data; the input device is configured to be able to input the background information data when inputting the new improvement information data; The improvement information management system according to any one of claims 1 to 8, wherein the related data extraction device determines whether or not there is a relevance between the new improvement information data and the background information data input by the input device based on the degree of match between the background information data input by the input device and the background information data stored in the database.

10. The improvement information management system according to claim 9 , wherein the background information data includes at least one of a company name, a department name within the company, a business description of the company, a business description of the department, and a target product name.

11. moreover, An improvement information management system as described in any one of claims 1 to 10, configured to be able to acquire instruction purpose data including at least one of a company name, a department name within the company, a company's business content, a department's business content, and a target product name from a user terminal, and comprising an improvement advice providing device that extracts data that is relevant to the instruction purpose data from the improvement information data stored in the database, and provides the extracted data to the user terminal as improvement advice.

12. moreover, a wearable device configured to be wearable by a user and having a display screen; an improvement advice providing device that forms a network with the wearable device and displays the improvement information data as improvement advice on the display screen of the wearable device; Equipped with The improvement advice providing device Acquire image information displayed on the display screen of the wearable device or position information of the wearable device; extracting data related to the image information or the position information displayed on the display screen from the improvement information data stored in the database; The improvement information management system according to any one of claims 1 to 10, wherein the extracted data is displayed as the improvement advice on the display screen of the wearable device.

13. 13. The improvement information management system according to claim 12, wherein the improvement advice providing device extracts, from the improvement information data stored in the database, data that is relevant to the image information or the location information displayed on the display screen and to background information including at least one of a company name, a department name within the company, a company business content, a department business content, and a target product name related to the user that has been set in advance.

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