Production equipment monitoring system, production equipment monitoring method, and printing system

Abstract

To provide a production facility monitoring system capable of improving the productivity of a production facility.SOLUTION: A production facility monitoring system of the present invention comprises: an information acquisition unit 50 that acquires information on a productivity of a production facility 100; an information management unit 20 that refers to one or more suggested item reference tables to be proposed to a user and extracts a suggested item which satisfies a condition of a statistical result based on one or more combinations of the statistical results of the specific information acquired by the information acquisition unit 50; and a display unit 30 for displaying the suggested item extracted by the information management unit 20.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a production facility monitoring system, a production facility monitoring method, and a printing system.

Background Art

[0002] In various production facilities, in order to improve productivity, it is required to grasp the status of the production facility processes. The status of the processes can generally be grasped by various commonly used process monitoring systems. As one of the factors affecting the productivity of production facilities, in addition to the status of the processes, the operating rate of the production facilities can be cited.

[0003] Patent Document 1 discloses a technique for calculating the operating rate, which is one of the factors affecting the productivity of production facilities. Specifically, it calculates the interruption time due to errors during job execution and does not include the interruption time in the calculation of the printing operating rate, so that the calculation of the operating rate can be performed based on the execution time.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, as factors affecting the productivity of production facilities, in addition to the status of the processes and the operating rate, problem items within the process and performance problem items can be cited. However, if the operator discovers these non-steady factors, namely, problem items within the process and performance problem items, the operator's workload is high, and moreover, the operator's domain knowledge (that is, knowledge in a field specialized in a specific field) is required to solve the problems. As a result, it may lead to a decrease in the productivity of production facilities.

[0006] The present invention has been made in view of such a situation, and an object thereof is to provide a production facility monitoring system and a production facility monitoring method capable of improving the productivity of production facilities, as well as a printing system.

Means for Solving the Problems

[0007] The production facility monitoring system of the present invention is a production facility monitoring system for monitoring the productivity of one or more production facilities, an information acquisition unit that acquires information related to the productivity of the production facility, an information management unit that extracts proposed items that satisfy the conditions of the statistical results by referring to one or more proposed item reference tables for presenting to the user based on one or more combinations of the statistical results of the specific information acquired by the information acquisition unit, and a display unit that displays the proposed items extracted by the information management unit. Display section And is provided. The information management section pre-holds the results of statistical processing of numerically stratified data in multiple ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target for the proposal item reference table, each proposal item in the proposal item reference table has a weight, the information management section adds the weight corresponding to the proposal item that meets the conditions of the statistical results, determines the priority from the proposal item with the largest weighting and displays it .

[0008] The production facility monitoring method according to the present invention is a production facility monitoring method for monitoring the productivity of one or more production facilities, acquiring information related to the productivity of the production facility, The information acquisition section acquiring, extracting proposed items that satisfy the conditions of the statistical results by referring to one or more proposed item reference tables for presenting to the user based on one or more combinations of the statistical results of the specific information acquired, Reference extracting the proposed items that satisfy the conditions of the statistical results by referring to one or more proposed item reference tables for presenting to the user based on one or more combinations of the statistical results of the specific information acquired, The information management section extracting, and displaying the extracted proposed items. The display section displaying. Also, The information management section pre-holds the results of statistical processing of numerically stratified data in multiple ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target for the proposal item reference table, each proposal item in the proposal item reference table has a weight, the information management section adds the weight corresponding to the proposal item that meets the conditions of the statistical results, determines the priority from the proposal item with the largest weighting and displays it 。

[0009] The printing system according to the present invention is a printing system including one or more printing machines and production equipment monitoring for monitoring the productivity of the printing machines, wherein the production equipment monitoring includes an information acquisition unit that acquires information related to the productivity of the printing machines, an information management unit that extracts proposed items that satisfy the conditions of the statistical results by referring to one or more proposed item reference tables for presenting to the user based on one or more combinations of the statistical results of specific information acquired by the information acquisition unit, a display unit that displays the proposed items extracted by the information management unit, and is provided with. The information management section pre-holds the results of statistical processing of numerically stratified data in multiple ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target for the proposal item reference table, each proposal item in the proposal item reference table has a weight, the information management section adds the weight corresponding to the proposal item that meets the conditions of the statistical results, determines the priority from the proposal item with the largest weighting and displays it 。

Advantages of the Invention

[0010] According to the present invention, by identifying the non-steady factors of the production equipment and presenting hints (improvement actions) for process improvement for the non-steady factors to the operator (user), the burden on the operator can be reduced, and since the domain knowledge of the operator is not required, the productivity of the production equipment can be improved.

[0011] In addition, problems, configurations, and effects other than those described above will be clarified by the description of the following embodiments.

Brief Description of the Drawings

[0012]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Mode for Carrying Out the Invention

[0013] Hereinafter, embodiments (embodiments) for carrying out the present invention will be described with reference to the accompanying drawings. In this specification and the drawings, components having substantially the same function or configuration are denoted by the same reference numerals, and overlapping descriptions are omitted.

[0014] <Printing System> In this specification, a printing system to which the technology of the present invention (production facility monitoring system or production facility monitoring method) is applied will be described as an example. The printing system is constructed by arranging one or more printing machines, which are an example of production facilities. The printing system is used, for example, in a printing company that prints a large amount of catalogs, flyers, etc. In this specification, a printing machine is described as an example of a production facility, but the production facility is not limited to a printing machine.

[0015] [Example of Configuration of Printing System] FIG. 1 is a schematic configuration diagram showing an example of a printing system (that is, the printing system of the present invention) to which the technology of the present invention is applied.

[0016] As shown in FIG. 1, the printing system 1 according to this application example is composed of a printing unit 10, an information management unit 20, and a display unit 30. The printing unit 10, the information management unit 20, and the display unit 30 can communicate with each other via a network 40 such as the Internet or a local area network.

[0017] The printing unit 10 is composed of a plurality of (N) printing machines 11 (11-1 to 11-n). Here, the case where there are a plurality of printing machines 11-1 to 11-n as the printing machine 11 is exemplified, but it is not limited to a plurality of units, and one unit may be sufficient. As the printing machine 11 (11-1 to 11-n), a printing machine (image forming apparatus) with a well-known configuration can be used.

[0018] The printing machine 11 (11-1 to 11-n) is, for example, an electrophotographic image forming apparatus, and is an apparatus capable of forming images such as catalogs and flyers on various types of recording materials. In this printing machine 11 (11-1 to 11-n), the recording materials on which images can be formed are sheet-shaped, and have various materials, basis weights, thicknesses, and sizes such as plain paper, cardboard, thin paper, Japanese paper, and special paper.

[0019] The information management unit 20 is composed of an information collection server 21, a production information database 22, and an information analysis server 23. The information management unit 20 collectively manages the N printing machines 11-1 to 11-n via, for example, the cloud. Here, it is assumed that the information management unit 20 collectively manages the N printing machines 11-1 to 11-n via the cloud, but a configuration in which the information management unit 20 is arranged for each of the N printing machines 11-1 to 11-n can also be adopted. Details of the information collection server 21, the production information database 22, and the information analysis server 23 will be described later.

[0020] The display unit 30 consists of, for example, the display 31 of a personal computer, and displays information about the N printing machines 11-1 to 11-n managed by the information management unit 20. Here, it is assumed that the display 31 of one personal computer is used as the display unit 30. However, when each of the printing machines 11-1 to 11-n is equipped with a monitor (display), the configuration may be such that the monitor is used as the display unit 30.

[0021] In the printing system 1 having the above configuration, as factors affecting the productivity of the printing machine 11 (11-1 to 11-n) as an example of production equipment, problem items within the process and problem items of performance can be cited. However, if the operator discovers the problem items within the process and the problem items of performance, the load on the operator is high, and moreover, since the operator's domain knowledge for solving the problem is required, it may lead to a decrease in the productivity of the production equipment.

[0022] In such a situation, that is, in order to reduce the load on the operator, not require the operator's domain knowledge, and improve productivity, the production equipment monitoring system and the production equipment monitoring method according to the embodiment of the present invention described below have been made.

[0023] <Production Equipment Monitoring System According to Embodiment of the Present Invention> FIG. 2 is a block diagram showing an outline of the configuration of the production equipment monitoring system according to the embodiment of the present invention. The production equipment monitoring system according to the present embodiment described below has a function of presenting hints for process improvement to the user (operator) for production equipment such as a printing machine.

[0024] In FIG. 2, for the sake of simplicity of explanation, a system configuration with one production equipment is illustrated, but the number of production equipment may be one or more. Further, as the production equipment, for example, the above-described printing machine 11 (11-1 to 11-n) can be exemplified, but it is not limited to the printing machine 11 (11-1 to 11-n).

[0025] The production facility monitoring system according to this embodiment includes a production facility 100, an information management unit 20, and a display unit 30. The production facility 100, the information management unit 20, and the display unit 30 correspond to the printing unit 10, the information management unit 20, and the display unit 30 of the printing system 1 described above.

[0026] The production facility 100 is provided with an information acquisition unit 50 that acquires information regarding the productivity of the production facility 100. The information acquisition unit 50 includes a plurality of sensors 51-1 to 51-m, a control unit 52, and a network interface (I / F) 53.

[0027] The plurality of sensors 51-1 to 51-m acquire various information regarding the productivity of the production facility 100. The control unit 52 is composed of a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc., which are not shown here, and performs control to acquire information regarding the productivity of the production facility 100 according to a processing program stored in the ROM. The network interface 53 transmits the information output from the control unit 52 to the information management unit 20 via the network network 40.

[0028] Examples of the information regarding the productivity of the production facility 100 include information such as an operation log and an error log. More specifically, for example, information such as productivity, operation time, error type, and the number of each error can be exemplified.

[0029] The information management unit 20 holds in advance the results of statistical processing of numerical values stratified in a plurality of ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target of a proposed item reference table described later. With this configuration, when extracting a proposed item (for example, a sentence) from the proposed item reference table, it is possible to determine which production facility it is suitable for.

[0030] Specifically, the information management unit 20 is composed of an information collection server 21, a production information database 22, and an information analysis server 23, and manages the production equipment 100 via, for example, the cloud. Here, it is assumed that the information management unit 20 manages the production equipment 100 via the cloud, but the configuration may also be such that the information management unit 20 is arranged within the production equipment 100.

[0031] The information collection server 21 collects information regarding the productivity of the production equipment 100 acquired by the information acquisition unit 50 in the production equipment 100. The production information database 22 stores the information regarding the productivity of the production equipment 100 collected by the information collection server 21. The information analysis server 23 analyzes the information regarding the productivity of the production equipment 100 stored in the production information database 22, and extracts proposed items that satisfy the conditions of the statistical results by referring to one or a plurality of combined proposed item reference tables for presenting to the user (operator) based on one or a plurality of combinations of the statistical results of specific information, and outputs them to the display unit 30. A specific example of the proposed item reference table will be described later.

[0032] The display unit 30 is composed of, for example, a display 31 of a personal computer, and displays, in a document, the proposed items that satisfy the conditions of the statistical results supplied from the information analysis server 23, and provides (presents) them to the user (operator).

[0033] <Production Equipment Monitoring Method According to Embodiment of the Present Invention> Subsequently, the production equipment monitoring method according to the embodiment of the present invention, which is executed in the production equipment monitoring system having the above configuration, will be specifically described. The processing of this production equipment monitoring method is an analysis process of information regarding the productivity of the production equipment 100, which is executed in the information analysis server 23 under the control of the CPU that constitutes the information analysis server 23.

[0034] FIG. 3 is a flowchart showing an example of the processing procedure of the production equipment monitoring method according to the embodiment of the present invention.

[0035] In analyzing information regarding the productivity of the production equipment 100, the CPU (hereinafter simply described as "CPU") that constitutes the information analysis server 23 first acquires data on information regarding the productivity of the production equipment 100 collected by the information collection server 21 and stored in the production information database 22 (step S11).

[0036] Next, the CPU performs hierarchical classification by product unit, time zone, day, week, month, by machine body, etc. (step S12), and then performs statistical processing (statistical calculation) such as average, variance, coefficient of variation, maximum, minimum, etc. (step S13). Specifically, in step S12 and step S13, as statistical processing, the statistical processing of numerical values classified in a plurality of ranges is temporarily stored in the temporary storage unit or the database in advance, and the coefficient of variation for each production equipment is compared for each numerical value, and the production equipment with the largest value is used as the extraction target of the proposal item reference table.

[0037] Next, the CPU performs pair aggregation of all statistical values by statistical processing such as correlation coefficient, feature extraction, and outliers of distribution, selects parameters to be used by applying a machine learning method (step S14), then lists up feature items (step S15), and adds weights to the proposal items corresponding to the feature items (step S16).

[0038] Next, based on the addition result of the weights, the CPU causes the display unit 30 to display the proposal items in the document in order from the ones with the largest weights (step S17). By displaying these proposal items, hints for process improvement can be presented to the user (worker / operator). Thus, a series of processes for analyzing information regarding the productivity of the production equipment 100 is completed.

[0039] As described above, according to the production facility monitoring system or the production facility monitoring method according to the present embodiment, it is possible to identify the unsteady factors of the production facility and present, in writing, hints for process improvement (improvement actions) for the unsteady factors to the user (worker / operator) as proposed items. In this way, by presenting hints for process improvement to the user, the burden on the user can be reduced, and since the user's domain knowledge is not required, it is possible to improve the productivity of the production facility.

[0040] In addition, by performing pair aggregation of all statistical values through statistical processing and selecting parameters to be used by applying a machine learning method, it is possible to discriminate more effective proposed items as parameters to be improved when extracting proposed items (for example, sentences).

[0041] <Example when the production facility is a printing machine> Here, a case where the production facility 100 is the printing machine 11 described above will be described as an example. FIG. 4 is a block diagram showing an example of the configuration of the information acquisition unit 50 when the production facility 100 is the printing machine 11.

[0042] Inside the printing machine 11, various sensors such as a tray full sensor 51-11, a tray empty sensor 51-12, a jam detection sensor 51-13, a temperature sensor 51-14, and a humidity sensor 51-15 are equipped as measuring instruments. Note that the various sensors exemplified here are just examples and are not limited to these sensors, and furthermore, other sensors may be equipped.

[0043] The tray full sensor 51-11 detects that the number of sheets stacked on the paper discharge tray has reached the maximum stackable number, and notifies the control unit 52 of the detection result. The tray empty sensor 51-12 detects that the paper feed tray has become empty, and notifies the control unit 52 of the detection result. The jam detection sensor 51-13 detects that a paper jam has occurred in the paper conveyance path, and notifies the control unit 52 of the detection result. The temperature sensor 51-14 detects the internal temperature of the printing machine 11, and notifies the control unit 52 of the detection result. The humidity sensor 51-15 detects the internal humidity of the printing machine 11, and notifies the control unit 52 of the detection result.

[0044] Based on the detection results of the tray full sensor 51-11, the tray empty sensor 51-12, the jam detection sensor 51-13, the temperature sensor 51-14, and the humidity sensor 51-15, etc., the control unit 52 performs control to acquire information regarding the productivity of the printing machine 11. Specifically, based on the detection result of the tray full sensor 51-11, the control unit 52 knows that the paper discharge tray is in a tray full state where it is full, and based on the detection result of the tray empty sensor 51-12, the control unit 52 knows that the paper feed tray is in a paper empty state where it is empty.

[0045] Furthermore, based on the detection result of the jam detection sensor 51-13, the control unit 52 knows that a paper jam has occurred in the paper conveyance path, and based on the detection results of the temperature sensor 51-14 and the humidity sensor 51-15, the control unit 52 knows the temperature and humidity states inside the printing machine 11. The surrounding environment such as the temperature and humidity inside the printing machine 11 may affect the occurrence of paper jams in the paper conveyance path.

[0046] [Specific Example of Proposal Item Reference Table] Here, when the production facility 100 is a printing press 11, a specific example of a proposed item reference table that the information analysis server 23 refers to when extracting proposed items to be proposed to a user (operator) will be described. In a site where a plurality of printing presses 11-1 to 11-n are arranged, one operator will manage several (for example, 2 to 3) printing presses as a unit.

[0047] FIG. 5 is a diagram showing an example of a proposed item reference table from which a plurality of proposed items can be referred to from characteristic items when the production facility is a printing press. In the proposed item reference table shown in FIG. 5, for example, data items, classification by layer, accompanying conditions, proposed weights, and proposed items are shown. The data items are unsteady factors of the printing press exemplified below, which are specified from the operation log data of the printing press 11.

[0048] Examples of the data items that are unsteady factors include full tray (number of times) when the paper discharge tray is full, paper empty (number of times) when the paper feed tray is empty, and paper jam (number of times). Examples of classification by layer include by machine body and time. Time includes time zone, date, and day of the week. Examples of accompanying conditions include the number of job sheets and time zone (for example, the 11 o'clock hour or the 17 o'clock hour). Examples of the proposed weights here are 1 / 10 / 100 / 1000 as an example.

[0049] As is clear from the proposed item reference table shown in FIG. 5, each item of the proposed item reference table has a weight, and the proposed content corresponding to the condition has the corresponding weight added. When extracting the proposed items to be presented to the operator (worker) of the printing press, the information analysis server 23 refers to the proposed item reference table shown in FIG. 5, determines the priority from the proposed items with the highest weighting, and displays it on the display unit 30.

[0050] The information analysis server 23 performs pair aggregation of all statistical values by statistical processing, selects parameters to be used by applying a machine learning method, and increases the weighting for proposed items using the selected parameters. As a result, proposed items with even higher importance can be prioritized.

[0051] The following describes an example of proposed items that identify the non-steady factors of a printing machine and present improvement actions for the non-steady factors to the user (worker / operator) by referring to one or more proposed item reference tables.

[0052] · Proposed items when the data item is Paper Tray Full (number of times) and the stratification is by machine When the proposed weight is 100, (type00-001) increase the operator's confirmation frequency. When the proposed weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposed weight is 100, (type01-001) remove all the paper from the paper tray (output tray) at once. When the proposed weight is 1000, (type00-999) refer to the actions of other operators.

[0053] · Proposed items when the data item is Paper Tray Full (number of times), the stratification is by machine, and the accompanying condition is the number of job sheets When the proposed weight is 10, (type00-001) increase the operator's confirmation frequency. When the proposed weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposed weight is 10, (type01-001) remove all the paper from the paper tray (output tray) at once. When the proposed weight is 100, (type01-002) select a large paper tray. When the proposed weight is 100, (type01-003) turn on the automatic paper tray selection.

[0054] · Proposed items when the data item is Paper Tray Full (number of times) and the stratification is by time When the proposal weight is 1, (type00-001) increase the operator's confirmation frequency. When the proposal weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposal weight is 100, (type00-003) check the operator's actions after the corresponding time. When the proposal weight is 1000, (type00-999) refer to the movements in other time periods.

[0055] · When the data item is paper tray full (times), the stratification is time, and the accompanying condition is the 11 o'clock time period (by the way, the 11 o'clock time period is the time before lunch break when people tend to be relaxed). When the proposal weight is 1, (type00-001) increase the operator's confirmation frequency. When the proposal weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposal weight is 100, (type00-003) check the operator's actions after the corresponding time.

[0056] · When the data item is paper tray empty (times), the stratification is by machine, and the accompanying condition is the number of job sheets. When the proposal weight is 1, (type00-001) increase the operator's confirmation frequency. When the proposal weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposal weight is 100, (type00-003) check the operator's actions after the corresponding time.

[0057] · When the data item is paper empty (times), the stratification is by machine. When the proposal weight is 10, (type00-001) increase the operator's confirmation frequency. When the proposal weight is 1, (type00-002) change the screen settings of the monitoring application. When the proposal weight is 100, (type00-999) refer to the movements of other operators.

[0058] · When the data item is paper empty (times), the stratification is by machine. When the proposal weight is 100, increase the operator's confirmation frequency (type00-001). When the proposal weight is 1, change the screen settings of the monitoring application (type00-002). When the proposal weight is 100, put a sufficient amount of paper into the paper feed tray (type02-001).

[0059] · Suggestion items when the data item is paper jam (number of times) and the stratification is by machine When the proposal weight is 100, check the paper settings (type03-001), enhance the static elimination function (type03-002), check the surrounding environment such as temperature and humidity (type03-003), or change the fixing temperature (type03-004).

[0060] · Suggestion items when the data item is paper jam (number of times) and the stratification is by time When the proposal weight is 100, check the paper settings (type03-001), enhance the static elimination function (type03-002), check the surrounding environment such as temperature and humidity (type03-003), or change the fixing temperature (type03-004).

[0061] As described above, by referring to one or more proposal item reference tables, a plurality of proposal items can be extracted from the non-steady factors which are the characteristic items of the printing machine. For example, if the number of times of paper tray full is high on a specific day of a specific printing machine, in the proposal item reference table, since the data item is paper tray full (number of times) and the stratification is by machine, and the data item is paper tray full (number of times) and the stratification is by time, type00-001, type00-002, type01-001, type 00-999, type00-003, type00-999 in the proposal item reference table correspond to the proposal items. Then, the corresponding 4 proposal items are displayed on the display unit 30. Thereby, the proposal items displayed on the display unit 30 can be proposed to the user (operator) as improvement actions for the non-steady factors. Also, if the weighting is performed by simple addition, type00-999 will be preferentially displayed.

[0062] As described above, in a printing press which is an example of production equipment, it is possible to identify the non-steady factors of the printing press such as paper tray full, paper empty, and paper jam, and present to the user (operator) in a document as proposed items the hints (improvement actions) for process improvement for the non-steady factors. By presenting the hints for process improvement to the user in this way, the burden on the user can be reduced, and since domain knowledge is not required, the productivity of the production equipment can be improved.

[0063] <Modification Example> Note that the present invention is not limited to the above-described embodiments, and it goes without saying that various other application examples and modification examples can be adopted without departing from the gist of the present invention described in the claims. For example, the above-described embodiments have described the configuration of the system in detail and specifically in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Also, it is possible to add, delete, or replace a part of the configuration of this embodiment with other configurations.

[0064] Also, in the above-described embodiments, a printing press has been described as an example of production equipment, but the production equipment is not limited to a printing press, and in addition to a printing press, a post-processing machine and the like can be exemplified. A post-processing machine is a processing machine that performs processes such as forming punch holes, attaching staples, forming marking images, and cutting (severing) paper on the paper printed and output by a printing press.

[0065] Also, in the above-described embodiments, under the control of the information management unit 20, the non-steady factors of the printing press are identified, and the hints for process improvement for the non-steady factors are presented to the user as proposed items. However, it is also possible to increase the weighting of the proposed item reference table for the selected parameters by displaying a list of statistical values obtained by statistical processing and allowing the user to select the proposed items.

Explanation of Reference Numerals

[0066] 1... Printing system, 10... Printing unit, 11(11-1 to 11-n)... Printing machines, 20... Information management unit, 21... Server for information collection, 22... Production information database, 23... Server for information analysis, 30... Display unit, 31... Display of personal computer, 50... Information acquisition unit, 51-1 to 51-m... Multiple sensors, 51-11... Tray full sensor, 51-12... Tray empty sensor, 51-13... Jam detection sensor, 51-14... Temperature sensor, 51-15... Humidity sensor, 52... Control unit, 53... Network interface (I / F), 100... Production equipment

Claims

1. A production equipment monitoring system for monitoring the productivity of one or more production facilities, comprising: an information acquisition unit that acquires information related to the productivity of the production equipment; an information management unit that refers to one or more proposed item reference tables for presenting to a user based on one or more combinations of statistical results of specific information acquired by the information acquisition unit, and extracts proposed items that meet the conditions of the statistical results; a display unit that displays the proposed items extracted by the information management unit. The information management unit pre-holds the results of statistical processing of numerical values stratified in a plurality of ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target of the proposed item reference table. Each proposed item in the proposed item reference table has a weight. The information management unit adds the weight corresponding to the proposed item that meets the conditions of the statistical results, determines the priority from the proposed item with the largest weighting, and displays it. A production equipment monitoring system.

2. The information management unit performs pair aggregation of all statistical values by statistical processing and selects parameters to be used by applying a machine learning method. The production equipment monitoring system according to Claim 1.

3. The information management unit increases the weighting for the proposed items using the selected parameters. The production equipment monitoring system according to Claim 2.

4. By displaying a list of statistical values by statistical processing and allowing the user to select proposed items, the weighting of the proposed item reference table regarding the selected parameters is increased. The production equipment monitoring system according to any one of Claims 1 to 3.

5. A production equipment monitoring method for monitoring the productivity of one or more production facilities, comprising: the information acquisition unit acquires information related to the productivity of the production equipment; the information management unit refers to one or more proposed item reference tables for presenting to a user based on one or more combinations of statistical results of specific information acquired, and extracts proposed items that meet the conditions of the statistical results; the display unit displays the extracted proposed items; the information management unit pre-holds the results of statistical processing of numerical values stratified in a plurality of ranges, compares the coefficient of variation for each production facility for each numerical value, and uses the production facility with the largest numerical value as the extraction target of the proposed item reference table; each proposed item in the proposed item reference table has a weight. The information management unit adds weights corresponding to the proposed items that meet the conditions of the statistical results, determines the priority from the proposed item with the highest weighting, and displays it. Production equipment monitoring method.

6. One or more printing presses, Production equipment monitoring for monitoring the productivity of the printing presses, A printing system comprising: The production equipment monitoring includes: An information acquisition unit that acquires information regarding the productivity of the printing presses, An information management unit that extracts proposed items that meet the conditions of the statistical results by referring to one or more proposed item reference tables for presenting to the user based on one or more combinations of the statistical results of specific information acquired by the information acquisition unit, A display unit that displays the proposed items extracted by the information management unit, The information management unit holds in advance the results of statistical processing of numerically stratified in a plurality of ranges, compares the coefficients of variation for each production equipment for each numerical value, and uses the production equipment with the largest numerical value as the extraction target of the proposed item reference table. Each proposed item in the proposed item reference table has a weight. The information management unit adds weights corresponding to the proposed items that meet the conditions of the statistical results, determines the priority from the proposed item with the highest weighting, and displays it. Printing system.

Images