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

Abstract

The present application relates to a production equipment monitoring system and a production equipment monitoring method, and a printing system. A production equipment monitoring system capable of achieving improvement of productivity of production equipment is provided. The production equipment monitoring system of the present application is provided with: an information acquisition section (50) that acquires information relating to productivity of production equipment (100); an information management section (20) that, according to one or more combinations of statistical results of specific information acquired by the information acquisition section (50), refers to one or more proposal item reference tables for prompting to a user, and extracts a proposal item that satisfies a condition of the statistical results; and a display section (30) that displays the proposal item extracted by the information management section (20).

Description

TECHNICAL FIELD

[0001] The present application relates to a production equipment monitoring system and a production equipment monitoring method, and a printing system. BACKGROUND

[0002] In various production equipment, in order to achieve improvement of productivity, it is necessary to grasp the state of the process of the production equipment. As for the state of the process, it is possible to grasp by various process monitoring systems which are generally popular. As one of the factors which have an influence on the productivity of the production equipment, in addition to the state of the process, it is possible to cite the operation rate of the production equipment.

[0003] In Patent Literature 1, a technology of calculating the operation rate which is one of the factors which have an influence on the productivity of the production equipment is disclosed, and specifically, a technology of calculating the interruption time caused by an error in the process of performing a job which is not included in the calculation of the operation rate of printing, thereby enabling the calculation of the operation rate in the execution time is disclosed.

[0004] PRIOR ART DOCUMENTS

[0005] PATENT LITERATURE

[0006] Patent Literature 1: Japanese Patent Application Laid-Open No. 2009-211256 SUMMARY

[0007] PROBLEMS TO BE SOLVED BY THE INVENTION

[0008] However, as one of the factors which have an influence on the productivity of the production equipment, in addition to the state of the process and the operation rate, it is possible to cite the problem item within the process and the problem item of the actual achievement. However, in the case where the job person discovers the problem item within the process and the problem item of the actual achievement which are these non-stable factors, the load of the job person is high, and moreover, in order to solve the problem, the domain knowledge of the job person (that is, the knowledge of the domain which is specialized in a specific field) is necessary. As a result, sometimes, the decrease of the productivity of the production equipment is caused.

[0009] The present application is made in view of such a situation, and an object thereof is to provide a production equipment monitoring system and a production equipment monitoring method which enable the improvement of the productivity of the production equipment, and a printing system.

[0010] MEANS FOR SOLVING THE PROBLEMS

[0011] The production equipment monitoring system of the present application is as follows: a production equipment monitoring system which monitors the productivity of one or more production equipment, comprising:

[0012] an information acquisition unit which acquires information relating to the productivity of the production equipment;

[0013] The information management unit extracts a proposal item that satisfies a condition of the statistical result, with reference to one or more proposal item reference tables for presenting to the user, according to one or more combinations of the statistical result of the specific information acquired by the information acquisition unit.

[0014] The display unit displays the proposal item extracted by the information management unit.

[0015] The production facility monitoring method according to the present application is as follows: A production facility monitoring method of monitoring productivity of one or more production facilities, wherein

[0016] acquiring information relating to productivity of the production facility,

[0017] extracting a proposal item that satisfies a condition of the statistical result, with reference to one or more proposal item reference tables for presenting to the user, according to one or more combinations of the statistical result of the specific information acquired,

[0018] displaying the proposal item extracted.

[0019] The printing system according to the present application is as follows: A printing system provided with one or more printing machines and a production facility monitoring system of monitoring productivity of the printing machine, wherein

[0020] The production facility monitoring system is provided with:

[0021] an information acquisition unit of acquiring information relating to productivity of the printing machine;

[0022] an information management unit of extracting a proposal item that satisfies a condition of the statistical result, with reference to one or more proposal item reference tables for presenting to the user, according to one or more combinations of the statistical result of the specific information acquired by the information acquisition unit;

[0023] a display unit of displaying the proposal item extracted by the information management unit.

[0024] Effects of the Invention

[0025] According to the present application, a non-stable factor of a production facility is determined, and a hint (improvement action) of improving a process with respect to the non-stable factor is presented to an operator (user), so that the burden of the operator can be reduced, and the field knowledge of the operator is not required, and thus improvement of productivity of the production facility can be achieved.

[0026] Furthermore, the above-mentioned problems, structures, and effects will become clear through the following description of the embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a schematic configuration diagram showing one example of a printing system to which the technology of the present application is applied.

[0028] Figure 2 is a schematic block diagram showing the structure of a production equipment monitoring system according to an embodiment of the present application.

[0029] Figure 3 is a flowchart showing one example of the processing sequence of a production equipment monitoring method according to an embodiment of the present application.

[0030] Figure 4 is a block diagram showing one example of the structure of an information acquisition unit in a case where the production equipment is a printing machine.

[0031] Figure 5 is a diagram showing one example of a proposal item reference table in which a plurality of proposal items can be referred to from a feature item in a case where the production equipment is a printing machine.

[0032] Symbol explanation

[0033] 1: printing system; 10: printing unit; 11 (11-1 - 11-n): printing machine; 20: information management unit; 21: information collection server; 22: production information database; 23: information analysis server; 30: display unit; 31: display of personal computer; 50: information acquisition unit; 51-1 - 51-m: plurality of 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. DETAILED DESCRIPTION

[0034] Hereinafter, a specific embodiment (Embodiment) of the present application will be described with reference to the drawings. In the present specification and the drawings, the same symbols are attached to constituent elements having substantially the same functions or structures, and thus overlapping description is omitted.

[0035] <Printing system>

[0036] In the present specification, a printing system to which the technology (production equipment monitoring system or production equipment monitoring method) of the present application is applied will be described taking an example. The printing system is constructed by disposing one or a plurality of printing machines as one example of production equipment. The printing system is used in a printing company that prints a large number of product catalogs, flyers, and the like, for example. In the present specification, as production equipment, a printing machine will be described taking an example, but the production equipment is not limited to a printing machine.

[0037] [Structure example of printing system]

[0038] Figure 1 is a schematic configuration diagram showing one example of a printing system to which the technology of the present application is applied (i.e., a printing system of the present application).

[0039] As Figure 1 shown, the printing system 1 involved in this application example is configured of a printing section 10, an information management section 20, and a display section 30. The printing section 10, the information management section 20, and the display section 30 are capable of communicating via a network 40 such as the Internet, a local area network, or the like.

[0040] The printing section 10 is configured of a plurality of (N) printers 11 (11-1 to 11-n). Here, as the printers 11, a case where a plurality of printers 11-1 to 11-n are exemplified, but it is not limited to a plurality, and it can be one. As the printers 11 (11-1 to 11-n), a publicly known structure of a printer (image forming apparatus) can be used.

[0041] The printers 11 (11-1 to 11-n) are, for example, image forming apparatuses of an electrophotographic system, and are apparatuses capable of forming images of a catalog, a leaflet, or the like with respect to various types of recording materials. In the printers 11 (11-1 to 11-n), the recording materials capable of forming images are in a sheet shape, and have various materials, basis weights, thicknesses, and sizes such as ordinary paper, thick paper, thin paper, Japanese paper, special paper, and the like.

[0042] The information management section 20 is configured of an information collecting server 21, a production information database 22, and an information analyzing server 23. The information management section 20 centrally manages the N printers 11-1 to 11-n, for example, via a cloud. Further, here, with respect to the information management section 20, the N printers 11-1 to 11-n are centrally managed via a cloud, but a structure where the information management section 20 is provided in each of the N printers 11-1 to 11-n can also be adopted. Details of the information collecting server 21, the production information database 22, and the information analyzing server 23 will be described later.

[0043] The display section 30 is configured of, for example, a display 31 of a personal computer, and displays information on the N printers 11-1 to 11-n managed by the information management section 20. Further, here, with respect to the display section 30, the display 31 of one personal computer is used, but in a case where a monitor (display) is equipped in each of the printers 11-1 to 11-n, a structure where the monitor is used as the display section 30 can also be adopted.

[0044] In the printing system 1 of the above-described structure, as factors that affect the productivity of the printing machines 11 (11-1 to 11-n) as one example of the production apparatus, there are in-process problem items and actual achievement problem items. However, in a case where the in-process problem items and the actual achievement problem items are found by the workers (operators), the load of the workers is high, and the field knowledge of the workers is required for solving the problems, so the productivity of the production apparatus is sometimes decreased.

[0045] The production apparatus monitoring system and the production apparatus monitoring method according to the embodiment of the present application described below are made in view of such a situation that the improvement of the productivity is realized without the load of the workers (operators) and the field knowledge of the workers.

[0046] <Production apparatus monitoring system according to the embodiment of the present application>

[0047] Figure 2 is a schematic block diagram showing the structure of the production apparatus monitoring system according to the embodiment of the present application. The production apparatus monitoring system according to the embodiment described below has a function of giving a user (worker / operator) an enlightenment suggestion for improving the process of a production apparatus such as a printing machine.

[0048] In Figure 2 , for simplicity of explanation, the system structure having one production apparatus is illustrated, but as the production apparatus, one or more can be provided. In addition, as the production apparatus, for example, the aforementioned printing machines 11 (11-1 to 11-n) can be exemplified, but is not limited to the printing machines 11 (11-1 to 11-n).

[0049] The production apparatus monitoring system according to the embodiment has a structure of having a production apparatus 100, an information management section 20, and a display section 30. The production apparatus 100, the information management section 20, and the display section 30 correspond to the printing section 10, the information management section 20, and the display section 30 of the aforementioned printing system 1.

[0050] In the production apparatus 100, an information acquisition section 50 that acquires information related to the productivity of the production apparatus 100 is provided. The information acquisition section 50 has a structure of having a plurality of sensors 51-1 to 51-m, a control section 52, and a network interface (I / F) 53.

[0051] The plurality of sensors 51-1 to 51-m acquire various information relating to the productivity of the production device 100. The control section 52 is configured from a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, which are omitted from the drawing here, and performs control to acquire the information relating to the productivity of the production device 100 in accordance with a processing program stored in the ROM. The network interface 53 transmits the information output from the control section 52 to the information management section 20 via the network 40.

[0052] As the information relating to the productivity of the production device 100, information such as a run log, an error log, and the like can be exemplified, and more specifically, for example, information such as productivity, running time, error type, and the number of each error, and the like.

[0053] The information management section 20 is structured so as to hold, in advance, the results of statistical processing of values hierarchically divided into a plurality of ranges, compare the coefficient of variation of each production device for each value, and use the production device having the largest value as an extraction target for a proposal item reference table to be described later. With this structure, it is possible to determine which production device is appropriate when a proposal item (for example, a sentence) is extracted from the proposal item reference table.

[0054] Specifically, the information management section 20 is configured from an information collecting server 21, a production information database 22, and an information analyzing server 23, and manages the production devices 100, for example, via the cloud. Also, here, the information management section 20 manages the production devices 100 via the cloud, but a structure in which the information management section 20 is disposed within the production devices 100 can also be employed.

[0055] The information collecting server 21 collects the information relating to the productivity of the production device 100 acquired by the information acquisition section 50 in the production device 100. The production information database 22 holds the information relating to the productivity of the production device 100 collected by the information collecting server 21. The information analyzing server 23 analyzes the information relating to the productivity of the production device 100 held in the production information database 22, refers to one or more proposal item reference tables for showing one or more proposal items to a user (operator) in accordance with one or more combinations of the statistical results of specific information, extracts a proposal item satisfying the conditions of the statistical results, and outputs to the display section 30. Specific examples of the proposal item reference table will be described later.

[0056] The display section 30 is configured from, for example, a display 31 of a personal computer, and provides (suggests) the user (operator) with the proposal item satisfying the conditions of the statistical results supplied from the information analyzing server 23 by document display.

[0057] <Production equipment monitoring method>

[0058] Next, the production equipment monitoring method according to the embodiment of the present application, which is executed in the production equipment monitoring system of the above-described structure, will be described specifically. The processing of the production equipment monitoring method is the analysis processing of the information relating to the productivity of the production equipment 100, which is executed in the information analysis server 23 under the control of the CPU constituting the information analysis server 23.

[0059] Figure 3 is a flowchart showing one example of the processing sequence of the production equipment monitoring method according to the embodiment of the present application.

[0060] When the analysis processing of the information relating to the productivity of the production equipment 100 is performed, the CPU (hereinafter, abbreviated as "CPU") constituting the information analysis server 23 first acquires data on the information relating to the productivity of the production equipment 100 collected by the information collection server 21 and saved in the production information database 22 (step Sll).

[0061] Next, the CPU performs stratification of the product unit, the time period, the day, the week, the month, and the like (step S12), and then performs statistical processing (statistical calculation) such as average, variance, coefficient of variation, maximum, minimum, and the like (step S13). Specifically, in the step S12 and the step S13, as the statistical processing, the following processing is performed: the statistical processing of the values stratified in a plurality of ranges is put in advance into a temporary storage or a database, the coefficient of variation of each production equipment is compared for each value, and the production equipment having the largest value is used as an extraction object of the proposal item reference table.

[0062] Next, the CPU performs pairing and aggregation of all statistical values based on the statistical processing such as the correlation coefficient, the characteristic quantity extraction, the deviation value of the distribution, and the like, applies a machine learning method to select parameters to be utilized (step S14), and then lists the characteristic items (step S15) and adds the weighting of the proposal items corresponding to the characteristic items (step S16).

[0063] Next, the CPU displays the proposal items in the display section 30 by a document in the order from the largest to the smallest of the weights according to the addition result of the weighting (step S17). By the display of the proposal items, the user (worker / operator) can be prompted with the enlightenment of the process improvement. By the above, the series of processing of the analysis processing of the information relating to the productivity of the production equipment 100 is ended.

[0064] As described above, according to the production device monitoring system or the production device monitoring method according to the present embodiment, it is possible to determine a non-stable factor of the production device, and to present an improvement suggestion (improvement action) for the non-stable factor as a proposal item to the user (worker / operator) through the document. In this way, by presenting the improvement suggestion to the user, it is possible to reduce the burden on the user, and since the field knowledge of the user is not required, it is possible to achieve an improvement in the productivity of the production device.

[0065] In addition, by performing a pair-wise aggregation of all statistical values based on statistical processing, and applying a machine learning method to select parameters to be utilized, it is possible to discriminate a proposal item (for example, a sentence) with a higher effect as a parameter to be improved when the proposal item is extracted.

[0066] <Example in the case where the production device is a printing machine>

[0067] Here, an example will be described in the case where the production device 100 is the printing machine 11 described above. Figure 4 is a block diagram showing one example of the structure of the information acquisition unit 50 in the case where the production device 100 is the printing machine 11.

[0068] 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 detectors. Note that the various sensors exemplified here are one example, and are not limited to these sensors, and other sensors can also be equipped.

[0069] The tray full sensor 51-11 detects that the paper loaded in the paper discharge tray reaches the number of sheets that can be loaded, and notifies the control unit 52 of the detection result. The tray empty sensor 51-12 detects that the paper supply tray becomes empty, and notifies the control unit 52 of the detection result. The jam detection sensor 51-13 detects that a jam occurs in the paper conveying 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.

[0070] The control section 52 performs control to acquire information relating to the productivity of the printer 11 in accordance with 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, and the like. Specifically, the control section 52 knows that the paper discharge tray is in a tray full state in which the paper discharge tray is full, in accordance with the detection result of the tray full sensor 51-11, and knows that the paper supply tray is in a paper shortage state in which the paper supply tray is empty, in accordance with the detection result of the tray empty sensor 51-12.

[0071] The control section 52 also knows that the state in which jam occurs in the paper conveying path, in accordance with the detection result of the jam detection sensor 51-13, and knows the state of the temperature and humidity inside the printer 11, in accordance with the detection results of the temperature sensor 51-14 and the humidity sensor 51-15. The temperature and humidity and the like of the surrounding environment inside the printer 11 sometimes have an influence on the occurrence of jam in the paper conveying path.

[0072] [Specific example of proposal item reference table]

[0073] Here, a specific example of a proposal item reference table that the information analysis server 23 refers to when extracting a proposal item to be proposed to a user (operator) is described in the case where the production device 100 is the printer 11. Further, in a site where a plurality of printers 11-1 to 11-n are arranged, one operator manages several (as one example, 2 to 3) printers as a unit.

[0074] Figure 5 is a view showing one example of a proposal item reference table that can refer to a plurality of proposal items from a feature item in the case where the production device is a printer. In Figure 5 In the proposal item reference table shown in FIG. 17, a data item, a hierarchy, a conditional clause, a proposal weight, and a proposal item are shown, for example. The data item is a non-stable factor of the printer exemplified below, which is determined from the operation log data of the printer 11.

[0075] As the data item of the non-stable factor, a tray full (number of times) in which the paper discharge tray is full, a paper shortage (number of times) in which the paper supply tray is empty, and a jam (number of times) can be exemplified. As the hierarchy, by machine, by time can be cited. In the time, a time period, a date, a day of the week are included. As the conditional clause, a number of jobs, a time period (for example, around 11 o'clock, around 17 o'clock) can be cited. As the proposal weight, 1 / 10 / 100 / 1000 are cited as one example.

[0076] From Figure 5The proposal item reference table shown can be clear that each item of the proposal item reference table has a weight, and the corresponding proposal content is added to the corresponding weight. The information analysis server 23, when extracting the proposal item to be prompted to the operator (job person) of the printer, refers to the proposal item reference table shown in the display unit 30. Figure 5 The proposal item reference table shown, the priority is decided from the proposal item with the largest weight, and is displayed in the display unit 30.

[0077] The information analysis server 23 performs pairing and aggregation of all statistical values based on statistical processing, applies a machine learning method to select parameters to be used, and increases the weight for the proposal item using the selected parameters. Thereby, the proposal item with higher importance can be prioritized.

[0078] Hereinafter, an example of determining a non-stable factor of a printer and prompting a user (job person / operator) for an improvement action on the non-stable factor with reference to one or more proposal item reference tables will be described.

[0079] • The data item is the paper tray full (number of times), and the proposal item is layered by machine

[0080] When the proposal weight is 100, (type00-001) increase the confirmation frequency of the job person. When the proposal weight is 1, (type00-002) change the screen setting of the monitoring application. When the proposal weight is 100, (type01-001) all the paper is transported from the paper tray (paper discharge tray) at once. When the proposal weight is 1000, (type00-999) the action of other operators is used as a reference.

[0081] • The data item is the paper tray full (number of times), and the proposal item is layered by machine, with the additional condition of the number of job sheets

[0082] When the proposal weight is 10, (type00-001) increase the confirmation frequency of the job person. When the proposal weight is 1, (type00-002) change the screen setting of the monitoring application. When the proposal weight is 10, (type01-001) all the paper is transported from the paper tray (paper discharge tray) at once. When the proposal weight is 100, (type01-002) select a large paper tray. When the proposal weight is 100, (type01-003) turn on the automatic selection of the paper tray.

[0083] • The data item is the paper tray full (number of times), and the proposal item is layered by time

[0084] (type00-001) increase the frequency of confirmation by the operator when the proposal weight is 1. (type00-002) change the screen setting of the monitoring application when the proposal weight is 1. (type00-003) confirm the operator's action after that time when the proposal weight is 100.

[0085] • a proposal item in the case where the data item is paper tray full (number of times), the layering is time, and the accompanying condition is the time period around 11 o'clock (in addition, around 11 o'clock is a time period when it is easy to relax before lunch break)

[0086] (type00-001) increase the frequency of confirmation by the operator when the proposal weight is 1. (type00-002) change the screen setting of the monitoring application when the proposal weight is 1. (type00-003) confirm the operator's action after that time when the proposal weight is 100.

[0087] • a proposal item in the case where the data item is paper tray full (number of times), the layering is time, and the accompanying condition is the time period around 17 o'clock (in addition, around 17 o'clock is a time period when it is easy to relax before work ends)

[0088] (type00-001) increase the frequency of confirmation by the operator when the proposal weight is 1. (type00-002) change the screen setting of the monitoring application when the proposal weight is 1. (type00-003) confirm the operator's action after that time when the proposal weight is 100.

[0089] • a proposal item in the case where the data item is paper shortage (number of times), the layering is by machine, and the accompanying condition is the number of jobs

[0090] (type00-001) increase the frequency of confirmation by the operator when the proposal weight is 10. (type00-002) change the screen setting of the monitoring application when the proposal weight is 1. (type00-999) use the action of another operator as a reference when the proposal weight is 100.

[0091] • a proposal item in the case where the data item is paper shortage (number of times), the layering is by machine, and the accompanying condition is the number of jobs (type00-001) increase the frequency of confirmation by the operator when the proposal weight is 100. (type00-002) change the screen setting of the monitoring application when the proposal weight is 1. (type02-001) put a sufficient amount of paper into the paper supply tray when the proposal weight is 100.

[0092] • Data item is paper jam (number of times), stratification is by machine in the case of the proposal item when the proposal weight is 100, (type03-001) confirm paper settings, (type03-002) strengthen the function of removing electricity, (type03-003) confirm the temperature and humidity of the surrounding environment, or (type03-004) change the fixing temperature.

[0093] • Data item is paper jam (number of times), stratification is by time in the case of the proposal item

[0094] In the case of the proposal item when the proposal weight is 100, (type03-001) confirm paper settings, (type03-002) strengthen the function of removing electricity, (type03-003) confirm the temperature and humidity of the surrounding environment, or (type03-004) change the fixing temperature.

[0095] As described above, by referring to one or more proposal item reference tables, it is possible to extract a plurality of proposal items from non-stable factors that are characteristic items of the printing machine. For example, in the case where the number of times that the paper tray is full is large on a particular day of the week for a particular printing machine, in the proposal item reference table, the data item corresponds to the paper tray full (number of times) and the stratification corresponds to by machine, the data item corresponds to the paper tray full (number of times) and the stratification corresponds to by time, so type00-001, type00-002, type01-001, type00-999, type00-003, type00-999 in the proposal item reference table correspond to the proposal item. Then, the corresponding four proposal items are displayed in the display section 30. Thus, it is possible to propose the proposal items displayed in the display section 30 to the user (job worker / operator) as improvement actions for non-stable factors. In addition, if weighting is implemented by simple addition, type00-999 is preferentially displayed.

[0096] As described above, in the printing machine that is an example of a production device, it is possible to determine non-stable factors of the printing machine such as paper tray full, paper shortage, paper jam, and the like, and to prompt the user (job worker / operator) with an indication (improvement action) of process improvement for the non-stable factors as a proposal item through a document. In this way, by prompting the user with an indication of process improvement, it is possible to reduce the burden on the user, and without the need for domain knowledge, it is possible to achieve an increase in productivity of the production device.

[0097] <Modified Example>

[0098] Further, the present application is not limited to the above-described embodiments, and various other applications and modifications can of course be made without departing from the spirit of the present application as recited in the claims. For example, with regard to the above-described embodiments, the structure of the system is described in detail and specifically in order to facilitate an understanding of the present application, and is not necessarily limited to having all of the described structures. In addition, addition, deletion, or substitution of other structures can also be made to a portion of the structure of the present embodiment.

[0099] Further, in the above-described embodiments, a printer is exemplified as the production device, but the production device is not limited to a printer, and in addition to a printer, a post-processing machine or the like can also be exemplified. The post-processing machine is a machine that performs processing such as forming a punch, processing for binding, processing for forming a mark image, processing for cutting (severing) paper, and the like on paper printed and output by the printer.

[0100] Further, in the above-described embodiments, under the control of the information management section 20, a non-stable factor of the printer is determined, and a suggestion for improvement of the process with respect to the non-stable factor is prompted to the user as a proposal item, but by displaying the statistical values based on the statistical processing in a list, the user is caused to select the proposal item, and the weighting of the proposal item reference table related to the selected parameter can also be increased.

Claims

1. A production equipment monitoring system that monitors productivity of one or more production equipments, the production equipment monitoring system comprising: an information acquisition section that acquires information related to productivity of the production equipments; an information management section that, according to one or more combinations of statistical results of specific information acquired by the information acquisition section, refers to one or more proposal item reference tables for prompting to a user, extracts a proposal item that satisfies a condition of the statistical results; and a display section that displays the proposal item extracted by the information management section, the information management section pre-holds results of statistical processing of values hierarchized in a plurality of ranges, compares a coefficient of variation of each production equipment for each value, and uses a production equipment with the largest value as an extraction target of the proposal item reference table, each proposal item of the proposal item reference table has a weight, and the information management section adds a corresponding weight to a proposal item corresponding to the condition of the statistical results, decides a priority from a proposal item with the largest weight, and displays.

2. The production equipment monitoring system according to claim 1, wherein the information management section performs paired aggregation of all statistical values based on statistical processing, and applies a machine learning method to select a parameter to be used.

3. The production equipment monitoring system according to claim 2, wherein the information management section increases weighting for a proposal item that uses the selected parameter.

4. The production equipment monitoring system according to any one of claims 1 to 3, wherein statistical values based on statistical processing are displayed, and a user selects a proposal item, so that weighting of a proposal item reference table related to the selected parameter is increased.

5. A production equipment monitoring method that monitors productivity of one or more production equipments, in the production equipment monitoring method, information related to productivity of the production equipments is acquired, according to one or more combinations of statistical results of specific information acquired, one or more proposal item reference tables for prompting to a user are referred to, a proposal item that satisfies a condition of the statistical results is extracted, the extracted proposal item is displayed, in the extraction, results of statistical processing of values hierarchized in a plurality of ranges that are pre-held are referred to, a coefficient of variation of each production equipment is compared for each value, and a production equipment with the largest value is used as an extraction target of the proposal item reference table, each proposal item of the proposal item reference table has a weight, in the extraction, a corresponding weight is added to a proposal item corresponding to the condition of the statistical results, a priority is decided from a proposal item with the largest weight, and displayed.

6. The production equipment monitoring method according to claim 5, wherein in the extraction, paired aggregation of all statistical values based on statistical processing is performed, and a machine learning method is applied to select a parameter to be used.

7. The production equipment monitoring method according to claim 6, wherein in the extraction, weighting is increased for a proposal item that uses the selected parameter.

8. The production equipment monitoring method according to any one of claims 5 to 7, wherein ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ In the extraction, statistical values based on statistical processing are displayed in a list to allow a user to select a proposal item, thereby increasing the weight of the proposal item reference table related to the selected parameter.

9. A printing system comprising: one or more printing machines; and a production equipment monitoring system that monitors productivity of the printing machines, the production equipment monitoring system comprising: an information acquisition unit that acquires information related to the productivity of the printing machines; an information management unit that extracts a proposal item that satisfies a condition of a statistical result based on one or more combinations of the statistical result of specific information acquired by the information acquisition unit, with reference to one or more proposal item reference tables for prompting a user, and a display unit that displays the proposal item extracted by the information management unit, the information management unit pre-storing results of statistical processing of values hierarchically classified into a plurality of ranges, comparing a variation coefficient of each printing machine for each value, and using a printing machine with the largest value as an extraction target of the proposal item reference table, each proposal item of the proposal item reference table having a weight, the information management unit adding a corresponding weight to a proposal item corresponding to the condition of the statistical result, determining a priority from a proposal item with the largest weight, and displaying the proposal item. ​

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