WO2017212552A1

WO2017212552A1 - Data processing device, data processing method, and data processing program

Info

Publication number: WO2017212552A1
Application number: PCT/JP2016/066938
Authority: WO
Inventors: 大貴中原; 鴇矢　悟; 古澤　康一
Original assignee: 三菱電機株式会社
Priority date: 2016-06-07
Filing date: 2016-06-07
Publication date: 2017-12-14
Also published as: TW201743272A; JPWO2017212552A1

Abstract

In the case where a problem in production arises in a factory, a factor information addition unit (108) requests a user to specify a way of coping with the problem. Further, the factor information addition unit (108) registers the way of coping specified by the user in response to the request in a database with the way of coping associated with a change in collection data that relates to the problem and is collected in the factory.

Description

Data processing apparatus, data processing method, and data processing program

The present invention relates to a data processing device, a data processing method, and a data processing program.

Conventionally, in the factory, when a problem in production such as equipment trouble occurs, in order to deal with the problem, the worker in the factory can explain the contents of the problem that has occurred from the display of the equipment and the appearance of the equipment. It was necessary to understand and predict the cause of the problem from the contents and experience of the manual, and to deal with the problem. However, such work is highly dependent on the experience of experienced workers, cannot be quantified and ruled, and it is difficult to quickly take appropriate measures against problems that occur. For this reason, a lot of time may be required for troubleshooting.
When a production problem occurs in response to such a problem, using the collected equipment data and past results, the countermeasures for the problem are presented to the worker, and the worker's knowledge and experience A system that can cope with a problem without relying on determination based on the search or search operation is disclosed (for example, Patent Documents 1 to 3).

Japanese Unexamined Patent Publication No. 7-7262 JP 2007-272400 A Japanese Patent Laying-Open No. 2015-152933

In order to realize a system such as Patent Documents 1 to 3, the following two types of combination information are required.
(1) Coping method (2) Data change The above “coping method” is a method for coping with a problem that has occurred. The problem is, for example, a production problem such as a production line stoppage. A “data change” is a change in the collected data associated with the problem. Collected data is data collected at a factory.
In addition, when the cause of the problem (hereinafter simply referred to as “factor”) is known, it is desirable to manage the “factor” and “data change” in association with the “factor”. . In addition, since the “factor” may not be clarified, the information on the “factor” is not essential.

Patent Documents 1 to 3 do not show an effective method for acquiring the combination information. In Patent Documents 1 to 3, it is assumed that an operator inputs the above combination information using key-in means, or prepares the above combination information in advance.
However, it takes much time to manually input the combination information using the key-in means. For this reason, it is not realistic for an operator to create the above combination information while operating the factory. On the other hand, there is a problem that it is difficult to create combination information unless it is a worker.
Moreover, since the factors that stop the production line and the countermeasures differ depending on the factories and facilities, it is difficult to generalize them and it is necessary to create them for each factories and facilities. That is, it is difficult to prepare the combination information in advance.

The main object of the present invention is to make it possible to efficiently accumulate changes in collected data related to a problem and how to deal with the problem when a problem occurs in each factory. And

The data processing apparatus according to the present invention
When a production problem occurs in the factory, a designation requesting unit that requests the user to designate a countermeasure for the problem;
A database registration unit for registering a countermeasure specified by the user in response to a request from the designation request unit in a database in association with a change in the collected data collected in the factory related to the problem;

In the present invention, when a production problem occurs, the user is requested to specify a method for dealing with the problem. Then, the countermeasure specified by the user is registered in the database in association with the change in the collected data related to the problem. For this reason, according to this invention, the change of the collection data relevant to the problem which generate | occur | produced and the coping method to a problem can be efficiently accumulate | stored for every factory.

FIG. 3 is a diagram showing an outline of a processing procedure using the data processing apparatus according to the first embodiment. FIG. 3 is a diagram illustrating an example of a system configuration according to the first embodiment. FIG. 3 is a diagram illustrating a hardware configuration example of the data processing device according to the first embodiment. FIG. 3 is a diagram illustrating a functional configuration example of the data processing device according to the first embodiment. The flowchart figure which shows the operation example at the time of presenting the factor which concerns on Embodiment 1, and a countermeasure. FIG. 6 is a diagram illustrating an example of an index related to productivity according to the first embodiment. The figure which shows the example of the factor information database which concerns on Embodiment 1. FIG. The figure which shows the example which shows the factor which concerns on Embodiment 1, and a countermeasure. The flowchart figure which shows the operation example at the time of registering the factor which concerns on Embodiment 1, and a countermeasure in a factor information database. FIG. 3 is a flowchart showing an operation example involving mode switching according to the first embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description of the embodiments and drawings, the same reference numerals denote the same or corresponding parts.

Embodiment 1 FIG.
***Overview***
In the present embodiment, it is assumed that productivity has decreased below a threshold value as a production problem in a factory. In the present embodiment, when the productivity falls below the threshold, the data processing apparatus requests a user (for example, a worker in a factory) to specify a method for dealing with the decline in productivity. The coping method specified by the user is registered in the database in association with the change in the collected data collected at the factory, which is related to the decrease in productivity.

FIG. 1 shows an outline of a processing procedure using the data processing apparatus according to the present embodiment.
In the present embodiment, as indicated by reference numeral 111, the data processing device generates an index relating to factory productivity. Then, the data processing apparatus analyzes the productivity index, and extracts changes in the collected data related to the decrease in productivity. Then, the data processing apparatus presents the change in the collected data to the user, and requests the user to specify a method for dealing with the decrease in productivity.
Specifically, as indicated by reference numeral 112, the problem occurrence time, occurrence location, content, and influence time are presented to the user, and a request is made for designation of a method for dealing with the decrease in productivity. “Problem occurrence time” is the time when productivity falls below a threshold. In the example of FIG. 1, it is shown that productivity fell below a threshold value at 9:15:30 on February 15, 2016. Further, “occurrence location” and “content” indicate changes in collected data related to a decrease in productivity. In the example of FIG. 1, in the collected data collected by “equipment A” in the factory, “the number of occurrences of error α increases” when productivity decreases.
The “influence time” is the time required from the time when productivity becomes less than the threshold to the time when the productivity exceeds the threshold.

The user designates a method for dealing with the decrease in productivity in the data processing apparatus. Note that the data processing apparatus may be able to use an electronic manual when a user specifies a countermeasure. For example, the data processing apparatus extracts items in which “Line 1 facility A” or “Error α” is described in an electronic manual, and presents the extracted items to the user. In the example of FIG. 1, the data processing apparatus extracts “5.4.2 Perform part b adjustment work” and the user does not manually input the countermeasure “Perform part b adjustment work”. A countermeasure is specified by quoting “5.4.2 Perform adjustment work for adjustment of part b”.
Then, the data processing apparatus changes the collected data observed when the productivity drops below the threshold (“equipment A”, “the number of occurrences of error α increases”), and a countermeasure ( “Adjust part b” is registered in the database.
As a result, as illustrated in FIG. 7, in the database, “change in the number of occurrences of the error α in the facility A” that is a change in data is associated with “the adjustment work for part b” is performed as a countermeasure. It is done. As shown in FIG. 7, when the cause of the problem is known by the user, the factor specified by the user is also associated with the data change and the countermeasure. FIG. 7 will be described later.

In addition, the data processing apparatus collects a countermeasure execution history (hereinafter also referred to as an operation history), and uses the time stamp to collect the collected execution history in association with a countermeasure and a change in the collected data. You may register with.
In FIG. 1, as indicated by reference numeral 114, “Adjustment of parts b” and “Restart of equipment A” are performed in the equipment A. The data processing apparatus uses the operation time and contents indicated by reference numeral 114 to change the collected data ("equipment A", "increased number of occurrences of error α") and the countermeasure specified by the user ("adjustment of part b"). The work may be registered in the database in association with “

The above procedure makes it easy to store what the workers have done in their daily work in the database as combination information, and as a result, even inexperienced workers can solve problems in the same way as experienced workers. It becomes.

In the above, the data processing apparatus requests only the user to specify the countermeasure, but may request the user to specify the factor of the productivity decrease. When the user designates the factor of productivity reduction, as shown in FIG. 7, the factor designated by the user is registered in the database in association with the countermeasure and the change in the collected data. In addition, the operation history may be registered in the database in association with factors, countermeasures, and changes in collected data.

*** Explanation of configuration ***
FIG. 2 shows a system configuration example including the data processing apparatus 100 according to the present embodiment.

The data processing apparatus 100 generates an index related to productivity in the factory line 300 and analyzes the index related to productivity. Then, when the productivity falls below the threshold, the database is searched based on the collected data change observed when the productivity falls below the threshold, and is correlated with the observed collected data change. Present the cause and the countermeasures.
Further, when the corresponding factor and the countermeasure are not registered in the database, the data processing apparatus 100 requests the user to specify the factor of the decrease in productivity and the countermeasure as shown in FIG. Then, the factor designated by the user and the countermeasure are registered in the database in association with the change in the collected data.
The operation performed by the data processing apparatus 100 corresponds to a data processing method.

The factory line 300 includes equipment 301 to equipment 305. In FIG. 2, the number of facilities is five, but there is no restriction on the number of facilities. Each facility is connected to the network 401, and the operation data (error information, etc.) of the facility and the time stamp generated by the sensor when the product passes between the facilities are accumulated in the collected data server device 200 as collected data. The The product is an article distributed on the factory line 300. Products include semi-finished products, finished products, and parts.
The collected data server device 200 is connected to the data processing device 100 via the network 402.

FIG. 3 shows a hardware configuration example of the data processing apparatus 100. FIG. 4 shows a functional configuration example of the data processing apparatus 100.
First, a hardware configuration example of the data processing apparatus 100 will be described with reference to FIG.

The data processing device 100 is a computer that includes a processor 11, a memory 12, a storage 13, a communication device 14, an input device 15, and a display device 16 connected to a bus.
The processor 11 is a CPU (Central Processing Unit) that executes a program. The processor 11 executes a program that realizes the functions of the communication processing unit 101, the productivity management unit 103, the factor analysis unit 105, the display processing unit 107, the factor information addition unit 108, and the input processing unit 109 shown in FIG. These programs are stored in the storage 13. These programs are loaded into the memory 12 and sequentially executed by the processor 11.
A program for realizing the display processing unit 107 and the factor information adding unit 108 corresponds to a data processing program.
FIG. 3 schematically shows a state where the processor 11 is executing a program.
Further, the storage 13 implements the collection database 102, the productivity database 104, the factor information database 106, and the manual database 110 shown in FIG.
The memory 12 is, for example, a RAM (Random Access Memory).
The storage 13 is, for example, a flash memory, an HDD (Hard Disk Drive), or the like.
The communication device 14 is, for example, a communication board.
The input device 15 is, for example, a mouse or a keyboard.
The display device 16 is, for example, a display.

With reference to FIG. 4, a functional configuration example of the data processing apparatus 100 will be described.
In addition, the solid line of the arrow of FIG. 4 represents the calling relationship, and the broken line arrow represents the flow of data between the processing module and the database.

The communication processing unit 101 receives collected data from the collected data server device 200 via the communication device 14 and stores the received collected data in the collected database 102. Collected data includes, for example, equipment operation data (error information, process wait time, etc.), product passage data (including the passage time of each product at a specific point on the production line), equipment operation history, and power data. It is.
Note that the communication processing unit 101 receives collected data from the collected data server device 200 in real time as much as possible, and stores the received collected data in the collected database 102.

The productivity management unit 103 uses the collected data stored in the collection database 102 to calculate an index related to productivity, and stores the calculated index in the productivity database 104.
For example, the productivity management unit 103 calculates the production amount per hour from the passing data of the product by the sensor as an index relating to productivity.

The factor analysis unit 105 monitors the productivity index stored in the productivity database 104. Then, the factor analysis unit 105 detects a change in the collected data from the collection database 102 when the productivity falls below the threshold value. After that, the factor analysis unit 105 acquires the factor and the countermeasure from the factor information database 106 using the detected change in the collected data as a key. Then, the factor analysis unit 105 instructs the display processing unit 107 to display the acquired factor and the countermeasure.
Alternatively, the factor analysis unit 105 instructs the factor information addition unit 108 to add a set of factors, countermeasures, and collected data changes.

The factor information database 106 stores the following three types of information in association with each other.
・ Changes in collected data (Example: Increase in the number of occurrences of error α in facility A, decrease in humidity near facility B, etc.)
・ Factors of productivity decline ・ How to deal with productivity decline

The display processing unit 107 presents display information to the user via the display device 16.
More specifically, the display processing unit 107 outputs to the display device 16 display information indicating the factors acquired by the factor analysis unit 105 and the countermeasures.
Further, the display processing unit 107 outputs to the display device 16 display information for requesting the user to specify the cause of the decrease in productivity and the countermeasure. Further, the display processing unit 107 outputs display information indicating the digitized manual items extracted by the factor information adding unit 108 to the display device 16.

The factor information adding unit 108 designates the factor of the decrease in productivity and the countermeasure method via the display processing unit 107 based on an instruction from the factor analysis unit 105 when the productivity in the factory falls below the threshold value. To the user. As illustrated in FIG. 1, the factor information adding unit 108 may present a change in the collected data to the user via the display processing unit 107 when requesting the user to specify a factor and a countermeasure. In addition, the factor information adding unit 108 may make it possible to use an electronic manual when a user specifies a factor and a countermeasure.
In addition, the factor information adding unit 108 registers the factor and the countermeasure specified by the user in the factor information database 106 in association with the change in the collected data observed when the productivity decreases.
The factor information adding unit 108 corresponds to a designation request unit and a database registration unit. The operations performed by the factor information adding unit 108 correspond to a designation request process and a database registration process.

The input processing unit 109 receives input from the user by the input device 15.

*** Explanation of operation ***
Next, the operation of the data processing apparatus 100 according to the present embodiment will be described.
In the following, first, an operation in which the data processing apparatus 100 presents factors and countermeasures to the user when the productivity falls below the threshold will be described. Next, an operation in which the data processing apparatus 100 requests the user to specify a factor and a countermeasure and registers the factor and the countermeasure specified by the user in the factor information database 106 will be described.

FIG. 5 is a flowchart showing an operation in which the data processing apparatus 100 presents factors and countermeasures to the user.

First, the communication processing unit 101 receives collected data from the collected data server device 200 via the communication device 14, and stores the received collected data in the collected database 102 (step S101).
For example, the communication processing unit 101 receives the following collected data. Note that the communication processing unit 101 receives collected data from the collected data server device 200 in real time as much as possible, and stores the received collected data in the collected database 102.
-Equipment operation data (error information, process waiting time, etc.)
・ Product passage data by sensor (including the passage time of each product at a specific point on the production line)
・ Operation history of equipment ・ Power data

Next, the productivity management unit 103 uses the collected data of the collection database 102 to calculate an index related to productivity, and stores the calculation result in the productivity database 104 (S102).
The productivity management unit 103 uses, for example, the product passage data from the sensor as the productivity index, and calculates the number of productions per hour (the number of productions within a certain time such as 1 minute, 10 minutes, 1 hour). To do.
In the productivity database 104, productivity-related indexes are managed in time series as illustrated in FIG.

The factor analysis unit 105 monitors the productivity-related index stored in the productivity database 104. When the productivity-related index falls below the threshold, the factor analysis unit 105 performs the production in the collected data stored in the collection database 102. A change related to the decline in sex is detected (step S103). For example, the factor analysis unit 105 detects a change observed for 5 minutes immediately before the time when the productivity falls below the threshold (step S103).
More specifically, the factor analysis unit 105 evaluates the degree of contribution to an index related to productivity as in paragraphs 0047 and 0048 of Patent Document 3 (Japanese Patent Application Laid-Open No. 2015-152933) to reduce productivity. It is conceivable to detect changes in related collected data.

Next, the factor analysis unit 105 acquires a factor and a countermeasure from the factor information database 106 using the change in the collected data detected in step S103 as a key (step S104). Then, the factor analysis unit 105 instructs the display processing unit 107 to display the acquisition result.
If the factor analysis unit 105 cannot acquire the factor and the countermeasure from the factor information database 106, the data processing apparatus 100 ends the process. Alternatively, the factor analysis unit 105 may instruct the display processing unit 107 only to display the detected change in the collected data.
FIG. 7 shows an operation example of the factor analysis unit 105. In FIG. 7, it is assumed that “the number of occurrences of the error α of the facility A is increased” is obtained as the change in the collected data in step S103. The factor analysis unit 105 searches the factor information database 106 using “the number of occurrences of the error α of the facility A is increased” as a key, and the factor associated with “the number of occurrences of the error α of the facility A is increased”. Get a workaround. In the example of FIG. 7, the factor analysis unit 105 acquires “Frequent errors due to deterioration of part b of facility A” as a factor, and “executes adjustment of part b” as a countermeasure.

Next, the display processing unit 107 presents to the user display information in which the factors acquired in step S104 and the countermeasures are described (step S105).
For example, the display processing unit 107 presents the display information illustrated in FIG. 8 to the user.

FIG. 9 is a flowchart showing an operation in which the data processing apparatus 100 requests the user to specify a factor and a countermeasure, and registers the factor and the countermeasure specified by the user in the factor information database 106.

In step S103, when the factor analysis unit 105 detects a change in the collected data related to the decrease in productivity, the factor analysis unit 105 adds a record to the factor information database 106 for the detected change in the collected data. The factor information adding unit 108 is instructed (S111).

The factor information adding unit 108 requests the user to specify a factor and a countermeasure via the display processing unit 107 (step S112).
At this time, the factor information adding unit 108 may present the digitized manual of the manual database 110 to the user via the display processing unit 107. For example, the factor information adding unit 108 edits each item such as a chapter, section, item, and table of an electronic manual or electronic procedure manual so that the user can select it. Specifically, the factor information adding unit 108 deals with factors related to changes in the collected data detected in step S103 from items such as chapters, sections, items, and tables in an electronic manual or electronic procedure manual. Extract the law. Then, the factor information adding unit 108 presents the extracted factor and countermeasure list to the user via the display processing unit 107.
If a plurality of changes in the collected data are detected in step S103 in FIG. 5, the user may be allowed to specify which change is correct in step S113. By doing in this way, the precision of factor detection can be raised. However, this work is not essential because it increases the time and effort of the user.
Further, as a further input means, the production facility itself has a function of displaying a plurality of options for solving the trouble from the trouble state through the user interface of the production facility. The user inputs the content of the countermeasure according to the guidance by the function. The factor information adding unit 108 of the data processing apparatus 100 can also synchronize the input contents of the work contents as the procedures of step S112 and step S113. That is, the selection operation can be performed in parallel with the troubleshooting operation.

For example, the user designates a factor and a countermeasure by using the input device 15 at the time when the handling of the trouble that caused the decrease in productivity is completed (step S113).
As described above, when a list of factors and countermeasures extracted from an electronic manual or electronic procedure manual is presented, the user designates factors or countermeasures from the list by, for example, a click operation. In this way, by using an electronic manual or the like, it is possible to save the user from manually inputting factors or countermeasures.
If the factor is unknown, the user may not specify the factor.

Finally, the factor information adding unit 108 adds to the factor information database 106 a record in which the factor and countermeasures specified by the user and the change in the collected data detected in step S103 in FIG. S114).
In step S113, when the user specifies a factor or countermeasure from the list by a click operation, the factor information adding unit 108 generates a link to the factor or countermeasure specified by the user. The record describing the change in the collected data detected in step S103 is added to the factor information database 106.
Further, as illustrated in FIG. 1, the factor information adding unit 108 may acquire an implementation history (operation history) of countermeasures for the equipment from the collection database 102. Then, the factor information adding unit 108 may add an operation history to a record in which a factor, a countermeasure, and a change in collected data are described. Also regarding this operation history, the factor information adding unit 108 may allow the user to check whether the operation history is correct. By doing in this way, the precision of a countermeasure can be raised. However, this work is not essential because it increases the time and effort of the user.

FIG. 10 is a flowchart obtained by integrating the flowchart of FIG. 5 and the flowchart of FIG.
Steps S101 to S105 are the same as those shown in FIG.
Steps S111 to S114 are the same as those shown in FIG.
In step S115, the factor analysis unit 105 selects an operation mode. Specifically, the factor analysis unit 105 determines whether or not the change in the collected data detected in step S103 is registered in the factor information database 106. When the change of the collected data is registered in the factor information database 106, the process after step S104 in FIG. 5 is selected as the student mode. On the other hand, when the change of the collected data is not registered in the factor information database 106, the factor analysis unit 105 selects the processing after step S111 in FIG. 9 as the teacher mode.

In the above, in step S103 of FIG. 5 and FIG. 10, the process after step S104 or the process after step S115 is performed with the trigger “the productivity index has decreased below the threshold”. The process after step S104 or the process after step S115 may be performed with the occurrence of the problem as exemplified in FIG.
・ When equipment operation is carried out (Example: equipment shutdown operation is carried out)
-When the equipment issues an event (Example: The equipment issues an event that stops due to out of parts)
-When a stop of equipment is detected from the power data (Example: The power consumption (current) value of the equipment falls below the threshold)

It should be noted that due to the unbalanced processing time of each facility on the production line, it is conceivable that a process wait occurs and the facility stops. In such a case, it is considered that there is no problem in the stopped equipment itself, so it is possible to combine only information related to process waiting so that only a real problem can be handled as a trigger.

Also, for equipment with a lot of movement such as machine tools, the situation of the equipment may be acquired as an image using a camera, and only the image of the peripheral time of the trigger as described above may be left. By doing in this way, the situation (factor) when the problem occurs and the physical countermeasure for the problem can be left as an image.

*** Effect of the embodiment ***
In the present embodiment, when a production problem occurs, the user is requested to designate a method for dealing with the problem. Then, the countermeasure specified by the user is registered in the database in association with the change in the collected data related to the problem. For this reason, according to this invention, the change of the collection data relevant to the problem which generate | occur | produced and the coping method to a problem can be efficiently accumulate | stored for every factory.

*** Explanation of hardware configuration ***
Finally, a supplementary description of the hardware configuration of the data processing apparatus 100 will be given.
The storage 13 includes functions of a communication processing unit 101, a productivity management unit 103, a factor analysis unit 105, an indication processing unit 107, a factor information addition unit 108, and an input processing unit 109 (hereinafter collectively referred to as “unit”). In addition to a program for realizing the above, an OS (Operating System) is also stored.
At least a part of the OS is executed by the processor 11.
The processor 11 executes a program for realizing the function of “unit” while executing at least a part of the OS.
Although one processor is illustrated in FIG. 3, the data processing apparatus 100 may include a plurality of processors.
In addition, information, data, signal values, and variable values indicating the result of the processing of “unit” are stored in the memory 12, the storage 13, a register in the processor 11, or a cache memory.
The program for realizing the function of “unit” may be stored in a portable storage medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD.

In addition, “part” may be read as “circuit” or “process” or “procedure” or “processing”.
The data processing apparatus 100 may be realized by an electronic circuit such as a logic IC (Integrated Circuit), a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array).
In this case, each “unit” is realized as part of an electronic circuit.
The processor and the electronic circuit are also collectively referred to as a processing circuit.

11 processor, 12 memory, 13 storage, 14 communication device, 15 input device, 16 display device, 100 data processing device, 101 communication processing unit, 102 collection database, 103 productivity management unit, 104 productivity database, 105 factor analysis unit 106 factor information database, 107 display processing unit, 108 factor information addition unit, 109 input processing unit, 110 manual database, 200 collection data server device, 300 factory line, 301 facility, 302 facility, 303 facility, 304 facility, 305 facility 401 network, 402 network.

Claims

When a production problem occurs in the factory, a designation requesting unit that requests the user to designate a countermeasure for the problem;
Data having a database registration unit for registering a coping method designated by the user in response to a request from the designation request unit in a database in association with a change in the collected data collected at the factory related to the problem Processing equipment.
The designation request unit
Ask the user to specify the cause of the problem,
The database registration unit
The factor specified by the user in response to a request from the specification requesting unit is registered in the database in association with the countermeasure specified by the user and a change in the collected data. Data processing device.
The designation request unit
The data processing apparatus according to claim 1, wherein a change in the collected data is presented to the user when requesting the user to specify the countermeasure.
The designation request unit
The data processing apparatus according to claim 1, wherein an electronic manual can be used when the user specifies the countermeasure.
The database registration unit
The data processing apparatus according to claim 1, wherein the implementation history of the countermeasure is registered in the database in association with the countermeasure and a change in the collected data.
The designation request unit
The data processing apparatus according to claim 1, wherein when the productivity in the factory decreases below a threshold, the user is requested to specify a countermeasure for the decrease in productivity.
When a computer encounters a production problem in the factory, it asks the user to specify how to deal with the problem,
A data processing method in which the computer registers a processing method designated by the user in response to a request in a database in association with a change in collected data collected at the factory related to the problem.
A specification request process for requesting the user to specify a method for dealing with the problem when a production problem occurs in the factory;
A database registration process for registering a countermeasure specified by the user in response to the request for the designation request process in a database in association with a change in the collected data collected at the factory related to the problem. Data processing program to be executed.