WO2020080116A1 - Operator selection system, operator selection method, and operator selection computer program - Google Patents

Operator selection system, operator selection method, and operator selection computer program Download PDF

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Publication number
WO2020080116A1
WO2020080116A1 PCT/JP2019/038980 JP2019038980W WO2020080116A1 WO 2020080116 A1 WO2020080116 A1 WO 2020080116A1 JP 2019038980 W JP2019038980 W JP 2019038980W WO 2020080116 A1 WO2020080116 A1 WO 2020080116A1
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WO
WIPO (PCT)
Prior art keywords
worker
work
work skill
workers
skill
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PCT/JP2019/038980
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French (fr)
Japanese (ja)
Inventor
祐樹 矢野
拓也 ▲徳▼岡
Original Assignee
日東電工株式会社
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Application filed by 日東電工株式会社 filed Critical 日東電工株式会社
Priority to KR1020207019807A priority Critical patent/KR102265559B1/en
Priority to CN201980026812.4A priority patent/CN111989701B/en
Publication of WO2020080116A1 publication Critical patent/WO2020080116A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063112Skill-based matching of a person or a group to a task
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063116Schedule adjustment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/105Human resources
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to a system for automatically selecting a worker corresponding to a required work in equipment, and more specifically, a worker who should handle the work based on work skill information of a plurality of workers.
  • a system for selecting workers automatically.
  • Patent Document 1 is proposed as a technique proposed from the viewpoint of automatically selecting a worker to handle the work when some work to be performed in the facility is required and providing appropriate training to the worker.
  • Patent Document 4 relates to a worker education system for educating workers in a short period of time in planning a production line and appropriately allocating workers having appropriate skill levels to the line. This system searches for workers with an appropriate skill level based on the skill that indicates the standardized proficiency level for each work process on the production line, places them on the line, and determines the skill rank of each worker. You can then carry out training when you need it. Training is based on a schedule provided by educational tools and systems that allow workers to self-learn.
  • Patent Document 2 reflects the skill level of the worker, the arrangement status of the worker in the work process, and the educational achievement of the worker in real time, and by enabling these data to be grasped in a unified manner, the production efficiency can be improved.
  • the present invention relates to a support system capable of improving and supporting a training plan for workers.
  • the skill level of the worker is evaluated from the manufacturing record and the educational record, and the personnel is assigned in consideration of the skill level.
  • the system extracts any workers who have not reached the skill level and creates an education plan for the workers.
  • Education for low-skilled workers is planned for non-working hours that are not allocated to work processes.
  • Patent Document 3 is capable of automatically extracting an appropriate worker in a product manufacturing line so that the worker can perform the work, and at the same time, having the worker receive an appropriate education at an appropriate time. It is related to the system to improve the skill of workers. In this system, when a new work is performed, based on the processing level including one of accuracy and speed when the worker engages in the work and the performance level of the test the worker took, It is possible to select a worker who has an appropriate skill to engage in the work.
  • Patent Document 4 relates to a system that allows workers to be assigned to projects in consideration of changes in the skills of workers when creating project execution plans for maintenance work and engineering work.
  • the worker is calculated based on the standard estimated work time according to the skill level of the worker for each work in the workflow that constitutes the project and the actual work time of the worker in charge of each work that has already been performed. It is possible to calculate and update the current skill level of, and calculate the estimated work time of each work based on the updated skill level of the worker assigned to each work.
  • Patent Documents 1 to 4 The system constructed based on the idea proposed in Patent Documents 1 to 4 should appropriately perform the work based on the skill of each worker when the work requiring the handling occurs in the equipment. It is intended to automatically select a worker who can do the work.
  • workers are selected by these systems when work occurs, for example, new workers are always assigned to simple work, and veteran workers are always assigned to difficult work.
  • new workers are always assigned to simple work, and veteran workers are always assigned to difficult work.
  • multiple operators work in teams to operate equipment, but if the skills of low-skilled workers do not improve, the equipment operation skills of the entire team cannot be expected to improve. It becomes difficult to further improve the efficiency of product production.
  • the present invention makes it possible to improve the skills of low-skill workers at an early stage and also improve the skills of the entire team consisting of multiple workers involved in the operation of equipment.
  • the purpose is to provide an automatic worker selection system for equipment.
  • a worker selection system for automatically selecting a worker corresponding to a required work in a facility from a plurality of workers.
  • the worker selection system corresponds to work, which is work information that is information about necessary work in the facility, worker information that includes information about a plurality of workers and information about work that each worker has performed in the past.
  • a storage unit that stores work skill information that is information about work skills of a plurality of workers for the work.
  • the storage unit can also store the production related information of the articles produced by the facility.
  • the worker selection system includes a work skill variation calculation unit, a work skill determination unit, a worker selection unit, and an information updating unit.
  • the work skill variation calculation unit acquires work information, worker information, and work skill information from the storage unit when a work that needs to be handled occurs, and the work skill variation calculation unit obtains the work skill variation of a plurality of workers for the work. Find the size.
  • the work skill determination unit extracts the worker having the lowest work skill when the variation is equal to or larger than a predetermined standard, and the worker having the highest work skill when the variation is smaller than the predetermined standard. To extract.
  • the worker selecting unit selects the extracted worker as a worker who responds to the work, and outputs worker information of the worker.
  • the information updating unit updates one or a combination of the work information, the worker information, and the worker skill information in the storage unit, based on the result of the work performed by the corresponding worker selected by the worker selecting unit. To do.
  • the worker selection system acquires the production-related information from the storage unit, and calculates the allowable time for which the production plan can be achieved even when the operation of the equipment is stopped to perform the work.
  • a time calculation unit and a work completion possibility determination unit that determines whether the worker extracted by the work skill determination unit can complete the work within the allowable time may be provided.
  • the worker selection system obtains a change in past work skill of the worker for the worker extracted by the work skill determination unit and determines a work skill improvement possibility based on the change. It is also possible to further include a skill improvement possibility determination unit.
  • the worker selection system determines whether or not there is a worker who has no experience in performing the work among the plurality of workers, and if there is the worker, the worker has a temporary work skill for the work. It is also possible to further include a work inexperienced person determination unit for setting.
  • the second aspect of the present invention provides a worker selection method for automatically selecting a worker corresponding to a required work in a facility from a plurality of workers.
  • a computer program executable on a computer system which includes instructions for causing the computer system to execute each step of the worker selection method.
  • the work skills of low-skilled workers can be improved early on, but also high-skilled workers can further improve the work skills of various works required in equipment. Further, it is possible to improve the work skills of the entire work team including a plurality of workers who operate the equipment.
  • FIG. 1 is a diagram showing a schematic hardware configuration example of a worker selection system according to an embodiment of the present invention.
  • the example of the work information regarding the required work in the equipment used in the work classification judgment is shown.
  • An example is shown in which the skill level value is weighted and totaled to be the work skill.
  • An example of variations in work skills among multiple workers is shown.
  • An example of a pattern for selecting one of a low-skill worker and a high-skill worker according to the degree of variation in work skill is shown.
  • FIG. 1 is a diagram showing a schematic hardware configuration example of a worker selection system according to an embodiment of the present invention.
  • the example of the work information regarding the required work in the equipment used in the work classification judgment is shown.
  • An example is shown in which the skill level value is weighted and totaled to be
  • FIG. 1 is a block diagram showing a schematic configuration of a worker selection system 100 according to an embodiment of the present invention.
  • the worker selection system 100 receives a notification (work occurrence notification) that a work requiring handling has occurred in the equipment P, and outputs information on a worker who should handle the work (corresponding worker information). And includes a functional unit that executes various judgments and calculations based on the information of the work occurrence notification, and a storage unit that stores various information used for executing the function.
  • the worker selection system 100 includes a work information storage unit 102, a worker information storage unit 104, a work skill information storage unit 106, and a production related information storage unit 108.
  • the work information storage unit 102 stores information about necessary work in the facility.
  • the worker information storage unit 104 stores information about the worker and information about the past work of the worker.
  • the work skill information storage unit 106 stores information about the work skill of each worker corresponding to the work that occurs in the facility.
  • the production-related information storage unit 108 stores production-related information of articles produced by the equipment.
  • the work information, worker information, work skill information, and production-related information do not have to be physically aggregated.
  • the data corresponding to the work skill information and the data corresponding to the worker information are mixed and are not limited to being collectively stored in any of the hardware.
  • the work information may be stored in a distributed manner in the wear, and in that case, the area in which data corresponding to the worker information other than the work skill information is stored corresponds to the work information storage unit 104. An area in which data corresponding to is stored corresponds to the work skill information storage unit 106.
  • the work information stored in the work information storage unit 102 is information regarding necessary work in the facility, and can be information as shown in FIG. 4, for example.
  • the information shown in FIG. 4 includes, for example, the state of the equipment, the cause of the state, the basis for determining the work required to respond to the state of the equipment, the content of the required work, the time required for the work, and the work. It is a table that includes the timing to perform.
  • the worker information stored in the worker information storage unit 104 includes information on a worker who can engage in necessary work in the facility and information on the past work of the worker.
  • the worker information includes, for example, the name of the worker, the ID number, the department to which the worker belongs, the details of the work performed by the worker in the past, the time required to respond to the work, the date and time when the work was performed, It includes the results of the work done.
  • the work skill information stored in the work skill information storage unit 106 includes information about the work skill of each worker corresponding to the work that occurs in the facility. Examples of work skills will be described later.
  • the production-related information of the article stored in the production-related information storage unit 108 includes, for example, the production capacity of the device, the production plan of the article (production amount, number of production days, production deadline, production safety level, production margin, etc.), article Can be the production record of
  • the worker selection system 100 preferably further includes a sensing data storage unit 109 that stores sensing data from a sensor or the like that monitors the state of each part of the facility P.
  • the sensing data is used together with work information, for example, and can be used as data for determining necessary work.
  • the worker selection system 100 includes a work classification unit 110, a work inexperienced person determination unit 112, a work skill variation calculation unit 114, a work skill determination unit 116, a work allowable time calculation unit 118, and work completion. It may include a sex determination unit 120, a work skill improvement possibility determination unit 122, a worker selection unit 124, and an information updating unit 126. The function of each of the functional units 110 to 126 will be sequentially described below.
  • the storage units 102 to 109 may be configured as one hardware database or a distributed database.
  • each of the functional units 110 to 126 of the worker selection system 100 may be built in one computer hardware, or may be built in a plurality of distributed computer hardware, and each of the computer units. It may be configured so that the functions of the respective parts are exhibited by the cooperation of the hardware.
  • the worker selection system 100 can be used, for example, in an RTP type device to automatically select a worker corresponding to a work required when operating the device.
  • the RTP method is a normal sheet having no defects from a belt-shaped optical film laminate in which a plurality of sheet-shaped optical films are supported on a belt-shaped release film via an adhesive layer in a manufacturing process of a liquid crystal display device or the like. This is a method for continuously manufacturing a liquid crystal display device by sequentially peeling only the functional film together with the pressure-sensitive adhesive layer from the release film and adhering it to the rectangular panel via the pressure-sensitive adhesive layer.
  • a continuous manufacturing system for liquid crystal display devices that realizes such a method is distinguished from a device that realizes a conventional individual bonding method in which a sheet of an optical film that has been cut out in advance is bonded to a rectangular panel, and is referred to as “continuous bonding (RTP; ⁇ Panel) ”device.
  • FIG. 2 shows an exemplary computer hardware configuration of a worker selection system 100 according to an embodiment of the present invention.
  • the worker selection system 100 includes a central processing unit (CPU), a storage device such as a RAM, a ROM, a hard disk drive (HDD) that stores various programs and data executed by the central processing unit, and these devices mutually. It can be realized by using a general-purpose computer having a bus to be connected. Further, the worker selection system 100 includes a drive device for inputting / outputting data to / from an external recording medium such as a CD-ROM or a DVD-ROM, an input device such as a keyboard or a mouse, as necessary. An output device such as a CRT, a liquid crystal display or a printer may be connected to a communication interface for communicating with another computer or network.
  • CPU central processing unit
  • HDD hard disk drive
  • FIG. 3 shows a processing flow 300 executed by the worker selection system 100 to select a worker to perform a work.
  • the equipment P such as an RTP device
  • the equipment P notifies the worker selection system 100 that an event to be dealt with has occurred (S301).
  • the occurrence of an event to be dealt with in the facility P can be detected by various measuring instruments such as sensors attached to a plurality of locations in the facility P, for example.
  • the operator stops the operation of the device and the operator searches for the situation and Accordingly, for example, it is necessary to correct the bonding parameters and replace the feed roller.
  • the bonding position detection system detects an abnormality, and, for example, the bonding accuracy is deteriorated with respect to the worker selection system 100 from an information processing terminal having a function of collecting abnormality information in a unified manner. You will be notified that you have done it.
  • the worker selection system 100 When notified that an event to be handled has occurred, the worker selection system 100 stores the work information of the work related to the event and the information about the necessary work in the facility based on the notified information. Acquired from the work information storage unit 102. An example of the work information is as shown in FIG.
  • the work classification unit 110 of the worker selection system 100 performs work classification determination based on the acquired work information, and specifies the work content to be handled (S302).
  • the worker selection system 100 causes the work information storage unit 120 to cause the situation, a basis for determining necessary work, necessary work, and work. Acquire information such as the time required for work and the timing of work.
  • the cause of the accuracy deterioration is deterioration of the bonding roller, and the bonding roller has not been replaced for a certain period of time. Specifies that the required work is "replacement of the laminating roller".
  • the work classification unit 110 can also specify the time required for the work and the timing at which the work should be performed, if necessary.
  • the classification determination of the target work is automatically performed by the worker selection system 100, for example, by using a predetermined abnormality code or the data shown in FIG.
  • the operator judges the cause based on various sensing data, past experience, work manual, etc., specifies the necessary work, and selects the specified work content from the input section. It can also be done by giving to the system 100. Further, for example, when an event in which an abnormal code or the like is not set occurs, the worker selection system 100 may determine the work content by analogy with the information stored in the work information storage unit 120.
  • the worker selection system 100 is involved in the operation of the equipment P, and the worker information and the worker information about a plurality of workers who can handle the work.
  • Worker information including information on work performed in the past is acquired from the worker information storage unit 104 in which these pieces of information are stored.
  • the work inexperienced person determination unit 112 determines whether or not there is an inexperienced person for the work specified in S302 (S303). If there is no inexperienced person, the worker selection system 100 then stores work skill information, which is information about work skills corresponding to the work, based on the worker information of the plurality of workers. It is acquired from the created work skill information storage unit 106.
  • the work skill is the work performance capability of the worker who performs the work at the facility when some work related to the facility is required.
  • the index indicating the work skill is not particularly limited as long as it can represent the ability of the worker to perform the work, and various indexes can be considered.
  • the work skill is preferably a quantitative index, but may be a qualitative index. When a qualitative index is used as the work skill, it is preferable that the system can automatically use a value obtained by converting the index into some numerical value. In the worker selection system 100 according to the present invention, it is preferable to use a quantitative value representing the work performance of each worker as the work skill.
  • the average value of the time required for the work in the past when dealing with the work, the shortest work time of the time required when responding to the work in the past, the work performed in the past Numerical values such as the number of times and the moving distance / moving time when performing the work can be used.
  • FIG. 5 shows an example in which a value obtained by weighting skill level values and summing them is used as a work skill.
  • FIG. 5 shows the skills required to perform the work identified as requiring a response, using the skill level value given based on a separate evaluation (for example, a work training table) for each worker for each work.
  • the value obtained by weighting the respective skill level values from the combination of and summing or averaging is used as the work skill.
  • the skill of each worker is calculated based on the weights in the items of “RTP basics” and “quality abnormality treatment” in the work training table.
  • the work skill values of the worker A, the worker B, the worker C, and the worker D are 2.4, 3.3, 1.9, and 1.0, respectively. Therefore, the worker with the highest skill is the worker B, and the worker with the lowest skill is the worker D.
  • each worker uses the shortest work time among the work times required to deal with the work in the past as work skill.
  • the worker selection system 100 causes the work skill variation calculation unit 114 to perform the operation among the plurality of workers.
  • the size of the variation in work skills is calculated (S305).
  • the process (S304) when it is determined in S303 that there is an inexperienced person will be described later.
  • FIG. 6 is an example of the case of calculating the degree of variation in work skills among a plurality of workers.
  • the work skill variation calculation unit 114 acquires the shortest work time in the past work of all the workers. Of the acquired minimum work time, the difference (same (3)) between the shortest time ((1) in FIG. 6) and the longest time (same (2)) is obtained, and the difference is divided by the shortest work time (same (4). )), The size of the variation in the work skills of the workers A to E in the work is obtained. In the case of the example in FIG. 6, the magnitude of the variation in work skills is calculated as “2.0”.
  • the work skill determination unit 116 of the worker selection system 100 compares the size of the variation calculated by the work skill variation calculation unit 114 with a predetermined reference value regarding the size of the variation (S306). When it is determined that the degree of variation in work skills is equal to or greater than the predetermined reference, the work skill determination unit 116 extracts the worker having the lowest work skill (Yes in S306). On the other hand, when it is determined that the variation of the work skill is smaller than the predetermined reference, the work skill determination unit 116 extracts the worker having the highest work skill (No in S306).
  • FIG. 7 shows an example of a pattern in which either a low-skill worker or a high-skill worker is selected according to the degree of variation in work skills.
  • 7 (a) and 7 (b) are examples where the work to be handled is a simple work
  • FIGS. 7 (c) and 7 (d) are examples where the work to be handled are difficult.
  • FIG. 7A when there is a difference in the work level between the workers of the work at the time of starting the operation of the facility, an example will be described when a simple work to be performed (case of FIG. 7A).
  • the extracted workers are It becomes the worker E (that is, the low skill worker).
  • the variation of the work skill is calculated in the same manner, and the variation is 9.0. Since it was calculated as 2.0, the worker E is extracted in each case.
  • the predetermined standard is arbitrarily set, but as an example, the predetermined standard can be set according to the following concept. That is, when the predetermined criterion is 1.0 and the variation calculated in S305 is 1.0 or more, the working time of the high skill worker (shortest time) and the working time of the low skill worker (longest time) Since there will be a more than double difference with the time), the work skill of low skill workers will be improved. On the other hand, if the magnitude of the variation is less than 1.0, it is considered that there is no great difference in the work skills among the workers, and the skill of highly skilled workers is further improved.
  • the worker selecting unit 124 selects any worker as a corresponding worker corresponding to the work. Then, the worker information is output (S307 or S308).
  • the output worker information can be displayed on, for example, a portable information terminal held by each worker or a monitor provided in the facility P. The worker output to these information terminals performs necessary work in response to the event that occurred in the equipment P (S309).
  • the corresponding worker who performed the work or the manager thereof inputs work completion information including details of the work, work time, etc. from, for example, a portable information terminal or an input terminal provided in the facility P ( S310).
  • the information updating unit 126 of the worker selection system 100 acquires the input work completion information, any one of the work information, the worker information, and the work skill information stored in the storage unit, or these, is used by using this information.
  • the combination is updated as needed (S311).
  • the information updating unit 126 automatically acquires the start time and end time of the work, details of the work, and the like, and uses these information to store the work information, the worker information, and the work skill stored in the storage unit. Any of the information or a combination thereof may be updated.
  • the work skill variation calculation unit 114 uses the temporary work skill set in advance for the inexperienced person. It is acquired from the person information storage unit 104.
  • the information set as the temporary work skill can be set according to the index used as the work skill. For example, when the shortest work time of the time required to deal with the work in the past is used as the work skill, the temporary work skill of the inexperienced person is used by another worker in the past. It is possible to set the longest working time of the working time when performing. Alternatively, as the temporary work skill, it is possible to set the average value of the work time when another worker first performed the work in the past.
  • the temporary work skill of an inexperienced person can be set in advance as described above and stored as work skill information in the work skill information storage unit 106, but the worker selection system 100 automatically sets it. You can also For example, when the shortest time is used as the work skill, in response to the work inexperienced person determination unit 112 determining that there is an inexperienced person for the required work, the worker selection system 100 changes the worker information. It is possible to acquire the work time when another worker has performed the work in the past from the storage unit 104, compare the work times, set the longest work time as a temporary work skill, and store it in the work skill information storage unit 106. .
  • FIG. 8 shows a processing flow 800 in the case where the time allowed for work is taken into consideration in the worker selection processing.
  • parts different from the flow of FIG. 3 will be mainly described.
  • the allowable time that can achieve the required production plan even when the operation of the equipment P is stopped is compared with the working time required for the extracted worker to perform the work. Then, the worker determines whether or not the work can be completed within the allowable time, and the working time of the worker exceeds the allowable time (allowable stop time for performing the work). Try to extract another worker.
  • step S803 of the process flow 800 when it is determined that there is no inexperienced person for the work specified in S802, the work allowable time calculation unit 118 of the worker selection system 100 calculates the allowable time for the work ( S805).
  • the allowable time is not limited to be calculated at this time, and may be calculated after the worker having the lowest work skill is extracted in S808, for example.
  • Figure 9 shows an example of how to calculate the allowable time.
  • the horizontal axis represents time and the vertical axis represents the production amount of the article.
  • the certain stop time can be set as the “allowable time”. The allowable time can be made longer if the production record up to that time exceeds the production amount specified in the production plan when the work occurs.
  • the time calculated as the allowable time is, for example, how much the expected transition of the production amount after the work is restarted is set with respect to the transition of the production amount before the work is started, and how much the safety level of the production is expected. However, it will change depending on conditions such as how much margin the production plan has with respect to the production capacity of the facility.
  • the allowable time calculated based on the concept shown in FIG. 9 is passed to the work completion possibility determination unit 120, and the work completion possibility determination unit 120 performs the relevant work of the low skill worker extracted in S808.
  • the shortest working time and the allowable time are compared (S810). As a result of the comparison, when the shortest work time is shorter than the allowable time, the work completion possibility determination unit 120 determines that the low skill worker can complete the work, and the worker selection unit 124 The low skill worker is selected as a corresponding worker corresponding to the work.
  • the work completion possibility determination unit 120 causes the worker Then, it is judged that the work cannot be completed within the allowable time. In this case, the work skill determination unit 116 extracts the worker having the lowest work skill from among the workers other than the worker among the plurality of workers (S811, S812, S808). Similarly for this worker, the work completion possibility determination unit 120 compares the allowable time with the shortest work time.
  • the worker selecting unit 124 sets the work selection unit 124 to complete the work in the shortest possible time.
  • the worker having the shortest work time among all the workers is selected as a corresponding worker for the work (S813).
  • FIG. 10 shows a processing flow 1000 in the case of considering the possibility of improving the work skill of the worker in the worker selection process. In the following description, parts different from the flow of FIG. 3 will be mainly described.
  • the work skill improvement possibility determination unit 122 determines the work skill improvement possibility of the worker selected in step S1007.
  • the possibility of improving the work skill can be determined by, for example, obtaining a change in the work time of the work in the past by the worker (for example, the work time over a plurality of past works or the work time of the previous work). it can.
  • the work skill improvement possibility determination unit 122 acquires the past work times of the extracted worker a plurality of times from the work information storage unit 102, compares the work times, and shortens the work time each time the work is performed. If there is a tendency, it is determined that the work skill of the worker concerned can be improved.
  • the work skill improvement possibility determination unit 122 compares the extracted work times of the past multiple times of the worker, and if there is no tendency for the work time to be shortened for each work execution, the work skill improvement possibility It is determined that work skills cannot be improved. In this case, the work skill determination unit 116 extracts the worker having the lowest work skill from among the plurality of workers excluding the worker (S1010, S1011, S1007). Similarly, for this worker, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility.
  • the worker selecting unit 124 selects the worker having the highest work skill among all the workers. A corresponding worker corresponding to the work is selected (S1012).
  • FIG. 11 shows a processing flow 1100 in the case of considering both the work allowable time and the work skill improvement possibility in the worker selection processing. In the following description, parts different from the flow of FIG. 3 will be mainly described.
  • step S1103 of the process flow 1100 when it is determined that there is no inexperienced person for the work specified in S1102, the work allowable time calculation unit 118 of the worker selection system 100 calculates the work allowable time in S1105.
  • the work allowable time is not limited to be calculated at this time, and may be calculated after the worker having the lowest work skill is extracted in S1108, for example. The concept of calculating the work allowable time is described above in the description of the processing flow 800 of FIG.
  • step S1110 the work skill improvement possibility determination unit 122 determines the work skill improvement possibility of the worker selected in step S1108.
  • the work skill improvement possibility has been described above in the description of the processing flow 1000 in FIG. 10.
  • the work skill improvement possibility determination unit 122 acquires the past work times of the extracted worker a plurality of times from the work information storage unit 102, compares the work times, and shortens the work time each time the work is performed. If there is a tendency, it is determined that there is a high possibility that the worker will improve the work skill of the work.
  • step S1111 the work completion possibility determination unit 120 compares the shortest work time of the work with the work allowable time for the low skill worker determined to have a high possibility of improving the work skill in step S1110. .
  • the work completion possibility determination unit 120 determines that the low skill worker can complete the work, and the worker selection unit 124 determines , The low skill worker is selected as a corresponding worker corresponding to the work.
  • the work skill determination unit 116 of the plurality of workers, the worker having the lowest work skill is extracted from the other workers except the worker (S1112, S1113, S1108). Similarly, for this worker, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility, and the work completion possibility determination unit 120 determines the work completion possibility.
  • the work skill improvement possibility is determined in S1110 and the work completion possibility is determined in S1111 for the low skill worker extracted in S1108. The order may be reversed.
  • the worker selecting unit 124 sets the work to be completed in the shortest possible time. A worker having the shortest work time among all the workers is selected as a corresponding worker corresponding to the work (S1114).
  • FIG. 12 shows a specific example of work skill improvement when the worker selection processing flow 1110 shown in FIG. 11 is executed.
  • FIG. 12A is a specific example of improving work skills for a simple work (that is, a work in which the work time is relatively short), and
  • FIG. 12B shows a more complicated work (that is, a work”
  • This is a specific example of improvement of work skills for work that takes a relatively long time).
  • it is assumed that any one of the workers in the team consisting of the five workers A to E performs the work, and the shortest work time of the work is defined as the work skill.
  • the work time of the worker A or the worker B having the shortest work time (the initial set value is 5 minutes) and the work time of the worker E having the longest work time (the original work time)
  • the setting value is set to 15 minutes), and the magnitude of the work skill variation is calculated to be "2.0" as shown in the column (4). If the predetermined reference value is set to 1.0, the magnitude of the variation is equal to or larger than the predetermined reference value, and thus the worker E is extracted.
  • the shortest work time (15 minutes) is compared with the work allowable time (100 minutes) calculated based on the concept of FIG. 9, for example, the worker E is within the work allowable time.
  • the worker E (new employee) is selected here as the corresponding worker who performs the work. If the worker E finishes the work in 12 minutes as a result of performing the work, the shortest work time of the work of the worker E is updated to 12 minutes.
  • the second work it is determined that even the worker E having the longest work time, whose magnitude of variation is larger than the predetermined reference value, can finish the work within the work allowable time. It is judged that there is a possibility that the work skill may be improved because the first work was completed in a time (12 minutes) shorter than the initially set minimum work time (15 minutes). Selected as a response worker. Similarly, when the third and fourth work occurs, the worker D and the worker C are selected as corresponding workers, respectively.
  • the work skill of the worker A or the worker B having the shortest work time (5 minutes) and the work time of the longest worker E (9 minutes) are used.
  • the magnitude of the variation of is calculated.
  • the magnitude of the variation is “0.8”, which is a value smaller than the predetermined reference value. Therefore, the worker A or the worker B is extracted here. Since it is determined that these workers can finish the work within the shortest work time, the worker A or the worker B is selected as the worker who performs the work here. Note that it is desirable to follow the judgment result of the work skill improvement possibility as to which one of the worker A and the worker B is finally selected as the corresponding worker, but when the growth possibility is about the same (FIG. 12). In the example of (a), both past work time transitions are the same), and other arbitrary criteria can be used for selection. Here, it is assumed that the worker A (experienced worker) is selected as the corresponding worker.
  • the corresponding worker is also selected. In this way, by sequentially selecting the workers in the ten times of work, the skill of the worker E having low work skill is improved, and as a result, the skill of the entire team can be improved.
  • the size of the variation in work skills is calculated in the same manner as above. Since the magnitude of the variation is “0.7”, if the predetermined reference value is set to 1.0, the worker A having the highest work skill is extracted. The minimum work time of this worker is set to 60 minutes, which is shorter than the work allowable time of 95 minutes. Therefore, it is determined that this worker can finish the work in time, and the worker A (experienced worker) is the corresponding worker. Is selected as
  • the variation of the work skill is 1.0 or more, so the worker E having the lowest work skill is selected.
  • the minimum work time of the worker E is set to 100 minutes, which is longer than the work allowable time 95 minutes, it is determined that the worker E cannot finish the work within the work allowable time.
  • the worker D having the lowest work skill is selected as the corresponding worker (note that among the workers C and D, the work is performed).
  • the basis for selecting the person D can be based on arbitrary criteria). In the case where the third to seventh work occurs, the corresponding worker is similarly selected.
  • the variation is 0.9 and the minimum work time of the worker A is within the work allowable time. Therefore, the worker A should be extracted.
  • the worker A being selected as a worker corresponding to the seventh work and performing the work, there is no effect of shortening the work time, and thus it is determined that the work skill cannot be improved. Therefore, here, with respect to the remaining workers B to E, the degree of variation and the work completion possibility are determined, and as a result, the worker B is selected as the corresponding worker. In this way, by sequentially selecting the workers in the ten times of work, the work skills of not only the workers C to E who have low work skills but also the workers A and B are improved, and as a result, The skills of the entire team can also be improved.
  • the present invention not only can the work skills of low-skilled workers be improved at an early stage, but also the high-skilled workers can further improve the work skills of various works required in equipment. Can be made. Further, it is possible to improve the work skills of the entire work team including a plurality of workers who operate the equipment.

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Abstract

Provided is an automated operator selection system such that the skills of low-skilled operators can be promptly improved and the skills of an overall team formed from a plurality of operators can be improved. This operator selection system comprises a work skill variation computation unit, a work skill determination unit, an operator selection unit, an information update unit, and storage units which store various information. When a work operation arises for which a response is required, the work skill variation computation unit derives a degree of a variation in work skills in regard to the work operation among a plurality of operators. The work skill determination unit extracts the operator who has the weakest work skill level if the degree of the variation is greater than or equal to a prescribed reference, and extracts the operator who has the strongest work skill level if the degree of the variation is less than the prescribed reference. The operator selection unit selects the extracted operator as a responding operator to respond to the work operation. The information update unit updates the information in the storage units on the basis of the result of the work operation to which the responding operator has responded.

Description

作業者選定システム、作業者選定方法及び作業者選定コンピュータ・プログラムWorker selection system, worker selection method, and worker selection computer program
 本発明は、設備における必要な作業に対応する作業者を自動的に選定するためのシステムに関し、より具体的には、複数の作業者の作業スキル情報に基づいて当該作業に対応すべき作業者を自動的に選定する作業者選定システムに関する。 The present invention relates to a system for automatically selecting a worker corresponding to a required work in equipment, and more specifically, a worker who should handle the work based on work skill information of a plurality of workers. A system for selecting workers automatically.
 物品の生産設備においては、設備の運転時に、対応を必要とする種々の作業が発生する場合がある。対応を必要とする作業として、物品の生産を停止することなく行うことができる作業だけでなく、生産を停止しなければ行うことができない作業がある。対応を必要とする作業が発生した場合には、その作業の発生箇所を探索し、発生原因を調査し、作業を行うための対策を講じなければならない。対応を必要とする作業の中でも、物品の生産を停止しなければならない作業、例えば設備に生じたトラブルを解決するための作業や材料の交換及び補充のための作業などが発生した場合に、作業終了までの時間が長いと、物品の生産が計画どおりに行われず、必要な期日までに必要な量及び質の物品を生産できなくなったり、生産計画を達成するために設備及び作業者の稼働に無理が生じたりするおそれがある。 In the production facility of goods, various operations that need to be handled may occur during the operation of the facility. The work that needs to be dealt with is not only the work that can be performed without stopping the production of the article, but also the work that cannot be performed without stopping the production. When work that requires a response occurs, the location of the work must be searched, the cause of the work must be investigated, and measures must be taken to carry out the work. Among the work that requires measures, work that requires the production of goods to be stopped, for example, work to solve problems that occur in equipment, work to replace or replenish materials, etc. If the time to finish is long, the production of goods will not be carried out as planned, it will not be possible to produce the quantity and quality of goods required by the required date, and equipment and workers will not operate to achieve the production plan. There is a risk of overwork.
 物品の生産設備においては、複数の作業者がチームを組んで設備の運転を行うことが多い。複数の作業者からなるチームにおいては、通常、設備の運転に必要となる作業について高いスキルを有するベテラン作業者から、経験の乏しい低スキルの新人作業者までが、バランスよく配置される。同じ作業でも、ベテラン作業者であれば短時間かつ高精度で終えることができるものであっても、新人作業者の場合には時間がかかったり精度が低い作業結果となったりする場合が多い。また、同じ作業者でも、習熟している作業もあれば、経験の乏しい作業もある。設備において対応を要する作業が発生した場合に、その作業に対応させる作業者は、種々の状況を勘案して選定される。例えば、短時間で対応可能となるような簡単な作業であれば、新人作業者やその作業に対するスキルの低い作業者に対応させ、長時間の対応が必要な難しい作業には、その作業に対するスキルの高いベテラン作業者に対応させるといった対応が考えられる。 In the production facility of goods, multiple workers often form a team to operate the facility. In a team consisting of a plurality of workers, normally, experienced workers who have high skills in operations required to operate equipment, to low-skilled new workers who have little experience are arranged in a well-balanced manner. Even if the same work can be completed by a veteran worker in a short time and with high precision, a new worker often takes time or has low precision. Further, even the same worker has some work that he or she is familiar with, and some work that has little experience. When a work that requires handling occurs in equipment, a worker who handles the work is selected in consideration of various situations. For example, if it is a simple task that can be dealt with in a short time, it is suitable for new workers and workers with low skills for that task, and for difficult tasks that require long-term support, skills for that task are required. It is conceivable to deal with highly experienced workers.
 設備において対応すべき何らかの作業が必要となった場合に、当該作業に対応させる作業者を自動的に選定するとともに、作業者に適正な教育を施すという観点で提案された技術として、特許文献1~特許文献4に開示されたものがある。
 特許文献1は、生産ラインの計画にあたり、作業者を短期間で教育し、適正な技能レベルを持った作業者を適正にラインに配置できるようにするための作業者教育システムに関する。このシステムでは、生産ラインの作業工程ごとに標準化された習熟度を示すスキルに基づいて、適正な技能レベルを持った作業者を検索し、ラインに配置するともに、各作業者の技能ランクを判定して必要なときにトレーニングを実施することができる。トレーニングは、作業者自身が自己学習できる教育ツールやシステムによって提供されたスケジュールに基づいて行われる。
Patent Document 1 is proposed as a technique proposed from the viewpoint of automatically selecting a worker to handle the work when some work to be performed in the facility is required and providing appropriate training to the worker. There is one disclosed in Patent Document 4.
Patent Document 1 relates to a worker education system for educating workers in a short period of time in planning a production line and appropriately allocating workers having appropriate skill levels to the line. This system searches for workers with an appropriate skill level based on the skill that indicates the standardized proficiency level for each work process on the production line, places them on the line, and determines the skill rank of each worker. You can then carry out training when you need it. Training is based on a schedule provided by educational tools and systems that allow workers to self-learn.
 特許文献2は、作業者のスキルレベル、作業工程への作業者の配置状況、作業者の教育実績をリアルタイムに反映させ、これらのデータを一元的に把握できるようにすることにより、生産効率の向上や、作業者の育成計画支援を行うことができる支援システムに関する。このシステムでは、製造実績及び教育実績から作業者のスキルレベルが評価され、スキルレベルを考慮して人員配置が行われる。システムは、スキルレベルに達していない作業者がいれば抽出し、当該作業者の教育計画を作成する。低スキルの作業者に対する教育は、作業工程に割り当てられない非稼働時間行われるように計画される。 Patent Document 2 reflects the skill level of the worker, the arrangement status of the worker in the work process, and the educational achievement of the worker in real time, and by enabling these data to be grasped in a unified manner, the production efficiency can be improved. The present invention relates to a support system capable of improving and supporting a training plan for workers. In this system, the skill level of the worker is evaluated from the manufacturing record and the educational record, and the personnel is assigned in consideration of the skill level. The system extracts any workers who have not reached the skill level and creates an education plan for the workers. Education for low-skilled workers is planned for non-working hours that are not allocated to work processes.
 特許文献3は、製品の製造ラインにおいて、適切な作業者を自動的に抽出して作業を行わせることができるようにするとともに、作業者に対して適切な時期に適切な教育を受けさせることにより作業者のスキル向上を図るシステムに関する。このシステムでは、新たな作業が行われるときに、作業者が作業に従事したときの正確性及び速度のいずれか一方を含む処理レベルと、作業者が受験した試験の成績レベルとに基づいて、作業に従事すべき適切なスキルを持つ作業者を抽出することができる。 Patent Document 3 is capable of automatically extracting an appropriate worker in a product manufacturing line so that the worker can perform the work, and at the same time, having the worker receive an appropriate education at an appropriate time. It is related to the system to improve the skill of workers. In this system, when a new work is performed, based on the processing level including one of accuracy and speed when the worker engages in the work and the performance level of the test the worker took, It is possible to select a worker who has an appropriate skill to engage in the work.
 特許文献4は、保守作業やエンジニアリング業務などのプロジェクト実行計画の作成にあたり、作業者のスキルの変化を考慮して、プロジェクトへの作業者割り当てを行うことができるようにするシステムに関する。このシステムでは、プロジェクトを構成するワークフローの各ワークに対して作業者のスキルレベルに応じた標準推定作業時間と、すでに実施された各ワークの担当作業者の実作業時間とに基づいて、作業者の現在のスキルレベルを算出及び更新し、各ワークに割り当てられた作業者の更新されたスキルレベルに基づいて、各ワークの推定作業時間を算出することができる。 Patent Document 4 relates to a system that allows workers to be assigned to projects in consideration of changes in the skills of workers when creating project execution plans for maintenance work and engineering work. In this system, the worker is calculated based on the standard estimated work time according to the skill level of the worker for each work in the workflow that constitutes the project and the actual work time of the worker in charge of each work that has already been performed. It is possible to calculate and update the current skill level of, and calculate the estimated work time of each work based on the updated skill level of the worker assigned to each work.
特開2002-279019号公報JP, 2002-279919, A 特開2010-244176号公報JP, 2010-244176, A 特開2013-254241号公報JP, 2013-254241, A 特開2016-194736号公報JP, 2016-194736, A
 特許文献1~4に提案されるような考え方に基づいて構築されたシステムは、設備において対応を必要とする作業が発生した場合に、各作業者のスキルに基づいて当該作業を適切に行うことができる作業者を自動的に選定することができるようにするものである。しかし、作業発生時にこれらのシステムによって作業者を選定すると、例えば、簡単な作業に対しては常に新人作業員が割り当てられ、困難な作業には常にベテラン作業員が割り当てられることになり、このような割り当てが続けられると、新人作業員の作業スキルの早期向上が難しいという問題がある。また、設備の運転は、一般に、複数の作業者がチームを組んで行われることが多いが、低スキル作業者のスキルが向上しなければチーム全体としての設備運転スキルの向上が望めず、ひいては物品生産のさらなる効率化が難しくなる。 The system constructed based on the idea proposed in Patent Documents 1 to 4 should appropriately perform the work based on the skill of each worker when the work requiring the handling occurs in the equipment. It is intended to automatically select a worker who can do the work. However, when workers are selected by these systems when work occurs, for example, new workers are always assigned to simple work, and veteran workers are always assigned to difficult work. However, there is a problem that it is difficult to improve the work skills of new workers early if they are continuously assigned. Moreover, in general, multiple operators work in teams to operate equipment, but if the skills of low-skilled workers do not improve, the equipment operation skills of the entire team cannot be expected to improve. It becomes difficult to further improve the efficiency of product production.
 さらに、特許文献1~3に提案されるシステムでは、作業者のスキルを向上させるための教育に関しても考慮されているものの、いずれの技術においても、当該作業に対するスキルが低い作業者に当該作業を実際に経験させることによってスキルを向上させるという考え方を採用するものではない。これらのシステムにおいて実現される作業者教育は、設備の運転とは別に行われ、その教育の結果として技能レベルが向上した作業員が、その技能レベルに応じた作業に対応できるようにするものである。したがって、実際の設備運転時に発生する難しい作業に対しても新人作業員が対応する機会を設けることによって、より実際の状況に即した効率的な教育が行われるようにすることが望ましい。 Further, in the systems proposed in Patent Documents 1 to 3, although the education for improving the skill of the worker is taken into consideration, in any of the techniques, the worker who has a low skill for the work is required to perform the work. It does not adopt the idea of improving skills through actual experience. The worker education implemented in these systems is conducted separately from the operation of the equipment, and as a result of the education, the workers whose skill level has improved can cope with the work according to the skill level. is there. Therefore, it is desirable to provide an opportunity for a new worker to deal with difficult work that occurs during actual facility operation so that more efficient education according to the actual situation can be provided.
 上記の課題を解決するため、本発明は、低スキル作業者のスキルを早期に向上させることができるようにするとともに、設備の運用に関わる複数の作業員からなるチーム全体のスキルの向上も可能となる、設備における作業者自動選定システムを提供することを目的とする。 In order to solve the above problems, the present invention makes it possible to improve the skills of low-skill workers at an early stage and also improve the skills of the entire team consisting of multiple workers involved in the operation of equipment. The purpose is to provide an automatic worker selection system for equipment.
 本発明の第1の態様においては、設備における必要な作業に対応する作業者を複数の作業者の中から自動的に選定するための作業者選定システムを提供する。作業者選定システムは、設備における必要な作業に関する情報である作業情報と、複数の作業者の情報と各々の作業者が過去に行った作業に関する情報とを含む作業者情報と、作業に対応する複数の作業者の当該作業に対する作業スキルに関する情報である作業スキル情報とを格納した記憶部とを備える。記憶部は、設備によって生産される物品の生産関連情報を格納することもできる。 In the first aspect of the present invention, a worker selection system for automatically selecting a worker corresponding to a required work in a facility from a plurality of workers is provided. The worker selection system corresponds to work, which is work information that is information about necessary work in the facility, worker information that includes information about a plurality of workers and information about work that each worker has performed in the past. A storage unit that stores work skill information that is information about work skills of a plurality of workers for the work. The storage unit can also store the production related information of the articles produced by the facility.
 作業者選定システムは、作業スキルばらつき算定部と、作業スキル判定部と、作業者選定部と、情報更新部とを備える。作業スキルばらつき算定部は、対応が必要な作業の発生時に、作業情報と、作業者情報と、作業スキル情報とを記憶部から取得し、複数の作業者間の当該作業に対する作業スキルのばらつきの大きさを求める。作業スキル判定部は、ばらつきの大きさが所定の基準以上の場合には作業スキルの最も低い作業者を抽出し、ばらつきの大きさが所定の基準より小さい場合には作業スキルの最も高い作業者を抽出する。作業者選定部は、抽出された作業者を作業への対応作業者として選定し、該対応作業者の作業者情報を出力する。情報更新部は、作業者選定部によって選定された対応作業者が対応した作業の結果に基づいて、記憶部の作業情報、作業者情報、及び作業者スキル情報のいずれか又はこれらの組み合わせを更新する。 The worker selection system includes a work skill variation calculation unit, a work skill determination unit, a worker selection unit, and an information updating unit. The work skill variation calculation unit acquires work information, worker information, and work skill information from the storage unit when a work that needs to be handled occurs, and the work skill variation calculation unit obtains the work skill variation of a plurality of workers for the work. Find the size. The work skill determination unit extracts the worker having the lowest work skill when the variation is equal to or larger than a predetermined standard, and the worker having the highest work skill when the variation is smaller than the predetermined standard. To extract. The worker selecting unit selects the extracted worker as a worker who responds to the work, and outputs worker information of the worker. The information updating unit updates one or a combination of the work information, the worker information, and the worker skill information in the storage unit, based on the result of the work performed by the corresponding worker selected by the worker selecting unit. To do.
 一実施形態においては、作業者選定システムは、生産関連情報を記憶部から取得し、作業を行うために設備の稼働を停止しても生産計画を達成することができる許容時間を算出する作業許容時間算出部と、作業スキル判定部によって抽出された作業者が、許容時間内に当該作業を完了することができるかどうかを判定する、作業完了可能性判定部とを備えるものとすることもできる。さらに、作業者選定システムは、作業スキル判定部によって抽出された作業者について、作業者の当該作業に対する過去の作業スキルの変化を求め、その変化に基づいて作業スキルの向上可能性を判定する作業スキル向上可能性判定部をさらに備えるものとすることもできる。さらに、作業者選定システムは、複数の作業者の中に当該作業を行った経験のない作業者がいるかどうかを判定し、当該作業者がいる場合にはその作業者に当該作業に対する仮作業スキルを設定する、作業未経験者判定部をさらに含むものとすることもできる。 In one embodiment, the worker selection system acquires the production-related information from the storage unit, and calculates the allowable time for which the production plan can be achieved even when the operation of the equipment is stopped to perform the work. A time calculation unit and a work completion possibility determination unit that determines whether the worker extracted by the work skill determination unit can complete the work within the allowable time may be provided. . Furthermore, the worker selection system obtains a change in past work skill of the worker for the worker extracted by the work skill determination unit and determines a work skill improvement possibility based on the change. It is also possible to further include a skill improvement possibility determination unit. Furthermore, the worker selection system determines whether or not there is a worker who has no experience in performing the work among the plurality of workers, and if there is the worker, the worker has a temporary work skill for the work. It is also possible to further include a work inexperienced person determination unit for setting.
 本発明の第2の態様においては、設備における必要な作業に対応する作業者を複数の作業者の中から自動的に選定するための作業者選定方法を提供する。また、本発明の第3の態様においては、作業者選定方法の各ステップをコンピュータ・システムに実行させるための命令を含む、コンピュータ・システム上で実行可能なコンピュータ・プログラムを提供する。 The second aspect of the present invention provides a worker selection method for automatically selecting a worker corresponding to a required work in a facility from a plurality of workers. In a third aspect of the present invention, there is provided a computer program executable on a computer system, which includes instructions for causing the computer system to execute each step of the worker selection method.
 本発明によれば、設備において必要となる種々の作業について、低スキル者の作業スキルを早期に向上させることができるだけでなく、高スキル者も作業スキルをさらに向上させることができる。また、設備の運転に当たる複数の作業者からなる作業チーム全体としての作業スキルを向上させることができる。 According to the present invention, not only can the work skills of low-skilled workers be improved early on, but also high-skilled workers can further improve the work skills of various works required in equipment. Further, it is possible to improve the work skills of the entire work team including a plurality of workers who operate the equipment.
本発明の一実施形態による作業者選定システムの概略的な構成を示すブロック図である。It is a block diagram showing a schematic structure of a worker selection system by one embodiment of the present invention. 本発明の一実施形態による作業者選定システムの概略的なハードウェア構成例を示す図である。FIG. 1 is a diagram showing a schematic hardware configuration example of a worker selection system according to an embodiment of the present invention. 本発明の一実施形態による作業者選定処理を示す処理フローである。It is a processing flow which shows a worker selection processing by one embodiment of the present invention. 作業の分類判断において用いられる、設備における必要な作業に関する作業情報の例を示す。The example of the work information regarding the required work in the equipment used in the work classification judgment is shown. 技能レベル値を重み付けして合計した値を作業スキルとする例を示す。An example is shown in which the skill level value is weighted and totaled to be the work skill. 複数の作業者間の作業スキルのばらつきの例を示す。An example of variations in work skills among multiple workers is shown. 作業スキルのばらつきの大きさに応じて低スキル作業者及び高スキル作業者のいずれか一方を選定するパターンの例を示す。An example of a pattern for selecting one of a low-skill worker and a high-skill worker according to the degree of variation in work skill is shown. 図3の処理フローに示される作業者選定処理において、さらに作業の許容時間を考慮した場合の処理フローである。In the worker selection process shown in the process flow of FIG. 3, it is a process flow when the allowable time of work is further considered. 作業の許容時間の考え方を示す図である。It is a figure which shows the way of thinking of work allowable time. 図3の処理フローに示される作業者選定処理において、さらに作業者の作業スキル向上の可能性を考慮した場合の処理フローである。In the worker selection process shown in the process flow of FIG. 3, it is a process flow when considering the possibility of further improvement of the worker's work skill. 図3の処理フローに示される作業者選定処理において、作業の許容時間と作業者の作業スキル向上の可能性とをいずれも考慮した場合の処理フローである。In the worker selection process shown in the process flow of FIG. 3, it is a process flow when both the work allowable time and the possibility of improving the worker's work skill are taken into consideration. 図11の処理フローに示される作業者選定処理を実行した場合の作業スキル向上の具体例である。12 is a specific example of work skill improvement when the worker selection process shown in the process flow of FIG. 11 is executed.
 以下に、本発明に係る作業者選定システムの実施形態について、図面を参照しながら詳細に説明する。 An embodiment of a worker selection system according to the present invention will be described in detail below with reference to the drawings.
 図1は、本発明の一実施形態による作業者選定システム100の概略的な構成を示すブロック図である。作業者選定システム100は、設備Pにおいて対応が必要な作業が発生したことの通知(作業発生通知)を受けて、その作業に対応すべき作業者の情報(対応作業者情報)を出力することができるものであり、作業発生通知の情報に基づいて種々の判断や計算等を実行する機能部と、当該機能を実行するために用いられる各種の情報を記憶する記憶部とを含む。 FIG. 1 is a block diagram showing a schematic configuration of a worker selection system 100 according to an embodiment of the present invention. The worker selection system 100 receives a notification (work occurrence notification) that a work requiring handling has occurred in the equipment P, and outputs information on a worker who should handle the work (corresponding worker information). And includes a functional unit that executes various judgments and calculations based on the information of the work occurrence notification, and a storage unit that stores various information used for executing the function.
 作業者選定システム100は、作業情報記憶部102、作業者情報記憶部104、作業スキル情報記憶部106及び生産関連情報記憶部108を含む。作業情報記憶部102には、設備における必要な作業に関する情報が格納されている。作業者情報記憶部104には、作業者の情報とその作業者の過去の作業に関する情報とが格納されている。作業スキル情報記憶部106には、設備において発生する作業に対応する各作業者の作業スキルに関する情報が格納されている。生産関連情報記憶部108には、設備によって生産される物品の生産関連情報が格納されている。 The worker selection system 100 includes a work information storage unit 102, a worker information storage unit 104, a work skill information storage unit 106, and a production related information storage unit 108. The work information storage unit 102 stores information about necessary work in the facility. The worker information storage unit 104 stores information about the worker and information about the past work of the worker. The work skill information storage unit 106 stores information about the work skill of each worker corresponding to the work that occurs in the facility. The production-related information storage unit 108 stores production-related information of articles produced by the equipment.
 それぞれの記憶部に格納される情報について、作業情報、作業者情報、作業スキル情報、及び生産関連情報は、それぞれが物理的にまとまったものである必要はない。例えば、作業スキル情報に相当するデータと作業者情報の相当するデータとが混在した状態で、いずれかのハードウェアに一括して格納されていることに限定されず、これらのデータが複数のハードウェアに分散した状態で格納されていてもよく、その場合には、作業スキル情報以外の作業者情報に相当するデータが記憶されている領域が作業者情報記憶部104に該当し、作業スキル情報に相当するデータが記憶されている領域が作業スキル情報記憶部106に該当する。 Regarding the information stored in each storage unit, the work information, worker information, work skill information, and production-related information do not have to be physically aggregated. For example, the data corresponding to the work skill information and the data corresponding to the worker information are mixed and are not limited to being collectively stored in any of the hardware. The work information may be stored in a distributed manner in the wear, and in that case, the area in which data corresponding to the worker information other than the work skill information is stored corresponds to the work information storage unit 104. An area in which data corresponding to is stored corresponds to the work skill information storage unit 106.
 作業情報記憶部102に記憶される作業情報は、設備における必要な作業に関する情報であり、例えば図4に示されるような情報とすることができる。図4に示される情報は、例えば、設備の状態と、その状態が生じる原因、設備の状態に対応するための必要な作業を判断する根拠、必要な作業の内容、作業に要する時間、作業を行うタイミングなどが含まれるテーブルである。 The work information stored in the work information storage unit 102 is information regarding necessary work in the facility, and can be information as shown in FIG. 4, for example. The information shown in FIG. 4 includes, for example, the state of the equipment, the cause of the state, the basis for determining the work required to respond to the state of the equipment, the content of the required work, the time required for the work, and the work. It is a table that includes the timing to perform.
 作業者情報記憶部104に記憶される作業者情報は、設備における必要な作業に従事することができる作業者の情報と、その作業者の過去の作業に関する情報とを含む。作業者情報は、例えば、作業者の氏名、ID番号、所属部署などに加えて、当該作業者が過去に行った作業の内容とその作業への対応に要した時間、作業を行った日時、行った作業の結果などが含まれる。 The worker information stored in the worker information storage unit 104 includes information on a worker who can engage in necessary work in the facility and information on the past work of the worker. The worker information includes, for example, the name of the worker, the ID number, the department to which the worker belongs, the details of the work performed by the worker in the past, the time required to respond to the work, the date and time when the work was performed, It includes the results of the work done.
 作業スキル情報記憶部106に記憶される作業スキル情報は、設備において発生する作業に対応する各作業者の作業スキルに関する情報を含む。作業スキルの例は後述される。 The work skill information stored in the work skill information storage unit 106 includes information about the work skill of each worker corresponding to the work that occurs in the facility. Examples of work skills will be described later.
 生産関連情報記憶部108に記憶される物品の生産関連情報は、例えば、装置の生産能力、物品の生産計画(生産量、生産日数、生産締日、生産安全度、生産余裕度など)、物品の生産実績などとすることができる。 The production-related information of the article stored in the production-related information storage unit 108 includes, for example, the production capacity of the device, the production plan of the article (production amount, number of production days, production deadline, production safety level, production margin, etc.), article Can be the production record of
 作業者選定システム100は、設備Pの各部分の状態を監視するセンサなどによるセンシングデータを記憶するセンシングデータ記憶部109をさらに含むことが好ましい。センシングデータは、例えば、作業情報とともに用いられて、必要な作業を判断するためのデータとして利用することができる。 The worker selection system 100 preferably further includes a sensing data storage unit 109 that stores sensing data from a sensor or the like that monitors the state of each part of the facility P. The sensing data is used together with work information, for example, and can be used as data for determining necessary work.
 作業者選定システム100は、図1に示されるように、作業分類部110、作業未経験者判定部112、作業スキルばらつき算定部114、作業スキル判定部116、作業許容時間算出部118、作業完了可能性判定部120、作業スキル向上可能性判定部122、作業者選定部124、及び情報更新部126を含むものとすることができる。各機能部110~126の機能は、以下に順次説明する。 As shown in FIG. 1, the worker selection system 100 includes a work classification unit 110, a work inexperienced person determination unit 112, a work skill variation calculation unit 114, a work skill determination unit 116, a work allowable time calculation unit 118, and work completion. It may include a sex determination unit 120, a work skill improvement possibility determination unit 122, a worker selection unit 124, and an information updating unit 126. The function of each of the functional units 110 to 126 will be sequentially described below.
 記憶部102~109は、1つのハードウェア・データベースとして構成されても、分散型データベースとして構成されてもよい。同様に、作業者選定システム100の各機能部110~126は、1つのコンピュータ・ハードウェア内に構築されていてもよく、分散された複数のコンピュータ・ハードウェア内に構築され、それぞれのコンピュータ・ハードウェアが協働することにより各部の機能を発揮するように構成されてもよい。 The storage units 102 to 109 may be configured as one hardware database or a distributed database. Similarly, each of the functional units 110 to 126 of the worker selection system 100 may be built in one computer hardware, or may be built in a plurality of distributed computer hardware, and each of the computer units. It may be configured so that the functions of the respective parts are exhibited by the cooperation of the hardware.
 作業者選定システム100は、例えば、RTP方式の装置において、装置の運転の際に必要な作業に対応する作業者を自動的に選定するために用いることができる。RTP方式は、液晶表示装置などの製造工程において、帯状の離型フィルム上に粘着剤層を介して複数のシート状光学フィルムが支持された帯状光学フィルム積層体から、欠点の存在しない正常なシート状機能フィルムのみを粘着剤層と共に離型フィルムから順次剥離し、粘着剤層を介して矩形パネルと貼り合わせることによって、液晶表示装置を連続的に製造する方式である。こうした方式を実現する液晶表示装置の連続製造システムは、予め切り出された光学フィルムのシートを矩形パネルに貼り合わせる従来の個別貼り方式を実現する装置と区別して、「連続貼り(RTP;ロール・ツー・パネル)」装置といわれる。 The worker selection system 100 can be used, for example, in an RTP type device to automatically select a worker corresponding to a work required when operating the device. The RTP method is a normal sheet having no defects from a belt-shaped optical film laminate in which a plurality of sheet-shaped optical films are supported on a belt-shaped release film via an adhesive layer in a manufacturing process of a liquid crystal display device or the like. This is a method for continuously manufacturing a liquid crystal display device by sequentially peeling only the functional film together with the pressure-sensitive adhesive layer from the release film and adhering it to the rectangular panel via the pressure-sensitive adhesive layer. A continuous manufacturing system for liquid crystal display devices that realizes such a method is distinguished from a device that realizes a conventional individual bonding method in which a sheet of an optical film that has been cut out in advance is bonded to a rectangular panel, and is referred to as “continuous bonding (RTP;・ Panel) ”device.
 図2は、本発明の一実施形態による作業者選定システム100の例示的なコンピュータ・ハードウェア構成を示す。作業者選定システム100は、中央処理装置(CPU)と、中央処理装置が実行する各種のプログラムやデータなどを格納するRAM、ROM、ハードディスクドライブ(HDD)などの記憶装置と、これらの装置を互いに接続するバスとを有する汎用コンピュータを用いて実現することができる。さらに、作業者選定システム100には、必要に応じて、CD-ROM又はDVD-ROMなどの外部記録媒体との間でデータの入出力を行うドライブ装置と、キーボード又はマウスなどの入力装置と、CRT、液晶ディスプレイ又はプリンタなどの出力装置と、他のコンピュータ又はネットワークと通信するための通信インターフェースとを接続するようにしてもよい。 FIG. 2 shows an exemplary computer hardware configuration of a worker selection system 100 according to an embodiment of the present invention. The worker selection system 100 includes a central processing unit (CPU), a storage device such as a RAM, a ROM, a hard disk drive (HDD) that stores various programs and data executed by the central processing unit, and these devices mutually. It can be realized by using a general-purpose computer having a bus to be connected. Further, the worker selection system 100 includes a drive device for inputting / outputting data to / from an external recording medium such as a CD-ROM or a DVD-ROM, an input device such as a keyboard or a mouse, as necessary. An output device such as a CRT, a liquid crystal display or a printer may be connected to a communication interface for communicating with another computer or network.
 図3は、作業者選定システム100において、作業を行う作業者を選定するために実行される処理フロー300を示す。例えばRTP装置などの設備Pにおいて、作業を必要とする何らかの事象が発生したとき、設備Pは、作業者選定システム100に対して、対応すべき事象が発生したことを通知する(S301)。設備Pにおいて対応すべき事象が発生したことは、例えば、設備Pの複数箇所に取り付けられたセンサなどの各種の計測機器において検出することができる。例えば、RTP装置において、液晶パネルに光学フィルムを貼り合わせる工程で、光学フィルムの貼合位置の精度が悪化した場合には、装置の運転を停止した上で、作業者が状況を探り、必要に応じて例えば貼合パラメータの修正やフィードローラの交換等を行わなければならない。このような場合には、貼合位置検出システムが異常を検知し、例えば異常情報を一元的に収集する機能を有する情報処理端末から、作業者選定システム100に対して、貼合精度が悪化したしたことが通知される。 FIG. 3 shows a processing flow 300 executed by the worker selection system 100 to select a worker to perform a work. For example, when some event requiring work occurs in the equipment P such as an RTP device, the equipment P notifies the worker selection system 100 that an event to be dealt with has occurred (S301). The occurrence of an event to be dealt with in the facility P can be detected by various measuring instruments such as sensors attached to a plurality of locations in the facility P, for example. For example, in an RTP device, when the accuracy of the bonding position of the optical film deteriorates in the process of bonding the optical film to the liquid crystal panel, the operator stops the operation of the device and the operator searches for the situation and Accordingly, for example, it is necessary to correct the bonding parameters and replace the feed roller. In such a case, the bonding position detection system detects an abnormality, and, for example, the bonding accuracy is deteriorated with respect to the worker selection system 100 from an information processing terminal having a function of collecting abnormality information in a unified manner. You will be notified that you have done it.
 対応すべき事象が発生したことが通知されると、作業者選定システム100は、通知された情報に基づいて、当該事象に関連する作業の作業情報を、設備における必要な作業に関する情報が格納された作業情報記憶部102から取得する。作業情報の例は図4に示したとおりである。作業者選定システム100の作業分類部110は、取得した作業情報に基づいて、作業の分類判断を行い、対応すべき作業内容を特定する(S302)。 When notified that an event to be handled has occurred, the worker selection system 100 stores the work information of the work related to the event and the information about the necessary work in the facility based on the notified information. Acquired from the work information storage unit 102. An example of the work information is as shown in FIG. The work classification unit 110 of the worker selection system 100 performs work classification determination based on the acquired work information, and specifies the work content to be handled (S302).
 例えば、貼合精度が悪化したことが通知されると、作業者選定システム100は、作業情報記憶部120から、当該状態が生じる原因、必要な作業を判断するための根拠、必要な作業、作業に要する時間、作業を行うタイミングなどの情報を取得する。作業分類部110は、これらの情報と設備Pの各部分からのセンシングデータとに基づいて、精度劣化の原因が貼合ローラの劣化であり、貼合ローラの交換が一定期間行われていない場合には、必要な作業が「貼合ローラの交換」であることを特定する。作業分類部110は、必要に応じて、作業に要する時間や作業を行うべきタイミングについても特定することができる。 For example, when notified that the bonding accuracy has deteriorated, the worker selection system 100 causes the work information storage unit 120 to cause the situation, a basis for determining necessary work, necessary work, and work. Acquire information such as the time required for work and the timing of work. In the work classification unit 110, based on these pieces of information and the sensing data from each part of the equipment P, the cause of the accuracy deterioration is deterioration of the bonding roller, and the bonding roller has not been replaced for a certain period of time. Specifies that the required work is "replacement of the laminating roller". The work classification unit 110 can also specify the time required for the work and the timing at which the work should be performed, if necessary.
 なお、対象作業の分類判断は、作業者選定システム100によって、例えば予め定められた異常コードや図4に示されるデータなどを用いることにより自動的に行われることが望ましいが、例えば貼合精度劣化が通知されたときに、その原因を、各種センシングデータや過去の経験、作業マニュアル等に基づいて作業者が判断し、必要な作業を特定し、特定された作業内容を入力部から作業者選定システム100に与えることによって行うこともできる。また、例えば異常コードなどが設定されていない事象が発生した場合に、作業者選定システム100が、作業情報記憶部120に格納された情報から類推して作業内容を決定するようにしてもよい。 Note that it is desirable that the classification determination of the target work is automatically performed by the worker selection system 100, for example, by using a predetermined abnormality code or the data shown in FIG. When a notification is given, the operator judges the cause based on various sensing data, past experience, work manual, etc., specifies the necessary work, and selects the specified work content from the input section. It can also be done by giving to the system 100. Further, for example, when an event in which an abnormal code or the like is not set occurs, the worker selection system 100 may determine the work content by analogy with the information stored in the work information storage unit 120.
 次に、対応すべき作業が特定されると、作業者選定システム100は、設備Pの運転に関わっており、当該作業に対応可能な複数の作業者について、作業者の情報とその作業者が過去に行った作業に関する情報とを含む作業者情報を、これらの情報が格納された作業者情報記憶部104から取得する。作業者選定システム100は、作業者情報を取得すると、作業未経験者判定部112において、S302で特定された作業について未経験者がいるかどうか判定する(S303)。未経験者がいない場合には、作業者選定システム100は、次に、複数の作業者の作業者情報に基づいて、当該作業に対応する作業スキルに関する情報である作業スキル情報を、この情報が格納された作業スキル情報記憶部106から取得する。 Next, when the work to be handled is specified, the worker selection system 100 is involved in the operation of the equipment P, and the worker information and the worker information about a plurality of workers who can handle the work. Worker information including information on work performed in the past is acquired from the worker information storage unit 104 in which these pieces of information are stored. When the worker selection system 100 acquires the worker information, the work inexperienced person determination unit 112 determines whether or not there is an inexperienced person for the work specified in S302 (S303). If there is no inexperienced person, the worker selection system 100 then stores work skill information, which is information about work skills corresponding to the work, based on the worker information of the plurality of workers. It is acquired from the created work skill information storage unit 106.
 作業スキルは、設備に関する何らかの作業が必要であるときに、当該設備において当該作業を遂行する作業員の作業遂行能力である。作業スキルを表す指標は、作業者が当該作業を遂行する能力を表すことができるものであれば特に限定されるものではなく、種々の指標が考えられる。作業スキルは、定量的な指標であることが望ましいが、定性的な指標であってもよい。作業スキルとして定性的な指標が用いられる場合は、その指標をなんらかの数値に換算した値をシステムが自動的に利用できるようにされていることが好ましい。本発明による作業者選定システム100においては、個々の作業者の作業遂行能力を表す定量的な数値を、作業スキルとして利用することが好ましい。 The work skill is the work performance capability of the worker who performs the work at the facility when some work related to the facility is required. The index indicating the work skill is not particularly limited as long as it can represent the ability of the worker to perform the work, and various indexes can be considered. The work skill is preferably a quantitative index, but may be a qualitative index. When a qualitative index is used as the work skill, it is preferable that the system can automatically use a value obtained by converting the index into some numerical value. In the worker selection system 100 according to the present invention, it is preferable to use a quantitative value representing the work performance of each worker as the work skill.
 作業スキルとして、例えば、過去において当該作業に対応した際に作業に要した時間の平均値、過去において当該作業に対応した際に要した時間のうち最短の作業時間、過去に当該作業を行った回数、当該作業を行う際の移動距離・移動時間などの数値を用いることができる。後述される図7には、過去において当該作業に対応した際に要した時間のうち最短の作業時間を作業スキルとする例を示す。 As the work skill, for example, the average value of the time required for the work in the past when dealing with the work, the shortest work time of the time required when responding to the work in the past, the work performed in the past Numerical values such as the number of times and the moving distance / moving time when performing the work can be used. FIG. 7, which will be described later, shows an example in which the shortest work time of the times required to deal with the work in the past is used as the work skill.
 あるいは、作業スキルとして、過去において当該作業を行った結果の精度や、別途定められた技能レベルに基づいて算出された値を用いることもできる。図5は、技能レベル値を重み付けして合計した値を作業スキルとする例を示す。図5は、個々の作業に関して各作業者に対する別途の評価(例えば、作業練磨表など)に基づいて付与された技能レベル値を用い、対応を要するとして特定された作業を行うのに必要な技能の組み合わせから、それぞれの技能レベル値を重み付けして合計又は平均した値を、作業スキルとして用いるものである。図5の例では、例えばNo.3の作業が発生した場合に、作業錬磨表の「RTP基礎」及び「品質異常処置」の項目におけるウェイトに基づいて、各作業者のスキルを算出する。作業者A、作業者B、作業者C及び作業者Dの作業スキル値は、それぞれ、2.4、3.3、1.9及び1.0となる。したがって、最もスキルが高い作業者は作業者Bであり、最もスキルが低い作業者は作業者Dである。 Alternatively, as the work skill, it is possible to use the accuracy of the result of performing the work in the past or a value calculated based on the skill level separately determined. FIG. 5 shows an example in which a value obtained by weighting skill level values and summing them is used as a work skill. FIG. 5 shows the skills required to perform the work identified as requiring a response, using the skill level value given based on a separate evaluation (for example, a work training table) for each worker for each work. The value obtained by weighting the respective skill level values from the combination of and summing or averaging is used as the work skill. In the example of FIG. When the work of No. 3 occurs, the skill of each worker is calculated based on the weights in the items of “RTP basics” and “quality abnormality treatment” in the work training table. The work skill values of the worker A, the worker B, the worker C, and the worker D are 2.4, 3.3, 1.9, and 1.0, respectively. Therefore, the worker with the highest skill is the worker B, and the worker with the lowest skill is the worker D.
 本明細書の以下の説明においては、各々の作業者が過去において当該作業に対応した際に要した作業時間のうち最短の作業時間を作業スキルとして用いる場合を例として説明する。図3に戻ると、S303において未経験者がいないと判定され、複数の作業者の作業スキル情報を取得した後、作業者選定システム100は、作業スキルばらつき算定部114において、複数の作業者間における作業スキルのばらつきの大きさを求める(S305)。なお、S303において未経験者がいると判定された場合の処理(S304)については後述する。 In the following description of this specification, an example will be described in which each worker uses the shortest work time among the work times required to deal with the work in the past as work skill. Returning to FIG. 3, after it is determined in S303 that there is no inexperienced person, and the work skill information of the plurality of workers is acquired, the worker selection system 100 causes the work skill variation calculation unit 114 to perform the operation among the plurality of workers. The size of the variation in work skills is calculated (S305). The process (S304) when it is determined in S303 that there is an inexperienced person will be described later.
 図6は、複数の作業者間における作業スキルのばらつきの大きさを計算する場合の例である。例えば、作業者A~作業者Eが当該作業に対応可能な作業者である場合に、作業スキルばらつき算定部114は、すべての作業者の過去の当該作業における最短作業時間を取得する。取得した最短作業時間のうち最短時間(図6の(1))と最長時間(同(2))との差(同(3))を求め、その差を最短作業時間で割る(同(4))ことによって、当該作業における作業者A~作業者Eの作業スキルのばらつきの大きさを求める。図6の例の場合では、作業スキルのばらつきの大きさは「2.0」と計算される。 FIG. 6 is an example of the case of calculating the degree of variation in work skills among a plurality of workers. For example, when the workers A to E are workers who can handle the work, the work skill variation calculation unit 114 acquires the shortest work time in the past work of all the workers. Of the acquired minimum work time, the difference (same (3)) between the shortest time ((1) in FIG. 6) and the longest time (same (2)) is obtained, and the difference is divided by the shortest work time (same (4). )), The size of the variation in the work skills of the workers A to E in the work is obtained. In the case of the example in FIG. 6, the magnitude of the variation in work skills is calculated as “2.0”.
 次に、作業者選定システム100の作業スキル判定部116は、作業スキルばらつき算定部114において算定されたばらつきの大きさと、ばらつきの大きさに関する所定の基準値とを比較する(S306)。作業スキルのばらつきの大きさが所定の基準以上であると判定された場合には、作業スキル判定部116は、作業スキルの最も低い作業者を抽出する(S306のYes)。一方、作業スキルのばらつきの大きさが所定の基準より小さいと判定された場合には、作業スキル判定部116は、作業スキルの最も高い作業者を抽出する(S306のNo)。 Next, the work skill determination unit 116 of the worker selection system 100 compares the size of the variation calculated by the work skill variation calculation unit 114 with a predetermined reference value regarding the size of the variation (S306). When it is determined that the degree of variation in work skills is equal to or greater than the predetermined reference, the work skill determination unit 116 extracts the worker having the lowest work skill (Yes in S306). On the other hand, when it is determined that the variation of the work skill is smaller than the predetermined reference, the work skill determination unit 116 extracts the worker having the highest work skill (No in S306).
 図7は、作業スキルのばらつきの大きさに応じて、低スキル作業者及び高スキル作業者のいずれか一方が選択されるパターンの例を示す。図7(a)及び(b)は、対応すべき作業が簡単な作業の場合の例であり、図7(c)及び(d)は、対応すべき作業が難しい作業の場合の例である。例えば、設備の運転開始時において当該作業の作業者間の作業レベルに差がある場合に、対応すべき簡単な作業が生じたとき(図7(a)のケース)の例を説明する。当該作業の発生回数が多い時期(初期)において当該作業が生じ、作業スキルのばらつきの大きさが2.0と計算された場合、所定の基準を1.0とすると、抽出される作業者は作業者E(すなわち、低スキル作業者)となる。設備の稼働が続き、当該作業の発生回数が徐々に減少するいずれかの時点(中期及び後期)で同じ作業が生じたときに、同様に作業スキルのばらつきが計算され、ばらつきが9.0及び2.0と計算されたため、いずれも作業者Eが抽出される。 FIG. 7 shows an example of a pattern in which either a low-skill worker or a high-skill worker is selected according to the degree of variation in work skills. 7 (a) and 7 (b) are examples where the work to be handled is a simple work, and FIGS. 7 (c) and 7 (d) are examples where the work to be handled are difficult. . For example, when there is a difference in the work level between the workers of the work at the time of starting the operation of the facility, an example will be described when a simple work to be performed (case of FIG. 7A). When the work occurs at a time when the number of occurrences of the work is large (initial stage) and the magnitude of the variation in the work skill is calculated to be 2.0, assuming that the predetermined criterion is 1.0, the extracted workers are It becomes the worker E (that is, the low skill worker). When the same work occurs at any time (middle term and latter term) when the operation of the equipment continues and the number of occurrences of the work gradually decreases, the variation of the work skill is calculated in the same manner, and the variation is 9.0. Since it was calculated as 2.0, the worker E is extracted in each case.
 ここで、所定の基準は任意に設定されるが、一例として、以下の考え方で所定の基準を設定することができる。すなわち、所定の基準を1.0とし、S305で計算されたばらつきの大きさが1.0以上の場合は、高スキル作業者の作業時間(最短時間)と低スキル作業者の作業時間(最長時間)との間に2倍以上の差があることになるため、低スキル作業者の作業スキルの向上を図るものとする。一方、ばらつきの大きさが1.0未満の場合は、作業者間の作業スキルに大きな差がないものとみなし、高スキル作業者のさらなるスキル向上を図るものとする。 Here, the predetermined standard is arbitrarily set, but as an example, the predetermined standard can be set according to the following concept. That is, when the predetermined criterion is 1.0 and the variation calculated in S305 is 1.0 or more, the working time of the high skill worker (shortest time) and the working time of the low skill worker (longest time) Since there will be a more than double difference with the time), the work skill of low skill workers will be improved. On the other hand, if the magnitude of the variation is less than 1.0, it is considered that there is no great difference in the work skills among the workers, and the skill of highly skilled workers is further improved.
 設備の運転開始時において当該作業の作業者間の作業レベルに差がない場合に、対応すべき簡単な作業が生じたとき(図7(b)のケース)の例では、同様の計算及び判断により、初期及び中期の各々においては作業者A又は作業者B(すなわち、高スキル作業者)が抽出され、後期においては作業者E(すなわち、低スキル作業者)が抽出される。対応すべき難しい作業が生じたときにおいて、設備の運転開始時において当該作業の作業者間の作業レベルに差がある場合(図7(c)のケース)及び作業レベルに差がない場合(図7(d)のケース)においても、ばらつきの大きさに応じて、各々の時点で低スキル作業者又は高スキル作業者が適宜抽出される。 In a case where there is no difference in the work level between the workers of the work at the time of starting the operation of the equipment, when a simple work to be performed (case of FIG. 7B) occurs, the same calculation and judgment are performed. Thus, the worker A or the worker B (that is, the high skill worker) is extracted in each of the initial and middle periods, and the worker E (that is, the low skill worker) is extracted in the latter period. When a difficult work to be handled occurs, when there is a difference in the work level between the workers of the work at the start of operation of the equipment (case of FIG. 7C) and when there is no difference in the work level (see FIG. Also in the case of 7 (d)), a low skill worker or a high skill worker is appropriately extracted at each time point according to the magnitude of the variation.
 図3に戻り、作業スキル判定部116によって低スキル作業者又は高スキル作業者が抽出されると、作業者選定部124は、いずれかの作業者を、当該作業に対応する対応作業者として選定し、その作業者情報を出力する(S307又はS308)。出力された作業者情報は、例えば、各作業者が保持する携帯型情報端末や、設備Pに設けられたモニタなどに、表示することができる。これらの情報端末に出力された作業者は、設備Pにおいて発生した事象に対応して、必要な作業を行う(S309)。 Returning to FIG. 3, when the low skill worker or the high skill worker is extracted by the work skill determining unit 116, the worker selecting unit 124 selects any worker as a corresponding worker corresponding to the work. Then, the worker information is output (S307 or S308). The output worker information can be displayed on, for example, a portable information terminal held by each worker or a monitor provided in the facility P. The worker output to these information terminals performs necessary work in response to the event that occurred in the equipment P (S309).
 作業を終えると、作業を行った対応作業者又はその管理者は、作業の詳細、作業時間等を含む作業完了情報を、例えば携帯型情報端末又は設備Pに設けられた入力端末から入力する(S310)。作業者選定システム100の情報更新部126は、入力された作業完了情報を取得すると、この情報を用いて、記憶部に格納された作業情報、作業者情報、作業スキル情報のいずれか又はこれらの組み合わせを、必要に応じて更新する(S311)。あるいは、情報更新部126が、当該作業の開始時間及び終了時間、作業の詳細などを自動的に取得し、これらの情報を用いて、記憶部に格納された作業情報、作業者情報、作業スキル情報のいずれか又はこれらの組み合わせを更新するようにしてもよい。 When the work is completed, the corresponding worker who performed the work or the manager thereof inputs work completion information including details of the work, work time, etc. from, for example, a portable information terminal or an input terminal provided in the facility P ( S310). When the information updating unit 126 of the worker selection system 100 acquires the input work completion information, any one of the work information, the worker information, and the work skill information stored in the storage unit, or these, is used by using this information. The combination is updated as needed (S311). Alternatively, the information updating unit 126 automatically acquires the start time and end time of the work, details of the work, and the like, and uses these information to store the work information, the worker information, and the work skill stored in the storage unit. Any of the information or a combination thereof may be updated.
 作業未経験者判定部112が、S302で特定された作業について未経験者がいると判定した場合(S303)には、作業スキルばらつき算定部114が、当該未経験者に予め設定された仮作業スキルを作業者情報記憶部104から取得する。仮作業スキルとして設定される情報は、作業スキルとして用いられる指標に応じて設定することができる。例えば、過去において当該作業に対応した際に要した時間のうち最短の作業時間を作業スキルとして用いている場合には、当該未経験者の仮作業スキルとして、他の作業者が過去に当該作業を行ったときの作業時間のうち最も長い作業時間を設定することができる。あるいは、仮作業スキルとして、他の作業者が過去に最初に当該作業を行ったときの作業時間の平均値を設定することもできる。 When the work inexperienced person determination unit 112 determines that there is an inexperienced person for the work specified in S302 (S303), the work skill variation calculation unit 114 uses the temporary work skill set in advance for the inexperienced person. It is acquired from the person information storage unit 104. The information set as the temporary work skill can be set according to the index used as the work skill. For example, when the shortest work time of the time required to deal with the work in the past is used as the work skill, the temporary work skill of the inexperienced person is used by another worker in the past. It is possible to set the longest working time of the working time when performing. Alternatively, as the temporary work skill, it is possible to set the average value of the work time when another worker first performed the work in the past.
 未経験者の仮作業スキルは、上記のように予め設定しておき、作業スキル情報として作業スキル情報記憶部106に格納しておくこともできるが、作業者選定システム100が自動的に設定することもできる。例えば、作業スキルとして最短時間が用いられる場合であれば、作業未経験者判定部112が、必要な作業について未経験者がいると判定したことに応答して、作業者選定システム100が、作業者情報記憶部104から他の作業者が過去に当該作業を行ったときの作業時間を取得して比較し、最も長い作業時間を仮作業スキルとして設定、作業スキル情報記憶部106に格納することができる。 The temporary work skill of an inexperienced person can be set in advance as described above and stored as work skill information in the work skill information storage unit 106, but the worker selection system 100 automatically sets it. You can also For example, when the shortest time is used as the work skill, in response to the work inexperienced person determination unit 112 determining that there is an inexperienced person for the required work, the worker selection system 100 changes the worker information. It is possible to acquire the work time when another worker has performed the work in the past from the storage unit 104, compare the work times, set the longest work time as a temporary work skill, and store it in the work skill information storage unit 106. .
 次に、作業に対応する作業者の選定に際して、その作業の実施に許容される時間を考慮する場合の作業者選定処理を説明する。図8は、作業者選定処理において、作業に許容される時間を考慮した場合の処理フロー800を示す。以下の説明においては、図3のフローと異なる部分について主に説明する。 Next, when selecting the worker who corresponds to the work, the worker selection process when considering the time allowed for performing the work will be described. FIG. 8 shows a processing flow 800 in the case where the time allowed for work is taken into consideration in the worker selection processing. In the following description, parts different from the flow of FIG. 3 will be mainly described.
 図3の処理フロー300では、作業を必要とする事象が発生したときに、当該作業について複数の作業者の作業スキルのばらつきを計算し、ばらつきの大きさが所定の基準以上のときには作業スキルの最も低い作業者を、当該作業を行う作業者として抽出する。しかしながら、作業を行うことが必要な何らかの事象が発生したときには、設備Pの稼働停止を要する場合があり、稼働が停止している間は物品の生産が停止することになる。したがって、作業スキルの低い作業者が当該作業を完了するまでに時間がかかるために必要な生産量の未達成が生じる可能性がある場合には、その作業者に当該作業を行わせることはできず、より短時間で作業を行うことができる作業者に作業を行わせる必要がある。そこで、処理フロー800では、設備Pの稼働を停止しても必要な生産計画を達成する事が可能な許容時間と、抽出された作業者が当該作業を行うのに必要な作業時間とを比較して、当該作業者が、許容時間内に作業を完了することができるかどうかを判定し、当該作業者の作業時間が許容時間(作業を行うために許容される停止可能時間)を上回る場合には、別の作業者を抽出するようにする。 In the process flow 300 of FIG. 3, when an event requiring a work occurs, the work skill variations of a plurality of workers for the work are calculated, and when the magnitude of the variation is equal to or larger than a predetermined reference, the work skill The lowest worker is extracted as the worker who performs the work. However, when some event that requires work occurs, it may be necessary to stop the operation of the facility P, and the production of goods is stopped while the operation is stopped. Therefore, if it is possible that a worker with low work skills will not achieve the required production amount because it takes time to complete the work, he or she may not be allowed to perform the work. Instead, it is necessary to let an operator who can perform the work in a shorter time perform the work. Therefore, in the processing flow 800, the allowable time that can achieve the required production plan even when the operation of the equipment P is stopped is compared with the working time required for the extracted worker to perform the work. Then, the worker determines whether or not the work can be completed within the allowable time, and the working time of the worker exceeds the allowable time (allowable stop time for performing the work). Try to extract another worker.
 処理フロー800のステップS803において、S802で特定された作業について未経験者がいないと判定された場合に、作業者選定システム100の作業許容時間算出部118は、作業のための許容時間を算出する(S805)。なお、許容時間の算出は、この時点で行われることに限定されるものではなく、例えば、S808において作業スキルの最も低い作業者が抽出された後に算出してもよい。 In step S803 of the process flow 800, when it is determined that there is no inexperienced person for the work specified in S802, the work allowable time calculation unit 118 of the worker selection system 100 calculates the allowable time for the work ( S805). Note that the allowable time is not limited to be calculated at this time, and may be calculated after the worker having the lowest work skill is extracted in S808, for example.
 図9は、許容時間の算出の考え方の一例を示す。図9において、横軸は時間を表し、縦軸は物品の生産量を表す。例えば、設備において必要な作業が発生した時点で設備の稼働を停止し、一定の停止時間後に生産を再開し、その後、停止前の生産状況と同じ状況で生産を行えば生産締日までに生産計画を達成可能であると想定される場合は、その一定の停止時間を「許容時間」とすることができる。許容時間は、作業発生時にそれまでの生産実績が生産計画において規定される生産量を上回っていれば、より長くすることができる。また、許容時間として算出される時間は、例えば、作業再開後における生産量の予想推移を作業開始前の生産量の推移に対してどの程度に設定するか、生産の安全度をどの程度見込むか、設備の生産能力に対して生産計画がどの程度の余裕度を有するかなどの条件に応じて、変化することになる。 Figure 9 shows an example of how to calculate the allowable time. In FIG. 9, the horizontal axis represents time and the vertical axis represents the production amount of the article. For example, when the required work occurs in the equipment, the operation of the equipment is stopped, the production is restarted after a certain stop time, and if the production is performed in the same situation as before the production is stopped, the production will be completed by the production deadline When it is assumed that the plan can be achieved, the certain stop time can be set as the “allowable time”. The allowable time can be made longer if the production record up to that time exceeds the production amount specified in the production plan when the work occurs. Also, the time calculated as the allowable time is, for example, how much the expected transition of the production amount after the work is restarted is set with respect to the transition of the production amount before the work is started, and how much the safety level of the production is expected. However, it will change depending on conditions such as how much margin the production plan has with respect to the production capacity of the facility.
 例えば図9に示される考え方に基づいて算出された許容時間は、作業完了可能性判定部120に渡され、作業完了可能性判定部120は、S808で抽出された低スキル作業者の当該作業についての最短作業時間と許容時間とを比較する(S810)。比較の結果、最短作業時間が許容時間より短い場合には、作業完了可能性判定部120は、低スキル作業者が当該作業を完了することができるものと判定し、作業者選定部124は、その低スキル作業者を、当該作業に対応する対応作業者として選定する。 For example, the allowable time calculated based on the concept shown in FIG. 9 is passed to the work completion possibility determination unit 120, and the work completion possibility determination unit 120 performs the relevant work of the low skill worker extracted in S808. The shortest working time and the allowable time are compared (S810). As a result of the comparison, when the shortest work time is shorter than the allowable time, the work completion possibility determination unit 120 determines that the low skill worker can complete the work, and the worker selection unit 124 The low skill worker is selected as a corresponding worker corresponding to the work.
 一方、許容時間が低スキル作業者の当該作業についての最短作業時間と比較された(S810)結果、最短作業時間が許容時間以上の場合には、作業完了可能性判定部120は、当該作業者では許容時間内に作業を完了することができないと判断する。この場合には、作業スキル判定部116が、複数の作業者のうち当該作業者を除く他の作業者の中で作業スキルの最も低い作業者を抽出する(S811、S812、S808)。この作業者についても同様に、作業完了可能性判定部120が、許容時間と最短作業時間との比較を行う。 On the other hand, when the allowable time is compared with the shortest work time of the low-skill worker for the work (S810), if the shortest work time is equal to or longer than the allowable time, the work completion possibility determination unit 120 causes the worker Then, it is judged that the work cannot be completed within the allowable time. In this case, the work skill determination unit 116 extracts the worker having the lowest work skill from among the workers other than the worker among the plurality of workers (S811, S812, S808). Similarly for this worker, the work completion possibility determination unit 120 compares the allowable time with the shortest work time.
 S808からS812のステップを繰り返した結果、S812において作業候補者が残っていないと判定された場合には、可能な限り短い時間で作業を完了させることができるように、作業者選定部124は、すべての作業者の中で最も作業時間の短い作業者を当該作業の対応作業者として選定する(S813)。 As a result of repeating the steps from S808 to S812, when it is determined in S812 that no work candidate remains, the worker selecting unit 124 sets the work selection unit 124 to complete the work in the shortest possible time. The worker having the shortest work time among all the workers is selected as a corresponding worker for the work (S813).
 S807及びS808において、低作業スキル者が抽出された場合は以上のとおりであるが、高スキル作業者が抽出された場合においても、同様の処理が行われる(S807、S809、S814~S817)。 In S807 and S808, the case where the low-skilled worker is extracted is as described above, but the same process is performed when the high-skilled worker is extracted (S807, S809, S814 to S817).
 次に、作業に対応する作業者の選定に際して、その作業を実施する作業者の作業スキル向上可能性を考慮する場合の作業者選定処理を説明する。図10は、作業者選定処理において、作業者の作業スキル向上可能性を考慮した場合の処理フロー1000を示す。以下の説明においては、図3のフローと異なる部分について主に説明する。 Next, we will explain the worker selection process when considering the possibility of improving the work skills of the workers who carry out the work when selecting the workers who will handle the work. FIG. 10 shows a processing flow 1000 in the case of considering the possibility of improving the work skill of the worker in the worker selection process. In the following description, parts different from the flow of FIG. 3 will be mainly described.
 本システムにおいては、複数の作業者の作業スキルのばらつきを計算し、ばらつきの大きさが所定の基準以上の場合には、当該作業を行う作業者として低スキル作業者を抽出する。ここで、複数の作業者からなるチーム全体のスキルの向上を考えれば、例えば同程度の作業スキルを有する複数の作業者がいる場合には、当該作業を行わせることによって作業スキルの向上が見込める作業者を選択することが望ましい。そこで、処理フロー1000では、抽出された作業者の当該作業における過去の作業スキルの変化を考慮して、作業スキル向上が可能であると判定される場合には当該作業者をそのまま抽出し、作業スキル向上が可能ではないと判定される場合には別の作業者を抽出するようにする。 In this system, variations in work skills of multiple workers are calculated, and if the magnitude of the variations is equal to or greater than a predetermined standard, low-skill workers are selected as workers who perform the work. Here, considering the improvement of the skill of the entire team composed of a plurality of workers, for example, when there are a plurality of workers having the same work skill, the work skill can be expected to be improved by performing the work. It is desirable to select a worker. Therefore, in the processing flow 1000, when it is determined that the work skill can be improved in consideration of the change in the work skill of the extracted worker in the work in the past, the worker is directly extracted and the work is extracted. If it is determined that skill improvement is not possible, another worker is selected.
 処理フロー1000のステップS1009において、作業スキル向上可能性判定部122は、S1007で選ばれた作業者の作業スキル向上可能性を判定する。作業スキルの向上可能性は、例えば当該作業者の過去における当該作業の作業時間(例えば、過去の複数回の作業にわたる作業時間や前回の作業の作業時間)の変化を求めることによって判定することができる。作業スキル向上可能性判定部122は、抽出された作業者の過去の複数回の作業時間を作業情報記憶部102から取得し、それらの作業時間を比較し、作業実施ごとに作業時間が短縮する傾向があれば、当該作業者のその作業における作業スキル向上が可能であると判定する。 In step S1009 of the processing flow 1000, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility of the worker selected in step S1007. The possibility of improving the work skill can be determined by, for example, obtaining a change in the work time of the work in the past by the worker (for example, the work time over a plurality of past works or the work time of the previous work). it can. The work skill improvement possibility determination unit 122 acquires the past work times of the extracted worker a plurality of times from the work information storage unit 102, compares the work times, and shortens the work time each time the work is performed. If there is a tendency, it is determined that the work skill of the worker concerned can be improved.
 一方、作業スキル向上可能性判定部122は、抽出された作業者の過去の複数回の作業時間を比較し、作業実施ごとに作業時間が短縮する傾向がなければ、当該作業者のその作業における作業スキル向上が可能ではないと判定する。この場合には、作業スキル判定部116が、複数の作業者のうち当該作業者を除く他の作業者の中で作業スキルの最も低い作業者を抽出する(S1010、S1011、S1007)。この作業者についても同様に、作業スキル向上可能性判定部122が、作業スキルの向上可能性の判定を行う。 On the other hand, the work skill improvement possibility determination unit 122 compares the extracted work times of the past multiple times of the worker, and if there is no tendency for the work time to be shortened for each work execution, the work skill improvement possibility It is determined that work skills cannot be improved. In this case, the work skill determination unit 116 extracts the worker having the lowest work skill from among the plurality of workers excluding the worker (S1010, S1011, S1007). Similarly, for this worker, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility.
 S1007からS1011のステップを繰り返した結果、S1011において作業候補者が残っていないと判定された場合には、作業者選定部124は、すべての作業者の中で最も作業スキルの高い作業者を当該作業に対応する対応作業者として選定する(S1012)。 As a result of repeating the steps from S1007 to S1011, when it is determined in S1011 that no work candidate remains, the worker selecting unit 124 selects the worker having the highest work skill among all the workers. A corresponding worker corresponding to the work is selected (S1012).
 S1006及びS1007において、低作業スキル者が抽出された場合は以上のとおりであるが、高スキル作業者が抽出された場合においても、同様の処理が行われる(S1006、S1008、S1013~S1016)。 In S1006 and S1007, the case where the low-skilled worker is extracted is as described above, but the same processing is performed when the high-skilled worker is extracted (S1006, S1008, S1013 to S1016).
 次に、作業に対応する作業者の選定に際して、その作業の実施に許容される時間と、その作業を実施する作業者の作業スキル向上可能性とを考慮する場合の作業者選定処理を説明する。図11は、作業者選定処理において、作業の許容時間と作業スキル向上可能性とをいずれも考慮した場合の処理フロー1100を示す。以下の説明においては、図3のフローと異なる部分について主に説明する。 Next, a description will be given of a worker selection process in the case of selecting a worker corresponding to a work, in consideration of a time allowed for performing the work and a possibility of improving the work skill of a worker performing the work. . FIG. 11 shows a processing flow 1100 in the case of considering both the work allowable time and the work skill improvement possibility in the worker selection processing. In the following description, parts different from the flow of FIG. 3 will be mainly described.
 処理フロー1100のステップS1103において、S1102で特定された作業について未経験者がいないと判定された場合に、作業者選定システム100の作業許容時間算出部118は、S1105で作業許容時間を算出する。作業許容時間の算出は、この時点で行われることに限定されるものではなく、例えば、S1108において作業スキルの最も低い作業者が抽出された後に算出してもよい。作業許容時間の算出の考え方は、図8の処理フロー800の説明において上述されている。 In step S1103 of the process flow 1100, when it is determined that there is no inexperienced person for the work specified in S1102, the work allowable time calculation unit 118 of the worker selection system 100 calculates the work allowable time in S1105. The work allowable time is not limited to be calculated at this time, and may be calculated after the worker having the lowest work skill is extracted in S1108, for example. The concept of calculating the work allowable time is described above in the description of the processing flow 800 of FIG.
 次に、ステップS1110において、作業スキル向上可能性判定部122は、S1108で選ばれた作業者の作業スキル向上可能性を判定する。作業スキル向上可能性については、図10の処理フロー1000の説明において上述されている。作業スキル向上可能性判定部122は、抽出された作業者の過去の複数回の作業時間を作業情報記憶部102から取得し、それらの作業時間を比較し、作業実施ごとに作業時間が短縮する傾向があれば、当該作業者のその作業における作業スキルの向上可能性が高いと判定する。 Next, in step S1110, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility of the worker selected in step S1108. The work skill improvement possibility has been described above in the description of the processing flow 1000 in FIG. 10. The work skill improvement possibility determination unit 122 acquires the past work times of the extracted worker a plurality of times from the work information storage unit 102, compares the work times, and shortens the work time each time the work is performed. If there is a tendency, it is determined that there is a high possibility that the worker will improve the work skill of the work.
 次に、ステップS1111において、作業完了可能性判定部120は、S1110において作業スキルの向上可能性が高いと判定された低スキル作業者について、当該作業の最短作業時間と作業許容時間とを比較する。比較の結果、最短作業時間が作業許容時間より短い場合には、作業完了可能性判定部120は、低スキル作業者が当該作業を完了することができるものと判定し、作業者選定部124は、その低スキル作業者を、当該作業に対応する対応作業者として選定する。 Next, in step S1111, the work completion possibility determination unit 120 compares the shortest work time of the work with the work allowable time for the low skill worker determined to have a high possibility of improving the work skill in step S1110. . As a result of the comparison, when the shortest work time is shorter than the work allowable time, the work completion possibility determination unit 120 determines that the low skill worker can complete the work, and the worker selection unit 124 determines , The low skill worker is selected as a corresponding worker corresponding to the work.
 ステップS1110において当該作業者の作業スキル向上が可能ではないと判定された場合、又は、S1111において低スキル作業者が当該作業を終えられないと判定された場合には、作業スキル判定部116が、複数の作業者のうち当該作業者を除く他の作業者の中で作業スキルの最も低い作業者を抽出する(S1112、S1113、S1108)。この作業者についても同様に、作業スキル向上可能性判定部122が作業スキル向上可能性を判定し、作業完了可能性判定部120が作業完了可能性の判定を行う。 When it is determined in step S1110 that the work skill of the worker cannot be improved, or when it is determined in S1111 that the low skill worker cannot finish the work, the work skill determination unit 116 Of the plurality of workers, the worker having the lowest work skill is extracted from the other workers except the worker (S1112, S1113, S1108). Similarly, for this worker, the work skill improvement possibility determination unit 122 determines the work skill improvement possibility, and the work completion possibility determination unit 120 determines the work completion possibility.
 なお、処理フロー1100においては、S1108において抽出された低スキル作業者について、S1110で作業スキルの向上可能性を判定し、S1111で作業完了可能性の判定をしているが、これらの判定を行う順序は逆であってもよい。 In the process flow 1100, the work skill improvement possibility is determined in S1110 and the work completion possibility is determined in S1111 for the low skill worker extracted in S1108. The order may be reversed.
 S1108からS1113のステップを繰り返した結果、S1113において作業候補者が残っていないと判定された場合には、可能な限り短い時間で作業を完了させることができるように、作業者選定部124は、すべての作業者の中で最も作業時間の短い作業者を当該作業に対応する対応作業者として選定する(S1114)。 As a result of repeating the steps from S1108 to S1113, when it is determined in S1113 that no work candidate remains, the worker selecting unit 124 sets the work to be completed in the shortest possible time. A worker having the shortest work time among all the workers is selected as a corresponding worker corresponding to the work (S1114).
 S1007及びS1008において低作業スキル者が抽出された場合は以上のとおりであるが、高スキル作業者が抽出された場合においても、同様の処理が行われる(S1107、S1109、S1115~S1119)。 The above is the case when the low work skill worker is extracted in S1007 and S1008, but the same process is performed when the high skill worker is extracted (S1107, S1109, S1115 to S1119).
 図12は、図11に示される作業者選定処理フロー1110を実行した場合の作業スキル向上の具体例を示す。図12(a)は、簡単な作業(すなわち、作業を行う時間が比較的短い作業)についての作業スキル向上の具体例であり、図12(b)は、より複雑な作業(すなわち、作業を行う時間が比較的長い作業)についての作業スキル向上の具体例である。いずれも、5名の作業者A~Eから構成されるチームにおいていずれかの作業者が当該作業を行う場合を想定しており、当該作業の最短作業時間を作業スキルとする。 FIG. 12 shows a specific example of work skill improvement when the worker selection processing flow 1110 shown in FIG. 11 is executed. FIG. 12A is a specific example of improving work skills for a simple work (that is, a work in which the work time is relatively short), and FIG. 12B shows a more complicated work (that is, a work This is a specific example of improvement of work skills for work that takes a relatively long time). In each case, it is assumed that any one of the workers in the team consisting of the five workers A to E performs the work, and the shortest work time of the work is defined as the work skill.
 図12(a)の1回目の作業について、最も作業時間の短い作業者A又は作業者Bの作業時間(当初の設定値を5分とする)と最も長い作業者Eの作業時間(当初の設定値を15分とする)とを用いて、作業スキルのばらつきの大きさを計算すると、(4)の欄に示されるように「2.0」となる。所定の基準値が1.0に設定されていれば、ばらつきの大きさは所定の基準値以上であるため、作業者Eが抽出される。抽出された作業者Eについて、最短作業時間(15分)と、例えば図9の考え方に基づいて算出された作業許容時間(100分)とを比較すると、作業者Eは、作業許容時間内に作業を終えられると判断されるため、ここでは作業者E(新人)が当該作業を行う対応作業者として選定される。作業者Eが当該作業を行った結果、12分で作業を終えたとすると、作業者Eの当該作業の最短作業時間が12分に更新される。 Regarding the first work shown in FIG. 12A, the work time of the worker A or the worker B having the shortest work time (the initial set value is 5 minutes) and the work time of the worker E having the longest work time (the original work time) The setting value is set to 15 minutes), and the magnitude of the work skill variation is calculated to be "2.0" as shown in the column (4). If the predetermined reference value is set to 1.0, the magnitude of the variation is equal to or larger than the predetermined reference value, and thus the worker E is extracted. For the extracted worker E, when the shortest work time (15 minutes) is compared with the work allowable time (100 minutes) calculated based on the concept of FIG. 9, for example, the worker E is within the work allowable time. Since it is determined that the work can be completed, the worker E (new employee) is selected here as the corresponding worker who performs the work. If the worker E finishes the work in 12 minutes as a result of performing the work, the shortest work time of the work of the worker E is updated to 12 minutes.
 2回目の作業が発生したときには、ばらつきの大きさが所定の基準値より大きく、作業時間の最も長い作業者Eでも作業許容時間内に作業を終えることができると判断され、さらに、作業者Eは、1回目の作業が当初設定されていた最短作業時間(15分)より短い時間(12分)で終了したことから作業スキル向上可能性もあると判断されるため、ここでは作業者Eが対応作業者として選定される。3回目、4回目の作業が発生したときも同様に、それぞれ、作業者D、作業者Cが対応作業者として選定される。 When the second work is performed, it is determined that even the worker E having the longest work time, whose magnitude of variation is larger than the predetermined reference value, can finish the work within the work allowable time. It is judged that there is a possibility that the work skill may be improved because the first work was completed in a time (12 minutes) shorter than the initially set minimum work time (15 minutes). Selected as a response worker. Similarly, when the third and fourth work occurs, the worker D and the worker C are selected as corresponding workers, respectively.
 5回目の作業が発生したときは、最も作業時間の短い作業者A又は作業者Bの作業時間(5分)と、最も長い作業者Eの作業時間(9分)とを用いて、作業スキルのばらつきの大きさが計算される。ばらつきの大きさは「0.8」となり、これは所定の基準値より小さい値であるため、ここでは作業者A又は作業者Bが抽出される。これらの作業者は、最短作業時間内に作業を終えられると判断されるため、ここでは作業者A又は作業者Bが当該作業を行う作業者として選定される。なお、作業者A及び作業者Bのうちどちらを最終的に対応作業者として選定するかに関して、作業スキル向上可能性の判断結果に従うことが望ましいが、成長可能性が同程度の場合(図12(a)の例では両者の過去の作業時間推移が同じ)には、他の任意の基準を用いて選定することができる。ここでは、作業者A(ベテラン)が対応作業者として選定されるものとする。 When the fifth work occurs, the work skill of the worker A or the worker B having the shortest work time (5 minutes) and the work time of the longest worker E (9 minutes) are used. The magnitude of the variation of is calculated. The magnitude of the variation is “0.8”, which is a value smaller than the predetermined reference value. Therefore, the worker A or the worker B is extracted here. Since it is determined that these workers can finish the work within the shortest work time, the worker A or the worker B is selected as the worker who performs the work here. Note that it is desirable to follow the judgment result of the work skill improvement possibility as to which one of the worker A and the worker B is finally selected as the corresponding worker, but when the growth possibility is about the same (FIG. 12). In the example of (a), both past work time transitions are the same), and other arbitrary criteria can be used for selection. Here, it is assumed that the worker A (experienced worker) is selected as the corresponding worker.
 以下、6回目~10回目の作業が発生した場合も同様に対応作業者が選定される。このように、10回の作業において順次作業者が選定されたことによって、作業スキルが低かった作業者Eのスキルが向上し、結果としてチーム全体のスキルも向上させることができる。 Hereafter, when the 6th to 10th work occurs, the corresponding worker is also selected. In this way, by sequentially selecting the workers in the ten times of work, the skill of the worker E having low work skill is improved, and as a result, the skill of the entire team can be improved.
 図12(b)に示される例を説明すると、まず、1回目の作業発生時に、上記と同様に作業スキルのばらつきの大きさが計算される。ばらつきの大きさが「0.7」であるため、所定の基準値が1.0に設定されていれば、最も作業スキルの高い作業者Aが抽出される。この作業者の最短作業時間は60分に設定されており、作業許容時間95分より短いため、この作業者は時間内に作業を終えられると判断され、作業者A(ベテラン)が対応作業者として選定される。 Explaining the example shown in FIG. 12 (b), first, when the first work occurs, the size of the variation in work skills is calculated in the same manner as above. Since the magnitude of the variation is “0.7”, if the predetermined reference value is set to 1.0, the worker A having the highest work skill is extracted. The minimum work time of this worker is set to 60 minutes, which is shorter than the work allowable time of 95 minutes. Therefore, it is determined that this worker can finish the work in time, and the worker A (experienced worker) is the corresponding worker. Is selected as
 次に、2回目の作業が発生したときには、作業スキルのばらつきの大きさは1.0以上であるため、最も作業スキルの低い作業者Eが抽出される。しかし、作業者Eは、当該作業の最短作業時間が100分に設定されており、作業許容時間95分より長いため、作業者Eでは作業許容時間内に作業を終えられないと判断される。この場合には、作業者Eを除いた他の作業者のうち作業スキルの最も低い作業者である作業者Dが対応作業者として選定される(なお、作業者C及び作業者Dのうち作業者Dを選定する根拠については、任意の基準に基づくものとすることができる)。以下、3回目~7回目の作業が発生した場合も同様に対応作業者が選定される。 Next, when the second work occurs, the variation of the work skill is 1.0 or more, so the worker E having the lowest work skill is selected. However, since the minimum work time of the worker E is set to 100 minutes, which is longer than the work allowable time 95 minutes, it is determined that the worker E cannot finish the work within the work allowable time. In this case, among the other workers except the worker E, the worker D having the lowest work skill is selected as the corresponding worker (note that among the workers C and D, the work is performed). The basis for selecting the person D can be based on arbitrary criteria). In the case where the third to seventh work occurs, the corresponding worker is similarly selected.
 8回目の作業が発生したときには、ばらつきの大きさが0.9であり、作業者Aの作業最短時間が作業許容時間以内であるため、作業者Aが抽出されるはずである。しかし、作業者Aは、7回目の作業への対応作業者として選定されて作業を行った結果、作業時間の短縮効果がないことから、作業スキル向上が可能ではないと判断される。したがって、ここでは、残りの作業者B~作業者Eについて、ばらつきの大きさ、作業完了可能性が判断され、結果として作業者Bが対応作業者として選定されることになる。このように、10回の作業において順次作業者が選定されたことによって、作業スキルが低かった作業者C~作業者Eだけでなく作業者A及び作業者Bの作業スキルも向上し、結果としてチーム全体のスキルも向上させることができる。 When the eighth operation occurs, the variation is 0.9 and the minimum work time of the worker A is within the work allowable time. Therefore, the worker A should be extracted. However, as a result of the worker A being selected as a worker corresponding to the seventh work and performing the work, there is no effect of shortening the work time, and thus it is determined that the work skill cannot be improved. Therefore, here, with respect to the remaining workers B to E, the degree of variation and the work completion possibility are determined, and as a result, the worker B is selected as the corresponding worker. In this way, by sequentially selecting the workers in the ten times of work, the work skills of not only the workers C to E who have low work skills but also the workers A and B are improved, and as a result, The skills of the entire team can also be improved.
 以上、詳細に説明したとおり、本発明によれば、設備において必要となる種々の作業について、低スキル者の作業スキルを早期に向上させることができるだけでなく、高スキル者も作業スキルをさらに向上させることができる。また、設備の運転に当たる複数の作業者からなる作業チーム全体としての作業スキルを向上させることができる。
 

 
As described above in detail, according to the present invention, not only can the work skills of low-skilled workers be improved at an early stage, but also the high-skilled workers can further improve the work skills of various works required in equipment. Can be made. Further, it is possible to improve the work skills of the entire work team including a plurality of workers who operate the equipment.


Claims (27)

  1.  設備における必要な作業に対応する作業者を複数の作業者の中から自動的に選定するための作業者選定システムであって、
     設備における必要な作業に関する情報である作業情報と、複数の作業者の情報と各々の作業者が過去に行った作業に関する情報とを含む作業者情報と、前記作業に対応する前記複数の作業者の当該作業に対する作業スキルに関する情報である作業スキル情報とを格納した記憶部と、
     対応が必要な作業の発生時に、前記作業情報と、前記作業者情報と、前記作業スキル情報とを前記記憶部から取得し、複数の作業者間の当該作業に対する作業スキルのばらつきの大きさを求める、作業スキルばらつき算定部と、
     前記ばらつきの大きさが所定の基準以上の場合には前記作業スキルの最も低い作業者を抽出し、前記ばらつきの大きさが所定の基準より小さい場合には前記作業スキルの最も高い作業者を抽出する、作業スキル判定部と、
     抽出された前記作業者を前記作業への対応作業者として選定し、該対応作業者の作業者情報を出力する、作業者選定部と、
     前記作業者選定部によって選定された前記対応作業者が対応した作業の結果に基づいて、前記記憶部の前記作業情報、前記作業者情報、及び前記作業者スキル情報のいずれか又はこれらの組み合わせを更新する情報更新部と
    を有することを特徴とする作業者選定システム。
    A worker selection system for automatically selecting a worker corresponding to necessary work in equipment from a plurality of workers,
    Work information, which is information about necessary work in the facility, worker information including information about a plurality of workers and information about work performed by each worker in the past, and the plurality of workers corresponding to the work A storage unit that stores work skill information that is information about work skills for the relevant work of
    When a work that needs to be handled occurs, the work information, the worker information, and the work skill information are acquired from the storage unit, and the magnitude of the variation in the work skill for the work among a plurality of workers is determined. And the work skill variation calculation section
    If the magnitude of the variation is greater than or equal to a predetermined criterion, the worker with the lowest work skill is extracted, and if the magnitude of the variation is less than the predetermined criterion, the worker with the highest work skill is extracted. Yes, with the work skill determination section,
    A worker selecting unit that selects the extracted worker as a worker corresponding to the work and outputs worker information of the worker.
    Based on the result of the work corresponding to the corresponding worker selected by the worker selecting unit, any one or a combination of the work information in the storage unit, the worker information, and the worker skill information is displayed. A worker selection system having an information updating unit for updating.
  2.  前記記憶部は、設備によって生産される物品の生産関連情報を格納しており、
     前記生産関連情報を前記記憶部から取得し、前記作業を行うために設備の稼働を停止しても生産計画を達成することができる許容時間を算出する作業許容時間算出部と、
     前記作業スキル判定部によって抽出された前記作業者が、前記許容時間内に当該作業を完了することができるかどうかを判定する、作業完了可能性判定部と、
    をさらに有し、
     前記作業完了可能性判定部によって前記作業者が当該作業を完了することができると判定された場合には、前記作業者選定部は、前記作業者を前記対応作業者として選定する、
    請求項1に記載の作業者選定システム。
    The storage unit stores the production related information of the articles produced by the equipment,
    A work allowable time calculating unit that acquires the production related information from the storage unit and calculates an allowable time that can achieve a production plan even when the operation of the equipment is stopped to perform the work;
    The worker extracted by the work skill determination unit determines whether or not the work can be completed within the allowable time, and a work completion possibility determination unit,
    Further has
    If the work completion possibility determination unit determines that the worker can complete the work, the worker selection unit selects the worker as the corresponding worker.
    The worker selection system according to claim 1.
  3.  前記作業スキル判定部によって抽出された前記作業者について、前記作業者の前記作業における過去の作業スキルの変化を求め、その変化に基いて作業スキルの向上可能性を判定する、作業スキル向上可能性判定部をさらに有し、
     前記作業者選定部は、前記作業スキル向上可能性判定部によって前記作業者の作業スキル向上が可能であると判定された場合には、前記作業者を前記対応作業者として選定する
    請求項1に記載の作業者選定システム。
    For the worker extracted by the work skill determination unit, a change in past work skill in the work of the worker is obtained, and a work skill improvement possibility is determined based on the change, work skill improvement possibility Further having a determination unit,
    The worker selection unit selects the worker as the corresponding worker when the work skill improvement possibility determination unit determines that the work skill of the worker can be improved. Described worker selection system.
  4.  前記記憶部は、設備によって生産される物品の生産関連情報を格納しており、
     前記生産関連情報を前記記憶部から取得し、前記作業を行うために設備の稼働を停止しても生産計画を達成することができる許容時間を算出する作業許容時間算出部と、
     前記作業スキル判定部によって抽出された前記作業者が、前記許容時間内に当該作業を完了することができるかどうかを判定する、作業完了可能性判定部と、
     前記作業スキル判定部によって抽出された前記作業者について、前記作業者の前記作業に対する過去の作業スキルの変化を求め、その変化に基いて作業スキルの向上可能性を判定する、作業スキル向上可能性判定部と
    をさらに有し、
     前記作業者選定部は、前記作業完了可能性判定部によって前記作業者が当該作業を完了することができると判定され、かつ、前記作業スキル向上可能性判定部によって前記作業者の作業スキル向上が可能であると判定された場合には、前記作業者を前記対応作業者として選定する、
    請求項1に記載の作業者選定システム。
    The storage unit stores the production related information of the articles produced by the equipment,
    A work allowable time calculating unit that acquires the production related information from the storage unit and calculates an allowable time that can achieve a production plan even when the operation of the equipment is stopped to perform the work;
    The worker extracted by the work skill determination unit determines whether or not the work can be completed within the allowable time, and a work completion possibility determination unit,
    For the worker extracted by the work skill determination unit, a change in the past work skill of the worker with respect to the work is obtained, and the work skill improvement possibility is determined based on the change, work skill improvement possibility Further having a determination unit,
    The worker selection unit determines that the worker can complete the work by the work completion possibility determination unit, and improves the work skill of the worker by the work skill improvement possibility determination unit. When it is determined that it is possible, the worker is selected as the corresponding worker,
    The worker selection system according to claim 1.
  5.  前記作業スキル判定部によって前記作業スキルの最も低い作業者が抽出され、当該作業者が、前記作業完了可能性判定部よって前記作業を完了することができないと判定された場合又は前記作業スキル向上可能性判定部によって作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定部は、前記複数の作業者のうち当該作業者を除く他の作業者の中で前記作業スキルの最も低い作業者を抽出する
    請求項2又は請求項4に記載の作業者選定システム。
    When the worker having the lowest work skill is extracted by the work skill determination unit, and the work completion possibility determination unit determines that the worker cannot complete the work, or the work skill can be improved. When it is determined that the work skill cannot be improved by the sex determination unit, the work skill determination unit determines the most of the work skills among the workers other than the worker among the plurality of workers. The worker selection system according to claim 2, wherein low workers are extracted.
  6.  前記作業スキル判定部が、前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定部は、前記複数の作業者の中から、過去において当該作業に対応した際に要した時間のうち最短の作業時間が最も短い作業者を選定する、請求項5に記載の作業者選定システム。 When the work skill determination unit cannot extract other workers from the plurality of workers except the worker, the worker selection unit selects the work in the past from the plurality of workers. The worker selection system according to claim 5, wherein a worker having the shortest work time is selected from among the time required to cope with the above.
  7.  前記作業スキル判定部によって前記作業スキルの最も低い作業者が抽出され、当該作業者が、前記作業スキル向上可能性判定部によって作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定部は、前記複数の作業者のうち当該作業者を除く他の作業者の中で前記作業スキルの最も低い作業者を抽出する
    請求項3に記載の作業者選定システム。
    When the worker having the lowest work skill is extracted by the work skill determination unit and the worker is determined not to be able to improve the work skill by the work skill improvement possibility determination unit, the work skill The worker selection system according to claim 3, wherein the determination unit extracts a worker having the lowest work skill among workers other than the worker among the plurality of workers.
  8.  前記作業スキル判定部が、前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定部は、前記複数の作業者のうち前記作業スキルの最も高い作業者を選定する、
    請求項7に記載の作業者選定システム。
    When the work skill determination unit cannot extract other workers except the worker from the plurality of workers, the worker selection unit determines that the work skill is the highest among the plurality of workers. Select workers,
    The worker selection system according to claim 7.
  9.  前記作業スキル判定部によって前記作業スキルの最も高い作業者が抽出され、当該作業者が、前記作業完了可能性判定部よって前記作業を完了することができないと判定された場合又は前記作業スキル向上可能性判定部によって作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定部は、前記複数の作業者のうち当該作業者を除く他の作業者の中で前記作業スキルの最も高い作業者を抽出する、
    請求項2又は請求項4に記載の作業者選定システム。
    When the worker having the highest work skill is extracted by the work skill determination unit, and the work completion possibility determination unit determines that the worker cannot complete the work, or the work skill can be improved. When it is determined that the work skill cannot be improved by the sex determination unit, the work skill determination unit determines the most of the work skills among the workers other than the worker among the plurality of workers. Extract high workers,
    The worker selection system according to claim 2 or 4.
  10.  前記作業スキル判定部が、前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定部は、前記複数の作業者の中から、過去において当該作業に対応した際に要した時間のうち最短の作業時間が最も短い作業者を選定する、請求項9に記載の作業者選定システム。 When the work skill determination unit cannot extract other workers from the plurality of workers except the worker, the worker selection unit selects the work in the past from the plurality of workers. The worker selection system according to claim 9, wherein a worker having the shortest work time is selected from among the time required for dealing with the above.
  11.  前記作業スキル判定部によって前記作業スキルの最も高い作業者が抽出され、当該作業者が、前記作業スキル向上可能性判定部によって作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定部は、前記複数の作業者のうち当該作業者を除く他の作業者の中で前記作業スキルの最も高い作業者を抽出する、
    請求項3に記載の作業者選定システム。
    If the worker having the highest work skill is extracted by the work skill determination unit and the worker is determined not to be able to improve the work skill by the work skill improvement possibility determination unit, the work skill is determined. The determination unit extracts a worker having the highest work skill among the workers other than the worker among the plurality of workers,
    The worker selection system according to claim 3.
  12.  前記作業スキル判定部が、前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定部は、前記複数の作業者のうち前記作業スキルの最も高い作業者を選定する、
    請求項11に記載の作業者選定システム。
    When the work skill determination unit cannot extract other workers except the worker from the plurality of workers, the worker selection unit determines that the work skill is the highest among the plurality of workers. Select workers,
    The worker selection system according to claim 11.
  13.  前記複数の作業者の中に前記作業を行った経験のない作業者がいるかどうかを判定し、当該作業者がいる場合にはその作業者に前記作業に対する仮作業スキルを設定する、作業未経験者判定部をさらに含む、請求項1から請求項4までのいずれか1項に記載の作業者選定システム。 A work inexperienced person who determines whether or not there is a worker who has not performed the work among the plurality of workers and sets temporary work skills for the work to the worker when the worker exists The worker selection system according to any one of claims 1 to 4, further comprising a determination unit.
  14.  設備における必要な作業に対応する作業者を複数の作業者の中から自動的に選定するための作業者選定方法であって、
     対応が必要な作業が発生したときに、設備における必要な作業に関する情報である作業情報と、複数の作業者の情報とその作業者が過去に行った作業の情報とを含む作業者情報と、前記複数の作業者の当該作業に対する作業スキルに関する情報である作業スキル情報とを取得し、作業スキルのばらつきの大きさを求める、作業スキルばらつき算定ステップと、
     前記ばらつきの大きさが所定の基準以上の場合には前記作業スキルの最も低い作業者を抽出し、前記ばらつきの大きさが所定の基準より小さい場合には前記作業スキルの最も高い作業者を抽出する、作業スキル判定ステップと、
     抽出された前記作業者を前記作業への対応作業者として選定し、該対応作業者の作業者情報を出力する、作業者選定ステップと、
     前記作業者選定ステップによって選定された前記対応作業者が対応した作業の結果に基づいて、前記作業情報、前記作業者情報、及び前記作業者スキル情報のいずれか又はこれらの組み合わせを更新する情報更新ステップと
    を含むことを特徴とする作業者選定方法。
    A worker selection method for automatically selecting a worker corresponding to a necessary work in equipment from a plurality of workers,
    When a work that requires a response occurs, work information that is information about the work required in the facility, worker information that includes information about a plurality of workers and information about the work performed by the worker in the past, and Acquiring work skill information, which is information about work skills for the work of the plurality of workers, and obtaining the magnitude of the work skill variation, a work skill variation calculation step,
    If the magnitude of the variation is greater than or equal to a predetermined criterion, the worker with the lowest work skill is extracted, and if the magnitude of the variation is less than the predetermined criterion, the worker with the highest work skill is extracted. Yes, the work skill determination step,
    A worker selecting step of selecting the extracted worker as a worker corresponding to the work and outputting worker information of the worker.
    Information update for updating any one or a combination of the work information, the worker information, and the worker skill information based on the result of the work corresponding to the corresponding worker selected by the worker selecting step. And a step of selecting a worker.
  15.  設備によって生産される物品の生産関連情報を取得し、該生産関連情報を用いて、前記作業を行うために設備の稼働を停止しても生産計画を達成することができる許容時間を算出する許容時間算出ステップと、
     前記作業スキル判定ステップにおいて抽出された前記作業者が、前記許容時間内に当該作業を完了することができるかどうかを判定する、作業完了可能性判定ステップと、
    をさらに含み、
     前記作業完了可能性判定ステップにおいて前記作業者が当該作業を完了することができると判定された場合には、前記作業者選定ステップにおいて、前記作業者を前記対応作業者として選定する、
    請求項14に記載の作業者選定方法。
    Allowance for obtaining the production-related information of the articles produced by the facility and using the production-related information to calculate the permissible time at which the production plan can be achieved even when the operation of the facility is stopped to perform the work. Time calculation step,
    The work completion possibility determination step, in which the worker extracted in the work skill determination step determines whether or not the work can be completed within the allowable time,
    Further including,
    When it is determined that the worker can complete the work in the work completion possibility determination step, the worker is selected as the corresponding worker in the worker selection step,
    The worker selection method according to claim 14.
  16.  前記作業スキル判定ステップにおいて抽出された前記作業者について、前記作業者の前記作業に対する過去の作業スキルの変化を求め、その変化に基いて作業スキルの向上可能性を判定する、作業スキル向上可能性判定ステップをさらに含み、
     前記作業スキル向上可能性判定ステップにおいて前記作業者の作業スキル向上が可能であると判定された場合には、前記作業者選定ステップにおいて、前記作業者を前記対応作業者として選定する
    請求項14に記載の作業者選定方法。
    For the worker extracted in the work skill determination step, a change in past work skill of the worker with respect to the work is obtained, and the work skill improvement possibility is determined based on the change, work skill improvement possibility Further comprising a determination step,
    15. The worker is selected as the corresponding worker in the worker selecting step when it is judged in the work skill improving possibility judging step that the worker's work skill can be improved. Described worker selection method.
  17.   設備によって生産される物品の生産関連情報を取得し、該生産関連情報を用いて、前記作業を行うために設備の稼働を停止しても生産計画を達成することができる許容時間を算出する許容時間算出ステップと、
     前記作業スキル判定ステップにおいて抽出された前記作業者が、前記許容時間内に当該作業を完了することができるかどうかを判定する、作業完了可能性判定ステップと、
     前記作業スキル判定ステップにおいて抽出された前記作業者について、前記作業者の前記作業に対する過去の作業スキルの変遷情報に基いて作業スキルの向上可能性を判定する、作業スキル向上可能性判定ステップと
    をさらに含み、
     前記作業完了可能性判定ステップにおいて前記作業者が当該作業を完了することができると判定され、かつ、前記作業スキル向上可能性判定ステップにおいて前記作業者の作業スキル向上が可能であると判定された場合には、前記作業者選定ステップにおいて、前記作業者を前記対応作業者として選定する、
    請求項14に記載の作業者選定方法。
    Allowance for obtaining the production-related information of the articles produced by the facility and using the production-related information to calculate the permissible time at which the production plan can be achieved even when the operation of the facility is stopped to perform the work. Time calculation step,
    The work completion possibility determination step, in which the worker extracted in the work skill determination step determines whether or not the work can be completed within the allowable time,
    For the worker extracted in the work skill determination step, a work skill improvement possibility determination step of determining a work skill improvement possibility based on transition information of past work skill for the work of the worker, and a work skill improvement possibility determination step. In addition,
    In the work completion possibility determination step, it is determined that the worker can complete the work, and in the work skill improvement possibility determination step, it is determined that the work skill of the worker can be improved. In this case, the worker is selected as the corresponding worker in the worker selecting step,
    The worker selection method according to claim 14.
  18.  前記作業スキル判定ステップにおいて前記作業スキルの最も低い作業者が抽出され、当該作業者が、前記作業完了可能性判定ステップにおいて前記作業を完了することができないと判定された場合又は前記作業スキル向上可能性判定ステップにおいて作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定ステップにおいて、前記複数の作業者のうち当該作業者を除く他の作業者のうち前記作業スキルの最も低い作業者を抽出する
    請求項15又は請求項17に記載の作業者選定方法。
    When the worker with the lowest work skill is extracted in the work skill determination step and the worker is determined to be unable to complete the work in the work completion possibility determination step, or the work skill can be improved. When it is determined that the work skill cannot be improved in the sex determination step, the work skill is the lowest among the plurality of workers other than the worker in the work skill determination step. The worker selecting method according to claim 15 or 17, wherein the worker is extracted.
  19.  前記作業スキル判定ステップにおいて前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定ステップにおいて、前記複数の作業者の中から、過去において当該作業に対応した際に要した時間のうち最短の作業時間が最も短い作業者を選定する、請求項18に記載の作業者選定方法。 When it is not possible to extract other workers from the plurality of workers other than the worker in the work skill determination step, in the worker selection step, the work is selected in the past from the plurality of workers. The worker selection method according to claim 18, wherein a worker having the shortest work time is selected from among the time required for handling.
  20.  前記作業スキル判定ステップにおいて前記作業スキルの最も低い作業者が抽出され、当該作業者が、前記作業スキル向上可能性判定ステップにおいて作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定ステップにおいて、前記複数の作業者のうち当該作業者を除く他の作業者のうち前記作業スキルの最も低い作業者を抽出する
    請求項16に記載の作業者選定方法。
    When the worker having the lowest work skill is extracted in the work skill determination step and the worker is determined not to be able to improve the work skill in the work skill improvement possibility determination step, the work skill is determined. The worker selecting method according to claim 16, wherein, in the determining step, a worker having the lowest work skill is extracted from other workers except the worker among the plurality of workers.
  21.  前記作業スキル判定ステップにおいて前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定ステップにおいて、前記複数の作業者のうち前記作業スキルの最も高い作業者を選定する、
    請求項20に記載の作業者選定方法。
    In the work skill determination step, if the other workers other than the worker cannot be extracted from the plurality of workers, the worker having the highest work skill among the plurality of workers in the worker selection step. Select a person,
    The worker selection method according to claim 20.
  22.  前記作業スキル判定ステップにおいて前記作業スキルの最も高い作業者が抽出され、当該作業者が、前記作業完了可能性判定ステップにおいて前記作業を完了することができないと判定された場合又は前記作業スキル向上可能性判定ステップにおいて作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定ステップにおいて、前記複数の作業者のうち当該作業者を除く他の作業者のうち前記作業スキルの最も高い作業者を抽出する、
    請求項15又は請求項17に記載の作業者選定方法。
    When the worker having the highest work skill is extracted in the work skill determination step and the worker is determined to be unable to complete the work in the work completion possibility determination step, or the work skill can be improved. When it is determined that the work skill cannot be improved in the sex determination step, the work skill is the highest among the plurality of workers other than the worker in the work skill determination step. Extract workers,
    The worker selection method according to claim 15 or 17.
  23.  前記作業スキル判定ステップにおいて前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定ステップにおいて、前記複数の作業者の中から、過去において当該作業に対応した際に要した時間のうち最短の作業時間が最も短い作業者を選定する、請求項22に記載の作業者選定方法。 When it is not possible to extract other workers from the plurality of workers other than the worker in the work skill determination step, in the worker selection step, the work is selected in the past from the plurality of workers. 23. The worker selection method according to claim 22, wherein a worker having the shortest work time is selected from among the time required for handling.
  24.  前記作業スキル判定ステップにおいて前記作業スキルの最も高い作業者が抽出され、当該作業者が、前記作業スキル向上可能性判定ステップにおいて作業スキル向上が可能ではないと判定された場合には、前記作業スキル判定ステップにおいて、前記複数の作業者のうち当該作業者を除く他の作業者のうち前記作業スキルの最も高い作業者を抽出する、
    請求項16に記載の作業者選定方法。
    When the worker having the highest work skill is extracted in the work skill determination step and the worker is determined not to be able to improve the work skill in the work skill improvement possibility determination step, the work skill is determined. In the determination step, the worker having the highest work skill is extracted from other workers except the worker among the plurality of workers.
    The worker selection method according to claim 16.
  25.  前記作業スキル判定ステップにおいて前記複数の作業者のうち当該作業者を除く他の作業者を抽出できない場合には、前記作業者選定ステップにおいて、前記複数の作業者のうち前記作業スキルの最も高い作業者を選定する、
    請求項24に記載の作業者選定方法。
    In the work skill determination step, if the other workers other than the worker cannot be extracted from the plurality of workers, the worker having the highest work skill among the plurality of workers in the worker selection step. Select a person,
    The worker selection method according to claim 24.
  26.  前記複数の作業者の中に前記作業を行った経験のない作業者がいるかどうかを判定し、当該作業者がいる場合にはその作業者に前記作業に対する仮作業スキルを設定する、作業未経験者判定ステップをさらに含む、請求項14から請求項17までのいずれか1項に記載の作業者選定方法。 A work inexperienced person who determines whether or not there is a worker who has not performed the work among the plurality of workers and sets temporary work skills for the work to the worker when the worker exists The worker selection method according to any one of claims 14 to 17, further comprising a determination step.
  27.  コンピュータ・システム上で実行可能なコンピュータ・プログラムであって、請求項14から請求項26までのいずれか1項に記載の方法のステップを前記コンピュータ・システムに実行させるための命令を含む、コンピュータ・プログラム。

     
    A computer program executable on a computer system, the computer program comprising instructions for causing the computer system to perform the steps of the method according to any one of claims 14 to 26. program.

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