WO2020080116A1 - 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 - Google Patents

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 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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Prior art keywords
worker
work
work skill
workers
skill
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PCT/JP2019/038980
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English (en)
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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Priority to KR1020207019807A priority Critical patent/KR102265559B1/ko
Priority to CN201980026812.4A priority patent/CN111989701B/zh
Publication of WO2020080116A1 publication Critical patent/WO2020080116A1/ja

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063112—Skill-based matching of a person or a group to a task
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063116—Schedule adjustment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing 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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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003256619A (ja) * 2002-02-28 2003-09-12 Sumitomo Forestry Co Ltd 品質管理システム
JP2012174098A (ja) * 2011-02-23 2012-09-10 Hitachi Ltd 作業計画作成装置及び作業計画作成方法
JP2014178449A (ja) * 2013-03-14 2014-09-25 Nec Fielding Ltd 教育支援装置、教育支援システム、教育支援方法、及びプログラム
JP2018045059A (ja) * 2016-09-13 2018-03-22 株式会社ジェイテクト 教育支援装置

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002279019A (ja) 2001-03-16 2002-09-27 Pfu Ltd 作業者教育システムとその制御方法ならびにその記録媒体
CN101238491B (zh) * 2005-07-25 2011-11-02 Tlv有限公司 机器管理方法、该机器管理方法所采用的分析系统、以及分析用数据结构、其机器管理方法所采用的维修检查支援装置
WO2007143091A2 (en) * 2006-06-02 2007-12-13 Topcoder, Inc. System and method for staffing and rating
CN101320329A (zh) * 2008-07-08 2008-12-10 中国科学院软件研究所 一种基于任务优先级的抢占式人力资源配置方法和系统
JP2010244176A (ja) 2009-04-02 2010-10-28 Toshiba Corp 人員配置支援システム
US9875448B2 (en) * 2011-11-30 2018-01-23 At&T Intellectual Property I, L.P. Mobile service platform
JP2013254241A (ja) 2012-06-05 2013-12-19 Dainippon Printing Co Ltd 作業員配置設定装置、作業員配置設定方法、作業員配置設定用プログラム及び情報記録媒体
JP6123605B2 (ja) * 2013-09-20 2017-05-10 株式会社ダイフク 物流システム
JP2016194736A (ja) 2015-03-31 2016-11-17 株式会社日立製作所 プロジェクト実行計画立案支援方法、プロジェクト実行計画立案支援プログラム、および、プロジェクト実行計画立案支援システム
JP6960218B2 (ja) * 2016-11-18 2021-11-05 株式会社ベネッセスタイルケア サービス支援システム、サービス支援方法及びプログラム
JP6962539B2 (ja) * 2017-02-24 2021-11-05 株式会社レクサー・リサーチ 業務計画最適化方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003256619A (ja) * 2002-02-28 2003-09-12 Sumitomo Forestry Co Ltd 品質管理システム
JP2012174098A (ja) * 2011-02-23 2012-09-10 Hitachi Ltd 作業計画作成装置及び作業計画作成方法
JP2014178449A (ja) * 2013-03-14 2014-09-25 Nec Fielding Ltd 教育支援装置、教育支援システム、教育支援方法、及びプログラム
JP2018045059A (ja) * 2016-09-13 2018-03-22 株式会社ジェイテクト 教育支援装置

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