CN112805639A - Job management device and job management method - Google Patents

Job management device and job management method Download PDF

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Publication number
CN112805639A
CN112805639A CN201880098311.2A CN201880098311A CN112805639A CN 112805639 A CN112805639 A CN 112805639A CN 201880098311 A CN201880098311 A CN 201880098311A CN 112805639 A CN112805639 A CN 112805639A
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time
operator
cycle time
job management
processable
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佐佐木亮辅
松尾光恭
岸本博吉
小林高聪
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • 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
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • 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

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  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The job management device of the present invention includes: an operator information storage unit (106) that stores, for each of a plurality of work processes constituting a series of processes, the process cycle time of each operator for each of a plurality of time periods in the amount of a plurality of operators; and a calculation unit (112) that, for each of a plurality of time periods that constitute the operating time of the series of processes, reads the process cycle time of the time period of the operator from the operator information storage unit, calculates the number of processable units in the series of processes for each time period using the read process cycle time, and adds the calculated number of processable units for each time period together to calculate the number of processable units in the operating time.

Description

Job management device and job management method
Technical Field
The invention relates to a job management apparatus and a job management method.
Background
In a conventional production management system, takt time is calculated from the number of planned production stations, and the arrangement of staff is determined so as to satisfy the takt time.
For example, there is a method of calculating a cycle time for each element operation of each operator in a manufacturing process and determining a staff arrangement using a tact time and the cycle time for each element operation of each operator (see patent document 1).
Patent document 1: japanese laid-open patent publication No. 2007-293690
Disclosure of Invention
In the above-described conventional system, the latest value is used for each cycle time of each element operation of each operator. It is considered that it is effective to use the latest value when the cycle time of each element operation of each operator is shortened by proficiency. However, there are some operators who have a slow work and a long cycle time in the morning, but have a high work speed and a short cycle time in the afternoon, and conversely, there are also operators who have a high work speed and a short cycle time in the morning, but have a low work speed and a long cycle time in the afternoon due to fatigue. In such a case, even if the latest cycle time value is used and the staff arrangement is adopted for production of the amount expected to achieve the planned production number, the estimation accuracy of the producible number is low, and production of the amount of the planned production number may not be actually achieved.
The present invention has been made to solve the above-described problems, and an object of the present invention is to provide an apparatus and a method capable of estimating the number of stations with higher accuracy.
The work management apparatus according to the present invention includes: an operator information storage unit that stores, for each of a plurality of work processes constituting a series of processes, a process cycle time of each operator for each of a plurality of time periods in an amount corresponding to the plurality of operators; and a calculation unit that reads, for each of a plurality of time periods constituting an operating time of the series of processes, the process cycle time of the time period of the operator from the operator information storage unit, calculates the number of processable stations in the series of processes for each time period using the read process cycle time, and calculates the number of processable stations in the operating time by adding the number of processable stations calculated for each time period.
In the work management method according to the present invention, the arithmetic device reads, from the storage device, the process cycle time for each time slot constituting the operation time of the operator arranged for each of the plurality of work processes constituting the series of processes by the amount of the plurality of operators, the arithmetic device calculates the number of processable stations of the series of processes for each time slot using the read process cycle time, and the arithmetic device calculates the number of processable stations in the operation time by adding the number of processable stations calculated for each time slot.
ADVANTAGEOUS EFFECTS OF INVENTION
The job management apparatus and the job management method according to the present invention have an effect that the processable number of stations is calculated using the reference cycle time for each time zone, and therefore, when the reference cycle time varies for each time zone, the processable number of stations can be estimated more accurately than before.
Drawings
Fig. 1 is a diagram showing an example of a system configuration of a job management apparatus according to an embodiment of the present invention.
Fig. 2 is a diagram showing an example of a hardware configuration of the job management apparatus according to the embodiment of the present invention.
Fig. 3 is a diagram showing a configuration example of the process of the production line according to the embodiment of the present invention.
Fig. 4 is a diagram showing actual work performance data according to the embodiment of the present invention.
Fig. 5A is a diagram showing analysis reference data according to the embodiment of the present invention.
Fig. 5B is a diagram showing analysis reference data according to the embodiment of the present invention.
Fig. 6 is a diagram showing actual work performance data according to the embodiment of the present invention.
Fig. 7A is a diagram showing worker data according to the embodiment of the present invention.
Fig. 7B is a diagram showing worker data according to the embodiment of the present invention.
Fig. 7C is a diagram showing operator data according to the embodiment of the present invention.
Fig. 8A is a diagram showing production plan data according to the embodiment of the present invention.
Fig. 8B is a diagram showing a method of calculating the number of producible stations according to the embodiment of the present invention.
Fig. 9A is a diagram showing production plan data according to the embodiment of the present invention.
Fig. 9B is a diagram showing a method of calculating the number of producible stations according to the embodiment of the present invention.
Fig. 10 is a flowchart showing a method of determining a staff arrangement according to an embodiment of the present invention.
Fig. 11 is a diagram showing worker data according to the embodiment of the present invention.
Fig. 12 is a flowchart showing a method of determining a staff arrangement according to an embodiment of the present invention.
Fig. 13 is a diagram showing actual work performance data according to the embodiment of the present invention.
Fig. 14A is a diagram showing operator data according to the embodiment of the present invention.
Fig. 14B is a diagram showing worker data according to the embodiment of the present invention.
Fig. 15A is a graph of operator data according to the embodiment of the present invention.
Fig. 15B is a graph of operator data according to the embodiment of the present invention.
Fig. 16 is a flowchart showing a method of determining a staff arrangement according to an embodiment of the present invention.
Fig. 17 is a diagram showing worker data according to the embodiment of the present invention.
Fig. 18 is a diagram showing a calculation method for correcting the configuration of the process according to the embodiment of the present invention.
Fig. 19 is a diagram showing a method of calculating the number of producible stations according to the embodiment of the present invention.
Detailed Description
Hereinafter, a job management apparatus and a job management method according to an embodiment of the present invention will be described in detail with reference to the drawings. The present invention is not limited to the embodiments.
Provided is an implementation mode.
Fig. 1 is a system configuration diagram of a work management apparatus according to an embodiment of the present invention. The job management apparatus includes a storage device 100, an arithmetic device 110, a data input unit 121, a display unit 122, and a communication unit 123. The storage device 100 includes a plurality of storage units. The device operation data storage unit 101 is a storage area for storing operation data of devices in a production site. The sensed data storage unit 102 is a storage area for storing output data (sensed data) of a sensor in a production site. The image data storage unit 103 is a storage area for storing shot data at each production site. The analysis reference data storage unit 104 is a storage area for storing analysis reference data when analyzing various data. The work actual performance data storage unit 105 is a storage area for storing work actual performance data in the production site. The worker data storage unit (worker information storage unit) 106 is a storage area for storing data relating to workers. The production plan data storage unit (plan storage unit) 107 is a storage area for storing a production plan including staff arrangement information and operation time information in a production site. The arithmetic device 110 includes a data analysis unit (analysis unit) 111, a staff placement arithmetic unit (arithmetic unit) 112, and a tendency visualization unit (visualization unit) 113. The data analysis unit 111 is a software or hardware module or a combination thereof that analyzes various data such as device operation data, sensed data, and image data using the analysis reference data, and integrates them into actual work performance data to generate worker data. The staffing calculation unit 112 is a software or hardware module or a combination thereof that evaluates and corrects staffing information in the production plan stored in the production plan data storage unit 107 using worker data. The tendency visualization unit 113 is a module of software or hardware or a combination thereof that generates image data for displaying worker data on the display unit 122. The various data stored in the storage device 100 include data collected from various devices on the production site via the communication unit 123 and data input by the user via the data input unit 121, in addition to data processed by the computing device 110.
Fig. 2 is a diagram showing an example of a hardware configuration of the job management apparatus according to the embodiment of the present invention. The job management apparatus is a general-purpose computer as hardware, and can be realized by a processor 202, a memory 203, and an input/output interface 204, where the memory 203 is constituted by a ram (random Access memory), a rom (read Only memory), or the like, and the input/output interface 204 is used for external connection to the job management apparatus. The processor 202, the memory 203, and the input/output interface 204 are connected to the bus 201, and can transfer data, control information, and the like to and from each other via the bus 201.
The storage device 100 is implemented by a memory 203. In addition, the computing device 110 is implemented by a processor 202. The processor 202 executes various programs stored in the memory 203, thereby executing various processes of the arithmetic device 110. The data input unit 121 and the communication unit 123 are implemented by an input/output interface 204. The display unit 122 is a display device such as a liquid crystal display connected via the input/output interface 204. Further, each configuration unit of the communication apparatus may be realized by a plurality of processors and a plurality of memories in cooperation. Further, the job management apparatus according to the embodiment of the present invention may be realized by a plurality of pieces of hardware in cooperation. For example, the data analysis by the data analysis unit 111 and the evaluation of the staffing by the staffing calculation unit 112 may be executed by different computers. Each storage unit may be implemented by hardware such as a data server independent of a computer that performs data analysis or the like.
Fig. 3 is a diagram showing a configuration example of a process of the production line. The production line includes a series of 3 working steps, i.e., step a, step B, and step C. The step a is composed of 6 element operations, i.e., element operation a-1 to element operation a-6.
Fig. 4 is a diagram showing the actual work performance data stored in the actual work performance data storage unit 105 after the sensed data and the device operation data are analyzed and summarized by the data analysis unit 111. The operator position is data acquired from the sensed data storage unit 102, and is output data of a position sensor installed at the production site. The work position of the operator (here, operator a) is shown, which is acquired at intervals of 1 second. The operation state of the apparatus α at the production site stored in the apparatus operation data storage unit 101 is also shown at intervals of 1 second. The data analysis unit 111 analyzes the sensed data and the device operation data using the analysis reference data stored in the analysis reference data storage unit 104, and thereby specifies the work area where the operator is located and the element work performed by the operator at each time. This analysis will be described below.
Fig. 5A, B is a diagram showing analysis reference data. Fig. 5A shows a correspondence relationship between a work area of an operator and an operation state of the device α, which are requirements for specifying each element work, and which correspond to each element work. In the column of "device α" in fig. 5A, "1" indicates that the operation of the device α is the requirement, "0" indicates that the non-operation of the device α is the requirement, and "" indicates that the operation state of the device α is arbitrary (not the requirement). Fig. 5B shows the correspondence between each work area and the coordinate information (x, y). By using such analysis reference data, the data analysis unit 111 can specify the element work to be processed at each time, based on the sensing data indicating the position information of the operator and the device operation data indicating the operation information of the device α, which are collected in association with the time. As a result of this analysis, the element jobs processed at each time are shown in the column of "element jobs" in the job actual performance data of fig. 4.
Fig. 6 is a diagram in which the actual performance data of the jobs in fig. 4 stored in the actual performance data storage unit 105 is organized so that the time required for each element job can be grasped. The time required for each element job is shown together with the start time by summarizing the times at which the same element job is continuously performed. The required time for 1 cycle of step a is also shown as the required step time in the table of fig. 6, in the column of "required step time".
Fig. 7A, B, C is a diagram showing the reference cycle time (process cycle time) and the average value of the reference cycle time for each time zone of the process a, the process B, and the process C for each operator. Here, the reference cycle time per 1 hour is shown. The reference cycle time can be calculated by averaging the process required times of the respective processes in the corresponding time period (the range of the time in the 24-hour period) for each operator based on the actual work performance data as shown in fig. 6. Here, the reference cycle time is an average value of the process required time, but the reference cycle time is not limited to the average value, and a value considering fluctuation or the like may be used. The average value of the reference cycle time for each operator can be calculated by, for example, taking a harmonic average of the reference cycle time for each operator and for each time zone. Harmonic means the reciprocal of the arithmetic mean of the reciprocals.
Fig. 8A is a diagram showing certain production plan data stored in the production plan data storage unit 107. Here, the date of production, the number of production plans (the number of processing plans), the work start time, the work end time, the pause time, the operation time, the tact time, and the operator for each step are shown. Here, the user sets the arrangement of the operators with reference to the tact time and the average value of the reference cycle time for each operator of each process. Referring to fig. 7, the average value of the reference cycle time of the operator C in step a is 119.5 seconds, the average value of the reference cycle time of the operator a in step B is 117.4 seconds, and the average value of the reference cycle time of the operator B in step C is 119.7 seconds, which are both less than 120 seconds, which is the takt time (the time obtained by dividing the operation time by the number of planned production stations). Therefore, the production plan shown in fig. 8A is a production plan (arrangement of operators) determined to be able to achieve production in accordance with the plan, on the basis of the conventional standard without considering the variation of the cycle time for each time zone.
Fig. 8B is a diagram showing an example of calculation of the number of producible plants by the staff placement calculation unit 112 using the reference cycle time for each time slot in the production schedule data of fig. 8A. In the column of "process a" in fig. 8B, the reference cycle time (the value of "operator c" in fig. 7A) for each time zone in the case where the operator c takes charge of the process a is shown together with the name of the responsible operator (operator c). In the column of "step B" in fig. 8B, the reference cycle time (the value of "operator a" in fig. 7B) for each time slot in the case where operator a takes charge of step B is shown together with the name of the responsible operator (operator a). In the column of "process C" in fig. 8B, the reference cycle time (the value of "operator B" in fig. 7C) for each time slot in the case where operator B takes charge of process C is shown together with the name of the responsible operator (operator B). The maximum cycle time (maximum cycle time) among the cycle times of the steps a, B, and C is a substantial cycle time of the production line, and the value is shown in the column of "maximum CT" in fig. 8B. Specifically, in the case of the 9-point period, the cycle times of the steps a, B, and C are 118 seconds, and 119 seconds, respectively, and therefore 119 seconds are shown in the column of "maximum CT", and the 119 seconds are the substantial cycle time of the production line of the 9-point period. The staffing configuration calculation unit 112 divides each time zone width by the maximum cycle time, thereby calculating the number of producible stations per time zone. Specifically, in the case of the 9-point period, the staffing configuration arithmetic unit 112 divides the 1 hour (3600 seconds), which is the period width, by 119 seconds, which is the substantial cycle time, to calculate the number of producible plants in the period to be 30.25. The number of producible stations per time period is shown in the column of "number of producible stations (estimate)" of fig. 8B. Finally, the staff placement calculation unit 112 calculates the number of producible plants in the operating time by adding the number of producible plants calculated for each time period. In this case, the maximum cycle time becomes worse in the 15-point period and the 16-point period, and the estimated value of the number of producible stations (total) obtained by summing up the number of producible stations per time period is 209.84, which is smaller than the number of planned producible stations. The staff placement calculation unit 112 compares the number of producible plants with the number of planned productions, and thereby determines whether or not production of the amount corresponding to the number of planned productions can be achieved. The staff placement calculation unit 112 presents (notifies) the determination result to the user via the display unit 122. Therefore, the user can determine that the modification of the production plan is necessary. Further, even with the calculation method of dividing the operation time (in this case, 7 hours) by the harmonic mean of the maximum cycle time per time period (in this case, 120.09 seconds), the producible number of stations can be estimated. The mathematical calculation formula is equivalent and substantially the same as the case where the producible number of stations per time period is calculated and added together. Further, it can be determined that the production plan needs to be corrected based on the maximum cycle time for each time zone and the average of the maximum cycle time for each time zone being greater than 120 seconds, which is the takt time.
Fig. 9A is a diagram showing the corrected production plan data. Here, the worker in step a and step B is exchanged for the worker arrangement in fig. 8A. Fig. 9B is a diagram in which the staff placement calculation unit 112 estimates the number of producible plants in the production schedule data of fig. 9A using the reference cycle time for each time slot. In this production plan, the number of producible plants is larger than the number of planned productions, and production can be performed according to the plan.
In the above embodiment, the workers in the steps a and B are exchanged, but the workers may be changed according to the time zone. For example, in the above example, the worker in the steps a and B can be exchanged only at 15-point and 16-point periods. It is needless to say that the operator in the step a may be changed to another operator (for example, the operator x) known to be able to perform the processing without any problem only in the above time zone. Further, it is also possible to change the number of workers in the step a (for example, 2 workers, i.e., the operator c and the operator y, are arranged) only at 15-point and 16-point periods. In this case, when a plurality of operators are responsible for 1 process, the reference cycle time for each time segment of each process may be stored as the reference cycle time for each operator for each combination of operators.
Next, a method of determining the human configuration will be described. Fig. 10 is a flowchart showing a process performed by the human disposition calculation unit 112 when determining human disposition. The line configuration is composed of 3 steps A, B, C as shown in fig. 3. The arrangement of the operators a, b, and c in the production plan data of fig. 8A is determined by the user, but here, the operator arrangement calculation unit 112 determines the operators to be arranged in the respective steps from the operators d, e, f, g, h, i, j, and k different from the operators a, b, and c. Fig. 11 is a diagram of data stored in the operator data storage unit 106, in which reference cycle time average values of operators d, e, f, g, h, i, j, and k are summarized for a step A, B, C. The worker data storage unit 106 also stores a reference cycle time (not shown) for each time zone of each process for each worker.
First, the staff placement computation unit 112 calculates the tact time based on the production plan for the planning target day stored in the production plan data storage unit 107 (S01). In the production plan, the number of planned production stations is 210, and the operation time is 7 hours, as in the production plan shown in fig. 8A. The staff placement calculation unit 112 calculates the tact time to be 120 seconds by dividing 7 hours of the operation time by 210 which is the number of scheduled production stations.
Next, the staff placement arithmetic unit 112 determines the order of distribution when studying distribution to the workers of each step, based on the calculated tact time and the reference cycle time average value of fig. 11 (S02). Here, the number of workers having a smaller average value of the reference cycle time than the tempo time is counted for each step, and the workers are sequentially assigned from the start of the step having the smaller count value. Here, in step a, since the average value of the reference cycle time of 5 persons, i.e., the operators d, e, f, i, and j is smaller than the tact time, the number of the operators d, e, f, i, and j is counted as 5 persons. Similarly, 8 persons can be counted in the step B, and 3 persons can be counted in the step C. Therefore, the staff placement calculation unit 112 determines the assignment of workers to be performed in the order of the step C, the step a, and the step B.
Next, the staff placement arithmetic unit 112 assigns the workers in the order determined in step S002 (S03). The staffing configuration calculation unit 112 performs allocation using the reference cycle time average value. The worker allocation is performed in the order of step C, step a, and step B, but the worker allocation arithmetic unit 112 allocates the worker whose reference cycle time average value is smaller than the tact time and which is closest to the tact time, to each step. Specifically, if the average values of the reference cycle times of the 5 processes C of the operators d, e, f, i, j are compared, the average value of the reference cycle times of the operator i is 119.8 seconds, is smaller than the tact time, and is closest to the tact time, i.e., 120 seconds. Therefore, the staffing calculation unit 112 first assigns the worker i to the step C. Next, the worker assignment of the step a is performed, but the worker arrangement calculation unit 112 determines the worker other than the previously assigned worker i with the same reference, and assigns the worker j to the step a. Finally, the worker of the step B is assigned, and the worker arrangement calculation unit 112 assigns the worker k to the step B based on the same determination criterion.
Next, the staff placement arithmetic unit 112 calculates the number of producible stands based on the assignment of workers in step S03 (S04). The number of producible units is calculated using the reference cycle time for each time period stored for the operator in the operator data storage unit 106. The specific method is as described above, and the description is omitted here.
Next, the staff placement calculation unit 112 compares the number of producible plants calculated in step S04 with the number of planned producible plants stored in the production plan data storage unit 107 (S05), and determines whether or not production is possible by the number of planned producible plants. Here, when the number of producible plants is equal to or greater than the number of planned producible plants, production by the number of planned producible plants can be realized, and the assignment of the worker in step S03 is added to the production plan data as staff allocation information. On the other hand, if the number of producible plants is smaller than the number of planned producible plants, production by the number of planned producible plants cannot be realized, and the process returns to the step of assigning by the operator (S03). Before the allocation of the number of workers equal to or larger than the planned number of production lines is found, the allocation change of the number of workers is repeated (S03), the number of producible lines is calculated (S04), and the number of producible lines is evaluated (S05).
The change of the assignment of the operator is performed in order from the subsequent step of performing the assignment of the operator. That is, the correction of the assignment of the worker in the process of assigning the worker at the end is performed at the first place. The worker of the step is changed to the worker next to the last assigned worker from the assignable workers. When the number of producible units does not exceed the number of planned producible units even by the worker who changed the process, the worker assignment of the process to which the worker was assigned immediately before is changed.
In the case where an operator whose reference cycle time average value using the harmonic average of the reference cycle time for each time period exceeds the tact time is assigned to the process, the number of producible stations is necessarily smaller than the number of planned producible stations. Therefore, by using such a reference cycle time average value to investigate the assignment of operators, wasteful processing can be omitted. Further, by selecting and arranging the operators such that the average value of the reference cycle time approaches the tact time, it is possible to realize production close to the planned number of machines, and it is possible to prevent excessive production that causes an increase in stock.
Another method of determining the staff arrangement by the staff arrangement calculating unit 112 will be described with reference to the flowchart of fig. 12. First, the beat time is calculated (S11). The calculation method of the beat time is as described above. Next, the staff placement calculation unit 112 creates all staff placement patterns (patterns) in which the reference cycle time average value for each process is smaller than the tact time, using the calculated tact time and the reference cycle time average value for each process, and stores them in the production plan data storage unit 107 (S12). Next, the staff placement calculation unit 112 calculates the number of producible units for each created staff placement pattern, and compares the calculated number of producible units with the number of planned production units to determine whether or not each staff placement pattern is a staff placement pattern that satisfies the production plan (S13). Next, the staff placement arithmetic unit 112 presents (notifies) the determination result to the user via the display unit 122 (S14). Here, the arrangement pattern of the persons who satisfy the production plan and the number of producible stations at that time may be displayed on the display unit 122 as the determination result. The user may be able to confirm all the person placement patterns that satisfy the production plan, or a pattern in which the number of producible units in the person placement patterns that satisfy the production plan is close to the number of production plans may be displayed with the number of patterns determined in advance as an upper limit. Next, the user selects the adopted staff arrangement style via the data input unit 121 according to the presented style (S15), and the staff arrangement calculation unit 112 determines the staff arrangement (S16). The determined staff arrangement is stored in the production plan data storage unit 107. Here, the user selects the adopted staffing style, but instead of the selection by the user, the staffing style may be selected by the staffing calculation unit 112 based on the selection condition input in advance via the data input unit 121. As the selection condition, for example, a condition of selecting a pattern in which the number of producible units is closest to the number of production plans among the person arrangement patterns satisfying the production plans is conceivable. The staff arrangement may be corrected by the user through the data input unit 121 with reference to the average value of the reference cycle tempo time for each operator. In this case, the staff arrangement calculation unit 112 estimates the number of producible units for the plan corrected by the user, and presents the estimated number to the user via the display unit 122 as an evaluation result of the staff arrangement set by the user.
In this way, by using the reference cycle time for each time zone, the number of producible stations can be estimated more accurately, and the production plan can be optimized by correcting the number of planned producible stations.
Fig. 13 is a diagram showing an example in which the job time and the required time corresponding to the specific element job are extracted from the job actual result data of fig. 6, and the extraction result is displayed on the display unit 122. The video data stored in the video data storage unit 103 is divided by the data analysis unit 111 based on the start time and end time of each elemental job in the actual job performance data. Then, the user selects a link button provided for each elemental task via the data input unit 121, whereby a job image of the corresponding elemental task is displayed on the display unit 122, and the situation of the previous elemental task can be confirmed. This makes it easy to confirm the element work requiring a short sample time and the element work requiring a long sample time, and thus improves the work.
Fig. 14A, B is a diagram in which reference cycle times of the element jobs a-1 and a-6 are collected for each worker and each time zone. By averaging the time required for the element jobs of the element jobs in the corresponding time period (the range of time in the 24-hour period) for each operator based on the actual work performance data as shown in fig. 6, the reference cycle time for each element job can be calculated. Here, only the element jobs a-1 and a-6 are described as examples, but the reference cycle time (element job cycle time) for each operator and each time slot is similarly integrated for other element jobs. The reference cycle time for each element operation and each time zone of each operator is stored in the operator data storage unit 106.
Fig. 15A, B is a schematic diagram in which the trend visualizing unit 113 graphically displays the reference cycle time for each of the individual operators of the element tasks a-1 and a-6 in different time zones, and outputs the reference cycle time to the display unit 122. In this way, the variation in the reference cycle time due to the time period change can be visualized for each element operation and each operator. Therefore, it is easy to specify the element work and the time zone in which the work speed is reduced for each operator, and the cause of the fluctuation of the cycle time can be analyzed and the process can be improved.
In the job management device according to the present embodiment, since the reference cycle time of the element job for each time slot is grasped, the time slot and the step which become the bottleneck can be specified, and the number of producible units when the configuration of each step of the time slot is changed on an element job basis can be easily evaluated.
Fig. 16 is a flowchart in the case where the staff arrangement calculation unit 112 changes the configuration of each step (combination of element tasks for which the same operator is responsible) for each time slot and corrects the staff arrangement. Here, as a specific example, a case will be described in which the configuration of each step is corrected for each time slot and the staff arrangement is changed, based on the configuration and the staff arrangement of each step in the production plan shown in fig. 8A described above. Further, here, the following processing will be explained assuming that the calculation of the producible number of stations per time period as such as shown in fig. 8B has been completed. The number of producible stations per time period shown in fig. 8B may be calculated in advance and stored in the production schedule data storage unit 107.
First, the staff placement calculation unit 112 extracts a time zone for which correction of the configuration of the process is performed based on the data on the number of producible plants per time zone stored in the production plan data storage unit 107, and determines the priority of performing the correction (S31). Here, a time period in which the substantial cycle time (maximum cycle time) is larger than the beat time is extracted as a correction target time period, and priority is given to the time period from the time period in which the difference between the two is large. In a specific example, in fig. 8B, since the maximum cycle time of the 15-point period and the 16-point period exceeds 120 seconds which is the beat time, the staffing calculation unit 112 extracts the 15-point period and the 16-point period as the correction targets. Since the difference between the maximum cycle time of the 16-point period and the beat time is larger than the maximum cycle time of the 15-point period, the staffing calculation unit 112 determines that the 16-point period is the 1 st bit in the priority order and the 15-point period is the 2 nd bit in the priority order.
Next, the staff placement calculation unit 112 sequentially corrects (re-evaluates) the configuration of the steps in order of priority (S32). Here, the reference cycle time for each component job of each operator is read from the operator data storage unit 106 for the target time zone, and the component job assigned to each step is determined. In the specific example, the structure of the step of 16-point period having the priority order of the 1 st bit is first corrected. Fig. 17 is a diagram of the reference cycle time of each element job of the workers a, b, and c extracted from the worker data storage unit 106 at 16-point intervals. In the lower part, the reference cycle time for each step in the configuration of the step before correction is shown for reference. The process a for the worker C is composed of the element processes a-1 to a-6, the process B for the worker a is composed of the element processes B-1 to B-5, the process C for the worker B is composed of the element processes C-1 to C-5, and the reference cycle time for each lower process is the sum of the reference cycle times for each upper element process. In the structure of the process before correction, a process division part is provided between the element operation A-6 and the element operation B-1 and between the element operation B-5 and the element operation C-1. Here, for each pattern of division positions of the steps (assignment of element jobs to the steps), a reference cycle time for each step is calculated, and a pattern with the minimum maximum cycle time is extracted. The calculation performed by the staff placement arithmetic unit 112 at this time will be described with reference to fig. 18. Here, the worker responsible for each step is fixed, and each step is configured in the order of the step a responsible for the worker C, the step B responsible for the worker a, and the step C responsible for the worker B. In this case, the number of patterns of the division positions of the processes is 105 patterns, and the staff placement calculation unit 112 calculates the reference cycle time of each process for all the patterns, and extracts the pattern in which the maximum cycle time is the minimum. The calculation performed by the human configuration calculating unit 112 using the pattern of "configuration 6-5-5" which is the configuration of the process before correction will be described. In the "configuration 6-5-5" pattern, the step A is constituted by the element operations A-1 to A-6, the step B is constituted by the element operations B-1 to B-5, and the step C is constituted by the element operations C-1 to C-5. The cycle time of the step a is calculated by reading the reference cycle times of the element jobs a-1 to a-6 of the operator c who is in charge of the step a from the operator data storage unit 106 by the staff placement calculation unit 112 and summing the reference cycle times. In this case, the cycle time of the process a was 125 seconds. Similarly, the cycle time of step B is the sum of the reference cycle times of the elemental works B-1 to B-5 of the worker a, and is 116 seconds. The cycle time of step C is the total value of the reference cycle times of the element operations C-1 to C-5 of the operator b, and is 120 seconds. The staffing configuration calculation unit 112 extracts the maximum values of these process cycle times, and calculates the maximum cycle time of the pattern "configuration 6-5-5" to be 125 seconds. The staffing configuration calculation unit 112 performs the same calculation for the other patterns, and extracts the pattern with the minimum maximum cycle time. Here, as a result of the calculation, the maximum cycle time is the smallest in the pattern "configuration 5-6-5", and the configuration of the process of this pattern is adopted. In this configuration, step A is composed of element operations A-1 to A-5, step B is composed of element operations A-6 to B-5, and step C is composed of element operations C-1 to C5. That is, the element operation a-6, which is the last element operation of the step a before the correction, is shifted to the beginning of the step B by the correction. In the present embodiment, the calculation of the reference cycle time and the calculation of the maximum cycle time for each step are performed for all patterns of the division positions of the steps, but the calculation is not necessarily performed for all patterns. The structure of the step before the comparison may be used as a reference, and only a pattern in which the division position is close to the structure of the step before the comparison may be used as an evaluation target.
Next, the staff placement arithmetic unit 112 calculates the number of producible units using the configuration pattern of the process employed in the previous step (S33). Fig. 19 shows a schematic of the calculation performed by the staffing calculation unit 112 in the specific example. As described above, the calculation method corrects the structure of the step at 16-point intervals, and therefore only the values at 16-point intervals are changed from those in fig. 8B. The maximum cycle time of the 16-point period is 120 seconds, and therefore the number of producible stations of the 16-point period is 30, and the total value of producible stations is 211.04.
Next, the staff placement arithmetic unit 112 compares the calculated number of producible plants with the planned number of producible plants (S34). When the number of producible plants is equal to or greater than the number of planned productions, the staff arrangement calculation unit 112 calculates the staff arrangement plan after the configuration of the process is corrected, and outputs the staff arrangement plan to the production plan data storage unit 107(S35), thereby ending the correction of the staff arrangement. On the other hand, if the number of producible plants is smaller than the planned number of producible plants in step S34, the process returns to step S32 to correct the process for the time slot next in the priority order. In the step of S31, when the correction of the process is completed for all the time slots extracted as the correction target and given the priorities, the staff arrangement calculation unit 112 outputs the staff arrangement plan with the corrected process configuration to the production plan data storage unit 107 together with the number of producible stands, and finishes the correction of the staff arrangement.
In this way, the work management device of the present embodiment grasps the reference cycle time of the element work for each time zone, and therefore, it is possible to estimate the effect when the element work for each time zone is changed to be distributed to each process, and it is possible to appropriately correct the configuration of the operator and the process so that the planned number of production stations can be achieved.
In the present embodiment, the calculation of the number of processable (production) units and the arrangement of operators are described with reference to production processes, but the present invention is not limited to production processes. For example, the present invention can be applied to a case where a process other than a simple production process is targeted, such as an inspection process, a conveyance process, or a process in which a production process and an inspection process are combined.
Description of the reference numerals
100 storage device, 101 device operation data storage part, 102 sensing data storage part, 103 image data storage part, 104 analysis reference data storage part, 105 operation actual performance data storage part, 106 operator data storage part, 107 production plan data storage part, 110 arithmetic device, 111 data analysis part, 112 personnel configuration arithmetic part, 113 tendency visualization part, 121 data input part, 122 display part, 123 communication part, 201 bus, 202 processor, 203 memory, 204 input and output interface.

Claims (8)

1. A job management apparatus includes:
an operator information storage unit that stores, for each of a plurality of work processes constituting a series of processes, a process cycle time of each operator for each of a plurality of time periods in an amount corresponding to the plurality of operators; and
and a calculation unit that reads the process cycle time of the time zone of the operator from the operator information storage unit for each of a plurality of time zones constituting the operating time of the series of processes, calculates the number of processable units in the series of processes for each of the time zones using the read process cycle time, and adds the number of processable units calculated for each of the time zones to calculate the number of processable units in the operating time.
2. The job management apparatus according to claim 1,
the calculation unit compares the calculated number of processable stations with the number of scheduled processing stations, and thereby determines whether or not the processing of the number of scheduled processing stations can be realized within the operation time in the series of steps.
3. The job management apparatus according to claim 2,
the calculation unit notifies the user of the determination result of whether or not the processing of the number of scheduled processing units can be realized via a display unit.
4. The job management apparatus according to claim 2 or 3,
the calculation unit creates worker arrangement information, which is information of arrangement of the worker to each of the plurality of work processes, in a plurality of patterns,
the calculation unit calculates the number of processable devices for each of the patterns, and determines whether or not the number of scheduled devices can be realized.
5. The job management device according to any one of claims 1 to 3,
the calculation unit generates worker arrangement information having different arrangements to the workers in the plurality of work processes, based on the time zone constituting the operation time.
6. The job management device according to any one of claims 1 to 5,
the operator information storage unit stores, for each of the time zones, an element work cycle time, which is a cycle time of each element work constituting each of the plurality of work steps, by the amount of the plurality of operators.
7. The job management apparatus according to claim 6,
further comprising: and a visualization unit that generates image data that displays, for each of the operators, a change in the element work cycle time with a change in time period.
8. A job management method, wherein,
the arithmetic device reads, from the storage device, a process cycle time for each time segment constituting an operation time of an operator who is disposed for each of a plurality of work processes constituting a series of processes, by an amount corresponding to the plurality of operators,
the arithmetic device calculates the number of processable steps of the series of steps for each of the time periods using the read step cycle time,
the arithmetic device adds the processable number of the devices calculated for each of the time periods, and calculates the processable number of the devices in the operating time.
CN201880098311.2A 2018-10-05 2018-10-05 Job management device and job management method Pending CN112805639A (en)

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