JP2009289056A - Device for supporting personnel arrangement planning - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for supporting personnel arrangement planning, which supports personnel arrangement planning by presenting a load or margin of a worker. <P>SOLUTION: Workers in charge of a corresponding shift and area are set to a human capacity table 32. Workloads are set in a workload table 33. A work assignment part 34 assigns the workloads to each worker according to the working time and processing speed of each worker in reference to the human capacity table 32 and the workload table 33, and calculates a load factor and a residual load of each worker. A result display part 17 displays the load factor and the residual load of each worker calculated by the work assignment part 34. According to this, the load or margin of each worker can be presented to support the personnel arrangement planning. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a technique for supporting personnel allocation planning in a production line, and in particular, to support appropriate planning of personnel to be allocated in a job shop type manufacturing line in which a single worker handles a plurality of operations. The present invention relates to a personnel allocation plan support device.

  In recent years, competition between companies in the manufacturing industry has intensified. In order to continue to exist in such competition between companies, it is indispensable to improve productivity at the manufacturing site, and it is an important issue to plan appropriate staffing.

  Conventionally, as a method for planning the staffing, it is necessary to investigate and set in advance the work to be performed by workers and the standard time required for each work, and to achieve the desired production volume. A method is widely used in which the estimated work amount is calculated and the number of personnel necessary to manage the work amount is determined. As a technology related to this, there is an invention disclosed in Patent Document 1 below.

In the invention disclosed in Patent Document 1, the staff assignment calculation unit refers to the overall skill rank of each worker who is working in the worker information database and the overall skill rank of each work process in the work content database. , Place workers with high overall skill rank in work processes with high difficulty, place workers with low overall skill rank in work processes with low difficulty, and accurately place each worker in each work process is doing. For this reason, even immediately before the operation of the production line, each worker can be properly arranged, and the start-up loss at the start of work can be minimized. In addition, by appropriately arranging each worker, it is possible to improve productivity while maintaining a predetermined tact time.
JP 2002-373235 A

  In the above-described method for planning the personnel assignment, an average required work amount per unit time is obtained based on information on a production plan and a maintenance plan. However, in the job shop type production line, the arrangement order of the manufacturing processes is not constant, so that the arrival of the work at each shop is not constant, and the work load fluctuates every day. In addition, human ability varies depending on the daily attendance. Therefore, the conventional personnel allocation planning method that does not take such fluctuations into account cannot cope with a job shop type production line.

  Moreover, in patent document 1, the excess or deficiency of personnel is determined in a binary manner depending on whether or not a necessary work amount can be handled. However, personnel assignment is related to how much work allowance is given, and affects productivity indexes that take continuous values such as device operation loss due to work waiting and product stagnation, that is, work period loss. Therefore, the evaluation of the personnel allocation plan should be performed with an index that takes continuous values, such as how much the worker has a load and margin.

  In addition, although it is determined whether or not work is possible in the method for evaluating the skill of the worker, the skilled worker can finish the predetermined work more efficiently and in a shorter time than the unskilled worker. Aspects are not considered.

  Therefore, the personnel assigned according to the conventional personnel assignment plan has a problem that the necessary work cannot be performed sufficiently or the work is delayed more than expected, and the production activity cannot proceed as planned. there were.

  The present invention has been made in order to solve the above-mentioned problems, and the purpose thereof is a staffing plan that can support the staffing plan by presenting the load and margin of an operator. It is to provide a support device.

  According to one embodiment of the present invention, a staffing arrangement support device for supporting staffing planning in a job shop type production line is provided. In the human ability table, workers in charge of the corresponding shift and area are set. A workload amount is set in the workload table. The work assignment unit refers to the human capacity table and the work load table, assigns the work load to each worker according to the work engagement time and processing speed of each worker, and calculates the load factor and unloading load of each worker. To do. The result display unit displays the load factor and unloading load of each worker calculated by the work allocation unit.

  According to this embodiment, the work assignment unit assigns the work load to each worker, and calculates the load factor and unloading load of each worker. It can be presented to support staffing plans.

  FIG. 1 is a diagram illustrating an example of a model of a production line as a target in the embodiment of the present invention. Fig.1 (a) is a figure which shows the whole model of a manufacturing line. Usually, in a factory, workers are divided into a plurality of groups, and a work section that the group is responsible for is formed by each group. Here, the work section is called an area.

  The production line model 101 shown in FIG. 1A is divided into six areas, and a passage 102 for transporting a product is provided between the areas. The products are transported using the passage 102, and the products are received and dispensed through the shelves 103 provided in each area.

  FIG. 1B is an enlarged view of each area. A plurality of devices 106 and workers 107 are arranged in each area, and the workers 107 perform processing using the devices 106, and accept and pay out products via the shelf 103.

  FIG. 1C is an enlarged view of the device 106. A lot 109 is formed by storing the product 110 in a container in a predetermined quantity. For each lot 109 stored in the container, the processing in the apparatus 106 and the receiving and dispensing of the product through the passage 102 are performed.

  Usually, when the production plan in the factory changes, the work amount in each area also changes, and the appropriate personnel assignment in each area also changes. In the present embodiment, an appropriate personnel assignment plan for each area corresponding to a change in the production plan is supported.

  FIG. 2 is a diagram for explaining the classification of work. The work is roughly classified into “direct work”, “indirect work”, and “ancillary work”. The direct work is a work that always occurs for one lot of processing, such as “lot attachment” for attaching a lot before processing to the apparatus 106, and “lot removal” for removing a processed lot from the apparatus 106. It is. The amount of direct work increases in direct proportion to the number of lots processed.

  Indirect work is work that occurs independently of the number of lots processed, such as equipment repair and equipment maintenance.

  Ancillary work is processing condition parameter change, tool change, trial run, etc. that occur as a preparation when a certain product is processed by a certain device and then another product is processed. The incidental work is a work necessary for the lot processing as in the case of the direct work, but does not necessarily occur every time one lot is processed, and the frequency of occurrence varies depending on the situation. The workload of incidental work needs to be calculated in consideration of variation in the occurrence frequency, and is distinguished from direct work.

  In FIG. 2, the upper half represents the work of the worker 107 and the lower half represents the processing of the device 106. Lot attachments 201, 203, and 207 occur before processing 209, 210, and 211. Also, lot removal 202, 205 and 208 occurs after all processing. In this way, lot attachment and lot removal are direct operations that occur every processing.

  Since the failure of the device 106 occurred during the processing 210, the device repair 204 has occurred. Device repair is an indirect operation because it occurs independently of the number of processing steps.

  After the processing A 210 for the product type A, the setup 206 is generated in order to perform the processing 211 for the product B. Setup is an incidental work.

  FIG. 3 is a diagram illustrating an example of a work shift. For example, a semiconductor wafer factory generally takes the form of continuous operation. Therefore, a shift system is adopted by multiple teams, and work shifts indicate when and which teams work.

  In the case of shifts, the worker abilities are not necessarily the same in each group. Therefore, the worker ability for each area or the worker ability of the entire production line is repeatedly increased and decreased in a certain cycle. In FIG. 3, since the work shift is completed in 12 days, in the longest case, a wave of increase / decrease in worker ability occurs in the 12-day cycle.

  In the case of such shift system operation, it occurs that a work load left over by a shift with insufficient worker ability is recovered by a subsequent shift. In order to consider the unloading of workload, it is indispensable to plan the staffing in consideration of the work shift cycle.

  FIG. 4 is a block diagram showing a hardware configuration of the staffing plan support apparatus according to the embodiment of the present invention. This personnel allocation plan support device is realized by a general computer, and includes a computer main body 51, a display device 52, an FD drive 53 in which an FD (Flexible Disk) 54 is mounted, a keyboard 55, a mouse 56, a CD-ROM (Compact Disc). -Read Only Memory) 58 includes a CD-ROM device 57, a network communication device 59, and a printer 60. The personnel assignment plan support program is supplied by a storage medium such as the FD 54 or the CD-ROM 58. The personnel allocation plan support program is executed by the computer main body 51, and a simulation for allocating the workload to the allocated personnel is performed. The personnel assignment plan support program may be supplied to the computer main body 51 from another computer via a communication line.

  The recording medium is not limited to the FD 54 and the CD-ROM 58, but may be a magnetic tape, an MO (Magnetic Optical disk), an MD (Mini Disc), a DVD (Digital Versatile Disc), an IC (Integrated Circuit) card, or the like. May be.

  The computer main body 51 includes a CPU 70, a ROM (Read Only Memory) 71, a RAM (Random Access Memory) 72, and a hard disk 73. The CPU 70 performs processing while inputting / outputting data to / from the display device 52, FD drive 53, keyboard 55, mouse 56, CD-ROM device 57, network communication device 59, printer 60, ROM 71, RAM 72 or hard disk 73. . The personnel assignment plan support program recorded in the FD 54 or the CD-ROM 58 is stored in the hard disk 53 by the CPU 70 via the FD drive 53 or the CD-ROM device 57. The CPU 70 performs a simulation or the like that assigns a work load to the assigned personnel by appropriately loading the personnel assignment planning support program from the hard disk 53 to the RAM 52 and executing it.

  FIG. 5 is a block diagram illustrating a functional configuration of the personnel assignment plan support device. The staffing plan support device includes a plan information storage unit 11, a reference information storage unit 12, a load / capability variation characteristic information storage unit 13, a production history information storage unit 14, and a load / capability variation characteristic information derivation unit 15. A personnel allocation plan evaluation simulation unit (hereinafter simply referred to as an evaluation simulation unit) 16 and a result display unit 17.

  The plan information storage unit 11, the reference information storage unit 12, the load / capability variation characteristic information storage unit 13 and the production history information storage unit 14 are constructed as a data storage database in the hard disk 73 shown in FIG. This is referred to when performing a simulation of assigning workload to assigned personnel.

  The load / capability variation characteristic information deriving unit 15 and the evaluation simulation unit 16 are realized by the CPU 70 executing the personnel allocation plan support program. The result display unit 17 corresponds to the display device 52 or the printer 60 shown in FIG. 4, and displays the simulation result to support the evaluation of the staffing plan.

  The plan information storage unit 11 stores production plan information 21, personnel assignment plan information 22, and apparatus maintenance plan information 23.

  The reference information storage unit 12 stores manufacturing flow information 24, device specification information 25, and work master information 26 and 27. The work master information includes direct work master information 26 and indirect work master information 27 as described later.

  The load / capability variation characteristic information storage unit 13 stores a lot arrival number variation characteristic 28 that is information regarding variation in the number of arrivals of lots, and an attendance number variation characteristic 29 that is information regarding variation in the number of attendances. . By incorporating this information into the model, it is possible to take into account variations in loads and capacities that occur in actual manufacturing sites.

  These values regarding the variation characteristics may not necessarily be obvious. In such a case, it is effective to obtain the variation characteristic value by referring to the past production history information in the target production line. In the present embodiment, the load / capacity variation characteristic information deriving unit 15 derives load / capacity variation characteristic information from the past production history stored in the production history information storage unit 14 and stores the load / capacity variation characteristic information. Store in the unit 13. Details of this processing will be described later.

  The evaluation simulation unit 16 includes a random variable value setting unit 31 that generates random numbers when setting the attendance status of the worker, the number of arrival lots by process, and the incidental work occurrence rate, and the attendance status of the placement worker and the worker. Refer to the human capacity table 32 created according to the above, the workload table 33 created according to the number of arrival lots per process, incidental work occurrence rate and work contents, the human capacity table 32 and the work load table 33. The work assignment unit 34 for assigning work and the worker load table 35 and the unloading load table 36 created by the work assignment unit 34 are included.

  FIG. 6 is a diagram illustrating an example of various types of information stored in the plan information storage unit 11. FIG. 6A shows an example of the production plan information 21. This production plan information 21 represents a production quantity plan for each product type and each period. In FIG. 6A, the period is set to January, but different periods such as weeks and half months may be used as the unit of the plan.

  FIG. 6B shows an example of the personnel allocation plan (plan) information 22. This personnel allocation plan (plan) information 22 indicates which group and which area each worker is in charge of during the period to be planned. The personnel allocation plan (plan) information 22 includes information on the skill level and the area / device that can be handled in addition to the allocation information of each worker.

  Note that the workers listed in the personnel allocation plan (plan) information 22 do not necessarily have to be existing workers. For example, by registering and evaluating dummy worker data, it is possible to verify in advance the effect of increasing personnel.

  Similarly, it is not necessary to limit the information regarding the available area / device to the skill at that time. For example, you may make it register what reflected future educational programs. Thereby, the effectiveness of the educational program can be evaluated.

  FIG. 6C shows an example of the device maintenance plan information 23. The device maintenance plan information 23 indicates work items and scheduled execution dates of maintenance work that are regularly performed for each device in each area.

  FIG. 7 is a diagram illustrating an example of various information stored in the reference information storage unit 12. FIG. 7A shows an example of the manufacturing flow information 24. In the manufacturing flow information 24, a process for manufacturing a product is described according to the order for each product type. In FIG. 7A, the same process and the same area are described in the first and fourth manufacturing processes of the product type 1. This means that the same process is repeatedly performed in the process of manufacturing a certain product. Such a flow is frequently seen in a circulation type manufacturing flow such as a semiconductor wafer process.

  FIG. 7B shows an example of the device specification information 25. In this device specification information 25, information related to maintenance of each device in each area is mainly recorded, and whether the work is performed regularly or irregularly for each maintenance work item, The frequency of the implementation is recorded. Of the items of the device specification information 25, those that are regularly executed are subjected to device maintenance according to the device maintenance plan information 23.

  On the other hand, maintenance performed irregularly is often a failure that occurs suddenly, and it is generally difficult to predict the occurrence timing in advance.

  FIG. 7C shows an example of the direct work master information 26 in the work master information, and FIG. 7D shows an example of the indirect work master information 27 in the work master information. The work master information needs to be stored in different data formats due to the difference in the characteristics of each work, and is divided into direct work master information 26 and indirect work master information 27.

  The direct work master information 26 lists the names of work required for each type and process, and further, the area, device, priority, difficulty, execution frequency, reference time, internal setup in which the work is performed. / Includes external setup categories.

  The standard time determined by the work name is set as the reference time. However, when the time required for the work greatly increases or decreases due to the influence of special factors related to the product type, process, or apparatus, the time due to the special factors may be taken into account.

  The execution frequency indicates how frequently the operation is performed per lot in the product type and the process. In the direct work master information 26, the frequency range is specified by the minimum value and the maximum value.

  The indirect work master information 27 includes information on priority, difficulty, execution frequency, and reference time, in addition to the area where the work is performed, the device, and the work name.

  FIG. 8 is a diagram illustrating an example of various types of information stored in the load / capability variation characteristic information storage unit 13. FIG. 8A shows an example of the lot arrival number fluctuation characteristic information 28, and FIG. 8B shows an example of the attendance number fluctuation characteristic information 29. These pieces of information are used to simulate the variation in load and capacity in the production line when the evaluation simulation unit 16 performs the evaluation simulation.

  The reproduction of the variation can be realized by changing the value of the random variable for each simulation. This can be easily performed if the distribution form followed by the random variable and the parameter value for determining the distribution function are appropriately given.

  Here, consider the case where the number of arrivals of the lot follows a normal distribution. The expected value of the lot arrival number is determined from the production plan information 21 and the manufacturing flow information 24. Further, the distribution function of the number of arrivals of lots can be derived if a variation coefficient is given in addition to the expected value. By using the distribution function of the lot arrival number, the lot arrival number can be given in the simulation.

  Next, let us consider a case where each worker's attendance follows a binomial distribution. In this case, the attendance of each worker can be easily set if the attendance rate of each worker is given.

  As described above, the random variables that affect the load and ability are assumed to be distributed, and the parameters are set as the lot arrival number fluctuation characteristic information 28 and the attendance number fluctuation characteristic information 29 in the load / capability fluctuation characteristic information storage unit 13. Remember. In FIG. 8B, the attendance rate is constant regardless of the worker, but a table structure in which a value can be set for each worker or for each group of workers is also possible.

  By the way, there may be a case where the variation characteristic information is not obvious. In such a case, it can be derived using past production history information. Hereinafter, a method for deriving lot arrival number variation characteristic information by the load / capability variation characteristic information deriving unit 15 will be described.

  FIG. 9 is a flowchart for explaining a procedure for deriving the lot arrival number variation characteristic information 28. FIG. 10 is a diagram illustrating an example of the lot arrival number variation characteristic information 28 calculated by the load / capability variation characteristic information deriving unit 15 and an explanation of the derivation method.

  First, the load / capability variation characteristic information deriving unit 15 calculates an average value and a standard deviation value of lot arrival numbers by area from the lot arrival information for each area stored in the production history information storage unit 14 (S11). Then, a value obtained by dividing the standard deviation value of the number of arrivals of lots by area by the average value is calculated as a variation coefficient (S12).

  The average number of arrivals of lots varies from area to area. As shown in FIG. 10B, it is known that the lot arrival variation y decreases as the lot arrival number x increases, and the lot arrival number variation y is generally inversely proportional to the square root of the lot arrival number x.

  Therefore, the load / capability variation characteristic information deriving unit 15 obtains a value of the following equation for each area, and obtains α that minimizes the sum of squares (S13). This corresponds to obtaining a curve that best approximates a point corresponding to each area, as shown in FIG.

  Finally, the load / capability variation characteristic information deriving unit 15 records the obtained α as the lot arrival number variation characteristic information 28 in the load / capability variation characteristic information storage unit 13 (S14), and ends the process. If this α is obtained, the coefficient of variation can be obtained by the equation (1) using the expected value of the arrival number of lots. Therefore, this α may be the lot arrival number variation characteristic value. If α is used, it is possible to predict variations in the number of arrivals of lots even when the production plan changes. FIG. 10A shows an example of the lot arrival number variation characteristic value α.

  FIG. 11 is a flowchart for explaining the processing procedure of the evaluation simulation unit 16. The evaluation simulation unit 16 calculates the load on each worker for each work shift and the amount of work that could not be processed by the work shift. This process is repeated for the number of shifts set in advance, and the transition of the worker load and the unloading work amount during that period is output, thereby assisting the decision making of the staffing planner.

  First, a human ability table 32, that is, a list of workers to be assigned with a workload is created (S21). At this time, workers who are excluded from load allocation, such as when they are absent due to vacation acquisition, are excluded from the list.

  FIG. 12 is a diagram illustrating an example of the human ability table 32. As shown in FIG. 12, the human ability table 32 stores the skill level and working hours of the target worker in addition to the name of the worker who is the target of worker load assignment.

  Next, the work load to be processed in the shift including the work that could not be processed in the previous work shift is calculated, and the work load table 33 is created (S22).

  FIG. 13 is a diagram illustrating an example of the work load table 33. In FIG. 12, the time required for processing is totaled for each work group classified in terms of related devices, difficulty levels, and priorities to obtain a work load. The reference used for the classification of work does not necessarily have to be as shown in FIG. 13, and may be any necessary as long as it is not necessary for assigning loads to workers. In the next step S24, a work group is formed as shown in FIG. 13, taking into consideration that the worker to be assigned differs depending on the device and the difficulty level, and that the assignment method differs depending on the priority.

  Next, the work assigning unit 34 assigns the work load of the work group listed in the work load table 33 to each worker listed in the human ability table 32 (S23). As a result, the load factor of each worker and the unloading load that could not be processed are obtained (S24). The unloading load calculated here is carried over as the work load of the next shift, and is temporarily recorded in the unloading load table 36 in the same format as the work load table 33.

  The processes in steps S21 to S24 described above are repeated until allocation in all areas is completed, and further repeated until a predetermined shift number is reached.

  FIG. 14 is a flowchart for explaining in detail the processing procedure of generating the human ability table (S21) shown in FIG. First, the attendance number fluctuation characteristic information (variation value) 29 stored in the load / capability variation characteristic information storage unit 13 is acquired (S31).

  Next, the shift and area set values to be created in the human ability table are acquired (S32), and the worker who goes to work from these values and the personnel allocation plan information 22 stored in the plan information storage unit 11 Are extracted (S33).

  Next, the attendance status of the worker is set for each of the extracted candidates (S34). For example, the random variable value setting unit 31 generates a uniform random number in the range of 0 to 1, and if the value is smaller than the number-of-attendance fluctuation characteristic variation value 29, it is determined that the employee is absent, and if the value is larger, the employee is absent. When the attendance status of the worker is set to attendance (S35, Yes), the worker is listed in the human ability table 32 (S36).

  The processes in steps S34 to S36 described above are repeated until all the attendance settings are completed.

  FIG. 15 is a flowchart for explaining in detail the processing procedure of the workload calculation (S22) shown in FIG. As described above, in order to consider a case where an operation that must be processed in a certain shift cannot always be completed within the shift, an unfinished operation at the end of the shift is carried over to the next shift as an unloading operation. Therefore, first, the unloading load stored in the unloading load table 36 is registered in the work load table 33 (S41).

  Next, a work load related to work newly generated by the shift is calculated. The calculation of the work load is performed by dividing into direct work load totaling (S42) and indirect work load totaling (S43). The incidental work occurs in the form of incidental to the direct work, and the load calculation procedure is the same as the load calculation procedure of the direct work. Therefore, the load calculation of the incidental work is performed in the direct work load aggregation (S42). We will do it at the same time.

  FIG. 16 is a flowchart for explaining in detail the processing procedure of the total work load (S42) shown in FIG. First, lot arrival number fluctuation characteristic information 28 is acquired (S51). Then, it is determined which period of the production plan information 21 the shift corresponds to (S52).

  Next, assuming a certain product type, production quantity data of the product type in the shift is acquired from the production plan information 21. Then, a process necessary for manufacturing the product is extracted from the manufacturing flow information 24 (S53). The following steps S54 to S58 are performed on the extracted individual processes, and the workload of direct work is totaled.

  In step S54, the random variable value setting unit 31 generates a random number, and the random number is used to set the number of arrival lots in the corresponding product type and process.

  Next, referring to the direct work master information 26 stored in the reference information storage unit 12, work items in the corresponding product type and process are listed. Then, for each of the listed work items, the work load time is calculated by multiplying the work execution frequency, the reference time, and the number of arrival lots (S55).

  Next, if the work group to which the corresponding direct work belongs is registered in the work load table 33 (S56, Yes), the work load time calculated in step S55 is totaled for each work group, and the work load table 33 is obtained. To be recorded. At this time, the work group to which the corresponding work belongs is searched from the work load table 33, and the work load time calculated in step S55 is added to the work load value of the work group.

  If the work group to which the corresponding work belongs is not registered in the workload table 33 (S56, No), the group to which the corresponding work belongs is newly added to the workload table 33 (S57), and the work load As a result, the workload time calculated in step S55 is registered (S58).

  The processes in steps S53 to S58 described above are repeated until all the types are performed.

  FIG. 17 is a flowchart for explaining in detail the processing procedure for setting the number of arrival lots (S54) shown in FIG. First, a parameter value of a probability distribution according to the number of arrival lots is obtained (S61). For example, when the number of arrival lots follows a normal distribution, an average value and a standard deviation value (or variance) are required. The average value of the arrival lot numbers is obtained from the production plan information 21. The standard deviation value is obtained from the average value and the lot arrival number variation characteristic information 28.

  For example, let us consider a case where the number of arrival lots of product type 1 and process 1 in April 1 night shift is set. From the production plan information 21 shown in FIG. 6, the production quantity of the product type 1 in April is 3000 lots. The number of shifts in April can be obtained from the work shift calendar shown in FIG. Here, assuming 2 shifts per day and 30 working days, the number of shifts in April is 60, and the expected number of arrival lots per shift (average) is 50 lots (= 3000 ÷ 60).

  If the lot arrival number variation characteristic information 28 shown in FIG. 10A is used, the variation coefficient of the number of arrival lots of the April type 1 and process 1 is 1.2 ÷ (√50) = 0.17. . The standard deviation value is 0.17 × 50 = 8.5.

  If the parameter value of the probability distribution is obtained in this way, a random number having a value of 0 to 1 is generated (S62), and the average value and standard deviation value, which are parameters of the normal distribution, are normalized. The number of lot arrivals is set by substituting it into the inverse function of the cumulative distribution function of the distribution (S63).

  For example, when the generated random number is 0.73, 55.2 lots are obtained as the lot arrival number. The inverse function calculation of the cumulative distribution function of the normal distribution can be easily executed by using commercially available spreadsheet software. In this example, since it is assumed that the number of arrival lots follows a normal distribution, an average value and a standard deviation value are obtained as parameters thereof, but it goes without saying that the parameters to be obtained vary depending on the assumed probability distribution.

  However, even in the case of different probability distributions, the number of arrivals of lots can be set by procedures of 1) identification of parameter values of probability distributions, 2) generation of random numbers, and 3) substitution of inverse distribution functions.

  FIG. 18 is a flowchart for explaining in detail the processing procedure of the workload calculation (S55) shown in FIG. The time required for the direct operation is obtained by multiplying the reference time required for one process by the execution frequency, that is, the required number of operations per lot and the number of lots arriving at the product / process. Note that the execution frequency may be determined for each lot, such as the work that must be performed for each lot, or may be different depending on the situation.

  Therefore, first, the value of the work execution frequency is set using a random number (S71). In this embodiment, as an example of a method of setting the execution frequency, the execution frequency range (minimum value and maximum value) is directly described in the work master, and a uniform random number that is a value between them is generated, A method of setting the value as the implementation frequency is adopted.

  Then, the workload is calculated by multiplying the reference time, the execution frequency, and the number of arrival lots (S72).

  FIG. 19 is a flowchart for explaining in detail the processing procedure of the summation of indirect work loads (S43) shown in FIG. First, with reference to the apparatus maintenance plan information 23, periodic maintenance work items that are implemented in a planned manner are extracted (S81).

  Next, it is set whether or not maintenance work items that occur irregularly occur in the corresponding shift (S82).

  Next, by referring to the indirect work master information 27 for each of the maintenance work and irregular work performed in the listed shift, the value of the reference time required for the work is obtained.

  Next, if the work group to which the corresponding indirect work belongs is registered in the work load table 33 (S84, Yes), the work load time calculated in step S83 is totaled for each work group, and the work load table 33 is obtained. To be recorded. At this time, the work group to which the corresponding work belongs is searched from the work load table 33, and the work load time calculated in step S83 is added to the work load value of the work group.

  If the work group to which the corresponding work belongs is not registered in the workload table 33 (S84, No), the group to which the corresponding work belongs is newly added to the workload table 33 (S85), and the work load As a result, the workload time calculated in step S83 is registered (S86).

  The processes in steps S83 to S86 described above are repeated until all indirect operations are performed.

  FIG. 20 is a flowchart for explaining in detail the processing procedure for setting irregular work (S82) shown in FIG. First, the device specification information 25 is acquired (S91), and it is determined whether or not the corresponding work registered in the device specification information 25 is an operation that occurs irregularly (S92).

  If the work occurs irregularly (S92, Yes), the probability of the work occurring in the shift is calculated (S93). This value is obtained from the value of the execution frequency in the device specification information 25. For example, in the case of work that is 2 shifts per day and 30 days per month and occurs once every two months, 1 ÷ (2 × 30 × 2) = 0.003 is obtained.

  Next, with reference to the value calculated in step S93, it is set whether or not the work occurs in the shift (S94). Specifically, a uniform random number in the range of 0 to 1 is generated, and if the value is smaller than the occurrence probability value calculated in step S93, it is set that the corresponding work has occurred. In this way, the irregular work that occurs in the target shift is set.

  Next, the process (S23) for assigning the work shown in FIG. 11 to the worker will be described. The work allocating unit 34 keeps as much work as possible so that there is no amount of work to be left for the next shift under given personnel, while there are restrictions on work groups and work times that each worker can handle. It is assumed that the amount of work is reduced, and the following formulation is performed.

Let N _t be the number of work groups listed in the work load table 33, and T _{j be} the work load of work group j. The number of workers listed in the human ability table 32 is represented by N _p , and the work engagement time of the worker i in the shift is X _i . Also, let x _{i, j be the} time that worker i spends on processing of work group j.

  In general, the speed at which work is performed varies depending on the skill level of the worker. In the present embodiment, the work speeds of workers having other skill levels when the work speed of a highly skilled worker is set to 1 are shown in FIG. Given in a processing efficiency matrix.

Here, the processing speed when the operator i performs the processing of the work group j a _i, if the _j, the workload of working group j to be processed by the worker i becomes a _{i, j x i, j} .

The assignment of work is considered to be a problem of obtaining x _{i, j} that satisfies the expression (3) while satisfying the following expression (2).

For example, from the viewpoint of minimizing the cost by the worker, the cost of engaging the worker i in unit time work is represented by c _i , and the following equation (4) is used as an evaluation measure to optimize the problem. Can be formulated as

  In the present embodiment, it is assumed that when all the work cannot be performed within the shift, it is assumed that the work load is left behind, and equation (3) is a constraint that must be satisfied. I can not say. Therefore, when unloading work is done, dummy workers necessary to process them are virtually given, and the assignment of work to the dummy workers is reduced as much as possible, that is, the cost per unit time of the dummy workers is reduced. After setting to a sufficiently large value, Equation (3) is considered as a constraint condition.

If this dummy worker is represented by worker 0 (i = 0), the task assignment problem is reduced to a linear programming problem in which the following equation (5) is used as a constraint and equation (6) is minimized. . It is assumed that a _{0, j} = 1.

By solving this problem, it is possible to obtain the load factor of the worker i shown in the following equation (7) and the unloading amount x _{0, j} of the work group j.

  These values are recorded in the worker load factor table 35 and the unloading load table 36 as simulation results of the shift, and are output to the result display unit 17 when the simulation for a predetermined number of shifts is completed. Used to support planning.

  As described above, according to the personnel allocation planning support apparatus in the present embodiment, the work assignment unit 34 assigns the work load to each worker, and calculates the load factor and unloading load of each worker. Therefore, it became possible to support the staffing plan by presenting the load and margin of workers.

  In addition, since the work assignment unit 34 assigns a work load to each worker according to the work engagement time and processing speed of each worker, it is possible to support a staffing plan that takes into account the skills of the worker. It has become possible.

  Also, the attendance status of the worker is set according to the probability variable value set by the attendance number fluctuation characteristic information 29 and the probability variable value setting unit 31, and the worker in charge of the corresponding shift and area is set in the human ability table. Since it is set to 32, it is possible to support a staffing plan corresponding to a job shop type production line.

  Further, the lot arrival number is set according to the lot arrival number variation characteristic information 28 and the probability variable value set by the probability variable setting unit 31, and the corresponding shift and the direct work load in the area are set according to the lot arrival number. Since it was set, it became possible to support a staffing plan corresponding to a job shop type production line.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

It is a figure which shows an example of the model of the production line made into object in embodiment of this invention. It is a figure for explaining classification of work. It is a figure which shows an example of a work shift. It is a block diagram which shows the hardware constitutions of the personnel allocation plan assistance apparatus in embodiment of this invention. It is a block diagram which shows the functional structure of a personnel allocation plan assistance apparatus. It is a figure which shows an example of the various information memorize | stored in the plan information storage part. It is a figure which shows an example of the various information memorize | stored in the reference | standard information storage part. 6 is a diagram illustrating an example of various types of information stored in a load / capability variation characteristic information storage unit 13. FIG. 5 is a flowchart for explaining a procedure for deriving lot arrival number variation characteristic information 28; It is a figure which shows an example of the lot arrival number fluctuation characteristic information 28 calculated by the load / capability variation characteristic information deriving unit 15 and an explanation of the deriving method. 5 is a flowchart for explaining a processing procedure of an evaluation simulation unit 16. It is a figure which shows an example of the human ability table. 4 is a diagram illustrating an example of a work load table 33. FIG. It is a flowchart for demonstrating in detail the process sequence of the production | generation (S21) of the human ability table shown in FIG. 12 is a flowchart for explaining in detail a processing procedure of workload calculation (S22) shown in FIG. It is a flowchart for demonstrating in detail the process sequence of the total of the load of direct work shown in FIG. 15 (S42). FIG. 17 is a flowchart for explaining in detail a processing procedure for setting the number of arrival lots shown in FIG. 16 (S54). FIG. 17 is a flowchart for explaining in detail a processing procedure of workload calculation (S55) shown in FIG. 16; It is a flowchart for demonstrating in detail the process sequence of total of the load of indirect work shown in FIG. 15 (S43). FIG. 20 is a flowchart for explaining in detail a processing procedure for setting irregular work (S82) shown in FIG. 19; FIG. It is a figure which shows an example of a processing efficiency matrix.

Explanation of symbols

  11 plan information storage unit, 12 reference information storage unit, 13 load / capacity variation characteristic information storage unit, 14 production history information storage unit, 15 load / capacity variation characteristic information derivation unit, 16 personnel allocation plan evaluation simulation unit, 17 result display Part 21 production plan information 22 staffing plan information 23 equipment maintenance plan information 24 manufacturing flow information 25 equipment specification information 26 and 27 work master information 28 lot arrival fluctuation characteristics 29 attendance fluctuation characteristics 29 31 random variable value setting unit, 32 human ability table, 33 work load table, 34 work allocation unit, 35 worker load table, 36 unloading load table, 51 computer main body, 52 display device, 53 FD drive, 54 FD, 55 Keyboard, 56 mouse, 57 CD-ROM device, 58 CD-ROM, 59 network communication device, 60 printer, 101 production line model, 102 aisle, 103 shelves, 106 devices, 107 workers, 109 lots, 110 products.

Claims (5)

A staff assignment plan support device for supporting a staff assignment plan in a job shop type production line,
A human capacity table where the workers in charge of the shift and area are set,
A workload table in which the workload is set;
Work assignment that refers to the human capacity table and the work load table, assigns the work load to each worker according to the work engagement time and processing speed of each worker, and calculates the load factor and unloading load of each worker Means,
A staff placement plan support apparatus, comprising: a result display means for displaying the load factor and unloading load of each worker calculated by the work assignment means. The staffing plan support device further includes a random variable value setting means for generating and setting a random variable value,
The attendance status of the worker is set according to the attendance variation characteristics information and the probability variable value set by the probability variable value setting means, and the worker in charge of the corresponding shift and area is set in the human ability table The personnel assignment plan support device according to claim 1, wherein   The personnel assignment plan support device according to claim 2, wherein the unloading load, the direct work load, and the indirect work load calculated by the work assignment unit are aggregated and set in the work load table.   The lot arrival number is set according to the lot arrival number variation characteristic information and the random variable value set by the random variable setting means, and the corresponding shift and the direct work load in the area are set according to the lot arrival number. The personnel assignment plan support device according to claim 3.   5. The personnel assignment plan according to claim 4, further comprising characteristic information deriving means for deriving the attendance number fluctuation characteristic information and the lot arrival number fluctuation characteristic information according to past production history information. Support device.

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