JP2006350832A - Work distribution device, work distribution system and work distribution method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To always accurately perform personnel distribution of a production site by taking into consideration the personnel distribution including transfer between direct workers and indirect workers. <P>SOLUTION: Personnel distribution between direct workers and indirect workers is changed. For example, when the number of defective products increases, indirect workers are increased to instruct a distribution so as not to accumulate the defective products. When production is delayed, direct workers are increased to recover actual production. Consequently, it is possible to perform personnel distribution and work distribution without having to change production conditions such as to add workers or lower the number of planned products on that day to perform adjustment in a monthly plan or to force workers to work overtime as in the conventional practice. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a work distribution device, a work distribution system, and a work distribution method for appropriately arranging a plurality of workers on a production line.

  Conventionally, in order to improve work efficiency by appropriately allocating multiple operations to workers at production sites, team leaders and other supervisors are appropriate to work processes based on empirical rules. The production plan was created by setting a proper work procedure and working time.

Further, in the work distribution table creation support system of Patent Document 1, a plurality of types of products to be assembled from production plans and personnel plans are sequentially mixed and flowed to the same assembly line, and are arranged along the assembly lines. It is assumed that the workers will assemble the products by sequentially performing the element work within the set cycle time, and for each type of product to be assembled, the arrangement and number of each worker and the element work performed by each worker Create a work analysis table that pre-determines the procedure, standard element time, and standard work process obtained by accumulating the standard element time. On the other hand, the ratio of the number of products mixed from the production plan A weighted average allocation table multiplied by the weighted average distribution table, and the weighted average data for each process corresponding to each type of product, The total cycle time obtained by integrating these is set to be within the set cycle time.
JP 2002-215860 A (refer to FIGS. 3 and 4, pages 6 to 7, FIGS. 1 and 2)

  However, when a supervisor such as a team leader creates a production plan based on a rule of thumb, etc., if the production plan becomes complicated, the production plan can be accurately confirmed according to changes in the number of products that have fallen on the line. It was difficult to correct quickly.

  Further, in the system of Patent Document 1, when the result of work distribution exceeds the set cycle time, the set cycle time is changed by changing the ratio of the mixed products or allocating the work to the workers in the preceding and following processes. It was settled to fit within.

  However, recently, while pursuing maximum efficiency, work distribution by only the workers in the front and back processes may not be able to fit within the set cycle time, in which case additional workers may be added, It is necessary to change the production conditions such as reducing the planned number of the day and adjusting with the monthly plan, or imposing overtime on the worker, and the system of Patent Document 1 cannot solve the problem.

  In addition, there are worker divisions at the production site, and direct workers who work directly on products in the process and indirect work on production such as parts supply and product repair. There are two indirect workers. The direct operator's work is continuous, so there is almost no work free time. On the other hand, the work of indirect workers tends to occur mainly intermittently. For this reason, idle time occurs between the indirect work, and when this idle time is viewed as the total time of the day, It is the actual situation. In particular, indirect workers caused significant losses when there was no product repair work. Moreover, when repair work frequently occurred, the capacity of the indirect worker exceeded the capacity of the indirect worker, and the line-off products that needed repair overflowed into the work process, resulting in excessive work in progress.

  However, in the past, it was not enough to focus on the fluctuations in the required work time of joint workers, and consider the staffing including movement between direct workers and indirect workers. Waste and shortage sometimes occurred.

  Therefore, the present invention has been made in view of the above-described conventional problems, and always considers personnel assignment on the production site in consideration of personnel assignment including movement between direct workers and indirect workers. An object is to provide a work distribution device, a work distribution system, and a work distribution method that can be performed.

  In order to solve the above-mentioned problems, the work distribution device of the present invention is a work distribution device for quickly changing personnel between processes of a production line for producing products, and is a production collecting data for production results of products. A performance collection unit, a line drop result collection unit that collects defective product data, a repair result collection unit that collects data of repaired products, a production plan master that stores product production plans, and the production result collection Production record master storing the production record data collected by the department, line drop master storing the data collected by the line drop record collection part, and repair record storing the data collected by the repair record collection part The master, the repair time master by defect factor that stores the repair time for each defect factor of the product, and the management data of the direct worker who assembles the product and the indirect worker who repairs the defective product A management master for managing the writing and reading of data with respect to the production master, the line failure master, and the repair performance master And a direct worker based on the data of the production plan master, the production record master, the line drop master, the repair record master, the repair time master by defect factor, the personnel master, and the work time master. And an indirect worker to replace the indirect workers and obtain a staff assignment and work distribution, and a result output section for outputting the staff assignment and work distribution results obtained by the computation section.

  According to such an apparatus of the present invention, product production result data, defective product data, repaired product data, product production plan, production result data, repair time for each cause of product failure, direct worker Indirect workers and indirect workers are replaced based on the management data of the indirect workers and the latest overtime time of the production line, and personnel allocation and work distribution are requested. Considering personnel allocation including movement, personnel allocation at production sites can always be performed accurately.

  In addition, the work distribution system of the present invention was read by a barcode reader that reads the barcode of a product in the assembly process and the barcode reader in order to fulfill the function of the production result collection unit in the work distribution device of the present invention. A bar code reader for reading a bar code of a product in an inspection process and a bar code in order to perform the function of an input result collecting unit including at least a computer for collecting data, and a line drop result collecting unit in the work distribution apparatus of the present invention. A bar code for reading a bar code of a product in a repair process in order to perform the function of a line drop record collecting device including at least a computer for collecting data read by a reader and a repair record collecting unit in the work distribution device of the present invention. Reader and barcode reader A repair result collecting device including at least a computer that collects data read from, and a production plan master, a production result master, a line drop master, a repair result master, a repair time master by defect factor, and personnel in the work distribution device of the present invention. A computer that functions as a master, a working time master, a management unit, and a calculation unit, a printer that functions as a result output unit in the work distribution device of the present invention, a target tact time, personnel allocation, work distribution, and the like And a production management monitor for displaying.

  In this way, the system of the present invention can be constructed by combining a computer, a barcode reader, a printer, a monitor, and the like.

  Further, the work distribution method of the present invention includes a step of calculating the number of defective products, a step of calculating the number of indirect workers repairing the defective products based on the number of defective products, and the total number of workers. Subtracting the number of indirect workers to calculate the number of direct workers to assemble the product, calculating the target tact time based on the number of direct workers, and based on the target tact time, Determining whether the production forecast achieves the production plan, recalculating the target tact time so that the production plan can be achieved if it is determined that the production forecast cannot achieve the production plan, Recalculating the number of workers directly from the recalculated target tact time; and recalculating the direct work from the total number of workers. By subtracting the number of persons, and a step of re-calculating the number of indirect workers.

  According to such a method of the present invention, first, the number of indirect workers who repair a defective product is obtained, then the number of direct workers who assemble the product is obtained, and the target is determined based on the number of direct workers. Tact time is calculated. Then, based on this target tact time, it is determined whether the production forecast achieves the production plan. If the production plan can be achieved, the number of indirect workers and the number of direct workers are changed. It is set without being done. If the production plan cannot be achieved, the target tact time that can achieve the production plan is recalculated, and the number of direct workers and the number of indirect workers are calculated backward from the recalculated target tact time. Looking for. Thereby, it is possible to always and appropriately perform the personnel assignment on the production site in consideration of the personnel assignment including the movement between the direct worker and the indirect worker.

  According to the present invention as described above, it is possible to always arrange an indirect worker who is appropriate for processing defective products that increase or decrease. When there are few defective products, the number of indirect workers is reduced to prevent waiting loss due to excessive placement. In addition, when defective products frequently occur, the process can always be organized without increasing the number of indirect workers and increasing the line drop stock.

  When the production plan for the day suddenly increases, you can go from the repair process to the assembly process, create an optimal work distribution table that takes into account the increased personnel, and perform efficient production.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

  FIG. 1 is a functional block diagram showing an embodiment of the work distribution apparatus of the present invention. The work distribution apparatus according to the present embodiment includes a production result collecting unit 1 that collects production result data of products assembled in the assembly process, and a line drop result collecting unit that collects line drop data indicating defective products rejected in the inspection process. 2. Stored repair result collection unit 3 for collecting repair result data indicating products repaired in the repair process, production plan master 10 for storing product production plans, and production result data collected by production result collection unit 1 Production record master 11, line drop master 12 storing line drop data collected by line drop record collecting unit 2, repair record master 13 storing repair record data collected by repair record collecting unit 3, cause of product failure Defect factor-specific repair time master 14 storing separately obtained repair time, and personnel master 1 for storing and managing a list of registered employees of direct workers and indirect workers , Work time master 16 for storing and managing start time, break time, end time, and latest overtime time available for work, management unit 4 for writing and reading data to and from each master, production based on data of each master A calculation unit 5 that calculates the personnel allocation and work distribution on the site, and a result output unit 6 that outputs the personnel allocation and work distribution calculated by the calculation unit 5 are provided.

  FIG. 2 is a diagram illustrating a system that implements the work distribution device of FIG. In this system, the host computer 20 is the center of the system, and a printer 31, a production management monitor device 24, an assembly process input result collection device 21, an inspection process line drop result collection device 25, and a repair process repair result collection device 28. Are connected to the host computer 20 through a network.

  A plurality of printers 31, production management monitor devices 24, and devices 21, 25, and 28 may be provided. Further, the role of the host computer 20 may be distributed to a plurality of terminal devices on the network.

  The assembly process input result collection device 21 corresponds to the production result collection unit 1 of FIG. 1, and includes a terminal device 22 including a computer and a monitor, and a barcode reader 23. The bar code reader 23 reads the bar code of the product input at the beginning of the assembly process one by one, and outputs the product history and the like indicated by the bar code to the terminal device 22. The terminal device 22 collects resumes and the like of a plurality of products, generates production result data from the resumes and the like of each product, displays the production result data on a monitor, and displays the production result data on the host computer 20. Send to.

  The line drop record collection device 25 in the inspection process corresponds to the line drop record collection unit 2 in FIG. 1 and includes a terminal device 26 including a computer and a monitor, and a barcode reader 27. The bar code reader 27 reads the bar code of the defective product repelled in the inspection process, and outputs a product history document or the like indicated by the bar code to the terminal device 26. The terminal device 26 collects resumes and the like of defective products as line drop data, displays the line drop data on a monitor, and transmits the line drop data to the host computer 20.

  The repair result collection device 28 in the repair process corresponds to the repair result collection unit 3 in FIG. 1 and includes a terminal device 29 including a computer and a monitor, and a barcode reader 30. The bar code reader 30 reads the bar code of the product repaired in the repair process, and outputs the product history and the like indicated by the bar code to the terminal device 29. The terminal device 29 collects a resume of defective products as line drop data, displays the line drop data on a monitor, and transmits the line drop data to the host computer 20.

  The host computer 20 serving as the center of the system includes a production plan master 10, a production record master 11, a line drop master 12, a repair record master 13, a repair factor master 14, a personnel master 15, a working time master 16, Corresponding to the management unit 4 and the calculation unit 5, the masters 10 to 16 are stored in the storage device, and serve as the management unit 4 and the calculation unit 5. The printer 31 corresponds to the result output unit 6 in FIG.

  The production management monitor device 24 is provided at each station (work place) in the assembly process, and receives and displays various information about the production line from the host computer 20. For example, the target tact time, the number of dropped lines, the number of direct workers, the number of indirect workers, the production prediction, the staffing map, and the like are displayed, and these can be confirmed by the worker.

  Next, a work standard time estimate which is the original data for performing work distribution in the assembly process shown in FIG. 3 will be described. The work standard time estimate is stored in the storage device of the host computer 20 in the same manner as the masters 10 to 16 in FIG.

  The standard time in this work standard time estimate is the time required for a single worker who has gone through a proficiency period with a certain work method to complete the work at the standard work speed under the prescribed standard work conditions. is there.

  The work standard time estimate is created for each product model name 40. The work item number 41, the work item 42, the work item repetition count 43, and the work item once at a standard work speed. The net time (unit) 44 required for the above and the net time (total) 45 obtained by adding the number of times 43 to the net time (unit) are shown in association with each other. Further, a total 46 obtained by adding the net time (total) 45 of each work item is also shown.

  Next, a repair process appropriate personnel table showing indirect workers appropriate for the number of dropped lines shown in FIG. 4 will be described. The repair process appropriate personnel table is stored in the storage device of the host computer 20 in the same manner as the masters 10 to 16 in FIG.

  This repair process appropriate personnel table shows the work time 50 required to repair a defective product repelled in the inspection process and the number of indirect workers 51 in association with each other. The work time 50 is estimated based on the failure factor-specific repair time master 14 of FIG. As described above, the repair time master 14 for each defect factor stores the repair time obtained for each defect factor of the product. As shown in FIG. 5, the defect symptom, the cause of the defect, and the work for one person are stored. This indicates the repair time required for the person to repair the defective product in association with each other.

  For example, if there are 10 defective products whose failure symptom is “no fan rotation” and the cause of failure is “forgetting to insert a connector”, referring to the repair time master 14 by failure cause, As the repair time required for repairing the defective product, “6 (minutes)” is obtained, and the work time 50 is estimated to be 60 (minutes) (= repair time “6 (minutes)” × 10 units). The number of indirect workers 51 “2 (name)” corresponding to 60 (minutes) of the work time 50 is obtained with reference to the appropriate repair process personnel table.

  In the present embodiment, as shown in FIG. 6, the number of work tables T for the repair process is set to six, so the maximum number of indirect workers in the repair process appropriate personnel table is six.

  Next, the process of staffing by the work distribution device of this embodiment will be described with reference to the flowcharts of FIGS.

  First, in accordance with the flowchart of FIG. 7, it is determined whether or not the personnel assignment needs to be changed. The arithmetic unit 5 compares the production plan in the production plan master 10 with the production result data in the production result master 11 through the management unit 4 at an arbitrarily set time, and whether the production result satisfies the number of production plans. It is determined whether or not (step S101). For example, if the planned production quantity is satisfied (“Yes” in step S101), the calculation unit 5 stops the production line and ends the product production work.

  If the planned production quantity is not satisfied (“No” in step S101), the calculation unit 5 refers to the latest overtime time at which work can be performed in the work time master 16 through the management unit 4, and the current time It is determined whether or not the latest overtime time at which work is possible has been reached (step S102). If the latest overtime time has been reached (“Yes” in step S102), the line is stopped and the operation is terminated.

  In addition, if the latest overtime time at which work is possible has not been reached (“No” in step S102), the calculation unit 5 may ensure that the planned number of production is satisfied before the latest overtime time at which work can be reached. 2 is executed, and the process of the flowchart of FIG. 2 is executed to change the personnel assignment.

  Note that the arbitrarily set time at which the determination in step S101 is performed is set to, for example, the time before the break. As a result, even if it is deemed necessary to change the personnel allocation, the personnel allocation will be changed immediately after the break, and no changes will be made during the work, resulting in a time loss associated with the operator's allocation change. Is reduced.

  Next, according to the flowchart of FIG. First, the calculation unit 5 refers to the line drop data in the line drop master 12 and the repair record data in the repair record master 13 through the management unit 4 to obtain the current number of defective products and defect symptoms (step S110). .

  For example, the line drop data in the line drop master 12 is associating an inspection date / time of a defective product, a model code, a resume number, and a defective symptom in the inspection process as shown in FIG. Further, the repair record data in the repair record master 13 correlates the repair start time and end time of the defective product in the repair process, the model code, the resume No., and the cause of the defect as shown in FIG. Is. The arithmetic unit 5 compares and refers to the resume No of the line omission data and the resume No of the repair record data, removes the defective products that have already been repaired from all the defective products that have occurred, and is still being repaired. The number of non-defective products is obtained, and this is set as the current number of defective products, and the defective symptoms of the current defective product are obtained.

  Next, the calculation unit 5 refers to the defect factor-specific repair time master 14 as shown in FIG. 5 through the management unit 4 and determines that a single worker is defective for each current defective product obtained in step S111. The repair time required for repairing the product is obtained, and the total repair time required for repairing all currently defective products is obtained as the work time 50. And the calculating part 5 calculates | requires the number 51 of the indirect worker corresponding to this work time 50 with reference to the repair process appropriate personnel table of FIG. 3 through the management part 4 (step S111).

  In addition, when there are a plurality of types of failure causes that cause a failure symptom of the current defective product, for example, the maximum repair time of each failure cause may be selected to obtain the total repair time. Or you may use the average of the repair time of each defect cause.

  Furthermore, the calculation unit 5 refers to the list of registered personnel in the personnel master 15 through the management unit 4, and subtracts the number 51 of indirect workers from the total number of workers including the direct workers and indirect workers, All the remaining personnel are direct workers arranged in the assembly process (step S112). Furthermore, the calculation unit 5 refers to the work standard time estimate in FIG. 3 through the management unit 4 to obtain a total 46 obtained by adding the net time (total) 45 of each work item, and this total 46 is obtained in step S112. The value obtained by dividing by the number of direct workers obtained in step S5 is set as the target tact time (step S113).

  Next, the calculation unit 5 obtains a production prediction based on the production plan in the production plan master 10, the production result data in the production result master 11, the target tact time obtained in step S113, and the like. It is determined whether or not the production plan can be achieved (step S114).

  For example, as shown in FIG. 11A, it is assumed that the production plan is 600 units, and the production performance is 239 units at the current time 12:10. The direct rate at the time of 12:10 is 95%, and the target tact time obtained in step S113 is 53 seconds. The straight line rate is a value obtained by dividing the number of products assembled in a straight line by the number of products put into the production line and multiplying the quotient by 100 without causing any defects or removing from the assembly process. It is.

  At this time, the production prediction, that is, the time required for the production performance to reach the production plan is expressed by the following equation (1).

Necessary time = (Production plan-Actual production) x Target tact time ÷ Direct rate ... (1)
If 600 production plans, 239 production results, a direct production rate of 95%, and a target tact time of 53 seconds shown in FIG. 11A are substituted into the above equation (1), the required time becomes 336 minutes.

  Then, the calculation unit 5 refers to the break time, the end work time, the latest overtime time, and the like in the working time master 16 through the management unit 4, and the break time is 80 minutes (12:10 to 13:00, 15:00). ~ 15: 10 and 17: 40 ~ 18: 00), the required time of 336 minutes and the rest time of 80 minutes, the sum of 416 minutes, and the current time of 12:10 to 416 minutes later, 19:06 Obtained as the scheduled end time. Further, the calculation unit 5 determines that the production plan can be achieved if the scheduled production end time 19:06 is before the latest overtime time (“Yes” in step S114), and the scheduled production end time 19:06. If the minute exceeds the latest overtime time, it is determined that the production plan cannot be achieved (“No” in step S114).

  For example, as shown in FIG. 11B, when the scheduled production end time 19:06 is before the latest overtime time 20:30 and the production plan can be achieved (“Yes” in step S114), the calculation is performed. The unit 5 calculates the personnel allocation and work distribution in the assembly process (step S118). The calculation unit 5 arranges personnel in order from the head of each station (work place) in the assembly process using, for example, the assembly process dispatch map 60 of FIG. The assembly process assignment map 60 of FIG. 12 is stored in the storage device of the host computer 20 as with the masters 10 to 16 of FIG. Further, the calculation unit 5 refers to the work standard time estimate in FIG. 3 through the management unit 4 and allocates the work distribution so that the work standard time of each worker is closest to the target tact time obtained in step S113. shake.

  This work distribution will be described using a specific example of FIG. For the No. 1 worker, work from “bar code reading” to “take LCD unit” is assigned, and the work standard time is set to 52 seconds. If the work up to “positioning the LCD unit on the backlight assembly” is allocated to the No. 1 worker, the work standard time is 56.1 seconds, and the difference from the target tact time 53 seconds obtained in step S113 is growing. Therefore, the work from “positioning the LCD unit to the backlight assembly” is allocated to the No. 2 worker. In the same manner, the work is sequentially assigned to the No. 2 worker, No. 3 worker,... So that the standard work time is close to the target tact time of 53 seconds.

  Finally, the management unit 4 outputs the results obtained in steps S110 to S114 and step S118 to the production management monitor device 24 and the printer 31 (step S119), and ends this process. FIG. 14 shows a display example by the production management monitor device 24.

  When the production prediction does not achieve the production plan (“No” in step S114), the calculation unit 5 changes the target tact time so that the production prediction can achieve the planned number of vehicles by the latest overtime time (S115). ). That is, the target tact time is shortened and the scheduled production end time before the latest overtime time is set. This target tact time is obtained from the following equation (2).

Target tact time (seconds) =
(Operating time from the current time to the latest overtime) ÷ (Production plan-Actual production) x Direct rate ... (2)
The change of the target tact time will be described using a specific example of FIG. As shown in FIG. 15A, assuming that the production plan is 600 units, the production result is 130 units at 12:10, and the direct rate is 95%, the target tact time is set to 56 seconds in step S113. . In this case, the production prediction is as shown in FIG. 15B, and the latest overtime 20:30 is passed when the production performance reaches 600 production plans. Therefore, in step S114, it is determined that the production prediction does not achieve the production plan at the target tact time of 56 seconds, and the process proceeds to step S115. In step S115, the target tact time is recalculated using the above equation (2). Production plan 600 units, production results 130 units at the current time 12:10, direct rate 95%, and operation time 420 minutes from the current time to the maximum overtime time in the above formula (2) When substituted, a target tact time of 51 seconds is calculated.

  Next, the computing unit 5 recalculates the number of direct workers necessary to set the changed target tact time (step S116). The number of direct workers is recalculated from the following equation (3).

Number of direct workers =
(Total work standard time in assembly process) ÷ Target tact time (3)
Since the target tact time is 51 seconds and the work standard time estimate in FIG. 3 is referred to, the total 46 is 1479 seconds, so the number of direct workers is calculated as 29 based on the above formula (3). The

  Next, the calculation unit 5 refers to the list of registered personnel in the personnel master 15 through the management unit 4 and subtracts the number of workers directly from the total number of workers including the direct workers and indirect workers. Then, the number of indirect workers is set (step S117), and the personnel allocation and work distribution in the assembly process are calculated (step S118). As described above, the personnel allocation uses the assembly process allocation map 60 of FIG. 12 to allocate personnel in order from the beginning of each station (work place) in the assembly process. In addition, the work allocation is performed by allocating the work distribution so that the work standard time of each worker is closest to the target tact time 51 seconds obtained in step S115 while referring to the work standard time estimate in FIG. It is.

  As a result, production prediction that satisfies the production plan as shown in FIGS. 15C and 15D is established.

  Finally, the management unit 4 outputs the results obtained in steps S110 to S118 to the production management monitor device 24 and the printer 31 (step S119), and ends this process.

  As described above, in the present embodiment, the personnel assignment between the direct worker and the indirect worker is changed. For example, when the number of defective products increases, the number of indirect workers is increased and a placement instruction is given so as not to store defective products. In addition, when production is delayed, the number of workers is increased directly and production performance is recovered. As a result, it is not necessary to change the production conditions such as adding workers as before, reducing the planned number of days on the day, adjusting according to the monthly plan, or imposing overtime on workers. Allocation is possible.

  In addition, this invention is not limited to the said embodiment, It can deform | transform variously. For example, instead of a bar code, an IC tag or the like may be added to a product, and product data may be read / written and collected through the IC tag.

  The present invention eliminates the placement of excessive indirect workers that have been a factor of loss without being effectively used at production sites, etc. It can be applied as one of the solutions for further on-site productivity improvement.

It is a functional block diagram which shows one Embodiment of the work distribution apparatus of this invention. It is a figure which shows the system which implement | achieves the work distribution apparatus of FIG. It is a figure which illustrates the work standard time estimate in the work distribution apparatus of FIG. It is a figure which illustrates the repair process appropriate personnel table in the work distribution apparatus of FIG. It is a figure which illustrates the repair time master classified by defect factor in the work distribution apparatus of FIG. It is a figure which illustrates the installation aspect of the work table of a repair process. It is a flowchart which shows the determination processing whether the personnel allocation change by the work distribution apparatus of FIG. 1 is required. It is a flowchart which shows the personnel allocation change process by the work distribution apparatus of FIG. It is a figure which illustrates the line drop master in the work distribution apparatus of FIG. It is a figure which illustrates the repair performance master in the work distribution apparatus of FIG. (A) is a chart which shows the data used for production prediction, (b) is a graph which shows the result of production prediction. It is a figure which illustrates the assembly process staffing map in the work distribution apparatus of FIG. It is a chart which illustrates work distribution by the work distribution device of FIG. It is a figure which shows the example of a display of the production management monitor apparatus in the work distribution apparatus of FIG. (A) is a chart showing data used for production prediction, (b) is a chart showing the result of production prediction, and (c) is a chart showing a change in target time in the data of (a). (D) is a graph which shows the result of the production prediction based on the changed target time.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Production result collection part 2 Line drop result collection part 3 Repair result collection part 4 Management part 5 Calculation part 6 Result output part 10 Production plan master 11 Production result master 12 Line drop master 13 Repair result master 14 Repair time master 15 by defect factor Personnel master 16 Working time master 20 Host computer 21 Input result collection device 22 Terminal device 23 Bar code reader 24 Production management monitor 25 Line drop result collection device 26 Terminal device 27 Bar code reader 28 Repair result collection device 29 Terminal device 30 Bar code reader 31 Printer 40 Model name 41 No
42 work items 43 times 44 net time (single)
45 Net time (total)
46 Total 50 Working hours (minutes)
51 people
60 Assembly process staffing map

Claims (3)

A work distribution device for quickly changing personnel between processes on a production line that produces products,
A production performance collection unit that collects product production data;
A line drop record collection unit that collects data on defective products,
A repair performance collection unit that collects data on repaired products;
A production plan master that stores the production plan for the product,
A production record master storing production record data collected by the production record collection unit;
A line drop master storing data collected by the line drop record collection unit;
A repair record master that stores data collected by the repair record collection unit;
A repair time master by defect factor that stores the repair time for each defect factor of the product,
A personnel master that stores management data for direct workers who assemble products and indirect workers who repair defective products,
A working hour master that manages at least the latest overtime on the production line;
A management unit that manages writing and reading of data with respect to the production record master, the line drop master, and the repair record master;
Based on the respective data of the production plan master, the production record master, the line failure master, the repair record master, the repair factor master by defect factor, the personnel master, and the working time master, direct workers and indirect An operator that replaces workers and obtains personnel allocation and work distribution; and
A work distribution apparatus comprising: a result output unit that outputs a staff assignment and a work distribution result obtained by the calculation unit. In order to fulfill the function of the production result collecting unit in the work distribution device according to claim 1, at least a barcode reader for reading a barcode of a product in an assembly process and a computer for collecting data read by the barcode reader are included. Input record collection device,
In order to perform the function of the line drop record collection unit in the work distribution device according to claim 1, at least a barcode reader that reads a barcode of a product in an inspection process, and a computer that collects data read by the barcode reader Including line drop record collection device,
In order to fulfill the function of the repair result collecting unit in the work distribution device according to claim 1, at least a bar code reader for reading a bar code of a product in a repair process and a computer for collecting data read by the bar code reader are included. Repair results collection device,
The functions of the production plan master, production result master, line failure master, repair result master, repair factor master by defect factor, personnel master, working time master, management unit, and calculation unit in the work distribution device according to claim 1 A computer that fulfills
A printer that functions as a result output unit in the work distribution device according to claim 1;
A work distribution system comprising: a production management monitor for displaying target tact time, personnel assignment, work distribution, and the like. Calculating the number of defective products;
Calculating the number of indirect workers repairing the defective product based on the number of defective products;
Subtracting the number of indirect workers from the total number of workers to calculate the number of direct workers to assemble the product;
Calculating a target tact time based on the number of direct workers;
Determining whether the production forecast achieves a production plan based on the target tact time; and
Recalculating the target tact time so that the production plan can be achieved if it is determined that the production forecast cannot achieve the production plan;
Recalculating the number of workers directly from the recalculated target tact time;
Subtracting the recalculated number of direct workers from the total number of workers to recalculate the number of indirect workers;
A work distribution method characterized by including:

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