JP2007206744A - Throughput calculation device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a throughput calculation device, for improving processing efficiency of a system which performs processing including a plurality of processes by a plurality of devices. <P>SOLUTION: The throughput calculation device 10 comprises an input part 11, a storage part 13, first and second calculation parts 14 and 18, a first distribution part 15 and an output part 20. The first calculation part 14 calculates, for each process, factor α that is the number of products to be processed by one processor of a first processing amount. The first distribution part 15 distributes the first processing amount to processors in the descending order of the factor α for each of the plurality of processes. The output part 20 outputs the distribution result. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a processing capacity calculation device used in a system that performs processing of a plurality of predetermined processes on a product by a plurality of devices, and in particular, a system in which at least one device can perform a plurality of steps. The present invention relates to a processing capacity calculation device used for the above.

  When calculating the processing capability value of a production line (system) consisting of a plurality of devices, if one device performs only one process, the device with the smallest processing capability value becomes the bottleneck device, and the processing of that device The capability value becomes the processing capability value of the production line. However, when a plurality of processes are performed with one apparatus, it is not possible to calculate the processing capacity value of the production line from only the processing capacity value of one apparatus. By calculating the processing capacity value for each process, it is possible to calculate the processing capacity value of a production line that performs a plurality of processes with one apparatus.

  For example, in a semiconductor production line, production variability due to market trends is severe, and processing conditions frequently change. Therefore, a plurality of processes are often performed by repeatedly using one apparatus. In such a case, the processing capacity value of the production line also varies due to variations in processing conditions. For this reason, in order to calculate the processing capacity value of the manufacturing line with high accuracy and easily and to improve the efficiency of processing of the manufacturing line, the number of products to be processed within a predetermined period (the first processing number) ) Is distributed to each device by means that match the actual situation.

  For example, the following three methods (1) to (3) are known as means for calculating a processing capability value for each process in a production line that performs a plurality of processes with one apparatus. In addition, it demonstrates as what has the following preconditions.

(Prerequisite)
The production line includes three devices, device # 1, device # 2, and device # 3. The daily processing capacity value (device capacity value) of each device is apparatus # 1 = 500 sheets / day. Suppose that apparatus # 2 = 500 sheets / day and apparatus # 3 = 500 sheets / day.

  In addition, there are three processes, process A, process B, and process C, and the number of sheets to be processed per day (first process number) in each process is process A = 450 sheets / day, process B = 400 sheets / day. Suppose that the process C = 400 sheets / day.

  Further, the process A can be performed by the apparatuses # 1, # 2, and # 3, the process B can be performed by the apparatuses # 1 and # 2, and the process C can be performed only by the apparatus # 1.

(1) Process number equal distribution method In this method, the processing capacity value of the entire production line is equally distributed to a plurality of processes carried out on the manufacturing line. ). In this method, the processing capability values of all the steps are uniform. A calculation formula for calculating the processing capability value for each process by this method is shown below. Here, j = A, B, C, m = 3, and n = 3.

  FIG. 1 is a diagram showing the calculation result of the process capability value calculated by the process number equal distribution method. In this method, the processing capacity values of the entire production line (500 sheets / day × 3 units) are evenly distributed by the number of processes (3 processes).

Processing capacity value by process Yj = 500 × 3 ÷ 3 = 500 (sheets / day / process)
The processing capability values YA, YB, and YC for each of the processes A, B, and C are uniformly calculated as 500 (sheets / day / process).

(2) Processing condition number equal distribution method In the process number equal distribution method, the process capability values for each process of all processes are calculated uniformly. However, not all the processes performed on the production line can be performed by all the apparatuses in the production line, and the processes other than the apparatus for which the processing conditions for performing the process are set are performed. I can't. For this reason, the processing capability value for each process is affected by the number of devices that can be implemented, which indicates how many devices have the processing conditions for that process. In this method, the processing capacity value for each process is calculated in consideration of the processing conditions set for each apparatus.

  In this method, the processing capability value of each device is equally distributed to all the processes that can be performed by the device, and the allocated processing capability value is summed up for each process, so that the processing capability value for each step of each step is obtained. It is calculated (see, for example, Patent Document 1). A calculation formula for calculating the processing capability value for each process by this method is shown below.

  FIG. 2 is a diagram illustrating a calculation result of process capability values calculated by the process condition number equal distribution method. In this method, the device capability value of each device is divided by the number of processing conditions set in the device, and the device capability values are evenly distributed for all processes that can be performed in the device. Then, by summing the device capability values allocated in each device for each step, the process capability value for each step is calculated.

Process capacity value YA = 500 ÷ 3 + 500 ÷ 2 + 500 ÷ 1 = 917 (sheets) of process A
Process capacity value of process B by process YB = 500 ÷ 3 + 500 ÷ 2 = 417 (sheets)
Process capacity value of process C by process YC = 500 ÷ 3 = 167 (sheets)
As described above, in this method, the process C that cannot be performed by an apparatus other than the apparatus # 1 greatly falls below the first processing number of 400 sheets, and the capacity is insufficient. In addition, for the process A that can be carried out by all the apparatuses, the capacity more than twice the 450 number of the first processing is calculated, and the capacity difference between the processes appears greatly. However, in an actual production site, processing operations that cause such a difference in capacity are not performed.

(3) First Process Number Allocation Method In this method, the first process number for each production type is determined by the production plan number information for each production type and the production flow information that defines the production process procedure for each production type. Is calculated. And, the production device number information that identifies the production device number that is guaranteed to be processed in each process for each production type, the processing priority information for each production device number that is guaranteed to be processed in each step for each production type, and Based on the tact time information for each production device that is a candidate for processing in each process for each production type, the first operation number is converted into the required processing time, and the operation time is compared to the operation time for each production device. -The number of processes is allocated until the required processing time becomes zero. Then, the number of processed products for each production type and process is classified into the number of products that have been assigned for each production device and the number of products that could not be assigned (see, for example, Patent Document 2).
JP-A-5-20333 JP 2000-246599 A

  However, the above-described conventional techniques have the following problems.

(1) About the process number equal distribution method This method is based on the premise that all the processes can be performed in each of all the apparatuses in the production line. However, in practice, the processes that can be performed by each device in the production line are different, and there are devices that can be performed for a certain process and devices that cannot be performed, and thus the devices that can perform each process are limited. For this reason, when the number of processes that can be performed in each apparatus in the production line is different, this method cannot accurately calculate the processing capability value for each process.

  When the processing capability value for each process is calculated by this method in the above-described case, the processing capability values for all the processes are calculated uniformly. Therefore, the number of processing conditions set for each device (that is, each device) There is a problem in that it is not possible to evaluate a difference in processing capability value between processes due to a difference in the number of processes that can be performed. In order to evaluate the difference in processing capability value between processes, it is necessary to allocate the first processing number to each device in consideration of the number of processing conditions set in each device.

(2) About the processing condition number equal distribution method In this method, the processing capacity value for each process is calculated using the processing condition number set for each apparatus. Since the difference in the number of processing apparatuses) is not taken into consideration, the difference in the processing capability values between the process with a large number of processing apparatuses and the process with a small number of processes may be large. In this case, a result deviating from the processing operation performed at the actual production site is calculated.

  In the processing operation performed at the actual production site, processes with a small number of processing devices are preferentially allocated to the processing devices so that processing for the first processing number can be performed for all processes. Also, a process with a large number of processing devices is allocated so that a process with a small number of processing devices and a processing device with a small number of processing devices are preferentially performed by a device that cannot perform a process with a small number of processing devices. Has been.

  For this reason, as described above, with this method, it is difficult to allocate the first processing number to each device by means that matches the actual condition and to calculate the processing capability value for each process with high accuracy. Therefore, it is difficult to improve the processing efficiency of the production line.

(3) About the first process number allocation method In this method, the procedure for proceeding with the allocation of the first process number is performed in the order of the smallest number of processable production devices, the order of the smallest number of production plans, and after the production process. Yes. In order to reflect the processing operation performed at the actual production site described above in the calculation of the processing capability value, it is necessary to preferentially assign a process that is difficult to process. For this purpose, it is necessary to associate and consider the number of production apparatus units that can be processed (corresponding to the number of processing apparatuses of the present invention) and the number of production plans (corresponding to the first processing number of the present invention). In addition, since the method of assigning the number of production plans when there are multiple processing devices is not clear, the difference in the processing capacity value between processes is due to the actual processing operation, as in the above-mentioned problem with the uniform distribution of processing conditions There is a concern that it may be calculated larger than that.

  For this reason, even in this method, it is difficult to allocate the first processing number to each device by means that matches the actual situation and to calculate the processing capability value for each process with high accuracy. Therefore, it is difficult to improve the processing efficiency of the production line.

  An object of the present invention is to provide a processing capacity calculation device capable of improving the efficiency of processing of a system in which processing of a plurality of processes is performed by a plurality of devices.

  The processing capacity calculation apparatus according to the present invention is configured as follows to solve the above-described problems.

  (1) A processing capacity calculation device according to the present invention includes an input unit, a calculation unit, and an output unit, and is used in a system that performs a plurality of predetermined processes on a product by a plurality of devices.

  The input unit is a first processing number that is the number of products to be processed within a predetermined period of each of a plurality of processes, a relationship between each of the plurality of processes and one or a plurality of processing devices capable of performing each process, And the input of the apparatus capability value which is the number of the products which can be processed to the maximum with each apparatus within a predetermined period is received.

  For each of the plurality of processes, the calculation unit calculates a second process number, which is the number of products to be processed by one processing apparatus among the first process number, and a process in which the second process number is large. A process of allocating a first processing number to each of one or a plurality of processing devices and allocating so that a cumulative number of allocation numbers for each processing device after allocation is equal to or less than a device capability value of the processing device; I do.

  The output unit outputs the distribution result in the calculation unit.

  In this configuration, the second processing number for each process is calculated by calculating the first processing number and the number of processing devices in association with each other. Then, based on the second processing number, the first processing number of each process is distributed to each device, and the distribution result is output to the output unit.

  (2) The second processing number is a number obtained by dividing the first processing number by the number of processing devices.

  In this configuration, the second processing number is calculated by dividing the first processing number for each step by the number of processing devices in the step. For this reason, the process which is hard to be processed is accurately determined based on the second processing number.

  (3) The computing unit distributes the first processing number to the processing devices in order from the step having the smallest number of processing devices, for a plurality of steps having the same second processing number.

  In this configuration, when the number of second processes in the plurality of processes is the same, the first process number is preferentially distributed to the apparatus in priority from a process with a small number of processing apparatuses, that is, a process that is difficult to process.

  (4) When the cumulative number of allocation numbers for each processing device after allocation exceeds the device capability value of the processing device, the arithmetic unit distributes the excess allocation number evenly to other processing devices.

  In this configuration, since the excess allocation number is evenly distributed to the other processing apparatuses, the difference in the allocation number of each process among apparatuses becomes small.

  (5) After the allocation of the first processing number of all processes to each device is completed, the arithmetic unit obtains a surplus device capability value obtained by subtracting the cumulative number from the device capability value as a positive number. About an apparatus, according to the allocation number of each process in an apparatus, the surplus apparatus capability value is proportionally allocated for each process.

  In this configuration, since the surplus device capacity value is proportionally distributed for each process in accordance with the number of allocation of each process, the processing capacity value by process, which is the sum of the allocation number for each process, is leveled. It becomes.

  (6) The calculation unit further calculates a device margin value obtained by dividing the device capability value by the cumulative number after the allocation of the first processing number of all steps to each device is completed, The product of the number of distributions for each process and the device margin value is used as the number of distributions for each process.

  In this configuration, the device margin value is calculated. For example, the device capacity value of the device # 3 is 500 sheets, and the device # 3 can execute the process A and the process B. In the device # 3, 300 sheets are allocated as the process A and 100 sheets are allocated as the process B. Suppose. In this case, the cumulative number is 400, and the apparatus margin value is 500/400 = 1.25. Accordingly, the allocation number of process A is 300 × 1.25 = 375 (sheets), the allocation number of process B is 100 × 1.25 = 125 (sheets), and the device capability value of device # 3 (500 sheets) ) Are allotted to the process that was supposed to be performed by the apparatus # 3.

  (7) For each process, the calculation unit further calculates a process capability value that is the sum of the number of distributions for each process, and the output unit further outputs a process capability value for each process.

  In this configuration, a process capability value for each process is calculated. By comparing the processing capability value by process and the first processing number, the process margin is evaluated for each process.

  (8) The calculation unit further calculates a process margin rate obtained by dividing the process capability value for each process by the first number of processes.

  In this configuration, a process margin rate is calculated for each process. The larger the process margin rate is, the more margin is available for each process capacity with respect to the first process number of the process, and the smaller the process margin ratio is, the less process capacity value for each process is relative to the first process number. Is easily evaluated.

  According to the present invention, the following effects can be obtained.

  (1) Since the first processing number of each process is distributed to each device based on the second processing number calculated by associating the first processing number with the number of processing devices, the first processing number is preferentially selected from the steps that are difficult to process. One processing number can be distributed to each device. For this reason, since the first processing number can be distributed to each device by means of reflecting the processing operation performed at the actual production site, all of the first processing number should be surely distributed to each device. Can do. Therefore, the efficiency of processing of the system can be improved.

  (2) Since the second processing number is calculated by dividing the first processing number for each step by the number of processing devices in the step, priority is given to the step that is difficult to process based on the second processing number. The first processing number can be distributed to each device. For this reason, it is possible to reliably distribute all the first processing numbers to the respective devices. Therefore, the efficiency of processing of the system can be further improved.

  (3) When there are processes with the same number of second processes, the first process number is preferentially given to the processes that are difficult to process by allocating the first process number to the apparatuses in order from the process with the smallest number of processing apparatuses. Can be assigned to the device. For this reason, it is possible to reliably distribute all the first processing numbers to the respective devices. Therefore, the efficiency of processing of the system can be further improved.

  (4) By distributing the excess distribution number evenly to other processing devices, it is possible to reliably distribute all of the first processing number to each device. Therefore, the efficiency of processing of the system can be further improved.

  (5) In each apparatus, the surplus apparatus capacity value is proportionally distributed for each process in accordance with the number of distributions of each process, so that the process capacity value for each process in each process can be leveled. Therefore, the efficiency of processing of the system can be further improved.

  (6) By allocating the surplus apparatus capability value for each process according to the number of allocation of each process in the apparatus of 1 by using the apparatus margin value, the processing capacity value for each process of each process Can be easily leveled. Therefore, the efficiency of processing of the system can be further improved.

  (7) By comparing the processing capability value by process and the first processing number, the process margin can be evaluated for each process. Therefore, the efficiency of processing of the system can be further improved.

  (8) Using the process margin rate, it is possible to easily evaluate the degree of the process capability value for each process with respect to the first process number of each process. For this reason, it is possible to easily detect the bottleneck device. Therefore, by taking measures based on the process margin rate, it is possible to further improve the efficiency of processing of the system.

  Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. FIG. 3 is a block diagram showing a schematic configuration of the processing capacity calculation apparatus 10 according to the embodiment of the present invention. The processing capacity calculation device 10 is used in a system in which a plurality of predetermined processes are performed on a product by a plurality of devices.

  In this embodiment, a case where the processing capacity calculation device 10 is used in a semiconductor production line will be described. The production line corresponds to the system of the present invention. The production line is composed of a plurality of devices and performs a plurality of processes. Each of the plurality of apparatuses can set processing conditions for one or a plurality of steps, and can perform one or a plurality of steps. At least one apparatus is capable of performing a plurality of steps.

  The processing capacity calculation device 10 includes an input unit 11, a CPU 12, a storage unit 13, a first calculation unit 14, a first distribution unit 15, a device margin value calculation unit 16, a second distribution unit 17, and a second calculation unit. 18, a process margin calculation unit 19 and an output unit 20 are provided. The CPU 12, the storage unit 13, the first calculation unit 14, the first distribution unit 15, the device margin value calculation unit 16, the second distribution unit 17, the second calculation unit 18, and the process margin rate calculation unit 19 are Are included in the arithmetic unit of the present invention.

  The input unit 11 receives input of the first processing number of each of a plurality of processes, the relationship between each of the plurality of processes and one or a plurality of processing apparatuses of each process, and the apparatus capability values of each of the plurality of apparatuses. . Here, the first processing number represents the number of products to be processed within a predetermined period. The device capability value represents the number of products that can be processed to the maximum by each device within a predetermined period. A processing apparatus is an apparatus capable of performing a certain process.

  The first calculation unit 14 counts the number of processes performed on the production line, the number of apparatuses constituting the production line, and the number of apparatuses (processing apparatuses) that can be performed for each process. In addition, the first calculation unit 14 calculates a coefficient α for each process. The coefficient α corresponds to the number of products to be processed by one processing apparatus in the first processing number. In this embodiment, the coefficient α is calculated by dividing the first processing number by the number of processing devices. The coefficient α corresponds to the second processing number of the present invention. For example, the coefficient α is calculated by determining a coefficient for each processing device by weighting each processing device according to the importance of each processing device in the process, and taking an average value of the coefficients. May be.

  The storage unit 13 is input from the input unit 11, the first processing number of each of the plurality of processes, the relationship between each process and the processing device of each process, the respective device capability values of the plurality of devices, and The number of processes counted by the first calculator 14, the number of apparatuses, the number of processing apparatuses for each process, and the coefficient α calculated by the first calculator 14 are stored.

  The first distribution unit 15 is a process of allocating the first processing number to each of one or a plurality of processing devices in order from the larger coefficient α for each of the plurality of processes, and for each processing device after the distribution Processing is performed so that the cumulative number of distribution numbers is equal to or less than the device capacity value of the processing device. As a result, the first processing number is preferentially assigned to the apparatus from the step that is difficult to process. The relationship among each device, process, and number of distributions is stored in the storage unit 13. The cumulative number means the cumulative number of allocation numbers for all processes.

  In addition, when there are processes having the same number of coefficients α, the first distribution unit 15 distributes the first processing number to the processing apparatuses in order from the process having the smallest number of processing apparatuses. In addition, when the cumulative number of distribution numbers for each processing device after distribution exceeds the device capability value of the device, the first distribution unit 15 distributes the excess distribution number evenly to other processing devices. To do.

  The device margin value calculation unit 16 calculates the device margin value by dividing the device capability value by the cumulative number after the allocation of the first processing number of all processes to each device is completed. Here, the relationship of device margin value = device capacity value ÷ cumulative number is established. The relationship between the device margin value and each device is stored in the storage unit 13.

  The second distribution unit 17 first calculates a surplus device capability value. The surplus device capability value is obtained by subtracting the cumulative number from the device capability value for each device after the allocation of the first processing number of all processes to each device is completed. Next, the second distribution unit 17 proportionally distributes the surplus apparatus capability value for each process according to the number of allocation of each process in the apparatus for the apparatus whose surplus apparatus capability value is a positive number. Specifically, the second distribution unit 17 uses the device margin value stored in the storage unit 13 to set the product of the number of allocations for each process and the device margin value as the number of allocations for each step.

  The allocation number of each process allocated to each device and the relationship between the device and the process are stored in the storage unit 13.

  The second calculation unit 18 calculates a process capability value for each process by summing up the number of all devices distributed for each process. The relationship between the process capability value and each process is stored in the storage unit 13. The process capacity value by process is calculated by the following formula, for example.

  The process margin rate calculation unit 19 calculates the process margin rate for each process by dividing the process capability value by process by the first process count of the process. Here, the relationship of process margin rate = process capability value by process / first process number is established.

  The output unit 20 includes the first calculation unit 14, the first distribution unit 15, the apparatus margin value calculation unit 16, the second distribution unit 17, the second calculation unit 18, the process margin rate calculation unit 19, and the like. The distribution result is output to, for example, a liquid crystal display unit. Specifically, the output unit 20 outputs data such as a process executed in each device and the relationship between the number of processes and each device, a process margin rate, a device margin value, a process-specific processing capability value, and the like.

  Next, the operation of the processing capacity calculation device 10 will be described with a specific example. In addition, as shown in FIG. 4, it demonstrates as what has the following preconditions.

  The production line is provided with three devices, device # 1, device # 2, and device # 3. The processing capacity value (device capability value) per day for each device is device # 1 = 500 sheets / It is assumed that device # 2 = 500 sheets / day and device # 3 = 500 sheets / day.

  The production line consists of three processes, Process A, Process B, and Process C. The number of products to be processed per day in each process (first process number) is Process A = 450 sheets / Suppose that day, process B = 400 sheets / day, and process C = 400 sheets / day.

  Further, the process A can be performed by the apparatuses # 1, # 2, and # 3, the process B can be performed by the apparatuses # 1 and # 2, and the process C can be performed only by the apparatus # 1.

  FIG. 5 is a flowchart showing a part of a processing procedure performed by the processing capacity calculation apparatus 10. FIG. 6 is a diagram illustrating a calculation result of the process capability values calculated by the process capability calculation apparatus 10.

  As shown in FIG. 4, the CPU 12 inputs data such as the first processing number of each of a plurality of steps, the relationship between each step and a device (processing device) capable of performing the step, and the device capability value of each device. Is received from the input unit 11 and the input data is stored in the storage unit 13 (S1).

  The CPU 12 reads out the above-mentioned data stored in the storage unit 13 as necessary, and the first calculation unit 14 counts the number of processing devices for each process (S2). Here, the number of processing devices in process A is counted as 3, the number of processing devices in process B is counted as 2, and the number of processing devices in process C is counted as 1.

  Further, the first calculation unit 14 calculates the coefficient α by dividing the first processing number by the number of processing devices (S3). Here, the coefficient α of the process A is calculated as 150, the coefficient α of the process B is 200, and the coefficient α of the process C is calculated as 400.

  The first distribution unit 15 distributes the first processing number evenly to the processing devices in the process in order from the process having the largest coefficient α (S4). That is, the first distribution unit 15 distributes the coefficient α to each processing apparatus of the process in order from the process having the largest coefficient α. Here, when there is a process in which the value of the coefficient α is the same, the first distribution unit 15 sets the first distribution unit 15 with respect to the processing apparatus of the process in order from the process having the smallest number of processing apparatuses. Allocate the number of processes. Here, since the coefficient α of the process C is the largest, first, the first processing number of the process C is allocated.

  The first distribution unit 15 determines whether or not the cumulative number in each device exceeds the device capability value of each device (S5).

  When it is determined that the cumulative number in each device does not exceed the device capability value of the device, the first distribution unit 15 distributes all of the first processing number for the coefficient α to the device (S6).

  Here, the processing apparatus of the process C is only the apparatus # 1, and the coefficient α of the process C is 400 sheets with respect to the apparatus capability value of 500 sheets of the apparatus # 1, so that all the 400 first processing numbers of the process C are the apparatus. # 1 is allocated.

  The 1st distribution part 15 calculates the surplus apparatus capability value for every apparatus by subtracting the cumulative number in each apparatus from the apparatus capability value of each apparatus (S7). At this time, the surplus apparatus capability value of apparatus # 1 is 100 sheets.

  The first distribution unit 15 determines whether or not all the first processing numbers have been distributed to any device for all the processes (S8), and if there is a first processing number that has not yet been distributed, the process proceeds to S4. Return to the process. Here, it returns to the process of S4, and distribution of the 1st process number of the process B is performed next (S4).

  The processing devices of the process B are the device # 1 and the device # 2, and if possible, it is desired to distribute the coefficient α of the process B by 200 (sheets) to the device # 1 and the device # 2.

  The first distribution unit 15 has the coefficient α of the process B of 200 sheets, whereas the surplus apparatus capability value of the apparatus # 1 is 100 sheets. Therefore, 100 sheets out of the 200 sheets of the process B are the apparatus #. The surplus device capability value of 1 is exceeded (S5).

  First, the first distribution unit 15 distributes only the allocable portion of the coefficient α to the device (S9). Here, the 1st distribution part 15 distributes only 100 sheets among 200 sheets of the process B to apparatus # 1.

  The first distribution unit 15 distributes the excess first processing number evenly to other processing devices (S10). Here, the first distribution unit 15 distributes the excess 100 sheets to devices that can perform the process B other than the device # 1, that is, the device # 2 here. Therefore, 200 + 100 = 300 (sheets) is allocated to the apparatus # 2 as the allocation number of the process B.

  At this time, the surplus device capability value of the device # 1 is calculated as 0, and the surplus device capability value of the device # 2 is calculated as 200 sheets (S7).

  As a result of determining whether or not all of the first processing numbers have been distributed to any device for all processes (S8), the first distribution unit 15 still has the first processing number to be distributed here. Therefore, the process returns to S4, and the first processing number of the process A is distributed (S4).

  The process A can be performed in any of the apparatuses # 1, # 2, and # 3. However, since the surplus apparatus capability value of the apparatus # 1 is 0, the first distribution unit 15 first performs the process A. The coefficient α = 150 sheets is distributed to the apparatus # 2 and the apparatus # 3 (S4). At this time, the cumulative number of apparatus # 2 is 450 sheets, and the surplus apparatus capability value of apparatus # 2 is 50 sheets.

  Next, the first distribution unit 15 wants to equally distribute 150 sheets that should have been distributed to the apparatus # 1 to the apparatus # 2 and the apparatus # 3, but first 150 sheets to the apparatus # 2. Is allocated, the surplus apparatus capability value of apparatus # 2 is 50 sheets. Therefore, the first distribution unit 15 distributes 50 sheets to the device # 2 (S9), and distributes 100 sheets to the device # 3 (S10). As a result, in process A, 200 sheets are allocated to apparatus # 2, and 250 sheets are allocated to apparatus # 3.

  The processes of S4 to S10 are repeated until the distribution of all the first processing numbers in all processes is completed.

  Note that the first distribution unit 15 recalculates the cumulative number of distribution numbers and the surplus device capability value for the devices that have been allocated each time the first processing number of each process is distributed to each device.

  At this time, the cumulative number of device # 1 is 500, the cumulative number of device # 2 is 500, the cumulative number of device # 3 is 250, the surplus device capacity value of device # 1 is 0, and the device # 2 The surplus device capability value is calculated as 0, and the surplus device capability value of device # 3 is calculated as 250 sheets.

  Next, the device margin value calculation unit 16 calculates the device margin value of each device (S11). The device margin value is calculated by dividing the device capability value by the cumulative number in the device. Here, the device margin value of device # 1 is 500/500 = 1.0, the device margin value of device # 2 is 500/500 = 1.0, and the device margin value of device # 3 is 500/250 = 2.0. Is calculated.

  Next, the second distribution unit 17 sets the product of the number of processes allocated to each device and the device margin value as the number of processes allocated (S12). Here, since the device margin values of the device # 1 and the device # 2 are 1.0, the device # 1 and the device # 2 are not distributed by the second distribution unit 17. Therefore, the process B and the process C are not distributed by the second distribution unit 17. On the other hand, since the apparatus margin value of apparatus # 3 is 2.0, 500 multiplication values of the allocation number of process A allocated to apparatus # 3 and the apparatus margin value 2.0 of apparatus # 3 are 500. The second distribution unit 17 determines the number of processes A allocated in the apparatus # 3.

  Further, for example, the apparatus capacity value of apparatus # 3 is 500 sheets, and apparatus # 3 can execute process A and process B. The distribution number of process A in apparatus # 3 is 300 sheets, and the distribution of process B Assume that the number is 100. In this case, the cumulative number of distributions is 400, and the device margin value is 500/400 = 1.25. Accordingly, the number of processes A distributed by the second distribution unit is 300 × 1.25 = 375 (sheets), and the number of processes B allocated is 100 × 1.25 = 125 (sheets).

  Next, the 2nd calculation part 18 calculates the process capability value according to process (S13). The processing capacity value for each process is calculated by summing the number of allocations allocated to each of the devices # 1 to # 3 for each process. Here, the process capability value of process A is calculated as 200 + 250 × 2.0 = 700 (sheets / day). The processing capability value for each process in the process B is calculated as 100 + 300 = 400 (sheets / day). The processing capacity value by process of process C is calculated as 400 (sheets / day).

  Further, the process margin ratio calculation unit 19 calculates the process margin ratio for each process by dividing the process capability value by the first process number (S14). Here, the process margin ratio of the process A is calculated as 700/450 = 1.56, the process margin ratio of the process B is calculated as 1.00, and the process margin ratio of the process C is calculated as 1.00.

  The output unit 20 outputs a process performed in each apparatus, the number of processes allocated, the processing capability value for each process, an apparatus margin value, and a process margin ratio.

  According to the processing capacity calculation device 10, the first processing number of each process is distributed to each device based on the second processing number calculated by associating the first processing number with the number of processing devices, so that the processing is difficult. The first processing number can be distributed to each device preferentially from the process. For this reason, since the first processing number can be distributed to each device by means of reflecting the processing operation performed at the actual production site, all of the first processing number should be surely distributed to each device. Can do. Therefore, the processing efficiency of the production line can be improved.

  Since the processing capacity calculation device 10 performs a calculation reflecting the processing operation performed at the actual production site, it is possible to eliminate the process of insufficient capacity and to further improve the processing efficiency of the production line. be able to.

  In addition, using the process margin rate, it is possible to easily evaluate the degree of the processing capability value for each process with respect to the first processing number for each process. For this reason, it is possible to easily detect the bottleneck device. Therefore, by taking measures based on the process margin rate, it is possible to further improve the efficiency of processing of the production line, and to improve the number of production lines.

  Furthermore, based on the process margin ratio, the process capability values can be redistributed so that the process margin ratio is leveled between the processes. In addition, when adding a new process, the load between devices is compared based on the device margin value, and a device with a high device margin value is selected. The decision criteria can be shown.

  From the above results, when it is evaluated that there is no margin in the process capability values of the processes B and C based on the process margin rate, the process B and the process C are newly added to the apparatus # 3 having a large apparatus margin value. The production number can be further improved by setting the processing conditions.

  The processing capacity calculation device 10 is not only used for calculating the current capacity of the production line, but also by inputting information such as a process for which processing conditions are to be newly set and apparatus capacity values, It becomes possible to simulate the processing capacity value of the production line after setting. Thus, it can be utilized as a support tool for deriving a more efficient method of setting processing conditions within the limited resource range.

  As described above, the processing capacity calculation apparatus 10 calculates the process margin rate for evaluating the capacity for each process and the apparatus margin value for evaluating the load of the apparatus in addition to the calculation of the processing capacity value for each process. Using these, by setting the processing conditions of a process with a small process margin ratio to an apparatus with a high apparatus margin value, the process margin ratio can be leveled efficiently. According to the processing capacity calculation device 10, when setting the processing conditions of a process, it is possible to make a decision such as which apparatus should be set a new process and to prioritize the process. it can.

  Finally, the description of the above-described embodiment is to be considered in all respects as illustrative and not restrictive. The scope of the present invention is shown not by the above embodiments but by the claims. Furthermore, the scope of the present invention is intended to include all modifications within the meaning and scope equivalent to the scope of the claims.

It is a figure which shows the calculation result of the processing capability value according to process calculated by the process number equal distribution method which is a prior art. It is a figure which shows the calculation result of the processing capability value according to process calculated by the processing condition number equal distribution method which is a prior art. It is a block diagram which shows the schematic structure of the processing capacity calculation apparatus which concerns on embodiment of this invention. It is a figure which shows the precondition etc. of a process. It is a flowchart which shows a part of processing procedure by the processing capacity calculation apparatus which concerns on the above-mentioned embodiment. It is a figure which shows the calculation result of the processing capability value classified by process calculated by the processing capability calculation apparatus which concerns on the above-mentioned embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Processing capacity calculation apparatus 11 Input part 12 CPU
DESCRIPTION OF SYMBOLS 13 Memory | storage part 14 1st calculation part 15 1st distribution part 16 Apparatus margin value calculation part 17 2nd distribution part 18 2nd calculation part 19 Process margin rate calculation part 20 Output part

Claims (8)

A processing capacity calculation device used in a system that performs processing of a plurality of predetermined steps for a product by a plurality of devices,
A first processing number that is the number of products to be processed within a predetermined period of each of the plurality of steps, a relationship between each of the steps and one or more processing apparatuses capable of performing each step, and the predetermined An input unit that receives an input of an apparatus capability value that is the number of products that can be processed to the maximum by each apparatus within a period;
For each of the plurality of processes, a process of calculating a second process number, which is the number of products to be processed by one processing apparatus out of the first process number, and a process in which the second process number is larger in order from 1 Alternatively, a process of allocating the first processing number to each of a plurality of processing devices and allocating the cumulative number of allocation numbers for each processing device after the allocation to be equal to or less than the device capability value of the processing device. An arithmetic unit for performing
An output unit that outputs an allocation result in the calculation unit.   The processing capacity calculation apparatus according to claim 1, wherein the second processing number is a number obtained by dividing the first processing number by the number of the processing devices.   The said calculating part distributes the said 1st process number with respect to the said process apparatus in an order from the process with few numbers of the said process apparatus about the several process with the said same 2nd process number. The processing capacity calculation apparatus according to 1 or 2.   When the cumulative number of allocation numbers for each processing device after the allocation exceeds the device capability value of the processing device, the arithmetic unit distributes the excess allocation number evenly to other processing devices. The processing capacity calculation device according to any one of claims 1 to 3.   After the allocation of the first processing number to each of the devices is completed for all of the plurality of steps, the arithmetic unit determines that a surplus device capability value obtained by subtracting the cumulative number from the device capability value is positive. 5. The process according to claim 1, wherein the surplus apparatus capability value is proportionally distributed for each process according to a distribution number of each process in the apparatus. Ability calculation device. The calculation unit further calculates a device margin value obtained by dividing the device capability value by the cumulative number after the allocation of the first processing number to the devices is completed for all of the plurality of steps. Calculate
6. The processing capacity calculation apparatus according to claim 5, wherein a multiplication value of the distribution number of each process and the device margin value is set as the distribution number of each process. The calculation unit further calculates, for each of the processes, a process-specific processing capacity value that is a sum of the distribution numbers for each process,
The processing capacity calculation apparatus according to claim 5, wherein the output unit further outputs the processing capacity value for each process. The calculation unit further calculates a process margin rate obtained by dividing the process capability value for each process by the first process number,
The processing capacity calculation apparatus according to claim 7, wherein the output unit further outputs the process margin rate.

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