JP2006031360A - Production line plan support device, and its method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a production line design support device for optimizing production ability and capital investment expenditure in designing a production line. <P>SOLUTION: The device comprises a production simulation part 11 for simulating a production line operation, based on production line plan information; and a measures analyzing part 12 for selecting at least one facility with the production ability and/or investment expenditure to be required in order to allow a simulation result to be close to target production ability and target investment expenditure from a measures information storage part 15, and outputting it to the production simulation part. A simulation is re-performed with the facility which is selected by the measures analyzing part 12, so that the facility with the optimum production ability and investment expenditure is automatically selected with respect to the plan of the production line. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a production line plan support apparatus and a production line plan support method.

  When planning a production line, the layout and process balance of the line are studied by simulating the movement of each work and the work equipment in the official residence.

The conventional production line design support method using such a simulation is a method of automatically feeding back and optimizing the production capacity required by the designer to the line layout based on the result of the simulation. (Refer to Patent Document 1), a method of performing a simulation paying attention to the production cost (refer to Patent Document 2), a method of finding problems on the equipment of the line itself and feeding it back (refer to Patent Document 3).
JP 2003-44115 A JP-A-11-85852 JP 2003-280730 A

  However, in the conventional production line design support method, whether the production capacity is commensurate with the cost such as the equipment cost, or conversely, whether the equipment is excessive with respect to the production capacity. There was a problem that the evaluation was not satisfactory.

  Accordingly, an object of the present invention is to provide a production line design support apparatus and a production line plan support method capable of optimizing the capital investment cost for the production capacity when designing a production line.

  In order to achieve the above object, the present invention provides information on the production capacity of each facility in a plurality of facilities provided in a designed production line and information on the investment cost necessary for installing each facility, Simulation means for simulating the operation of the production line based on the information of the operation history to obtain the production capacity and investment cost of the entire production line, the production capacity of the equipment that may be used in the production line, and A storage means that associates and stores an investment cost for installation of equipment, and a production capacity and an investment cost of the production line that are obtained in advance by the simulation are determined in advance. At least the production capacity and / or investment costs required to be close A production capacity measure means for outputting to said simulation means One of the facilities to choose from in the storage unit, a production line planning support apparatus characterized by having a.

  Further, the present invention for achieving the above object is based on information on the production capacity and investment cost of each facility in a plurality of facilities provided in the designed production line, and on the operation history information on the same type of facility as the above-mentioned facility. A simulation stage for simulating the operation of the production line to obtain the production capacity and investment cost of the entire production line, and the production line and the production cost of the production line obtained by the simulation are determined in advance. Selecting at least one piece of equipment that provides the necessary production capacity and / or investment cost to be close to the target production capacity and target investment cost, and selecting the equipment on the production line in the simulation stage. Change to the installed equipment and run the simulation again. A production line planning support method characterized by comprising the steps of, a.

  According to the production line planning support apparatus of the present invention, the production line operation is simulated by the simulation means, and the production capacity countermeasure means performs the production necessary for the simulation result to be close to the target production capacity and the target investment cost. Since at least one piece of equipment that has capacity and / or investment cost is selected from the storage means and output to the simulation means, the equipment with the optimum production capacity and investment cost is automatically selected for the production line plan. Will be selected.

  According to the production line planning support method according to the present invention, at least the production capacity and / or the investment cost required to simulate the operation of the production line and make the result close to the target production capacity and the target investment cost. After selecting one piece of equipment, changing the production line configuration to that piece of equipment and then simulating again, the equipment with the best production capacity and investment cost is automatically selected for the production line plan. Will come to be.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram for explaining a production line design support apparatus according to an embodiment to which the present invention is applied.

  The production line design support apparatus 1 is roughly divided into a production simulation unit 11 that executes simulation from various information planned as a production line, a countermeasure means analysis unit 12 that analyzes a simulation result, and outputs a countermeasure plan. , A storage unit (plan information storage unit 13, maintenance information storage unit 14, countermeasure information storage unit 15, equipment price base unit storage unit 16) storing various data necessary for simulation and result analysis, and judging the end of the simulation And a simulation result determination unit 17 for performing the above.

  The production line design support apparatus 1 is connected to an input device such as a keyboard and a mouse (not shown) and an output device such as a display and a printer. Further, it is substantially a computer and operates by executing a program for realizing the functions described later. In addition, each unit may function by processing in one computer, or the function of each unit may be implemented by connecting different computers via a network.

  Hereinafter, functions of the production line design support apparatus 1 will be described in detail.

  The production simulation unit 11 is a simulation means, and information on the production capacity of each facility in a plurality of facilities provided in the designed production line and information on the investment cost necessary for installing each facility, Based on the information of the operation history, the operation of the production line is simulated to determine the production capacity and investment cost of the entire production line.

  The production simulation unit 11 includes a simulation condition change unit 21 that changes a simulation condition, and a production simulation execution unit 22 that executes a simulation in accordance with the simulation information set by the plan information and the simulation condition change unit 21.

  The simulation condition changing unit 21 changes the simulation condition in accordance with the countermeasure plan from the countermeasure means analyzing unit 12. The simulation condition changing unit 21 may allow the user to arbitrarily set and change the simulation conditions for the production line.

  The production simulation execution unit 22 models the production line from the plan information in the plan information storage unit 13 and the simulation conditions changed by the simulation condition change unit 21, and is maintenance information in the track maintenance information storage unit 14. Based on the operation history information of each equipment and the same kind of equipment, the production from production start (raw material input etc.) to shipment is simulated.

  Here, the plan information includes information on the production capacity and investment cost of each facility in a plurality of facilities provided in the designed production line. Further, as will be described later, the simulation conditions include information on the production capacity and investment cost of the equipment after the change provided as parameters of the measure plan from the measure means analysis unit 12. Therefore, the production simulation execution unit 22 performs the production simulation by modeling the production line according to the parameter changed by the instruction from the simulation condition changing unit 21.

  In the production simulation performed here, at least the production capacity of the entire production line, the production capacity of each process, the investment cost of the entire production line, and the investment cost of each process are output as the simulation results of items necessary for countermeasure analysis described later. Is done. More specifically, for example, the entire production line and the transfer capability between processes (if there is a transfer machine, the transfer capability of each transfer machine), the operation rate in each process, the self-responsibility rate in each process (due to the own process) Stop rate), other responsibility rate in each process (rate stopped due to other process stop), full work / work waiting time of each process, production rate of each process (number of passes per process per unit time), etc. From these, the production stress of the entire production line and the production capacity for each process are calculated. On the other hand, the investment cost includes the capital investment cost of the entire production line model subjected to the simulation, the capital investment cost of each process, the capital investment cost of the inter-process transfer device, and the like.

  When the production line model is created, after the modeling by the production simulation execution unit 22 is completed, the process is temporarily stopped and arbitrary changes by the designer (planning department) are possible.

  For such production simulation, existing production simulator software may be used, for example, Witness (manufactured by CRC Solutions Co., Ltd.).

  The end of the production simulation by the production simulation execution unit 22 is performed by the simulation result determination unit 17 which is a determination unit. The determination of the end of the production simulation is whether the target has been reached under the set simulation conditions and / or whether the production simulation has been executed a predetermined number of times. Here, the production target is a target production capacity and target investment cost of the production line determined in advance by the planning department. When a simulation result that reaches this production target is obtained, the simulation is terminated at that time. The predetermined number of times is the number of production simulations that are performed after the production condition is changed according to a countermeasure proposed later. This is to end the process when the simulation is executed any predetermined number of times in preparation for the case where the production target is not reached even if the change according to the countermeasure plan described later and the simulation reflecting the change are repeatedly executed. It is provided. Therefore, such a predetermined number of times may not be set by setting a production target that must be reached. For example, the production target value that must be achieved can be set to a value that can always occur from experience so far, or a large production target value that ensures that the simulation results fall within the range. And so on.

  When the simulation result determination unit 17 determines that the simulation is completed, the simulation result determination unit 17 outputs the result of the production simulation performed so far as the execution result report 53. On the other hand, when the production simulation does not satisfy the end condition, the result of the production simulation for which the end determination has been made is transmitted to the countermeasure means analysis unit 12. The results of the production simulation are stored in the storage means (storage means (not shown) provided in a normal computer) provided in the production simulation unit 11 or the simulation result determination unit 17 for each production simulation. Stored at each end.

  The countermeasure means analysis unit 12 is a production capacity countermeasure means, and makes the production capacity and the investment cost of the production line obtained by the simulation close to the predetermined target production capacity and the target investment cost of the production line. At least one piece of equipment necessary for this is selected from the storage means, and the result is output to the production simulation unit 11. The countermeasure means analyzer 12 includes a bottleneck process analyzer 31 and a countermeasure item selector 32. The bottleneck process analysis unit 31 searches the process whose time is slowest on the production line from the result of the production simulation. The measure item selection unit 32 analyzes the problems of the production capacity and the investment cost of the production line, and outputs a measure plan corresponding to the analysis result.

  The outputted countermeasure plan is delivered again to the simulation condition changing unit 21 as a production simulation condition. The simulation condition changing unit 21 changes the simulation condition so as to be the content of the countermeasure plan, and passes the changed content to the simulation executing unit 22. In the simulation execution unit 22, the production line is modeled again using the equipment changed by this, and the production simulation is executed again.

  The plan information storage unit 13 receives production line plan information from the plan department 52 and stores it. The plan information is at least information on the production capacity and investment cost of each facility in a plurality of facilities provided in the designed production line. In addition, the length of the production line, the maximum line speed, the type of each processing machine, the number of processing machines, the specifications of each processing machine, the production capacity of each processing machine, the planned budget, the planned operating rate, and the material cost The shipping price is also kept aside.

  The maintenance information storage unit 14 stores information on the operation history of various facilities that may be used on the production line. The operation history information is, for example, information necessary for maintenance such as a past failure history (failure rate), the number of operations requiring maintenance, a required stop time, and the like.

  The countermeasure information storage unit 15 is a storage unit, and stores the production capacity of equipment that may be used in the production line and the investment cost for installation of the equipment in association with each other. Although details will be described later, the type of machine, its production capacity, and the investment cost are stored as table data associated in advance as a countermeasure plan.

  The equipment price basic unit storage unit 16 stores the purchase cost (equipment cost), the production capacity of the equipment, and the equipment costs between equipment that can perform the same process for various equipment that may be used on the production line. The difference, production capacity difference (up rate), etc. are stored.

  The plan information 51 input to the production line design support apparatus 1 is drafted by a planning department 52 outside the production line design support apparatus 1. The planning department 52 designs plan information 51 by designing a new production line and making design changes with reference to the execution result report 53, for example.

  The operation of this production line design support device will be described below.

  First, the analysis of the bottleneck process will be described. FIG. 2 is a flowchart showing the processing procedure of the bottleneck process, and FIG. 3 is an explanatory diagram for explaining the bottleneck process analysis.

  A production line is usually composed of a plurality of processes, and a workpiece being manufactured is conveyed between the processes. In this production line, there is a bottleneck process as one factor that affects the production capacity.

  The cause of the bottleneck process is broadly divided into an equipment capacity bottleneck caused by the production capacity of the equipment in the process and a transport capacity bottleneck generated due to waiting for a workpiece to be received in the process.

  In the analysis of the bottleneck process, the presence or absence of the equipment capacity bottleneck process and the presence or absence of the conveyance capacity bottleneck process are found.

  Hereinafter, the process in the bottleneck process analysis part 31 is demonstrated with reference to FIG.

  First, the variable N for counting the number of steps is cleared to 0 (S1). The number of processes in the production line is from the first process to the nth process.

  Subsequently, the variable N is incremented (S2).

  Subsequently, the operation rate and the self-responsibility rate in the process N are added from the production simulation result, and the result is defined as a first result A1 (N) (S3). Similarly, from the production simulation result, the ratio of the workpiece waiting to the full workpiece (work waiting / full workpiece) in the process N is calculated, and the result is set as the second result A2 (N) (S4).

  Subsequently, it is determined whether or not the variable N has reached the final step n (S5).

  If the final process has not been reached, the process returns to step S2 to continue the transition process. On the other hand, if the final process n has been reached, the process having the largest first result A1 (N) is extracted and set as the equipment capacity bottleneck process (S6). Similarly, a process in which the second result A2 (N) is changed from less than 1 to 1 or more (that is, a process of waiting for a work <a process of waiting for a work from a full work ≧ a full work) is extracted, (S7).

  The last extracted both bottleneck processes are output to the measure item selection unit 32, and the process is terminated (S8).

  Fig. 3 shows the simulation results in the model production line. The actual operation rate, self-responsibility rate, full work rate (the ratio of full work to the full operation rate), and work waiting rate (work against the full operation rate). It is a graph which shows an example of the ratio which was waiting. In the figure, the operation rate of the entire production line is 100%.

  In the case of this example, since the process 20 has the highest value obtained by adding the actual operation rate and the self-responsibility rate by the above processing, this process 20 becomes the equipment capacity bottleneck process. This indicates that this process 20 is operating most of the total operation rate or has stopped due to its own process. For this reason, the margin of production capacity is small compared to other processes, and if a work exceeding the production capacity comes to this process, it will not be possible to produce any more and it will become a bottleneck, or it will stop due to high self-responsibility. It is a bottleneck process with no time.

  Similarly, in the process 40, the work waiting rate is larger than the full work rate between the process 40 and the process 50, and the ratio is reversed. Therefore, the process 40 becomes a conveyance capacity bottleneck process. This is because the work waiting is increased in the next process, step 50, although it is transported until it becomes a full work in process 40. is there.

  In addition, when an equipment capacity bottleneck process and a conveyance capability bottleneck process are the same process, you may make it ignore either one.

  Next, countermeasure item selection will be described. FIG. 4 is a flowchart showing the procedure of countermeasure item selection processing. Hereinafter, processing in the countermeasure item selection unit 32 will be described.

  First, based on the result of the production simulation, the operation rate of the entire production line is compared with the planned operation rate (S11). Here, if the operating rate exceeds the planned operating rate, the equipment cost of the production line is compared with the planned budget from the simulated production line model (S12), and the equipment cost exceeds the planned budget. If so, the countermeasure zone I (detailed later) is set (S13). On the other hand, if the equipment cost does not exceed the planned budget, it is determined as a countermeasure zone II (detailed later) (S14).

  In step S11, if the operating rate does not exceed the planned operating rate, the equipment cost of the production line is compared with the planned budget from the simulated production line model (S15), and the equipment cost exceeds the planned budget. If so, it is set as countermeasure zone III (details will be described later) (S16). On the other hand, if the equipment cost does not exceed the planned budget, it is determined as a countermeasure zone IV (details will be described later) (S17).

  After classifying each countermeasure zone, one optimal countermeasure plan is selected from the countermeasure list table (details will be described later) under the following conditions (S21). The selection of the countermeasure plan is the equipment countermeasure in the bottleneck process and the countermeasure by the countermeasure zone.

  Subsequently, the equipment cost fluctuation due to the countermeasure is calculated (S22), the simulation condition parameter obtained by the countermeasure proposal is output to the simulation condition changing unit 21 (S23), and the process is terminated.

  FIG. 5 is an explanatory diagram for explaining zoning of countermeasures. This figure is a matrix in which the vertical axis represents the line operating rate and the horizontal axis represents the facility cost, and four zones are divided into the countermeasure zones I to IV in order to be closest to the planned operating rate and the planned budget. Measures are finally taken to approach the target zone in this figure.

  Countermeasure zone I is an area that has line capacity but is over budget. When this zone is reached (in the case of step S13), the countermeasure is reduced within the range in which the planned operation rate can be maintained, and a countermeasure plan is set within the planned budget.

  Countermeasure zone II is an area where both line capacity and budget are available. When this zone is reached (in the case of step S14), the countermeasure is to cut the specifications within a range in which the planned operation rate can be maintained, and further reduce the investment for the budget.

  Countermeasure zone III is an area where the line capacity is insufficient but the budget is sufficient. When this zone is reached (in the case of step S16), the countermeasure is to add and improve specifications within the planned budget so that the planned operating rate can be achieved.

  The countermeasure zone IV is an area where the line capacity is insufficient and the budget is over. When this zone is reached (in the case of step S17), the countermeasure is to add and improve specifications within the planned budget, while reducing the budget by cutting equipment specifications that have the least impact on the planned operating rate. To do.

  Next, selection of a countermeasure plan will be described.

  FIG. 6 is a drawing showing an example of a machine type-countermeasure effective item comparison table (FIG. 6A) and an example of a countermeasure list table (FIG. 6B).

  As for the bottleneck process, first, the machines in the bottleneck process are searched from the machine type-countermeasure effective item comparison table. As a result, a specific part (machine specification, tool, buffer between processes, etc.) that specifies which countermeasure can be taken for each machine is specified from the countermeasure target machine types.

  Subsequently, a countermeasure plan having the identified countermeasure part is extracted from the countermeasure list table. At this point, a plurality of countermeasures are extracted. Then, one countermeasure plan in the countermeasure zone is selected from the extracted countermeasure plans. In the countermeasure list table, as shown in the figure, fluctuations due to the change are associated for each countermeasure plan (measures A to G in the figure), and the facility capacity is improved (or decreased) by the change due to this countermeasure. It is a production capacity, and an equipment cost is an equipment cost that increases (or decreases) due to a change due to this countermeasure. The difference in production capacity and the difference in equipment cost are stored in the equipment price basic unit storage unit 16.

  FIG. 7 is a diagram for determining a priority order for selecting one countermeasure plan in the countermeasure zone from the extracted countermeasure plans. This figure shows production capacity on the vertical axis and equipment costs on the horizontal axis.

  In the figure, countermeasure zones III and IV are arranged on the upper side and countermeasure zones I, II, and IV are arranged on the lower side with respect to a line in which the production capacity and the equipment cost are in direct proportion. Then, the countermeasure plan extracted from the above-described countermeasure list table is mapped to this figure, and the countermeasure plan farthest from the most directly proportional line is selected first for each countermeasure zone. In other words, in the case of the countermeasure zones I and IV, first, in the direction of the direct proportional line from the countermeasure A, similarly, in the case of the countermeasure zones II, III, and IV, the line direction of the direct proportion in the order from the countermeasure F. The countermeasure plan will be selected. Here, the countermeasure zone IV is both above and below the directly proportional line. As can be seen from the explanation of the countermeasure zone IV, this is a countermeasure for both increasing the operating rate and reducing the capital investment. This is because the countermeasures appear on both the upper and lower sides of the directly proportional line. In this case, in the present embodiment, the selection is made from the far side regardless of whether the line is directly proportional or not.

  The equipment that matches the one measure plan selected in this way is detected from the equipment price base unit storage unit 16, and this is passed to the simulation condition changing unit 21 as a parameter.

  The simulation condition changing unit changes the equipment in the production model that is modeled at that time according to the received parameters, passes this to the simulation execution unit, causes the production model to be created again, and executes the production simulation.

  Hereinafter, further specific examples will be described.

  First, in the planning department 52, production line plan information 51 is drafted. Here, the target production capacity is set at a line operation rate of 85% or more, with a production volume of 10,000 units / month, a preferable cycle time of 1 minute / unit when the production capacity is achieved, and an operation time of 12000 minutes / month, and planned as a target investment cost The budget was set at 120 million yen or less.

  FIG. 8 is a drawing showing a layout of a production line designed to satisfy the plan of the production line. This production line layout is designed by the planning department 52. As shown in the figure, the process consists of 6 steps from step 10 to 60, and the measuring machine is arranged in the processing machine and step 60 from step 10 to 50. Moreover, between each process, the conveying apparatus of conveyance 10-50 is arrange | positioned between each.

  As information on each machining process performed by this production line, machining information on the workpiece (for example, in the case of hole machining, size and addition of holes to be machined, cutting conditions for each hole, etc.), what is performed in each process The process list, the specific equipment provided in each process, information on the transfer device, etc. are combined into the plan information 51 together with the previous capital investment cost, line operation rate, plan budget, etc., and stored in the plan information storage unit 13. input.

  Thereafter, the processing is started by an instruction to start the system from the planning department 52. At this time, the number of simulation executions when the target number is not reached is designated.

  As a result of the production simulation, here, the monthly output was 9000 units, the line operation rate was 75%, and the capital investment cost was 95 million yen. Therefore, when this result is applied to the matrix of the line operation rate and the equipment cost shown in FIG. 5, it corresponds to the countermeasure zone III as shown in FIG. Stars in Fig. 9).

  Moreover, since the operation rate etc. for every process became the result shown in FIG. 3 already used for description of this embodiment, the process of the bottleneck process is the equipment capacity bottleneck process. Since the workpiece waiting rate is larger than the full workpiece rate between 50 and the ratio is reversed, the process 40 is a conveyance capacity bottleneck process.

  From these results, first, a countermeasure plan in the countermeasure zone III is selected for the process 20 which is the equipment capacity bottleneck process.

  In step 20, since there is a processing machine, a countermeasure part for a specific facility in step 20 is selected from the machine type-countermeasure effective item comparison table (see FIG. 6A), and a countermeasure list table ( A countermeasure plan is extracted from FIG.

  Here, the countermeasure plans extracted according to the countermeasure sites are countermeasures A to F, as shown in FIG. Then, since the countermeasure plan is performed from the countermeasure zone III, the countermeasure A plan is selected first. As shown in FIG. 6 (b), Measure A increases the production capacity by 9.5%, which requires a capital investment of 3 million yen. The countermeasure A is a tool change for increasing the production capacity. As the equipment for performing this countermeasure, the equipment stored in the equipment price basic unit storage unit 16 is used.

  Similarly, a countermeasure is selected for the process 40 (between 40 and 50), which is a carrying capacity bottleneck process. Since this is a countermeasure for the transport apparatus, countermeasure C is selected from FIGS. 6 (a) and 6 (b). Measure C will increase production capacity by 8.6% and increase equipment costs by 10 million yen.

  As a result of re-production simulation using these countermeasures, the monthly turnover was 9,600 units, the capital investment cost was 108 million yen, and the line utilization rate was 80%.

  From this result, since the target has not been reached, the same process is further repeated, and the production simulation is repeated until the final target value is reached or the predetermined number of times is completed. As a result, as shown in FIG. 10, the result of the production simulation (stars in FIG. 10) gradually approaches the target zone (that is, the target production capacity and the target investment cost).

  The result of the simulation performed in this manner is output as an execution result report 53 from the simulation result determination unit 17. For example, as shown in FIG. 11, the execution result report 53 includes, for each plan information and production simulation executed, the output, operation rate, countermeasure zone, equipment capacity bottleneck process (displayed as equipment neck), equipment neck Measures such as capital investment change amount (displayed as capital investment change), transfer capacity bottleneck process (displayed as transfer neck), investment change amount related to transfer neck (transfer investment change and display), and simulation results ing.

  The planning department 52 looks at this execution result report and performs specific design and review of the production line.

  As described above, according to this embodiment, the bottleneck process is detected from the result of the production simulation, and the production capacity and the investment cost of the production line are changed to the target production capacity and the target investment cost for this bottleneck process. To achieve the plan by selecting a countermeasure plan for changing nearby equipment from the countermeasure information storage unit, changing the simulation conditions according to the countermeasure plan, and repeatedly executing the simulation again It is possible to determine the optimal equipment configuration and production capacity, and the investment cost (cost) required for that purpose.

  In particular, the bottleneck process is detected by determining the bottleneck of the back equipment capacity from the operation rate and the self-responsibility rate in each process, and determining the bottleneck process of the transfer capacity from the full work and waiting for the work. The bottleneck related to the process and the bottleneck related to the transfer between processes can be obtained separately. By taking these measures, the process work is slow and the process work is slow. Problems with cooperation between processes such as slow conveyance are automatically improved.

  For the selection of countermeasures, a matrix consisting of the line operation rate and equipment costs was used, and a basic countermeasure policy was established based on which zone of the matrix the production simulation results were in. The individual countermeasure plan in the countermeasure list table is selected. Since a specific method for selecting countermeasures is specified in this way, countermeasures are automatically selected and determined from the simulation results, and are reflected as the next simulation condition to automatically produce production stress and investment costs. The optimal solution can be obtained.

It is a block diagram for demonstrating the function of the production line design support system (Hereinafter, it may only be called a system.) Of one Embodiment to which this invention is applied. It is a flowchart which shows the process sequence of a bottleneck process. It is explanatory drawing for demonstrating a bottleneck process analysis. It is a flowchart which shows the procedure of a countermeasure item selection process. It is explanatory drawing for demonstrating zone division of a countermeasure plan. It is drawing which shows an example (FIG.6 (a)) and example of a countermeasure list table (FIG.6 (b)) of a machine type-countermeasure effective item comparison table. It is a figure for deciding the priority for selecting one countermeasure plan suitable for the countermeasure zone from the extracted countermeasure plans. It is drawing which shows the layout of a production line. It is a drawing showing the result of production simulation applied to the matrix of line operation rate and equipment cost. It is a drawing showing the results of multiple production simulations applied to a matrix of line availability and equipment costs. It is drawing which shows an example of an implementation result report.

Explanation of symbols

1 ... Production line planning support device,
2 ... Countermeasure measures analysis section,
11 ... Production simulation department,
13 ... plan information storage part,
14 ... Maintenance information storage unit,
15 ... Countermeasure information storage unit,
16 ... Equipment price basic unit storage unit,
17 ... simulation result judgment part,
21 ... Simulation condition changing part,
22 ... Production simulation execution unit,
31 ... Bottleneck process analysis department,
32 ... Countermeasure item selection section,
51 ... plan information,
52 ... Planning department,
53 ... Implementation result report.

Claims (7)

The production line is based on the production capacity of each facility in a plurality of facilities provided in the designed production line, information on the investment cost necessary to install each facility, and information on the operation history of the same type of equipment as the equipment. Simulation means for simulating the operation of the production line to obtain the production capacity and investment cost of the entire production line,
Storage means for storing the production capacity of equipment that may be used in the production line and the investment cost for installation of the equipment in association with each other;
Production capacity and / or investment cost required to bring the production capacity and investment cost of the production line obtained by the simulation closer to the target production capacity and target investment cost of the production line determined in advance. Production capacity countermeasure means for selecting at least one piece of equipment from the storage means and outputting it to the simulation means;
A production line planning support apparatus characterized by comprising: The simulation means obtains a production capacity for each of a plurality of processes in the production line in the simulation,
The production capacity countermeasure means is the same kind of equipment as the equipment installed in the process with the lowest production capacity from the production capacity for each determined process, and the equipment in which the production capacity of the equipment is changed is stored in the storage means. 2. The production line planning support apparatus according to claim 1, wherein the production line planning support apparatus is selected from among them. As a result of the simulation, there is a judging means for judging whether or not the target production capacity and the target investment cost have been reached,
The production simulation means simulates the operation of the production line based on the information on the production capacity and the investment cost of the equipment output from the production capacity countermeasure means, and the result of the simulation is determined by the judgment means. The production line planning support apparatus according to claim 1, wherein the production line planning support apparatus is continued until it is determined that the target production capacity and the target investment cost have been reached.   The said equipment is the processing machine installed in each process which comprises the said production line, and the conveying apparatus installed between each said process, The Claim 1 characterized by the above-mentioned. Production line planning support device. Based on information on production capacity and investment cost of each equipment in a plurality of equipment provided in the designed production line and information on operation history in equipment of the same type as the equipment, the operation of the production line is simulated to produce the production A simulation phase to determine the production capacity and investment costs of the entire line;
Production capacity and / or investment cost necessary to bring the production capacity and investment cost of the production line obtained by the simulation closer to the target production capacity and target investment cost of the production line determined in advance. Selecting at least one piece of equipment comprising:
Changing equipment on the production line in the simulation stage to the selected equipment;
Re-running the simulation;
A production line planning support method characterized by comprising: In the simulation step, a production capacity is obtained for each of a plurality of processes in the production line,
The step of selecting the at least one facility is a facility of the same type as the facility installed in the process having the lowest production capacity from the production capacity for each of the obtained processes, and the facility in which the production capacity of the facility changes. 6. The production line planning support method according to claim 5, wherein the production line planning support method is selected.   After the simulation, there is a step of determining whether or not the obtained production capacity and investment cost of the entire production line have reached the target production capacity and the target investment cost, and the target production capacity and the target investment cost 7. The production line planning support method according to claim 5 or 6, wherein the step of selecting the at least one facility and the simulation step are repeated until reaching the above.

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