JPH02185351A - Preparing device for manufacturing plan - Google Patents

Abstract

PURPOSE:To assist the re-planning work of an operator and to improve working efficiency, by showing the strategies of the starting order to be correctly partially, equipment installation, dispatching rule, etc., to operator for the prepared manufacture plan. CONSTITUTION:A plan preparing means 1 refers a production plan 10 and basic information 11, deciding the input order by rearranging the order of the production plan 10 according to an input order deciding rule 6 so that the production efficiency may be improved, performing the simulation of the whole process by developing this input order along the time base and outputting a manufacture plan 12. An estimate means 2 refers the basic information 11, outputting an estimation result 13 by applying an estimation rule 7 for the manufacture plan 12. An analysis means 3 refers the basic information 11 and manufacture plan 12, calculating on the item regarded as the cause not reaching to a target value by applying the analysis rule 8 and outputting an analysis result 14. An improving plan preparing means 4 refers the basic information and displays by deciding the candidacy of the strategy to be considered in case of re-planning by applying a decision rule 9.

Description

[Detailed Description of the Invention] [Industrial Application Field] The present invention is a manufacturing planning device, particularly in high-mix low-volume production, that automatically determines the order of job input according to a production plan for high-mix jobs given by a host system. This invention relates to a manufacturing plan creation device for creating.

[Conventional technology]

Conventional manufacturing planning devices express field operation management know-how regarding job submission order and equipment allocation specific to the target production system as rules, and perform simulations while applying the rules to the input production plan. and output the manufacturing plan.

[Problem to be solved by the invention]

The above-mentioned conventional manufacturing planning device is not suitable for high-mix, low-volume production where the number of jobs input per product per product ratio in the production plan, the number of usable equipment in process information, etc. change. , it is difficult to anticipate all of these diverse situations in advance and register rules that cover all situations in advance, and it is difficult to create a manufacturing plan that satisfies all evaluation items in a single operation. It is difficult to create a manufacturing plan, therefore, it is necessary to look at the manufacturing plan once created, change some parts such as start order and process control through trial and error based on the operator's experience, and then replan. Furthermore, even if rules that have not been completely debugged are registered, there is a problem in that it is difficult to obtain guidelines on how to improve the rules.

[Means to solve the problem]

The manufacturing planning device of the present invention includes basic information including product information, process information, production in progress information, and dispatching rules, a job production plan, and an input order including start order determination rules, equipment allocation determination rules, and dispatching determination rules. a planning means for determining the start order of jobs in a specific process in a target production system based on a decision rule and outputting a manufacturing plan for all processes by simulating all processes developed along a time axis; an evaluation means that refers to the detailed report and applies an evaluation rule to output an evaluation result for the manufacturing plan; an analysis means that outputs analysis results regarding jobs and processes that are the cause of evaluation items that have not reached preset target values; The start order, equipment allocation, and dispatching adopted by the planning means to improve the evaluation results of evaluation items that did not reach the target value and to keep the deterioration of the evaluation results of other evaluation items within a preset range. and a history recording means for recording a history of rules applied in the plan creation means, the analysis means, and the improvement proposal creation means.

〔Example〕

Next, the present invention will be explained in detail with reference to the drawings.

FIG. 1 is a block diagram showing one embodiment of the present invention. Before starting to create a manufacturing plan, basic information 11 including product information, process information, production in progress information, and dispatching rules regarding the target production system is registered in advance. Further, the input order determination rule 6, the evaluation rule 7, the analysis rule 8, and the judgment rule 9 are rules that organize scheduling know-how suitable for the operation of the target production system, and are registered in advance. The production plan 10 is given by the host system and registered in advance.

Here, among the three types of rules included in input order determination rule 6, the rule regarding determination of start order is the one that takes into account the overall process load, the number of input products, and the load status of the entire process. This rule determines input strategies such as maximizing the utilization rate of processes that will become a problem, and determines the order in which jobs should be started for processes of interest such as processes that become bottlenecks. Furthermore, the rules regarding determination of equipment allocation are rules for determining the allocation of job types that can be processed to each piece of equipment in the production system based on the number of types to be produced, the quantity ratio of each type, and the like. Furthermore, the rules related to determining dispatching rules are rules for determining dispatching regarding jobs held in the facility 1 operator, jig, and inter-process buffer within the production system.

In addition, among the four types of data included in basic information 11, product information includes information such as the number of processes and process steps required to produce each product type, and the processing time and changeover time for each process. has been done. In addition, the process information includes the number of equipment that can be used in each process, the equipment name, the operating time of each equipment, and the equipment capacity.

Information such as the name of the product that can be processed is described.

The production in-process information includes information such as lot names in progress and process names in progress within the production system.

Further, the dispatching rule describes information regarding the dispatching strategy regarding jobs that are stuck in the inter-process buffer within the production system.

The planning means 1 refers to the production plan 10 and the basic information 11, rearranges the order of the production plan 10 in accordance with the input order determination rule 6 so as to improve production efficiency, determines the input order, and determines the input order based on the time. Simulate all processes within the production system by deploying along the axis and create a manufacturing plan 12
Output.

The evaluation means 2 refers to the basic information 11, applies the evaluation rule 7 to the output manufacturing plan 12, evaluates the evaluation items, and outputs the evaluation result 13.

Then, the analysis means 3 refers to the manufacturing plan 12 of the basic information 11 and applies the analysis rule 8. If there is an evaluation item in the evaluation results 13 that did not reach a preset target value, the job was evaluated using that evaluation item.

Calculations are made for items that are considered to be the causes of failure to reach target values for processes, etc., and the calculation results are output as analysis results 14.

Further, the improvement plan generation means 4 refers to the basic information 11, applies the judgment rule 9, and determines strategy candidates to be considered when re-planning with the plan generation means 1 based on the analysis result 14,
Display the results.

Further, the history recording means 5 records the history of the input order determining rule 6, the analysis rule 8, and the judgment rule 9 applied by the planning means 1, the analysis means 3, and the improvement plan creation means 4, respectively.

FIG. 2 is an explanatory diagram showing an example of evaluation rule 7. The evaluation rule REI is such that when the input strategy S1 is selected by the planning means 1 to reduce the number of setup changes in the maximum load process, which has the highest load among all processes, and to ensure the delivery date of the job, It is shown that two evaluation items, the number of setup changes in the maximum load process and the number of late-delivery jobs, are calculated, and these two evaluation values are evaluated with a weight of 7=3. FIG. 3 is an explanatory diagram of the evaluation result 13, in which the evaluation score, the number of setup changes, and the number of late-delivery jobs are calculated and described.

FIG. 4 is an explanatory diagram showing an example of analysis rule 8. The condition part of the analysis rule 8 describes the target value set for the evaluation item described in the evaluation result 13. In the rules RAI and RA2, the goal for the evaluation item of the number of late-delivery jobs is that there is no number of late-delivery jobs in the manufacturing plan 12, and the conclusion part is executed when there is one or more late-delivery jobs. The conclusion section describes a method for calculating items that are assumed to be related to the reasons why the goals for the evaluation items were not achieved. Rule R
With AI, if the waiting time in a process is long, it is assumed that there is a problem there, and it extracts the process with the longest waiting time among all the processes in which late-delivery jobs are processed, and processes the process in that process. Calculate the waiting time for all jobs. Rule R
In A2, it is assumed that there is a problem with the input time in the first process, and a margin for the delivery date at the time of input in the first process of the delayed delivery job is calculated. As described above, the analysis results 14 include analysis items and analysis values such as waiting time and lead time margin.

FIG. 5 is an explanatory diagram showing an example of the judgment rule 9. In the condition part of the 0 judgment rule 9, it is checked whether each condition item is satisfied while referring to the analysis result 14. Rule RJI
Now, let us assume that the job with a late delivery date is job A2.The waiting time in process B2, which has the longest waiting time among all processes in which job A2 is processed, is significantly longer than other jobs, and the waiting time in process B2 is significantly longer than other jobs. Confirm that there is an alternative equipment 02 that can process job A2, that job A2 is not currently assigned to alternative equipment 02, and that alternative equipment C2 is not in use during the time period when job A2 arrives at process B2. . If all of the conditional parts are satisfied, the conclusion part of Rule RJI will determine the equipment allocation strategy in order to improve the evaluation value by reducing the number of late-delivery jobs, which is an evaluation item that did not reach the target value. We propose to change the department and adopt a new strategy of allocating job A2 to alternative equipment C2 in process B2. Furthermore, rule RJ2 presents a proposal for improving the dispatching rule in a certain process.

In addition, in the condition part of judgment rule 9, if the improvement plan for the evaluation item described in the conclusion part is likely to deteriorate the evaluation value of other evaluation items, the evaluation value that is likely to deteriorate is included. The range within which an item can be influenced is described. For example, in rule RJ2, process B3
If job A3 interrupts in the process of
Jobs processed after 3 will be delayed, but the condition for adopting the dispatching rule in the conclusion part is that the lost time is 10 minutes or less.

The operator re-plans while referring to these proposed strategies. For example, a simulation is performed by partially changing the equipment allocation, dispatching rules, and input order for the intermediate results of the processing in the planning means 1,
Recreate manufacturing plan 12. Alternatively, the history recording means 5
Referring to the history of the input order determination rule 6, analysis rule 8, and judgment rule 9 applied in the planning means 1, analysis means 3, and improvement plan creation means 4 recorded in , the start order determination rule and equipment allocation are determined. The input order determination rule 6 including the determination rule and the dispatching determination rule is changed and replanned.

〔Effect of the invention〕

The manufacturing planning device of the present invention supports the replanning work of the operator by presenting strategies such as starting order, equipment allocation, dispatching rules, etc. that should be partially revised to the operator for the created manufacturing plan. This has the effect of significantly improving the work efficiency. Further, by referring to the history of the inference progress in the planning means, analysis means, and improvement plan creation means, there is an advantage that guidelines for improving rules can be obtained.

[Brief explanation of the drawing]

Fig. 1 is a block diagram showing an embodiment of the present invention, Fig. 2 is an explanatory drawing showing an example of an evaluation rule, Fig. 3 is an explanatory drawing showing an evaluation result, and Fig. 4 is an explanatory drawing showing an example of an analysis rule. , FIG. 5 is an explanatory diagram showing an example of the determination rule. 1... Plan creation means, 2... Evaluation means, 3... Analysis means, 4... Improvement plan creation means, 5... History recording means, 6... Input order determination rule, 7. ...Evaluation rule, 8...Analysis rule, 9...Judgment rule, 10...
- Production plan, 11...Basic information, 12...Manufacturing plan, 13...Evaluation results, 14...Analysis results.

Claims (1)

[Claims] Target production system based on basic information including product information, process information, production in-process information, and dispatching rules, and job production plans and input order determination rules including start order determination rules, equipment allocation determination rules, and dispatching determination rules. a planning means that determines the start order of jobs in specific processes within the process and outputs a manufacturing plan for all processes by simulating all processes developed along the time axis, and applies evaluation rules with reference to the basic information. an evaluation means that outputs an evaluation result for the manufacturing plan based on the evaluation results; an analysis means that outputs analysis results regarding jobs and processes that are the cause of evaluation items; and evaluation of evaluation items that did not reach the target value by referring to the basic information and the analysis results and applying judgment rules. A strategy for partially changing the start order, equipment allocation, and dispatching adopted by the planning means is sought and displayed in order to improve the results and keep the deterioration of the evaluation results of other evaluation items within a preset range. A manufacturing plan creation device comprising: an improvement plan creation device; and a history recording device that records a history of rules applied in the plan creation device, the analysis device, and the improvement plan creation device.