A Production Planning Decision-Making Method Considering Preventive Maintenance

Abstract

The invention discloses a production plan decision-making method considering preventive maintenance, and relates to the field of production plan decision-making. The method comprises the following steps: obtaining a production plan output function; and making a production plan decision according to the production plan output function. The production planning output function also takes into account preventive maintenance. Obtaining the production planning output function considering preventive maintenance includes: establishment of simulation model; data collection and processing; fitting output function and establishing output function parameters. The invention also proposes a specific method for piecewise linearization of the output function. The production planning output function considering preventive maintenance proposed by the present invention will be more practical, and the impact of maintenance will be taken into consideration, which will make the production planning more accurate. For the output function considering the influence of maintenance, the segmented fitting method proposed by the present invention has higher fitting accuracy and can better reflect the essence of the output function.

Description

technical field [0001] The invention relates to the field of production planning decision-making method under non-fixed lead time, especially the production planning decision-making method considering the related variable of preventive maintenance. Background technique [0002] The output function is a constraint in the production plan. Ritter's law points out that there is a functional relationship among output, load and lead time. The existing output function (also called clearing function) does not consider the impact of maintenance on it, which will affect the accuracy of production planning. [0003] When the production planning method deals with production capacity, the current method mainly assumes that the equipment production capacity is infinite, and uses a fixed lead time. However, in reality, the lead time is a quantity that changes dynamically with the load. From the theoretical analysis of queuing theory, the lead time is also a dynamically changing quantity, ...

AI Technical Summary

Problems solved by technology

[0006] 1. The existing achievements do not consider the interaction between maintenance plan and production plan, which will make the expression of output function inaccurate and inconsistent with reality;

[0007] 2. The existing achievements do not take into account the maintenance and occupation of equipment capacity, which causes changes in the production lead time of products, thus affecting the accuracy of production plans;

[0008] 3. The existing results do not consider the impact of equipment reliability changes on equipment load after maintenance. Since the lead time is related to the load, it will also cause changes in the production plan;

[0009] 4. The existing achievements do not take into account the constraints in the production plan caused by maintenance variables - the change in the function form caused by the increase in the dimension of the output function;

[0010] 5. The existing achievements do not consider the constraints in the production plan caused by the maintenance variables - the change in the linearization method of the nonlinear function caused by the increase in the dimension of the output function

[0011] At present, there are no results for multi-dimensional output functions that consider maintenance.

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