Production System Maintenance Decision Models Based on Product Quality and Rework Process

doi:10.12068/j.issn.1005-3026.2017.09.021

Abstract

Abstract: To effectively reduce the operation cost and ensure the throughput of production systems simultaneously， a preventive maintenance decision model was proposed， taking into consideration the product quality and rework process. Firstly， based on the location of the rework point， the whole production line was divided into two parts. Under this condition， the throughput evaluation and preventive maintenance models were established for the purpose of maximizing the overall revenue of the systems at the pre-and post-rework points， by using the decomposition method and the state transition rule respectively. Finally， an example analysis of the model was given by using the estimation algorithm of hybrid particle swarm distribution and the results showed that the proposed model and algorithm are valid and workable.

Key words: production system, quality, rework, throughput, preventive maintenance

CLC Number:

TP391

ZHOU Bing-hai， LIU Yu-wang. Production System Maintenance Decision Models Based on Product Quality and Rework Process[J]. Journal of Northeastern University Natural Science, 2017, 38(9): 1315-1321.

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