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Articles

Modelling of Simultaneous Decision Making of Production Control and Maintenance Schedule in the Context of Failure Downtime

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  • 1. School of Public Economy and Management, Shanghai University of Finance & Economics, Shanghai 200433, China;
    2. School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China

Received date: 2015-03-06

  Revised date: 2016-10-22

  Online published: 2016-08-24

Abstract

The objective is to make simultaneous decision of the production control and maintenance schedule decreasing the product cost. Firstly, the production system is introduced, its production process is given, and all kinds of cost are listed. Secondly, a model is stabled considering the process deterioration rate, the failure rate of production system and failure downtime, simultaneously making decision of the production process control, production planning and maintenance schedule. The established model is used to determine the inspection number in a production run, the production planning including the determination of economic manufacturing quantity (EMQ), the optimal number of production runs, and the interval of preventive maintenance (PM), and further to realize the objective of minimization of the total cost per unit time. Thirdly, a case study is given, which illustrates those factors, such as the deterioration rate of process, failure rate and downtime occurred by failure, affect the decision of production planning, the inspection policy of process and the maintenance schedule. In a word, this established model not only theoretically guides how to simultaneously decision of the production process control, production planning and maintenance schedule, but also can guide enterprises to formulate the optimal production planning and maintenance schedule and further to improve product quality and to decrease production cost.

Cite this article

ZHENG Rui, LV Wen-yuan . Modelling of Simultaneous Decision Making of Production Control and Maintenance Schedule in the Context of Failure Downtime[J]. Chinese Journal of Management Science, 2016 , 24(8) : 116 -122 . DOI: 10.16381/j.cnki.issn1003-207x.2016.08.014

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