Production and Equipment Detection Scheduling with Environmental Degradation Costs Caused by System Deteriorations

Document Type : Research Paper

Authors

1 Professor, Department of Industrial Engineering, Alzahra University

2 Department of Industrial Engineering, Alzahra University

3 Student of Industrial Engineering Alzahra University

Abstract

Machines and equipment continuous operation exposes them to failure (such as aging, wear, corrosion and creep). Consequences of such deteriorations are not limited to efficiency, reliability and life cycle reduction, they also may lead to environmental degradation. Investigating adverse effects of system’s failures have led to many academic studies on condition-based maintenance strategies. One of prominent approaches in this area is   maintenance policy based on the system’s performance and status, which reduces the overhead costs of the associated penalties by controlling environmental damages. The purpose of this study is to model an optimal maintenance policy including production and inspection periods scheduling with minimal average total cost, under uncertainty conditions. In this article, the threshold exceeding period, time to failure from exceeding threshold point and the delay time to start maintenance activities are considered random variables and their effects have been studied. Numerical examples of the proposed maintenance model have been solved by Nelder–Mead, PSO and Genetic algorithms, and optimal inspection times are computed. Sensitivity analyses have been done numerically to study the effect of changes of different parameters on the optimal inspection times.

Keywords

References

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]23[ البرزی، محمود، (1388). الگوریتم ژنتیک، موسسه انتشارات علمی دانشگاه صنعتی شریف، تهران، چاپ اول: سال 1388.
Journal of Industrial Engineering Research in Production Systems
Volume 8, Issue 16
September 2020
Pages 1-13

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