Abstract

Many systems are required to execute a series of missions with a finite break between any two adjacent missions. In order to improve the reliability of the system completing the next mission successfully, it is necessary to perform maintenance actions on the components considering limited maintenance resources. A novel idea to solve the problem of selective maintenance for a series-parallel system is proposed in this paper. This problem consists in finding the best choice of maintenance actions on a multi-component system by maximizing the system reliability under limited resources. With the increased number of components in the system, the possible combinations of selective maintenance increase exponentially, which raises the difficulty of the problem. For better solution of the problem, from the perspective of maintenance benefit, we develop a selective maintenance policy under maintenance priority of components. Finally, numerical example of a series-parallel system is given to illustrate the proposed method and verify the correctness and accuracy of the method.

Highlights

  • INTRODUCTIONSystems are intended to execute a sequence of missions with a finite break between two adjacent missions

  • In industrial environments, systems are intended to execute a sequence of missions with a finite break between two adjacent missions

  • REMARK A mission reliability model for complex series-parallel systems is established in this paper

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Summary

INTRODUCTION

Systems are intended to execute a sequence of missions with a finite break between two adjacent missions. Wang et al [21] presented a novel selective maintenance model for multi-state deteriorating systems with multi-state components considering imperfect maintenance strategy to minimize the total maintenance costs. In order to deal with the reliability problem of large sized systems, Rajagopalan and Cassady [23] proposed four improved enumeration procedures to reduce the CPU time for optimizing the selective maintenance. They assumed that all components in a subsystem were similar, and only the failed components were replaced.

SYSTEM DESCRIPTION
BASIC ASSUMPTIONS OF THIS PAPER ARE AS FOLLOWS
MAINTENANCE PRIORITY OF COMPONENTS
DECISION OBJECTIVE FUNCTION
SOLUTION METHODOLOGY
CONCLUSION
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