Abstract
In recent years, system maintenance has become a hot topic that has attracted significant research interests from both academia and industry, and has found applications in many areas. A modern system usually consists of many components, among which there may be different dependencies. The maintenance strategy that ignores the dependencies among components cannot meet the actual engineering requirements and may even affect the usability of the entire system. Therefore, in this paper, we study the economic dependence of equipment cost and duration sharing when components are replaced at the same time. By characterizing the relationship between the effective service age and reliability of components using the Weibull distribution, we establish a selective maintenance model of multi-state complex system with economic dependence. The discrete artificial bee algorithm is used as the global optimization method to solve the dual- objective optimization model and obtain the Pareto solution set of the maintenance level of each component. A case study of the Shooman network system is performed to demonstrate the usefulness of the model and the importance of considering the economic dependencies between components in maintenance decisions.
Highlights
Maintenance is a preventive or repair measure to keep a system in a normal or specified state
In this paper, the selective maintenance decision problem of complex multi-state systems considering the effect of incomplete maintenance is studied from the perspective of economic dependence
The Weibull distribution model is used to describe the relationship between the age and reliability of components, and the constructor function is used to describe the relationship between the maintenance cost allocated by components and the age reduction factor
Summary
Maintenance is a preventive or repair measure to keep a system in a normal or specified state. It is designed to provide optimal system reliability, availability, or safety performance at a low maintenance cost. In [1], Do et al developed a number of strategies for maintaining single-component systems. These maintenance strategies can be applied to multi-component systems when components in the system are assumed to be independent of each other. Rice et al [2] firstly established a maintenance model to optimize the selective maintenance model, and designed an algorithm to obtain the feasible solution, so as to help decision makers determine the maintenance subset before the mission. Some scholars [4]–[10] established corresponding maintenance strategy models by adapting the model to different
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