Economic Maintenance Planning of Complex Systems Based on Discrete Artificial Bee Colony Algorithm
| Autor: | Zhang Lele, Guangdong Tian, Emad Abouel Nasr, Zhaofang Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Requirements engineering Computer science Reliability (computer networking) economic dependence artificial bee colony General Engineering Complex system 02 engineering and technology Maintenance engineering Industrial engineering multi-state systems Artificial bee colony algorithm 020901 industrial engineering & automation Component (UML) 0202 electrical engineering electronic engineering information engineering Selective maintenance Weibull distribution 020201 artificial intelligence & image processing General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Duration (project management) lcsh:TK1-9971 Global optimization |
| Zdroj: | IEEE Access, Vol 8, Pp 108062-108071 (2020) |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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