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Reliability analysis and optimization of multi-state sliding window system with sequential demands and time constraints

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  • Wang, Wei
  • Fang, Chao
  • Liu, Shan
  • Xiang, Yisha

Abstract

This paper proposes a new model that generalizes the multi-state sliding window system to the case involving sequential demands and time constraints. In this model, the system (named MSWS-SD&TC) contains n linearly or circularly arranged multi-state elements (MEs), and its function depends on the ability that each r-consecutive-ME group can meet the demands of sequential tasks subject to time constraints. The reliability model of the system is built with consideration of the optimal performance assignment scheme in each group of MEs. In order to effectively determine the optimal performance assignment scheme with minimum completion time in each r-consecutive-ME group, we develop a dynamic programming algorithm in this paper. We use a technique of universal generating function to represent the system states and evaluate the system reliability. Since the order of MEs has strong impact on the system reliability, we also investigate the optimal sequencing problem for the MEs in the system, and solve the problem with a genetic algorithm. Examples of evaluating system reliability and element sequencing optimization are presented for illustration.

Suggested Citation

  • Wang, Wei & Fang, Chao & Liu, Shan & Xiang, Yisha, 2021. "Reliability analysis and optimization of multi-state sliding window system with sequential demands and time constraints," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
  • Handle: RePEc:eee:reensy:v:208:y:2021:i:c:s0951832021000181
    DOI: 10.1016/j.ress.2021.107449
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    References listed on IDEAS

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    1. Wang, Wei & Fu, Yongnian & Si, Peng & Lin, Mingqiang, 2020. "Reliability analysis of circular multi-state sliding window system with sequential demands," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
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    5. Lu, Shaoqi & Shi, Daimin & Xiao, Hui, 2019. "Reliability of sliding window systems with two failure modes," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 366-376.
    6. Hui Xiao & Rui Peng & Gregory Levitin, 2016. "Optimal replacement and allocation of multi‐state elements in k‐within‐m‐from‐r/n sliding window systems," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 32(2), pages 184-198, March.
    7. Yun, Won-Young & Kim, Gui-Rae & Yamamoto, Hisashi, 2007. "Economic design of a circular consecutive-k-out-of-n:F system with (k-1)-step Markov dependence," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 464-478.
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    11. Levitin, Gregory & Xing, Liudong & Ben-Haim, Hanoch & Huang, Hong-Zong, 2019. "Dynamic demand satisfaction probability of consecutive sliding window systems with warm standby components," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 397-405.
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    15. Xiao, Hui & Zhang, Yiyun & Xiang, Yisha & Peng, Rui, 2020. "Optimal design of a linear sliding window system with consideration of performance sharing," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
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    Cited by:

    1. Xiao, Hui & Yi, Kunxiang & Liu, Haitao & Kou, Gang, 2021. "Reliability modeling and optimization of a two-dimensional sliding window system," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Wang, Wei & Fang, Chao & Wang, Yan & Li, Jin, 2022. "Reliability Modeling and Optimization of Circular Multi-State Sliding Time Window System with Sequential Demands," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

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