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Cold-standby sequencing optimization considering mission cost

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  • Levitin, Gregory
  • Xing, Liudong
  • Dai, Yuanshun

Abstract

This paper considers the optimal standby component sequencing problem (SESP) for 1-out-of-N: G heterogeneous cold-standby systems. Given the desired cold-standby redundancy level and a fixed set of components, the objective of the optimal system operation scheduling is to select the initiation sequence of the system components so as to minimize the expected mission cost of the system. Based on a discrete approximation of time-to-failure distributions of the system components, the mission reliability and expected mission cost are simultaneously evaluated using the universal generating function technique. A genetic algorithm is used as an optimization tool for solving the formulated SESP problem for the 1-out-of-N: G heterogeneous cold-standby systems. Several examples are given to illustrate the considered problem and the proposed solution methodology.

Suggested Citation

  • Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2013. "Cold-standby sequencing optimization considering mission cost," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 28-34.
    • Handle: RePEc:eee:reensy:v:118:y:2013:i:c:p:28-34
    DOI: 10.1016/j.ress.2013.04.010
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    3. Tavakkoli-Moghaddam, R. & Safari, J. & Sassani, F., 2008. "Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 550-556.
    4. Gregory Levitin, 2005. "The Universal Generating Function in Reliability Analysis and Optimization," Springer Series in Reliability Engineering, Springer, number 978-1-84628-245-4, March.
    5. Xing, Liudong & Amari, Suprasad V. & Wang, Chaonan, 2012. "Reliability of k-out-of-n systems with phased-mission requirements and imperfect fault coverage," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 45-50.
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