Optimal choice of standby modes in 1-out-of-N system with respect to mission reliability and cost

Gregory Levitin, Liudong Xing, Sun Peng and Yuanshun Dai

Applied Mathematics and Computation, 2015, vol. 258, issue C, 587-596

Abstract: This paper considers a new type of optimization problems, the optimal standby mode selection problem in 1-out-of-N: G warm standby systems where multiple standby mode choices are available to provide different levels of operation readiness of standby elements and further to achieve a balance between fast restoration and low operation cost. Given the desired redundancy level and a fixed set of standby mode choices, the objective of the optimal system design is to choose a standby mode for each of redundant elements so as to minimize expected mission cost of the system subject to a certain reliability constraint. An iterative procedure is first suggested to evaluate system reliability and expected mission cost simultaneously. Based on the suggested evaluation algorithm, a genetic algorithm is then used as an optimization tool for solving the formulated optimal standby mode selection problem in 1-out-of-N: G warm standby systems. Examples are given to illustrate the considered evaluation and optimization problems as well as the proposed solution methodology.

Keywords: Warm-standby system; Standby mode; Mission cost; 1-out-of-N: G system; Reliability (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:258:y:2015:i:c:p:587-596

DOI: 10.1016/j.amc.2015.02.046

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