Reliability–redundancy allocation problem considering optimal redundancy strategy using parallel genetic algorithm

Heungseob Kim, Pansoo Kim

Research output: Contribution to journalArticlepeer-review

145 Scopus citations

Abstract

To maximize the reliability of a system, the traditional reliability–redundancy allocation problem (RRAP) determines the component reliability and level of redundancy for each subsystem. This paper proposes an advanced RRAP that also considers the optimal redundancy strategy, either active or cold standby. In addition, new examples are presented for it. Furthermore, the exact reliability function for a cold standby redundant subsystem with an imperfect detector/switch is suggested, and is expected to replace the previous approximating model that has been used in most related studies. A parallel genetic algorithm for solving the RRAP as a mixed-integer nonlinear programming model is presented, and its performance is compared with those of previous studies by using numerical examples on three benchmark problems.

Original languageEnglish
Pages (from-to)153-160
Number of pages8
JournalReliability Engineering and System Safety
Volume159
DOIs
StatePublished - 1 Mar 2017

Keywords

  • Imperfect switching
  • Parallel genetic algorithm
  • Redundancy strategy
  • Reliability optimization
  • Reliability–redundancy allocation problem

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