Maximization of a percentile life of a series system through component redundancy allocation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • V. Rajendra Prasad
  • Way Kuo
  • Kyungmee O. Kim

Detail(s)

Original languageEnglish
Pages (from-to)1071-1079
Journal / PublicationIIE Transactions (Institute of Industrial Engineers)
Volume33
Issue number12
Publication statusPublished - 2001
Externally publishedYes

Abstract

In a redundancy allocation problem, maximization of system reliability for a specified mission time has been thoroughly studied. Instead, we consider the optimal redundancy which maximizes a percentile life of a series system without violating a cost constraint. A percentile life is the maximum mission time for which system reliability meets at least a specific value. The proposed measure has advantages over regular reliability maximization in fixing warranties or when a system has no clear mission time. Previously, the proposed problem was solved by a heuristic or a genetic algorithm. Because of the infeasibility of finding a close form of percentile life in the redundancy level, we now develop a lexicographic search methodology to obtain an exact optimal solution. A transformed problem is first considered to get an upper bound, which is iteratively used to reduce search space. When any two stages of a system have a precedence relationship based on the cost and lifetime then the search space can be further reduced. The algorithm is general for any continuous increasing lifetime distributions, and can be easily extended for the additional weight and volume constraints. © 2001, Taylor & Francis Group, LLC.

Bibliographic Note

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