A value-driven approach for optimizing reliability-redundancy allocation problem in multi-state weighted k-out-of-n system

Hadi Akbarzade Khorshidi, Indra Gunawan, M. Yousef Ibrahim

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)

Abstract

This study concentrates on optimizing a multi-state weighted k-out-of-n system consisting of different types of reparable components. An optimization model is developed to decide upon both optimal redundancy allocation and best maintenance activities for reliability allocation. The optimization model is to maximize system reliability and minimize system cost simultaneously. To reach this goal, a financial view has been employed to estimate the system reliability, and combine it with system cost. The proposed model determines the number of each component type in the system, and the maintenance actions and the time at which they should be applied. Also, the model is programmed by MATLAB, and Genetic Algorithm is used to solve a practical case.

Original languageEnglish
Pages (from-to)54-62
Number of pages9
JournalJournal of Manufacturing Systems
Volume40
DOIs
Publication statusPublished - 1 Jul 2016

Keywords

  • Manufacturing system
  • Multi-state weighted k-out-of-n system
  • Net present value
  • System reliability optimization
  • Universal generating function

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