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A Reliability Optimization Problem of System with Mixed Redundancy Strategies

혼합 중복전략을 고려한 시스템 신뢰도 최적화 문제

  • Kim, Heung-Seob (Logistics Management Wing, Air Force Logistics Command) ;
  • Jeon, Geon-Wook (Department of Operations Research, Korea National Defense University)
  • Received : 2011.11.18
  • Accepted : 2011.12.10
  • Published : 2012.06.01

Abstract

The reliability is defined as a probability that a system will operate properly for a specified period of time under the design operating conditions without failure and it has been considered as one of the major design parameters in the field of industries. Reliability-Redundancy Optimization Problem(RROP) involves selec tion of components with multiple choices and redundancy levels for maximizing system reliability with constraints such as cost, weight, etc. However, in practice both active and cold standby redundancies may be used within a particular system design. Therefore, a redundancy strategy(active, cold standby) for each subsystem in order to maximize system reliability is considered in this study. Due to the nature of RROP, i.e. NP-hard problem, A Parallel Particle Swarm Optimization(PPSO) algorithm is proposed to solve the mathematical programming model and it gives consistently better quality solutions than existing studies for benchmark problems.

Keywords

References

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Cited by

  1. A Reliability Redundancy Optimization Problem with Continuous Time Absorbing Markov Chain vol.39, pp.4, 2013, https://doi.org/10.7232/JKIIE.2013.39.4.290
  2. Optimal Reliability Strategy for k-out-of-n System Considering Redundancy and Maintenance vol.40, pp.1, 2014, https://doi.org/10.7232/JKIIE.2014.40.1.118