On the optimal redundancy allocation for multi-state series–parallel systems under epistemic uncertainty

• Published in: Reliability engineering & system safety Vol. 192; p. 106019
• Main Authors: Sun, Mu-Xia, Li, Yan-Fu, Zio, Enrico
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.12.2019; Elsevier BV; Elsevier
• Subjects: Algorithms; Approximate system availability analysis; Benchmarks; Computer Science; Epistemic uncertainty; Infimum; Local search; Multi-state series–parallel systems; Multiple objective analysis; Operations Research; Optimization; Redundancy; Redundancy allocation; Reliability engineering; Repair algorithm; Stochastic dominance; Uncertainty; Upper bounds; RAP; Local search; CDF; RV; LP; iff; MSSPS RAP EU; MSS; Epistemic uncertainty; Stochastic dominance; Multi-state series–parallel systems; MSSPS; Redundancy allocation; Approximate system availability analysis; Repair algorithm; GA; MOEA

•We study the redundancy allocation problem for multi-state series–parallel systems under epistemic uncertainty.•The objective is to simultaneously maximize the supremum and infimum of system availability.•We propose a modified NSGA-II with targeted designs of repair and local search operation.•The...