Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA

In this paper, a procedure based on efficient epsilon-constraint method and data envelopment analysis (DEA) is proposed for solving binary-state multi-objective reliability redundancy allocation series-parallel problem (MORAP). In first module, a set of qualified non-dominated solutions on Pareto fr...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 103; S. 35 - 44
Hauptverfasser:	Khalili-Damghani, Kaveh, Amiri, Maghsoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.07.2012 Elsevier
Schlagworte:	Algorithms Allocations Applied sciences Benchmarking DEA Decision theory. Utility theory Enumeration Exact sciences and technology Mathematical models Mathematics Modules Multi-objective redundancy allocation problem Nonparametric inference Operational research and scientific management Operational research. Management science Operations research Pareto front Probability and statistics Redundancy Reliability theory. Replacement problems Sciences and techniques of general use Statistics ε-constraint method Pareto front DEA ε-constraint method Multi-objective redundancy allocation problem Performance evaluation Statistical analysis Enumeration Filtering Pareto optimum Decision making Redundancy Multiobjective programming Non parametric method Non parametric estimation Modeling Multi-objective redundancy allocation Upper bound problem Efficiency Metric Reliability Data envelopment analysis
ISSN:	0951-8320, 1879-0836
Online-Zugang:	Volltext
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