Interval programming for the redundancy allocation with choices of redundancy strategy and component type under uncertainty: Erlang time to failure distribution

DOI10.1016/j.amc.2014.06.113zbMath1335.90027OpenAlexW1971548718MaRDI QIDQ278366

Seyed Jafar Sadjadi, Reza Tavakkoli-Moghaddam, Roya Soltani

Publication date: 2 May 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2014.06.113

zbMATH Keywords

reliability optimizationinterval programmingErlang time to failureredundancy allocationsystem engineering

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (3)

An entropy-based three-stage approach for multi-objective system reliability optimization considering uncertainty ⋮ Robust counterpart optimization for the redundancy allocation problem in series-parallel systems with component mixing under uncertainty ⋮ Genetic algorithm for solving bi-objective redundancy allocation problem with \(k\)-out-of-\(n\) subsystems

Cites Work

• A GA based penalty function technique for solving constrained redundancy allocation problem of series system with interval valued reliability of components
• Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm
• A nonlinear interval number programming method for uncertain optimization problems
• Interval 0-1 Programming Problem and Product-Mix Analysis

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