Reliability Optimization of Series-Parallel System with Redundancy Allocation and Stochastic Failure Rate

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Mokhtari, Zahra | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43298 (01)
University: Sharif University of Technology
Department: Industial Engineering
Advisor(s): Mahlooji, Hashem
Abstract:
This thesis presents a method to solve a redundancy allocation problem for the series-parallel system. The modeling formulation deals with the choice of the best redundancy strategy, component and redundancy level for each subsystem in order to maximize the system reliability under system-level constraints. Majority of the solution methods for the general redundancy allocation problems assume that the failure rate of components is determined. However, in practice variable failure rate may be used. The complexity of this problem is known as NP-hard and therefore the optimal solution is not accessible in the normal course of events. It is demonstrated in this thesis that genetic algorithm is an efficient method for solving this type of problems. Finally, computational results for a typical scenario are presented and the robustness of the proposed algorithm is discussed
Keywords:
Series-Parallel System ; Failure Rate ; Robust Optimization ; Genetic Algorithm ; Redundancy Allocattion Problem ; Redundancy Strategy ; Stochastic Failure Rate

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