A New Model for Reliability Optimization of Series-parallel Systems Using Mixed Redundancy Strategy

Please enable javascript in your browser.

Feizabadi, Mohammad | 2015

545 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47565 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Eshraghniaye Jahromi, Abdolhamid
Abstract:
In current societies, reliability is an important and fundamental factor in designing and manufacturing products and it cannot be ignored anyway; because sometimes malfunction and failure in a system can cause severe financial losses and health issues. In the field of optimizing reliability by redundancy allocation, one of the structures that has drawn many researchers attention is series-parallel structure. In the models proposed for reliability optimization in series-parallel systems, there is a restricting assumption which all components of a sub-system have to be homogeneous. In this thesis, new models are presented which enable components of a sub-system be non-homogeneous. Modeling is done in two ways: single-objective and multi-objective. To solve the single-objective model, genetic algorithm, and for multi-objective model, fast non-dominated sorting genetic algorithm is used. Finally, by various kinds of analysis, it is shown that the best results for reliability of series-parallel systems are achieved
Keywords:
Meta Heuristic Algorithm ; Reliability Optimization ; Redundancy Allocattion Problem ; Series-Parallel System ; Non-Homogeneous Components

No TOC