Optimization of the K-Out-of-N Systems using Particle Swarm Optimization Method

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Yahyatabar Arabi, Ali Asghar | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43246 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Eshraghniaye Jahromi, Abdolhamid
Abstract:
In this study, redundancy allocation problem for a system with y subsystem including k-out-of-n structure is investigated. Due to existing repairable components in each subsystem, the model consists of selecting number of repairman and redundancy level for each subsystem. The model is constructed based on Markovian process and the goal is maximization of steady-state availability under constraints such as cost, weight, and volume. In this model, two type of costs are considered; cost of employing repairmen and cost of preparing components and decision variables of the model are number of repairman and number of component in each subsystem.The model is located into integer non-linear programming with linear constraints. Due to complexity and time-consuming, a heuristic algorithm called Particle Swarm Optimization is applied to solve the problem. To analyze the model and application of the method, two examples are considered. Finally, to evaluate the method, comparison between the exact solution and solution by the proposed algorithm is done
Keywords:
Availability ; Repairability ; Particles Swarm Optimization (PSO)

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