DocumentCode :
2998435
Title :
Simulation-based optimization for repairable systems using particle swarm algorithm
Author :
Alkhamis, Talal M. ; Ahmed, Mohamed A.
Author_Institution :
Dept. of Stat. & Operations Res., Kuwait Univ., Safat
fYear :
2005
fDate :
4-4 Dec. 2005
Abstract :
We describe an approach based on particle swarm optimization (PSO) for determining the optimal allocation of spares as well as repair resources while satisfying a desired availability constraint. The proposed method expands the original PSO algorithm to handle stochastic constraints and discrete decision variables. Computational results show that the proposed approach is efficient for determining the optimal choice of spares and repair channels for multiechelon repairable-item inventory systems
Keywords :
inventory management; particle swarm optimisation; simulation; stochastic processes; discrete decision variables; multiechelon repairable-item inventory system; particle swarm algorithm; repair resources; repairable system; simulation optimization; spares optimal allocation; stochastic constraint; Availability; Cost function; Operations research; Particle swarm optimization; Queueing analysis; Random processes; Random variables; Resource management; Statistics; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2005 Proceedings of the Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9519-0
Type :
conf
DOI :
10.1109/WSC.2005.1574332
Filename :
1574332
Link To Document :
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