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Using analytic hierarchy process and particle swarm optimization algorithm for evaluating product plans
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DOI：10.1016/j.eswa.2009.05.073.png)
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This paper developed an optimized mathematical model to address the modification of spare parts In addition, it can evaluate the execution of modified product plans, it also evaluates the Suppliers and distributes spare parts Supplied by the suppliers In this mathematical model, analytic hierarchy process (AHP) was proposed for the formulation of factor weights In addition. an improved particle swarm optimization (PSO) algorithm was also developed for solving the mathematical model, with the introduction of memory and inhibition mechanisms. it could eliminate worse results and excessive searches Finally, this paper combines the improved mechanisms and four PSO speed-updating criterions. The case Study shows that. this improved PSO has good solving capabilities (C) 2009 Elsevier Ltd. All rights reserved
Keywords:
Product plans
Analytic hierarchy process
Particle swarm optimization
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