کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
387080 | 660896 | 2010 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Using analytic hierarchy process and particle swarm optimization algorithm for evaluating product plans Using analytic hierarchy process and particle swarm optimization algorithm for evaluating product plans](/preview/png/387080.png)
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.
Journal: Expert Systems with Applications - Volume 37, Issue 2, March 2010, Pages 1023–1034