کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386688 | 660890 | 2010 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Bi-objective group scheduling in hybrid flexible flowshop: A multi-phase approach Bi-objective group scheduling in hybrid flexible flowshop: A multi-phase approach](/preview/png/386688.png)
This study strives to minimize multi-objective flexible flowshop considering sequence-dependent setup times. The flowshop scheduling problem made up of n jobs that have to be processed on m machine. But a flexible flowshop scheduling problem should have more than one machine in at least one stage. As this problem is proven to be NP-hard, a multi-phase approach is developed to solve it. Both phases two and three improve their previous phase solutions, in order to tackle with the complexity of being multi-objective optimization, Pareto archive concepts have been implemented here. The parameters of the proposed algorithm are calibrated using a design of experiment (DOE) method. We investigate the performance of our algorithm through comparing two last stage of it with a distinguished benchmark, multi-objective genetic algorithm (MOGA). The computational results support the high performance of our innovative algorithm.
Journal: Expert Systems with Applications - Volume 37, Issue 6, June 2010, Pages 4024–4032