Integrated scheduling of production and delivery with time windows

Chinyao Low*, Rong-Kwei Li, Chien Min Chang

*Corresponding author for this work

研究成果: Article同行評審

44 引文 斯高帕斯(Scopus)

摘要

This paper deals with an integrated scheduling problem in which orders have been processed by a distribution centre and then delivered to retailers within time windows. We propose a nonlinear mathematical model to minimise the time required to complete producing the product, delivering it to retailers and returning to the distribution centre. The optimal schedule and vehicle routes can be determined simultaneously in the model. In addition, two kinds of genetic-algorithm-based heuristics are designed to solve the large-scale problems. The conventional genetic algorithm provides the search with a high transition probability in the beginning of the search and with a low probability toward the end of the search. The adaptive genetic algorithm provides an adaptive operation rate control scheme that changes rate based on the fitness of the parents. The experimental results have shown that the solution quality of these two algorithms is not significant but that the adaptive genetic algorithm can save more time in finding the best parameter values of the genetic algorithm.

原文English
頁(從 - 到)897-909
頁數13
期刊International Journal of Production Research
51
發行號3
DOIs
出版狀態Published - 1 二月 2013

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