Integrated scheduling of production and delivery with time windows

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)897-909
Number of pages13
JournalInternational Journal of Production Research
Volume51
Issue number3
DOIs
StatePublished - 1 Feb 2013

Keywords

  • adaptive operation
  • genetic algorithm
  • integrated scheduling
  • time windows
  • vehicle route

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