Integrated production and delivery withmultiple factories and multiple customers

Kai Li, Xun Zhang, Joseph Y.T. Leung, Ba yi Cheng

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper considers coordinated scheduling of production and delivery with multiple factories and multiple customers. Due to the variation of cost, the production and delivery costs of a job are dependent on the factory to which it is assigned. Our problem is to find a schedule that minimises the makespan or the total completion time, subject to the constraint that the total cost does not exceed a given threshold. We first describe a linear programming algorithm to solve the preemptive case. The result of the linear program serves as a lower bound of the nonpreemptive case and suggests heuristics to solve the nonpreemptive case. We also show that minimising the total completion time subject to a given threshold of the cost is NP-complete. Computational experiments are conducted and the results show that the heuristics perform very well in practice.

Original languageEnglish (US)
Pages (from-to)219-228
Number of pages10
JournalInternational Journal of Systems Science: Operations and Logistics
Volume4
Issue number3
DOIs
StatePublished - Jul 3 2017

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Management Science and Operations Research
  • Information Systems and Management

Keywords

  • Scheduling
  • delivery cost
  • heuristics
  • makespan
  • multiple factories
  • total completion time

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