Exact and heuristic methods to solve the parallel machine scheduling problem with multi-processor tasks

Lingxiao Wu, Shuaian Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This paper studies a special parallel machine scheduling problem where some tasks require more than one machine to process, known as the Parallel Machine Scheduling Problem with Multi-processor Tasks. Two mathematical models and several theoretical properties are proposed for the studied problem. To solve this problem, this paper develops an exact branch and bound algorithm and a heuristic tabu search algorithm. A series of numerical experiments are conducted to test the performance of these solution methods. The computational results show that the solution methods are effective and efficient in solving the problem with different sizes.

Original languageEnglish
Pages (from-to)26-40
Number of pages15
JournalInternational Journal of Production Economics
Volume201
DOIs
Publication statusPublished - Jul 2018

Keywords

  • Branch and bound
  • Multi-processor tasks
  • Parallel machine
  • Scheduling
  • Tabu search

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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