Minimising total weighted earliness and tardiness penalties on identical parallel machines using a fast ruin-and-recreate algorithm

Shih Wei Lin, Kuo Ching Ying*, Yen I. Chiang, Wen Jie Wu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

17 Scopus citations

Abstract

This paper studies the scheduling problem of minimising total weighted earliness and tardiness penalties on identical parallel machines against a restrictive common due date. This problem is NP-hard in the strong sense and arises in many just-in-time production environments. A fast ruin-and-recreate (FR&R) algorithm is proposed to obtain high-quality solutions to this complex problem. The proposed FR&R algorithm is tested on a well-known set of benchmark test problems that are taken from the literature. Computational results provide evidence of the efficiency of FR&R, which consistently outperform existing algorithms when applied to benchmark instances. This work provides a viable alternative approach for efficiently solving this practical but complex scheduling problem.

Original languageEnglish
Pages (from-to)6879-6890
Number of pages12
JournalInternational Journal of Production Research
Volume54
Issue number22
DOIs
StatePublished - 16 11 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • common due date
  • metaheuristics
  • parallel machines
  • scheduling
  • total weighted earliness and tardiness

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