Minimising total weighted earliness and tardiness on parallel machines using a hybrid heuristic

Rym M'hallah, Talal Al-Khamis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Scheduling jobs with different processing times and distinct known due dates on parallel machines (which may be idle) so as to minimise the total weighted earliness and tardiness is NP-hard. It occurs frequently in industrial settings with a just-in-time production environment. Here, small instances of this problem are tackled via an exact mixed-integer program, whereas larger instances are approximately solved using hybrid algorithms. The computational investigation discerns what makes a difficult instance, and demonstrates the efficiency of the approach.

Original languageEnglish
Pages (from-to)2639-2664
Number of pages26
JournalINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume50
Issue number10
DOIs
Publication statusPublished - 15 May 2012

Keywords

  • Genetic algorithms
  • Heuristics
  • Parallel machines
  • Scheduling
  • Simulated annealing

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