The LPT heuristic for minimizing total load on a proportionate openshop

Enrique Gerstl, Gur Mosheiov*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We study the problem of minimizing total load on a proportionate openshop. The problem is proved to be NP-hard. A simple LPT (Longest Processing Time first)-based heuristic is proposed, and a bound on the worst-case relative error is introduced: (where m is the number of machines). The proposed bound is smaller than the classical bound on the relative error of LPT when minimizing makespan on parallel identical machines. The algorithm is tested numerically and is shown to produce very close-to-optimal schedules.

Original languageAmerican English
Pages (from-to)190-198
Number of pages9
JournalDiscrete Applied Mathematics
Volume338
DOIs
StatePublished - 30 Oct 2023

Bibliographical note

Publisher Copyright:
© 2023

Keywords

  • Heuristic
  • Proportionate openshop
  • Scheduling
  • Total load
  • Worst case bound

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