Minimizing the weighted number of tardy jobs on a two-machine flow shop

R. L. Bulfin*, Rym M'Hallah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

In this paper, we describe an exact algorithm to solve the weighted number of tardy jobs two-machine flow shop scheduling problem. The algorithm uses branch-and-bound; a surrogate relaxation resulting in a multiple-choice knapsack provides the bounds. Extensive computational experiments indicate problems with 100 jobs can be solved quickly. Scope and purpose In many industrial sectors, satisfying due dates is a critical issue. Thus, lateness-related measures such as the (weighted) number of tardy jobs are relevant performance measures of schedules in these industries. Our paper studies the weighted number of tardy jobs two-machine flow shop problem, and proposes an exact algorithm that solves large problems.

Original languageEnglish
Pages (from-to)1887-1900
Number of pages14
JournalCOMPUTERS AND OPERATIONS RESEARCH
Volume30
Issue number12
DOIs
Publication statusPublished - Oct 2003

Keywords

  • Branch-and-bound
  • Combinatorial optimization
  • Scheduling
  • Surrogate relaxation

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