Scheduling jobs on parallel machines with setup times and ready times

Michele Pfund, John Fowler, Amit Gadkari, Yan Chen

Research output: Contribution to journalArticle

85 Scopus citations

Abstract

In this research we are interested in scheduling jobs with ready times on identical parallel machines with sequence dependent setups. Our objective is to minimize the total weighted tardiness. As this problem is NP-Hard, we develop a heuristic to solve this problem in reasonable time. Our approach is an extension of the apparent tardiness cost with setups (ATCS) approach by [Lee, Y. H., Pinedo, M. (1997). Scheduling jobs on parallel machines with sequence dependent setup times. European Journal of Operational Research, 100, 464-474.] to allow non-ready jobs to be scheduled - meaning we allow a machine to remain idle for a high priority job arriving at a later time. To determine the scaling parameters for our composite dispatching rule (called ATCSR), we first develop a 'grid approach' that considers multiple values for the scaling parameters, generates multiple schedules, and chooses the best schedule for the solution. This experimentation was then used to develop regression equations to predict the values of the scaling parameters that would yield the highest quality solution. The grid and regression versions of ATCSR provide better performance than grid and empirically based formula versions of ATCS, BATCS, and X-RM which are the prominent algorithms in the literature.

Original languageEnglish (US)
Pages (from-to)764-782
Number of pages19
JournalComputers and Industrial Engineering
Volume54
Issue number4
DOIs
StatePublished - May 1 2008

Keywords

  • Heuristics
  • Parallel machines
  • Ready time
  • Scheduling
  • Setup time

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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