Makespan minimization in online scheduling with machine eligibility

Kangbok Lee, Joseph Y.T. Leung, Michael L. Pinedo

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

In this paper we provide a survey of online scheduling in parallel machine environments with machine eligibility constraints and the makespan as objective function. We first give a brief overview of the different parallel machine environments and then survey the various types of machine eligibility constraints, including tree-hierarchical processing sets, Grade of Service processing sets, interval processing sets, and nested processing sets. We furthermore describe the relationships between the various different types of processing sets. We proceed with describing two basic online scheduling paradigms, namely online over list and online over time. For each one of the two paradigms we survey all the results that have been recorded in the literature with regard to each type of machine eligibility constraints. We obtain also several extensions in various directions. In the concluding section we describe the most important open problems in this particular area.

Original languageEnglish (US)
Pages (from-to)189-222
Number of pages34
JournalAnnals of Operations Research
Volume204
Issue number1
DOIs
StatePublished - Jan 9 2013

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Management Science and Operations Research

Keywords

  • Competitive ratio
  • Eligibility constraint
  • Interval and nested processing sets
  • Makespan
  • Offline scheduling
  • Online and semi-online scheduling
  • Parallel machine scheduling
  • Tree-hierarchical and GoS processing sets

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