Job shop scheduling for missed due-date performance

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)


Relatively little job shop scheduling research has focused on the missed due-date performance. In this paper, we investigate how two important decision factors, namely dispatching rules and due-date assignment methods, affect the missed due-date performance in job shop scheduling. A new dispatching rule and two new due-date setting models are developed in order to improve the performance criteria based on missed due dates. The new due-date models are capable of adjusting dynamically the flowtime estimation by using feedback information about current shop load conditions. Simulation results show that the proposed dynamic due-date models are significantly better than their static counterparts. The best missed due-date performance is observed when a combination of a dynamic due-date setting model and an appropriate due-date-dependent dispatching rule is employed. In addition, the new models are simple and easy to implement without preliminary runs for parameter estimation.
Original languageEnglish
Pages (from-to)297-307
Number of pages11
JournalComputers and Industrial Engineering
Issue number2-4
Publication statusPublished - 1 Apr 1998

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics


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