Dynamic job shop scheduling for missed due date performance

ALPAY Ş., Yuzugullu N.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol.47, no.15, pp.4047-4062, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 15
  • Publication Date: 2009
  • Doi Number: 10.1080/00207540802043980
  • Journal Name: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.4047-4062
  • Keywords: dynamic job shop scheduling, missed due date performance, due date assignment, dispatching, simulation, ASSIGNMENT RULES, FLOWTIME PREDICTION, DISPATCHING RULES, TARDINESS CONTROL, NEURAL-NETWORKS, SIMULATION, ENVIRONMENT, POLICIES
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

In this research, missed due date in terms of mean absolute lateness (MAL) and mean square lateness (MSL) has been considered as a performance criterion and a scheduling study has been performed to improve the missed due date performance in dynamic, stochastic, multi machine job shop environments. In the study, a new due date assignment model was proposed and a new dynamic dispatching rule was developed. The results indicate that the proposed due date assignment model is very successful for improving the missed due date performance and the developed dispatching rule is also very successful for meeting the assigned due dates.