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Analyzing the effect of dispatching rules on the scheduling performance through grammar based flexible scheduling system

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  • Baykasoglu, Adil
  • ÖzbakIr, Lale

Abstract

In this paper, the effects of dispatching rules on the scheduling performance of job-shops with different flexibility levels are analyzed. Four different flexibility levels are defined for operations. Five dispatching rules are evaluated according to mean tardiness as the performance criteria for the scheduling system. Performance variations of dispatching rules among different machine flexibility levels are determined and statistically analyzed. It is found out after detailed analysis that the effect of dispatching rule selection on job shop performance weakens as the job shop flexibility increases. This important finding should be taken into account while designing scheduling systems for job shops that are flexible.

Suggested Citation

  • Baykasoglu, Adil & ÖzbakIr, Lale, 2010. "Analyzing the effect of dispatching rules on the scheduling performance through grammar based flexible scheduling system," International Journal of Production Economics, Elsevier, vol. 124(2), pages 369-381, April.
    • Handle: RePEc:eee:proeco:v:124:y:2010:i:2:p:369-381
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    References listed on IDEAS

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    1. Saad, Ihsen & Hammadi, Slim & Benrejeb, Mohamed & Borne, Pierre, 2008. "Choquet integral for criteria aggregation in the flexible job-shop scheduling problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(5), pages 447-462.
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    Cited by:

    1. Alper Türkyılmaz & Özlem Şenvar & İrem Ünal & Serol Bulkan, 2020. "A research survey: heuristic approaches for solving multi objective flexible job shop problems," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 1949-1983, December.
    2. Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.
    3. Chiang, Tsung-Che & Lin, Hsiao-Jou, 2013. "A simple and effective evolutionary algorithm for multiobjective flexible job shop scheduling," International Journal of Production Economics, Elsevier, vol. 141(1), pages 87-98.
    4. Li, Xinyu & Gao, Liang, 2016. "An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem," International Journal of Production Economics, Elsevier, vol. 174(C), pages 93-110.

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