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Scheduling on parallel machines to minimise maximum lateness for the customer order problem

Author

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  • Ling-Huey Su
  • Ping-Shun Chen
  • Szu-Yin Chen

Abstract

This article addresses the customer order problem where jobs are scheduled on a set of parallel machines and dispatched in batches. A machine can process only one job at a time, whereas multiple machines can simultaneously process jobs in a batch. The evaluation of the performance is minimisation of maximum lateness. The problem is designated as . Three heuristics, based on simple scheduling rules, for each problem are proposed and their tight worst case bounds are found. Computational experiments are also conducted to evaluate the effectiveness of the heuristics.

Suggested Citation

  • Ling-Huey Su & Ping-Shun Chen & Szu-Yin Chen, 2013. "Scheduling on parallel machines to minimise maximum lateness for the customer order problem," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(5), pages 926-936.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:5:p:926-936
    DOI: 10.1080/00207721.2011.649366
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    Cited by:

    1. Jian Chen & Meilin Wang & Xiang T. R. Kong & George Q. Huang & Qinyun Dai & Guoqiang Shi, 2019. "Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2659-2668, October.
    2. Ignacio A. Sepúlveda & Maichel M. Aguayo & Rodrigo De la Fuente & Guillermo Latorre-Núñez & Carlos Obreque & Camila Vásquez Orrego, 2024. "Scheduling mobile dental clinics: A heuristic approach considering fairness among school districts," Health Care Management Science, Springer, vol. 27(1), pages 46-71, March.
    3. Framinan, Jose M. & Perez-Gonzalez, Paz & Fernandez-Viagas, Victor, 2019. "Deterministic assembly scheduling problems: A review and classification of concurrent-type scheduling models and solution procedures," European Journal of Operational Research, Elsevier, vol. 273(2), pages 401-417.

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