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Parallel machine scheduling with tool loading: a constraint programming approach

Author

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  • Burak Gökgür
  • Brahim Hnich
  • Selin Özpeynirci

Abstract

This paper presents constraint programming models that aim to solve scheduling and tool assignment problems in parallel machine environments. There are a number of jobs to be processed on parallel machines. Each job requires a set of tools, but limited number of tools are available in the system due to economic restrictions. The problem is to assign the jobs and the required tools to machines and to determine the schedule so that the makespan is minimised. Three constraint programming models are developed and compared with existing methods described in the literature.

Suggested Citation

  • Burak Gökgür & Brahim Hnich & Selin Özpeynirci, 2018. "Parallel machine scheduling with tool loading: a constraint programming approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5541-5557, August.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:16:p:5541-5557
    DOI: 10.1080/00207543.2017.1421781
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    Cited by:

    1. Wei Jiang & Yilan Shen & Lingxuan Liu & Xiancong Zhao & Leyuan Shi, 2022. "A new method for a class of parallel batch machine scheduling problem," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 518-550, June.
    2. Calmels, Dorothea, 2022. "An iterated local search procedure for the job sequencing and tool switching problem with non-identical parallel machines," European Journal of Operational Research, Elsevier, vol. 297(1), pages 66-85.
    3. Soares, Leonardo Cabral R. & Carvalho, Marco Antonio M., 2020. "Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 285(3), pages 955-964.
    4. David Sacramento & Christine Solnon & David Pisinger, 2020. "Constraint Programming and Local Search Heuristic: a Matheuristic Approach for Routing and Scheduling Feeder Vessels in Multi-terminal Ports," SN Operations Research Forum, Springer, vol. 1(4), pages 1-33, December.
    5. Dang, Quang-Vinh & van Diessen, Thijs & Martagan, Tugce & Adan, Ivo, 2021. "A matheuristic for parallel machine scheduling with tool replacements," European Journal of Operational Research, Elsevier, vol. 291(2), pages 640-660.
    6. Ferreira, Cristiane & Figueira, Gonçalo & Amorim, Pedro, 2021. "Scheduling Human-Robot Teams in collaborative working cells," International Journal of Production Economics, Elsevier, vol. 235(C).

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