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Metaheuristics for scheduling jobs with incompatible families on parallel batching machines

Author

Listed:
  • C Almeder

    (Vienna University of Economics and Business)

  • L Mönch

    (University of Hagen)

Abstract

In this paper, we discuss the scheduling of jobs with incompatible families on parallel batching machines. The performance measure is total weighted tardiness. This research is motivated by a scheduling problem found in the diffusion and oxidation areas of semiconductor wafer fabrication where the machines can be modelled as parallel batch processors. Given that this scheduling problem is NP-hard, we suggest an ant colony optimization (ACO) and a variable neighbourhood search (VNS) approach. Both metaheuristics are hybridized with a decomposition heuristic and a local search scheme. We compare the performance of the two algorithms with that of a genetic algorithm (GA) based on extensive computational experiments. The VNS approach outperforms the ACO and GA approach with respect to time and solution quality.

Suggested Citation

  • C Almeder & L Mönch, 2011. "Metaheuristics for scheduling jobs with incompatible families on parallel batching machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2083-2096, December.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:12:d:10.1057_jors.2010.186
    DOI: 10.1057/jors.2010.186
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    References listed on IDEAS

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    6. Chandra Sen Mazumdar & M. Mathirajan & R. Gopinath & A.I. Sivakumar, 2008. "Tabu Search methods for scheduling a burn-in oven with non-identical job sizes and secondary resource constraints," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(1/2), pages 119-139.
    7. Ribeiro, Celso C. & Aloise, Daniel & Noronha, Thiago F. & Rocha, Caroline & Urrutia, Sebastián, 2008. "An efficient implementation of a VNS/ILS heuristic for a real-life car sequencing problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 596-611, December.
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    Cited by:

    1. Jianxin Fang & Brenda Cheang & Andrew Lim, 2023. "Problems and Solution Methods of Machine Scheduling in Semiconductor Manufacturing Operations: A Survey," Sustainability, MDPI, vol. 15(17), pages 1-44, August.
    2. Bin Ji & Xin Xiao & Samson S. Yu & Guohua Wu, 2023. "A Hybrid Large Neighborhood Search Method for Minimizing Makespan on Unrelated Parallel Batch Processing Machines with Incompatible Job Families," Sustainability, MDPI, vol. 15(5), pages 1-25, February.
    3. Eduardo Queiroga & Rian G. S. Pinheiro & Quentin Christ & Anand Subramanian & Artur A. Pessoa, 2021. "Iterated local search for single machine total weighted tardiness batch scheduling," Journal of Heuristics, Springer, vol. 27(3), pages 353-438, June.
    4. Fowler, John W. & Mönch, Lars, 2022. "A survey of scheduling with parallel batch (p-batch) processing," European Journal of Operational Research, Elsevier, vol. 298(1), pages 1-24.

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