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Tabu Search methods for scheduling a burn-in oven with non-identical job sizes and secondary resource constraints

Author

Listed:
  • Chandra Sen Mazumdar
  • M. Mathirajan
  • R. Gopinath
  • A.I. Sivakumar

Abstract

In this paper, we consider the problem of scheduling semiconductor burn-in operation, where the burn-in oven is modelled as a batch processing machine. In this study, both oven capacity and the number of boards available are taken as constraints. The objective measure of the problem is minimising the total completion time of all jobs. The computational difficulty in getting optimal solution is shown empirically. Since the problem under study is NP-hard, two variants of Tabu Search method are proposed. A series of computational experiments show that the proposed variants of Tabu Search method outperforms the existing heuristic for most system configurations in very meagre CPU times on P4 machine.

Suggested Citation

  • 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.
  • Handle: RePEc:ids:ijores:v:3:y:2008:i:1/2:p:119-139
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    Citations

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    Cited by:

    1. Ying-Mei Tu, 2021. "Short-Term Scheduling Model of Cluster Tool in Wafer Fabrication," Mathematics, MDPI, vol. 9(9), pages 1-13, May.
    2. Hadi Mokhtari & Amir Noroozi, 2018. "An efficient chaotic based PSO for earliness/tardiness optimization in a batch processing flow shop scheduling problem," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1063-1081, June.
    3. 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.
    4. 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.

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