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Meta-heuristic algorithms for wafer sorting scheduling problems

Author

Listed:
  • Shih-Wei Lin

    (Chang Gung University)

  • Zne-Jung Lee

    (Huafan University)

  • Kuo-Ching Ying

    (National Taipei University of Technology)

  • Rong-Ho Lin

    (National Taipei University of Technology)

Abstract

Wafer sorting is usually regarded as the most critical stage in the whole wafer probing process. This paper discusses the wafer sorting scheduling problem (WSSP) with total setup time minimization as the primary criterion and the minimization of the number of machines used as the secondary criterion. Although the need to consider multiple criteria in real-world WSSPs is widely recognized, the present study is the first attempt to investigate this argument with setups consideration. In view of the strongly NP-hard nature of this problem, three meta-heuristic algorithms—an ant colony system algorithm, a Genetic algorithm, and a Tabu search algorithm are proposed. The proposed meta-heuristics are empirically evaluated by 480 simulation instances based on the characteristics of a real wafer testing shop-floor and found to be very effective in terms of finding good quality solutions.

Suggested Citation

  • Shih-Wei Lin & Zne-Jung Lee & Kuo-Ching Ying & Rong-Ho Lin, 2011. "Meta-heuristic algorithms for wafer sorting scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 165-174, January.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.182
    DOI: 10.1057/jors.2009.182
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    References listed on IDEAS

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    Cited by:

    1. Allahverdi, Ali, 2015. "The third comprehensive survey on scheduling problems with setup times/costs," European Journal of Operational Research, Elsevier, vol. 246(2), pages 345-378.
    2. Hyun Joong Yoon & Junjae Chae, 2019. "Simulation Study for Semiconductor Manufacturing System: Dispatching Policies for a Wafer Test Facility," Sustainability, MDPI, vol. 11(4), pages 1-21, February.
    3. Gaby Pinto & Yariv Ben-Dov & Gad Rabinowitz, 2013. "Formulating and solving a multi-mode resource-collaboration and constrained scheduling problem (MRCCSP)," Annals of Operations Research, Springer, vol. 206(1), pages 311-339, July.
    4. 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.

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