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A Multi-stage and Parallel-Machine Scheduling Problem for Solar Cell Industry

In: Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Author

Listed:
  • Li-chih Wang

    (Tunghai University)

  • Chen-yang Cheng

    (Tunghai University)

  • Tzu-li Chen

    (Fu Jen Catholic University)

  • Yin-yann Chen

    (National Formosa University)

  • Chung-chun Wang

    (Tunghai University)

Abstract

This paper studies a multi-stage and parallel-machines scheduling problem which is similar to the traditional hybrid flow shop scheduling (HFS) in the solar cell industry. The multi-stage and parallel-machines scheduling problem in the solar cell industry simultaneously determines the optimal production sequence, multiprocessor task scheduling and machine configurations through dynamically allocating all jobs to multiple machines. We formulate this problem as a mixed integer linear programming model considering the practical characteristics and constraints. A hybrid-coded genetic algorithm is developed to find a near-optimal solution. Preliminary computational study indicates that the developed algorithm not only provides good quality solutions.

Suggested Citation

  • Li-chih Wang & Chen-yang Cheng & Tzu-li Chen & Yin-yann Chen & Chung-chun Wang, 2013. "A Multi-stage and Parallel-Machine Scheduling Problem for Solar Cell Industry," Springer Books, in: Runliang Dou (ed.), Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), edition 127, chapter 0, pages 201-212, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33012-4_21
    DOI: 10.1007/978-3-642-33012-4_21
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