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

Li-chih Wang (), Chen-yang Cheng, Tzu-li Chen, Yin-yann Chen and Chung-chun Wang
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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

Chapter Chapter 21 in Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 2013, pp 201-212 from Springer

Abstract: 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.

Keywords: Hybrid flow shop scheduling; Genetic algorithm; Solar cell industry (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33012-4_21

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DOI: 10.1007/978-3-642-33012-4_21

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