The Research and Application of a Dynamic Dispatching Rule Selection Approach Based on BPSO-SVM for Semiconductor Production Line

Kuo Tian (), Yu-min Ma and Fei Qiao
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Kuo Tian: Tongji University
Yu-min Ma: Tongji University
Fei Qiao: Tongji University

Chapter Chapter 47 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 487-495 from Springer

Abstract: Abstract Reasonable choice of scheduling strategies to optimize the process of production scheduling is an effective way to improve the economic benefit and market competitiveness of manufacturing enterprises. This paper proposes a BPSO-SVM-based dynamic scheduling rule selection approach for semiconductor production line. This approach combines with feature selection algorithm based on semiconductor production attributes and dispatching rule classification algorithm. It finds appropriate feature subsets and SVM parameters by feature selection algorithm and finds real-time optimal scheduling rules effectively under one better performance according to the status of the production line in a SVM classification model by classification algorithm. Finally, the approach is verified on Mini-fab, a typical model of semiconductor production line.

Keywords: BPSO; Dynamic scheduling; Feature selection; Parameters optimization; SVM (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37270-4_47

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DOI: 10.1007/978-3-642-37270-4_47

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