A Practical Approach to the Scheduling of Manufacturing System Using Fuzzy Optimization Technique(Computation and Computational Models)

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概要

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• This paper presents a fuzzy optimization based scheduling method for the manufacturing systems with uncertain production capacities. To address the uncertainties efficiently, the fuzzy optimization technique is used in defining the scheduling problem. Based on the symmetric approach of fuzzy optimization and Lagrangian relaxation technique, a practical fuzzy-optimization based algorithm is developed. The computational experiments based on the real factory data demonstrate that the proposed method provides robust scheduling to hedge against uncertainties.

• 社団法人電子情報通信学会の論文
• 2005-12-01

著者

• WOO Kwang

  School of Electrical & Mechanical Engineering, and Automation Technology Research Institute, Yonsei

• Woo Kwang

  School Of Electrical & Mechanical Yonsei University

• Park Seung

  Knowledge Informatization Research Center Yonsei University

関連論文

• Colored Timed Petri-Nets Modeling and Job Scheduling Using GA of Semiconductor Manufacturing
• A Practical Approach to the Scheduling of Manufacturing System Using Fuzzy Optimization Technique(Computation and Computational Models)

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