A Practical Approach to the Scheduling of Manufacturing System Using Fuzzy Optimization Technique

Seung Kyu PARK
Kwang Bang WOO

IEICE TRANSACTIONS on Information and Systems   Vol.E88-D    No.12    pp.2871-2875
Publication Date: 2005/12/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.12.2871
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Computation and Computational Models
scheduling,  fuzzy optimization,  Lagrangian relaxation,  manufacturing systems,  

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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.

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