A practical approach to the scheduling of manufacturing system using fuzzy optimization technique

被引：0
|
作者：
Park, SK [1 ]
Woo, KB
机构：
[1] Yonsei Univ, Knowledge Informatizat Res Ctr, Seoul 120749, South Korea
[2] Yonsei Univ, Sch Elect & Mech, Seoul 120749, South Korea
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2005年 / E88D卷 / 12期
关键词：
scheduling; fuzzy optimization; Lagrangian relaxation; manufacturing systems;
D O I：
10.1093/ietisy/e88-d.12.2871
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2871 / 2875
页数：5
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