NDLI: Using HGA to solve E/T scheduling problems with fuzzy processing time and fuzzy due date

Content Provider	IEEE Xplore Digital Library
Author	Zhao-Qiang Geng Yi-Ren Zou
Copyright Year	2000
Description	Author affiliation: Inst. of Autom., Acad. Sinica, Beijing, China (Zhao-Qiang Geng)
Abstract	This paper considers fuzzy single machine and flow shop earliness/tardiness scheduling problems with fuzzy processing time and fuzzy due date. Fuzzy processing time is denoted by a triangular fuzzy number and fuzzy due date is denoted by a trapezoid fuzzy number. We formulate two kinds of scheduling model of single machine and flow shop scheduling problems. When solving the first kind of model with exact processing time and fuzzy due date, we take minimum earliness/tardiness penalty as optimized object and use hybrid genetic algorithm to search the optimal scheduling sequence. As for single machine model, we still adopt heuristic rule to get optimum common due date. When solving the second kind of model with both fuzzy processing time and fuzzy due date, the maximum average agreement index according to fuzzy completion time and fuzzy due date is considered as optimized object. Some numerical examples are given to illustrate the effectiveness and feasibility of our proposed algorithm.
Sponsorship	Raytheon
Starting Page	1161
Ending Page	1166
File Size	349389
Page Count	6
File Format	PDF
ISBN	0780370872
ISSN	1062922X
DOI	10.1109/ICSMC.2001.973076
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimal scheduling Job shop scheduling Single machine scheduling Genetic algorithms Processor scheduling Automation Mathematical model Mathematics Computer integrated manufacturing Artificial intelligence
Content Type	Text
Resource Type	Article

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