DocumentCode
348734
Title
On the fuzzy scheduling for flow shop jobs by using genetic algorithm
Author
Okabe, Takao ; Maeda, Mikio ; Murakami, Shuta
Author_Institution
Fac. of Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
Volume
4
fYear
1999
fDate
1999
Firstpage
528
Abstract
Deals with fuzzy scheduling for flow shop jobs. In this scheduling problem, we employ a fuzzy penalty cost function for the delay time of the deadline of a job. The evaluation of job flow (ordering) is done by evaluating some penalty costs for the jobs. To select the best job flow, a genetic algorithm is used. However, under fuzzy evaluation, its solution is not unique and fuzzy valued. Finally, the fuzzy solutions as job flows are shown in a fuzzy Gantt chart
Keywords
fuzzy set theory; genetic algorithms; production control; delay time; flow shop jobs; fuzzy Gantt chart; fuzzy penalty cost function; fuzzy scheduling; job flow; job ordering; Cost function; Delay effects; Equations; Genetic algorithms; Job shop scheduling; Manufacturing; Operations research; Processor scheduling; Production facilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.812459
Filename
812459
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