NDLI: Formulation of fuzzy flowshop scheduling problems with fuzzy processing time

Content Provider	IEEE Xplore Digital Library
Author	Ishibuchi, H. Murata, T. Kyu Hung Lee
Copyright Year	1996
Description	Author affiliation: Dept. of Ind. Eng., Osaka Prefecture Univ., Japan (Ishibuchi, H.)
Abstract	First we explain how to calculate the completion time of each job in fuzzy flowshop scheduling, where the processing time of each job at each machine is given by a fuzzy number. For calculating the completion time, we use fuzzy arithmetic on fuzzy numbers. Next we explain how scheduling criteria (e.g., makespan, maximum delay and total delay) can be defined in our fuzzy flowshop scheduling problems. Because the processing time is given as a fuzzy number these scheduling criteria are also calculated as fuzzy numbers. Then we define the concept of non-dominated solutions based on an inequality relation between fuzzy numbers. Using a small size example, we illustrate that a fuzzy flowshop scheduling problem with a single scheduling criterion has multiple non-dominated solutions. Finally we suggest the use of a multi-objective genetic algorithm as a heuristic method for large size fuzzy flowshop scheduling problems.
Starting Page	199
Ending Page	205
File Size	549067
Page Count	7
File Format	PDF
ISBN	0780336453
DOI	10.1109/FUZZY.1996.551742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Delay Shape Arithmetic Industrial engineering Genetic algorithms
Content Type	Text
Resource Type	Article

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