Paper Info
Title
Fuzzy distributed two-stage hybrid flow shop scheduling problem with setup time: collaborative variable search.
Abstract
Distributed scheduling has attracted much attention in multiple factories. However, uncertainties are often neglected in the previous works and this neglecting may result in the low value of the obtained schedule. In this study, fuzzy distributed scheduling is addressed in two-stage hybrid flow shop with sequence-dependent setup times(SDST) which is a frequently studied constraint in single factory and seldom handled in multiple factories. A collaborative variable search (CVS) is proposed to optimize total agreement index and fuzzy makespan simultaneously. Seven neighborhood structures and two global search operators are used in two cooperated variable search parts to generate high quality solutions. Experiments are conducted and the computational results reveal that CVS has promising advantages on the considered fuzzy distributed scheduling problem.
Year
DOI
Venue
2020
10.3233/JIFS-191175
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
collaborative variable search,fuzzy scheduling,distributed scheduling,two-stage hybrid flow shop,sequence-dependent setup times
Journal
38
Issue
ISSN
Citations 
SP3.0
1064-1246
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jingcao Cai1123.15
Rui Zhou200.34
De-ming Lei317618.60