Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25113
Title: The state of the art in simulation study on FMS scheduling : a comprehensive survey
Authors: Chan, FTS 
Chan, HK
Lau, HCW
Keywords: Artificial intelligence (AI)
Flexible manufacturing systems
Multi-criteria
Scheduling
Simulation
Issue Date: 2002
Publisher: Springer
Source: International journal of advanced manufacturing technology, 2002, v. 19, no. 11, p. 830-849 How to cite?
Journal: International journal of advanced manufacturing technology 
Abstract: Scheduling of flexible manufacturing systems (FMSs) has been one of the most attractive areas for both researchers and practitioners. A considerable body of literature has accumulated in this area since the late 1970s when the first batch of papers was published. A number of approaches have been adopted to schedule FMSs, including simulation techniques and analytical methods. Numerous articles can be found on each of these approaches. This paper reviews scheduling studies of FMSs which employ simulation techniques as an analysis tool, since simulation is the most widely used tool for modelling FMSs. Scheduling methodologies are categorised into simulation of general scheduling studies, multi-criteria scheduling approaches, and artificial intelligence (AI) approaches in FMSs. Comments on the publications, and suggestions for further research and development are given.
URI: http://hdl.handle.net/10397/25113
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s001700200095
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

52
Last Week
0
Last month
0
Citations as of Aug 14, 2017

WEB OF SCIENCETM
Citations

39
Last Week
0
Last month
0
Citations as of Aug 14, 2017

Page view(s)

29
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.