Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8581
Title: Real-time GA-based rescheduling approach for the pre-sewing stage of an apparel manufacturing process
Authors: Wong, WK 
Leung, SYS 
Au, KF
Keywords: Apparel manufacture
Genetic algorithms
Rescheduling
Issue Date: 2005
Publisher: Springer London Ltd
Source: International journal of advanced manufacturing technology, 2005, v. 25, no. 1-2, p. 180-188 How to cite?
Journal: International Journal of Advanced Manufacturing Technology 
Abstract: In this paper, a real-time segmentation rescheduling (RSR) approach using genetic algorithms to handle the production planning and scheduling problem in dynamic apparel manufacturing environment is proposed. Experiments based on the actual production data were conducted to validate the performance of the RSR approach. The experimental results indicated that the makespan and the influence caused by the change of schedule could be minimised.
URI: http://hdl.handle.net/10397/8581
ISSN: 0268-3768
DOI: 10.1007/s00170-003-1819-3
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

9
Last Week
0
Last month
0
Citations as of Jul 13, 2017

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Jul 18, 2017

Page view(s)

26
Last Week
2
Last month
Checked on Jul 9, 2017

Google ScholarTM

Check

Altmetric



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