Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19501
Title: Optimization of system reliability in multi-factory production networks by maintenance approach
Authors: Chung, SH
Lau, HCW
Ho, GTS
Ip, WH
Keywords: Genetic algorithms
Multi-factory production
Perfect/imperfect maintenance
Production scheduling
System reliability
Issue Date: 2009
Publisher: Pergamon Press
Source: Expert systems with applications, 2009, v. 36, no. 6, p. 10188-10196 How to cite?
Journal: Expert systems with applications 
Abstract: Maintaining the reliability of a system is one of the most critical and challenging tasks for factories during production. A reliable system is not only significant for improving a system's productivity and products quality, but worth even more in multi-factory production because the failure of one entity may induce a vigorous chain reaction to the others. Maintaining the reliability in an acceptable level requires an optimal maintenance strategy and planning for each entity in the network. The objective of this paper is to propose a double tier genetic algorithm approach for multi-factory production networks, aiming to keep the system's reliability in a defined acceptable level, and minimize the makespan of the jobs. The optimization algorithm simultaneously schedules perfect and imperfect maintenance during the process of distributed scheduling. The optimization reliability of the proposed algorithm is demonstrated through three numerical examples, including its ability to maintain the system's reliability in a defined acceptable level, the relationship of the acceptance level to production scheduling, and that of the machine age reduction factors to production scheduling.
URI: http://hdl.handle.net/10397/19501
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2008.12.014
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

25
Last Week
1
Last month
0
Citations as of Nov 7, 2017

WEB OF SCIENCETM
Citations

17
Last Week
0
Last month
0
Citations as of Nov 15, 2017

Page view(s)

58
Last Week
1
Last month
Checked on Nov 12, 2017

Google ScholarTM

Check

Altmetric



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