Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34100
Title: Development of a genetic algorithm for scheduling products with a multi-level structure
Authors: Chen, KJ
Ji, P 
Issue Date: 2007
Source: International journal of advanced manufacturing technology, 2007, v. 33, no. 11-12, p. 1229-1236
Abstract: This paper develops a genetic algorithm for scheduling products with a multi-level structure. The proposed approach explicitly considers due dates of products, operation sequences among items, and capacity constraints of the manufacturing system. The objective of the approach is to seek the minimum cost of both production idle time and tardiness or earliness penalty of an order. A representative example is illustrated to compare the GA-based approach with mixed integer programming (MIP). The results demonstrate that the suggested approach is satisfactory in producing effective schedules.
Keywords: Genetic algorithm
Heuristics
Scheduling
Publisher: Springer
Journal: International journal of advanced manufacturing technology 
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s00170-006-0561-z
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Aug 28, 2020

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Sep 19, 2020

Page view(s)

145
Last Week
1
Last month
Citations as of Sep 14, 2020

Google ScholarTM

Check

Altmetric


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