Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
A multi-objective production scheduling case study solved by simulated annealing
European Journal of Operational Research, Volume 179, No. 3, Year 2007
Notification
URL copied to clipboard!
Description
During several decades, research in production scheduling mainly concerns a single criterion to optimize. However, the analysis of the performance of a schedule often involves more than one aspect and therefore requires multi-objective analysis. Such situation appears in the real case study considered here. This paper deals with a production scheduling problem in a flexible (or hybrid) job-shop with particular constraints: batch production; existence of two steps: production of several sub-products followed by the assembly of the final product; possible overlaps for the processing periods of two successive operations of a same job. At the end of the production step, different objectives should be considered simultaneously, among the makespan, the mean completion time, the maximal tardiness, the mean tardiness. The research is based on a real case study, concerning a Tunisian firm. We propose a multi-objective simulated annealing approach to tackle this problem and to propose to the manager an approximation of the set of efficient schedules. Several numerical results are reported. © 2005.
Authors & Co-Authors
Loukil, Taïcir Moalla
Tunisia, Sfax
University of Sfax
Teghem, Jacques
Belgium, Mons
Université de Mons - Faculté Polytechnique de Mons
Fortemps, Philippe
Belgium, Mons
Université de Mons - Faculté Polytechnique de Mons
Statistics
Citations: 115
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1016/j.ejor.2005.03.073
ISSN:
03772217
Study Design
Case Study
Study Approach
Qualitative