Manager’s Preferences Modeling within Multi-Criteria Flowshop Scheduling Problem: A Metaheuristic Approach

Mohamed Anis Allouche ()
Additional contact information
Mohamed Anis Allouche: Universite of south, Tunisia

International Journal of Business Research and Management (IJBRM), 2010, vol. 1, issue 2, 33-45

Abstract: This paper proposes a metaheuristic to solve the permutation flow shop scheduling problem where several criteria are to be considered, such as: the makespan, total flowtime and total tardiness of jobs. The proposed metaheuristic is based on tabu search algorithm. The Compromise Programming model and the concept of satisfaction functions are utilized to integrate explicitly the Manager’s preferences. The proposed approach has been tested through a computational experiment. This approach can be useful for large scale scheduling problems and the Manager can consider additional scheduling criteria.

Keywords: Permutation flowshop; Multi-Criteria Scheduling; Compromise Programming; Satisfaction Functions; Manager’s Preferences (search for similar items in EconPapers)
JEL-codes: M0 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.cscjournals.org/manuscript/Journals/IJBRM/Volume1/Issue2/IJBRM-8.pdf (application/pdf)
https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJBRM-8 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aml:intbrm:v:1:y:2010:i:2:p:33-45

Access Statistics for this article

International Journal of Business Research and Management (IJBRM) is currently edited by Dr. Mattei Cristofaro

More articles in International Journal of Business Research and Management (IJBRM) from Computer Science Journals (CSC Journals)
Bibliographic data for series maintained by Nabeel Tahir ().