Solving a Bi-Criteria Hybrid Flowshop Scheduling Problem Occurring in Apparel Manufacturing

Jairo R. Montoya-Torres and Fabián Vargas-Nieto
Additional contact information
Jairo R. Montoya-Torres: Universidad de La Sabana, Colombia
Fabián Vargas-Nieto: Finotex S.A., Colombia

International Journal of Information Systems and Supply Chain Management (IJISSCM), 2011, vol. 4, issue 2, 42-60

Abstract: This paper studies the problem of production scheduling in a company belonging to the apparel industry, where textile labels are manufactured through the process of thermal transfer. The problem is modelled as a flexible flowshop with two stages. The objectives are the maximisation of system productivity (or minimisation of makespan) and the minimisation of the number of production orders with late delivery. This paper proposes a scheduling procedure based on a bi-objective genetic algorithm. An experimental study was performed using real data from the enterprise. Since validation results showed the efficiency and effectiveness of the proposed procedure, a decision-aid tool is designed. The algorithm is implemented at the enterprise and allows improved key performance metrics.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/jisscm.2011040103 (application/pdf)

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:igg:jisscm:v:4:y:2011:i:2:p:42-60

Access Statistics for this article

International Journal of Information Systems and Supply Chain Management (IJISSCM) is currently edited by John Wang

More articles in International Journal of Information Systems and Supply Chain Management (IJISSCM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().