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

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

Jairo R. Montoya-Torres (Universidad de La Sabana, Colombia) and Fabián Vargas-Nieto (Finotex S.A., Colombia)
DOI: 10.4018/jisscm.2011040103
OnDemand PDF Download:
$30.00
List Price: $37.50

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.
Article Preview

Problem Statement

Thermal transfer labels industry has experienced an enormous growth in the past decade in Colombia. The Colombian apparel market is demanding every day labels with more variable information, such as size, style, references, descriptions, barcodes, etc. In addition, it is also claiming for a smaller minimum order quantity in production orders that allow the apparel companies request the exact label amount they need. Many times label amount that clients need is not bigger than 500 units per reference, which makes difficult its manufacturing through traditional label production processes: woven label and flexographic printed label processes.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 10: 4 Issues (2017)
Volume 9: 4 Issues (2016)
Volume 8: 4 Issues (2015)
Volume 7: 4 Issues (2014)
Volume 6: 4 Issues (2013)
Volume 5: 4 Issues (2012)
Volume 4: 4 Issues (2011)
Volume 3: 4 Issues (2010)
Volume 2: 4 Issues (2009)
Volume 1: 4 Issues (2008)
View Complete Journal Contents Listing