Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 234, Issue 1, Pages 266-277Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2013.10.017
Keywords
Matheuristic; Lot-sizing and scheduling problems; Textile industry; Mixed integer programming
Funding
- FAPESP [2008/09953-2, 2012/20773-1]
- CNPq from Brazil [300713/2010-0]
- CAPES from Brail [BEX-1545/11-6]
- FP7-PEOPLE-IRSES Project [246881]
- European Commission
- ERDF through the Programme COMPETE
- Portuguese Government through FCT - Foundation for Science and Technology [PTDC/EGE-GES/117692/2010]
- Fundação para a Ciência e a Tecnologia [PTDC/EGE-GES/117692/2010] Funding Source: FCT
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In this paper, we investigate a two-stage lot-sizing and scheduling problem in a spinning industry. A new hybrid method called HOPS (Hamming-Oriented Partition Search), which is a branch-and-bound based procedure that incorporates a fix-and-optimize improvement method is proposed to solve the problem. An innovative partition choice for the fix-and-optimize is developed. The computational tests with generated instances based on real data show that HOPS is a good alternative for solving mixed integer problems with recognized partitions such as the lot-sizing and scheduling problem. (C) 2013 Elsevier B.V. All rights reserved.
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