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Extensions for the optimization of processes in the textile industry

Grant number: 12/20773-1
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Start date: March 01, 2013
End date: May 31, 2013
Field of knowledge:Engineering - Production Engineering - Operational Research
Principal Investigator:Reinaldo Morabito Neto
Grantee:Victor Claudio Bento de Camargo
Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
Associated research grant:10/10133-0 - Cutting, packing, lot-sizing and scheduling problems and their integration in industrial and logistics settings, AP.TEM

Abstract

The Brazilian textile supply chain is very important for the economy as it generates employment and increases regional development. This project proposes to study the production planning problem in a spinning industry. Planning the spinning implies the sizing and sequencing of the yarn production lots. Moreover, the blending of the cotton bales is a fundamental problem to guarantee the quality of the produced yarns. The aim of this project is to study some specificities of the production environment of a spinning industry. Extensions and reformulations for the models presented in the literature are proposed. In addition, the solution method HOPS (Hamming-Oriented Partition Search) can be adapted to deal with the new models. As project results, the models will be more realistic and liable to be applicable in practice, besides enriching the production planning literature.

News published in Agência FAPESP Newsletter about the scholarship:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CAMARGO, VICTOR C. B.; TOLEDO, FRANKLINA M. B.; ALMADA-LOBO, BERNARDO. HOPS - Hamming-Oriented Partition Search production planning in the spinning industry. European Journal of Operational Research, v. 234, n. 1, p. 266-277, . (12/20773-1, 08/09953-2)