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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

HOPS - Hamming-Oriented Partition Search production planning in the spinning industry

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Author(s):
Camargo, Victor C. B. [1, 2] ; Toledo, Franklina M. B. [1] ; Almada-Lobo, Bernardo [2]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Inst Ciencias Matemat & Computac, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Porto, INESC TEC, Fac Engn, P-4200465 Oporto - Portugal
Total Affiliations: 2
Document type: Journal article
Source: European Journal of Operational Research; v. 234, n. 1, p. 266-277, APR 1 2014.
Web of Science Citations: 13
Abstract

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. (AU)

FAPESP's process: 12/20773-1 - Extensions for the optimization of processes in the textile industry
Grantee:Victor Claudio Bento de Camargo
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 08/09953-2 - Optimization of process in textile industry: models and solution methods
Grantee:Victor Claudio Bento de Camargo
Support Opportunities: Scholarships in Brazil - Doctorate