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

COMPARISON OF MIP MODELS FOR THE INTEGRATED LOT-SIZING AND ONE-DIMENSIONAL CUTTING STOCK PROBLEM

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Author(s):
Gislaine Mara Melega [1] ; Silvio Alexandre de Araujo [2] ; Raf Jans [3]
Total Authors: 3
Affiliation:
[1] Universidade Estadual Paulista. IBILCE. Departamento de Matemática Aplicada - Brasil
[2] Universidade Estadual Paulista. IBILCE. Departamento de Matemática Aplicada - Brasil
[3] HEC Montréal - Canadá
Total Affiliations: 3
Document type: Journal article
Source: Pesquisa Operacional; v. 36, n. 1, p. 167-196, 2016-04-00.
Abstract

ABSTRACT Production processes comprising both the lot-sizing problem and the cutting stock problem are frequent in various industrial sectors. However these problems are usually treated separately, which can generates suboptimal overall solution and consequently causes production losses. In this paper, we propose different mathematical models for the integrated problem combining alternative models for the lot-sizing and the cutting stock problem, in order to evaluate and indicate the impact of these changes on the models' performance. An extensive computational study is done using randomly generated data and as a solution strategy we used a commercial optimization package and the application of a column generation technique. (AU)

FAPESP's process: 12/20631-2 - The Integrated Lot Sizing and Cutting Stock Problem
Grantee:Gislaine Mara Melega
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 14/17273-2 - Solution methods for the Integrated lot sizing and cutting stock problem
Grantee:Gislaine Mara Melega
Support type: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 14/01203-5 - Integrated lot sizing problems and related problems
Grantee:Silvio Alexandre de Araujo
Support type: Regular Research Grants