A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions

In the Two-Dimensional Multiple Stock Size Cutting Stock Problem with Variable Dimensions (2D MSSCSP-VD) one wishes to fulfill the demand for a set of two-dimensional items out of a set of stock sheets, each of which has dimensions that may vary in some given range, at minimum cost. Research is scar...

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Autores:
Ramírez Ramos, Mauricio Adolfo
Tipo de recurso:
Fecha de publicación:
2010
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/11284
Acceso en línea:
http://hdl.handle.net/1992/11284
Palabra clave:
Administración de la producción
Control de la producción
Programación dinámica
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Medaglia González, Andrésvirtual::14666-1Ramírez Ramos, Mauricio Adolfo61d118ed-22df-4584-9e7e-fc5b7773660e6002018-09-28T07:52:14Z2018-09-28T07:52:14Z2010http://hdl.handle.net/1992/11284u429831.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/In the Two-Dimensional Multiple Stock Size Cutting Stock Problem with Variable Dimensions (2D MSSCSP-VD) one wishes to fulfill the demand for a set of two-dimensional items out of a set of stock sheets, each of which has dimensions that may vary in some given range, at minimum cost. Research is scarce on Cutting Stock problems involving variable dimensions so we propose a heuristic to tackle this problem based on existing column generation and dynamic programming strategies. To evaluate its flexibility and the quality of its solutions we test it on a wide range of instances both from the literature and designed by us. The computational experiments show that not only does the approach produce solutions of excellent quality, but also that it is flexible and outperforms other heuristics for related problems that can be reduced to the 2D MSSCSP-VD, such as the 2D MSSCSP and 2D SSSCSP.Magíster en Ingeniería IndustrialMaestría28 hojasapplication/pdfengUniandesMaestría en Ingeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería Industrialinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaA column generation based heuristic for two-dimensional cutting stock problems with variable dimensionsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMAdministración de la producciónControl de la producciónProgramación dinámicaIngenieríaPublicationhttps://scholar.google.es/citations?user=L29kExQAAAAJvirtual::14666-10000-0003-1529-0322virtual::14666-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000220981virtual::14666-1a6afe9d4-d385-4df6-9085-db7ad5b1cdb9virtual::14666-1a6afe9d4-d385-4df6-9085-db7ad5b1cdb9virtual::14666-1TEXTu429831.pdf.txtu429831.pdf.txtExtracted texttext/plain82278https://repositorio.uniandes.edu.co/bitstreams/f737628c-32cf-4950-a1fa-4dec3aaa6279/download2a4f459759418c3bb6e6e2dc616e4444MD54ORIGINALu429831.pdfapplication/pdf606303https://repositorio.uniandes.edu.co/bitstreams/053e8f00-0fd5-49bf-a38a-77b04fdf37e4/downloadab6f2cb17709d8ba65a7758d609d123fMD51THUMBNAILu429831.pdf.jpgu429831.pdf.jpgIM Thumbnailimage/jpeg7811https://repositorio.uniandes.edu.co/bitstreams/9ee3ee16-c13c-4362-b258-07e99d546185/download593a749f82c0eb2b0cbd31a883dc80b3MD551992/11284oai:repositorio.uniandes.edu.co:1992/112842024-05-15 10:30:21.467https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.es_CO.fl_str_mv A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
title A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
spellingShingle A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
Administración de la producción
Control de la producción
Programación dinámica
Ingeniería
title_short A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
title_full A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
title_fullStr A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
title_full_unstemmed A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
title_sort A column generation based heuristic for two-dimensional cutting stock problems with variable dimensions
dc.creator.fl_str_mv Ramírez Ramos, Mauricio Adolfo
dc.contributor.advisor.none.fl_str_mv Medaglia González, Andrés
dc.contributor.author.none.fl_str_mv Ramírez Ramos, Mauricio Adolfo
dc.subject.keyword.es_CO.fl_str_mv Administración de la producción
Control de la producción
Programación dinámica
topic Administración de la producción
Control de la producción
Programación dinámica
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description In the Two-Dimensional Multiple Stock Size Cutting Stock Problem with Variable Dimensions (2D MSSCSP-VD) one wishes to fulfill the demand for a set of two-dimensional items out of a set of stock sheets, each of which has dimensions that may vary in some given range, at minimum cost. Research is scarce on Cutting Stock problems involving variable dimensions so we propose a heuristic to tackle this problem based on existing column generation and dynamic programming strategies. To evaluate its flexibility and the quality of its solutions we test it on a wide range of instances both from the literature and designed by us. The computational experiments show that not only does the approach produce solutions of excellent quality, but also that it is flexible and outperforms other heuristics for related problems that can be reduced to the 2D MSSCSP-VD, such as the 2D MSSCSP and 2D SSSCSP.
publishDate 2010
dc.date.issued.none.fl_str_mv 2010
dc.date.accessioned.none.fl_str_mv 2018-09-28T07:52:14Z
dc.date.available.none.fl_str_mv 2018-09-28T07:52:14Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
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dc.language.iso.es_CO.fl_str_mv eng
language eng
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dc.format.extent.es_CO.fl_str_mv 28 hojas
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dc.publisher.es_CO.fl_str_mv Uniandes
dc.publisher.program.es_CO.fl_str_mv Maestría en Ingeniería Industrial
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Industrial
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