A PageRank-based heuristic for the minimization of open stacks problem.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/11341 https://doi.org/10.1371/journal.pone.0203076 |
Resumo: | The minimization of open stacks problem (MOSP) aims to determine the ideal production sequence to optimize the occupation of physical space in manufacturing settings. Most of current methods for solving the MOSP were not designed to work with large instances, precluding their use in specific cases of similar modeling problems. We therefore propose a PageRank-based heuristic to solve large instances modeled in graphs. In computational experiments, both data from the literature and new datasets up to 25 times fold larger in input size than current datasets, totaling 1330 instances, were analyzed to compare the proposed heuristic with state-of-the-art methods. The results showed the competitiveness of the proposed heuristic in terms of quality, as it found optimal solutions in several cases, and in terms of shorter run times compared with the fastest available method. Furthermore, based on specific graph densities, we found that the difference in the value of solutions between methods was small, thus justifying the use of the fastest method. The proposed heuristic is scalable and is more affected by graph density than by size. |
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Frinhani, Rafael de Magalhães DiasCarvalho, Marco Antonio Moreira deSoma, Nei Yoshihiro2019-05-17T14:50:17Z2019-05-17T14:50:17Z2018FRINHANI, R. de M. D.; CARVALHO, M. A. M. de; SOMA, N. Y. A PageRank-based heuristic for the minimization of open stacks problem. PLoS ONE, v. 13, n. 8, p. 1-24, 2018. Disponível em: <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0203076>. Acesso em: 19 mar. 2019.1545-7885http://www.repositorio.ufop.br/handle/123456789/11341https://doi.org/10.1371/journal.pone.0203076The minimization of open stacks problem (MOSP) aims to determine the ideal production sequence to optimize the occupation of physical space in manufacturing settings. Most of current methods for solving the MOSP were not designed to work with large instances, precluding their use in specific cases of similar modeling problems. We therefore propose a PageRank-based heuristic to solve large instances modeled in graphs. In computational experiments, both data from the literature and new datasets up to 25 times fold larger in input size than current datasets, totaling 1330 instances, were analyzed to compare the proposed heuristic with state-of-the-art methods. The results showed the competitiveness of the proposed heuristic in terms of quality, as it found optimal solutions in several cases, and in terms of shorter run times compared with the fastest available method. Furthermore, based on specific graph densities, we found that the difference in the value of solutions between methods was small, thus justifying the use of the fastest method. The proposed heuristic is scalable and is more affected by graph density than by size.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Fonte: o próprio artigoinfo:eu-repo/semantics/openAccessA PageRank-based heuristic for the minimization of open stacks problem.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-8924http://www.repositorio.ufop.br/bitstream/123456789/11341/2/license.txt62604f8d955274beb56c80ce1ee5dcaeMD52ORIGINALARTIGO_PageRankBased.pdfARTIGO_PageRankBased.pdfapplication/pdf5699123http://www.repositorio.ufop.br/bitstream/123456789/11341/1/ARTIGO_PageRankBased.pdff11d0cb52ff33fbc2f173b9c7b7b5821MD51123456789/113412019-05-17 10:50:17.619oai:localhost: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ório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-05-17T14:50:17Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
A PageRank-based heuristic for the minimization of open stacks problem. |
title |
A PageRank-based heuristic for the minimization of open stacks problem. |
spellingShingle |
A PageRank-based heuristic for the minimization of open stacks problem. Frinhani, Rafael de Magalhães Dias |
title_short |
A PageRank-based heuristic for the minimization of open stacks problem. |
title_full |
A PageRank-based heuristic for the minimization of open stacks problem. |
title_fullStr |
A PageRank-based heuristic for the minimization of open stacks problem. |
title_full_unstemmed |
A PageRank-based heuristic for the minimization of open stacks problem. |
title_sort |
A PageRank-based heuristic for the minimization of open stacks problem. |
author |
Frinhani, Rafael de Magalhães Dias |
author_facet |
Frinhani, Rafael de Magalhães Dias Carvalho, Marco Antonio Moreira de Soma, Nei Yoshihiro |
author_role |
author |
author2 |
Carvalho, Marco Antonio Moreira de Soma, Nei Yoshihiro |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Frinhani, Rafael de Magalhães Dias Carvalho, Marco Antonio Moreira de Soma, Nei Yoshihiro |
description |
The minimization of open stacks problem (MOSP) aims to determine the ideal production sequence to optimize the occupation of physical space in manufacturing settings. Most of current methods for solving the MOSP were not designed to work with large instances, precluding their use in specific cases of similar modeling problems. We therefore propose a PageRank-based heuristic to solve large instances modeled in graphs. In computational experiments, both data from the literature and new datasets up to 25 times fold larger in input size than current datasets, totaling 1330 instances, were analyzed to compare the proposed heuristic with state-of-the-art methods. The results showed the competitiveness of the proposed heuristic in terms of quality, as it found optimal solutions in several cases, and in terms of shorter run times compared with the fastest available method. Furthermore, based on specific graph densities, we found that the difference in the value of solutions between methods was small, thus justifying the use of the fastest method. The proposed heuristic is scalable and is more affected by graph density than by size. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2019-05-17T14:50:17Z |
dc.date.available.fl_str_mv |
2019-05-17T14:50:17Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
FRINHANI, R. de M. D.; CARVALHO, M. A. M. de; SOMA, N. Y. A PageRank-based heuristic for the minimization of open stacks problem. PLoS ONE, v. 13, n. 8, p. 1-24, 2018. Disponível em: <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0203076>. Acesso em: 19 mar. 2019. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/11341 |
dc.identifier.issn.none.fl_str_mv |
1545-7885 |
dc.identifier.doi.pt_BR.fl_str_mv |
https://doi.org/10.1371/journal.pone.0203076 |
identifier_str_mv |
FRINHANI, R. de M. D.; CARVALHO, M. A. M. de; SOMA, N. Y. A PageRank-based heuristic for the minimization of open stacks problem. PLoS ONE, v. 13, n. 8, p. 1-24, 2018. Disponível em: <https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0203076>. Acesso em: 19 mar. 2019. 1545-7885 |
url |
http://www.repositorio.ufop.br/handle/123456789/11341 https://doi.org/10.1371/journal.pone.0203076 |
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eng |
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