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Reliable Facility Location Problem with Facility Protection

This paper studies a reliable facility location problem with facility protection that aims to hedge against random facility disruptions by both strategically protecting some facilities and using backup facilities for the demands. An Integer Programming model is proposed for this problem, in which th...

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Detalles Bibliográficos
Autores principales: Tang, Luohao, Zhu, Cheng, Lin, Zaili, Shi, Jianmai, Zhang, Weiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008800/
https://www.ncbi.nlm.nih.gov/pubmed/27583542
http://dx.doi.org/10.1371/journal.pone.0161532
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author Tang, Luohao
Zhu, Cheng
Lin, Zaili
Shi, Jianmai
Zhang, Weiming
author_facet Tang, Luohao
Zhu, Cheng
Lin, Zaili
Shi, Jianmai
Zhang, Weiming
author_sort Tang, Luohao
collection PubMed
description This paper studies a reliable facility location problem with facility protection that aims to hedge against random facility disruptions by both strategically protecting some facilities and using backup facilities for the demands. An Integer Programming model is proposed for this problem, in which the failure probabilities of facilities are site-specific. A solution approach combining Lagrangian Relaxation and local search is proposed and is demonstrated to be both effective and efficient based on computational experiments on random numerical examples with 49, 88, 150 and 263 nodes in the network. A real case study for a 100-city network in Hunan province, China, is presented, based on which the properties of the model are discussed and some managerial insights are analyzed.
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spelling pubmed-50088002016-09-27 Reliable Facility Location Problem with Facility Protection Tang, Luohao Zhu, Cheng Lin, Zaili Shi, Jianmai Zhang, Weiming PLoS One Research Article This paper studies a reliable facility location problem with facility protection that aims to hedge against random facility disruptions by both strategically protecting some facilities and using backup facilities for the demands. An Integer Programming model is proposed for this problem, in which the failure probabilities of facilities are site-specific. A solution approach combining Lagrangian Relaxation and local search is proposed and is demonstrated to be both effective and efficient based on computational experiments on random numerical examples with 49, 88, 150 and 263 nodes in the network. A real case study for a 100-city network in Hunan province, China, is presented, based on which the properties of the model are discussed and some managerial insights are analyzed. Public Library of Science 2016-09-01 /pmc/articles/PMC5008800/ /pubmed/27583542 http://dx.doi.org/10.1371/journal.pone.0161532 Text en © 2016 Tang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tang, Luohao
Zhu, Cheng
Lin, Zaili
Shi, Jianmai
Zhang, Weiming
Reliable Facility Location Problem with Facility Protection
title Reliable Facility Location Problem with Facility Protection
title_full Reliable Facility Location Problem with Facility Protection
title_fullStr Reliable Facility Location Problem with Facility Protection
title_full_unstemmed Reliable Facility Location Problem with Facility Protection
title_short Reliable Facility Location Problem with Facility Protection
title_sort reliable facility location problem with facility protection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008800/
https://www.ncbi.nlm.nih.gov/pubmed/27583542
http://dx.doi.org/10.1371/journal.pone.0161532
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