A reliable facility location design model with site-dependent disruption in the imperfect information context

This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a unique disruption probability that varies across the space. In the imperfect information contexts, customers adopt a realistic "trial-an...

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Vydáno v:	PloS one Ročník 12; číslo 5; s. e0177104
Hlavní autoři:	Yun, Lifen, Wang, Xifu, Fan, Hongqiang, Li, Xiaopeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 09.05.2017 Public Library of Science (PLoS)
Témata:	Communication Costs and Cost Analysis Customer services Decision making Design Disruption Earth Sciences Ecology and Environmental Sciences Engineering and Technology Environmental engineering Facilities management Facility Design and Construction - economics Industrial location Integer programming Medicine and Health Sciences Methods Modelling Models, Theoretical Operations research People and Places Production planning Research and Analysis Methods Seismic engineering Sensors Social Sciences Traffic congestion Beijing China United States > US China
ISSN:	1932-6203, 1932-6203
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Abstract	This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a unique disruption probability that varies across the space. In the imperfect information contexts, customers adopt a realistic "trial-and-error" strategy to visit facilities; i.e., they visit a number of pre-assigned facilities sequentially until they arrive at the first operational facility or give up looking for the service. This proposed model aims to balance initial facility investment and expected long-term operational cost by finding the optimal facility locations. A nonlinear integer programming model is proposed to describe this problem. We apply a linearization technique to reduce the difficulty of solving the proposed model. A number of problem instances are studied to illustrate the performance of the proposed model. The results indicate that our proposed model can reveal a number of interesting insights into the facility location design with site-dependent disruptions, including the benefit of backup facilities and system robustness against variation of the loss-of-service penalty.
AbstractList	This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a unique disruption probability that varies across the space. In the imperfect information contexts, customers adopt a realistic "trial-and-error" strategy to visit facilities; i.e., they visit a number of pre-assigned facilities sequentially until they arrive at the first operational facility or give up looking for the service. This proposed model aims to balance initial facility investment and expected long-term operational cost by finding the optimal facility locations. A nonlinear integer programming model is proposed to describe this problem. We apply a linearization technique to reduce the difficulty of solving the proposed model. A number of problem instances are studied to illustrate the performance of the proposed model. The results indicate that our proposed model can reveal a number of interesting insights into the facility location design with site-dependent disruptions, including the benefit of backup facilities and system robustness against variation of the loss-of-service penalty. This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a unique disruption probability that varies across the space. In the imperfect information contexts, customers adopt a realistic "trial-and-error" strategy to visit facilities; i.e., they visit a number of pre-assigned facilities sequentially until they arrive at the first operational facility or give up looking for the service. This proposed model aims to balance initial facility investment and expected long-term operational cost by finding the optimal facility locations. A nonlinear integer programming model is proposed to describe this problem. We apply a linearization technique to reduce the difficulty of solving the proposed model. A number of problem instances are studied to illustrate the performance of the proposed model. The results indicate that our proposed model can reveal a number of interesting insights into the facility location design with site-dependent disruptions, including the benefit of backup facilities and system robustness against variation of the loss-of-service penalty.This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a unique disruption probability that varies across the space. In the imperfect information contexts, customers adopt a realistic "trial-and-error" strategy to visit facilities; i.e., they visit a number of pre-assigned facilities sequentially until they arrive at the first operational facility or give up looking for the service. This proposed model aims to balance initial facility investment and expected long-term operational cost by finding the optimal facility locations. A nonlinear integer programming model is proposed to describe this problem. We apply a linearization technique to reduce the difficulty of solving the proposed model. A number of problem instances are studied to illustrate the performance of the proposed model. The results indicate that our proposed model can reveal a number of interesting insights into the facility location design with site-dependent disruptions, including the benefit of backup facilities and system robustness against variation of the loss-of-service penalty.
Audience	Academic
Author	Yun, Lifen Li, Xiaopeng Fan, Hongqiang Wang, Xifu
AuthorAffiliation	2 School of Modern Post, Beijing University of Posts and Telecommunications, Beijing, China 3 Department of Civil and Environmental Engineering, University of South Florida, Tampa, United States of America Beihang University, CHINA 1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/28486564$$D View this record in MEDLINE/PubMed
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CitedBy_id	crossref_primary_10_1016_j_jclepro_2022_130433 crossref_primary_10_1016_j_procs_2017_12_084 crossref_primary_10_1016_j_tre_2019_101825 crossref_primary_10_1016_j_trb_2021_02_009 crossref_primary_10_1016_j_tre_2022_102866 crossref_primary_10_1080_23302674_2023_2208276
Cites_doi	10.1007/BF00122429 10.1287/trsc.1040.0107 10.1287/opre.1120.1082 10.1111/j.1540-5915.2009.00253.x 10.1016/j.trb.2011.04.004 10.1061/(ASCE)0733-9496(2006)132:4(218) 10.3390/en8021468 10.1016/j.cor.2005.03.002 10.1016/j.trb.2014.10.010 10.1287/opre.1040.0140 10.1504/IJCIS.2004.003799 10.1063/1.4797191 10.1631/jzus.A1200137 10.1016/j.omega.2008.05.006 10.1109/JPROC.2006.887290 10.1287/opre.1090.0801 10.1016/j.tre.2015.07.006 10.1287/trsc.37.1.40.12823 10.1023/A:1020763400324 10.1016/j.trb.2013.03.002 10.1007/978-1-4612-5355-6 10.1016/j.trb.2015.11.009 10.1016/j.trb.2010.04.005 10.1016/j.tre.2016.09.009 10.1016/j.tre.2014.06.008 10.3141/1804-28
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceptualization: LY XW HF.Data curation: LY HF.Formal analysis: LY XW HF.Funding acquisition: LY XL.Investigation: LY HF.Methodology: LY XW HF.Project administration: LY.Resources: LY XW.Software: LY HF.Supervision: LY XW.Validation: LY XW HF.Visualization: LY XW HF XL.Writing – original draft: LY.Writing – review & editing: LY XW HF XL. Competing Interests: The authors have declared that no competing interests exist.
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Snippet	This paper proposes a reliable facility location design model under imperfect information with site-dependent disruptions; i.e., each facility is subject to a...
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SubjectTerms	Communication Costs and Cost Analysis Customer services Decision making Design Disruption Earth Sciences Ecology and Environmental Sciences Engineering and Technology Environmental engineering Facilities management Facility Design and Construction - economics Industrial location Integer programming Medicine and Health Sciences Methods Modelling Models, Theoretical Operations research People and Places Production planning Research and Analysis Methods Seismic engineering Sensors Social Sciences Traffic congestion
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Title	A reliable facility location design model with site-dependent disruption in the imperfect information context
URI	https://www.ncbi.nlm.nih.gov/pubmed/28486564 https://www.proquest.com/docview/1896843065 https://www.proquest.com/docview/1899793233 https://pubmed.ncbi.nlm.nih.gov/PMC5423640 https://doaj.org/article/37bc303b3d584dc3af6366cc0cde8fb5 http://dx.doi.org/10.1371/journal.pone.0177104
Volume	12
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