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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Vydané v:PloS one Ročník 12; číslo 5; s. e0177104
Hlavní autori: Yun, Lifen, Wang, Xifu, Fan, Hongqiang, Li, Xiaopeng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 09.05.2017
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
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Shrnutí: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.
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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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0177104