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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Veröffentlicht in:PloS one Jg. 12; H. 5; S. e0177104
Hauptverfasser: Yun, Lifen, Wang, Xifu, Fan, Hongqiang, Li, Xiaopeng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 09.05.2017
Public Library of Science (PLoS)
Schlagworte:
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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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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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