The DOI matches its Crossref record.
What you should know about location modeling
Abstract
Facility location models have been applied to problems in the public and private sectors for years. In this article, the author first presents a taxonomy of location problems based on the underlying space in which the problem is embedded. The article illustrates problems from each part of the taxonomy with an emphasis on discrete location problems. Selected recent research in the area is also discussed. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008
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Citations
Cited by
Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal
Frade, I., Ribeiro, A., Gonçalves, G., & Antunes, A. P. (2011) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2252-12 · Cited by 437
Riemann, R., Wang, D. Z. W., & Busch, F. (2015) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2015.06.022 · Cited by 265
Tactical network planning for food aid distribution in Kenya
Rancourt, M.-È., Cordeau, J.-F., Laporte, G., & Watkins, B. (2015) · Computers & Operations Research · doi:10.1016/j.cor.2014.10.018 · Cited by 81
Predictive and Prescriptive Analytics for Location Selection of Add‐on Retail Products
Huang, T., Bergman, D., & Gopal, R. (2019) · Production and Operations Management · doi:10.1111/poms.13018 · Cited by 44
Metadata
- Authors
- Daskin, M. S.
- Venue
- Naval Research Logistics (NRL)
- Publisher
- Wiley
- Published
- 2008-03-28
- Volume
- 55
- Issue
- 4
- Pages
- 283-294
- ISSN
- 0894-069X (ISSN-L)
- 1520-6750
- OpenAlex
- W2007998644
- Cited by
- 252
- References
- 0
- FWCI
- 17.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: What you should know about location modeling. https://app.cochat.ai/papers/10.1002/nav.20284
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- Daskin, M. S. (2008). What you should know about location modeling. Naval Research Logistics (NRL). https://doi.org/10.1002/nav.20284
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
