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Robust optimization approaches for the equitable and effective distribution of donated food
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References 31 · Cited by 76
Research works printed but not linked: 21
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Metadata
- Authors
- Sengul Orgut, I., Ivy, J. S., Uzsoy, R., & Hale, C.
- Affiliations
- North Carolina State University (US)
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 269
- Issue
- 2
- Pages
- 516-531
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2793137147
- Cited by
- 76
- References
- 31
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 11 · 2023: 10 · 2022: 16 · 2021: 11 · 2020: 5 · 2019: 4 · 2018: 4
- FWCI
- 9.93
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- European Journal of Operational Research (acceptedVersion)
- Funders
- National Science Foundation (CMMI- 1000018)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Facility Location and Emergency Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Risk and Portfolio Optimization
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimization and Mathematical Programming
- Keywords
- food banks, robust optimization, equitable distribution, exact algorithms
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- Sengul Orgut, I., Ivy, J. S., Uzsoy, R., & Hale, C. (2018). Robust optimization approaches for the equitable and effective distribution of donated food. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2018.02.017