Tactical network planning for food aid distribution in Kenya
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ML can reduce waste along food supply chains.
“As detailed in Section 5, ML can reduce waste along these chains; we emphasize that for adaptation, it is important that supply chains also be made robust to unexpected disruptions [203,568,639,665].”
From Tackling climate change with machine learning (2023) · cites this paper as [665]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Rancourt, M.-È., Cordeau, J.-F., Laporte, G., & Watkins, B.
- Affiliations
- Université du Québec à Montréal (CA)
- HEC Montréal (CA)
- Corresponding author
- Rancourt, Marie-Ève
- Venue
- Computers & Operations Research
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 56
- Pages
- 68-83
- ISSN
- 0305-0548 (ISSN-L)
- OpenAlex
- W2067522992
- Cited by
- 81
- References
- 66
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 7 · 2023: 12 · 2022: 9 · 2021: 11 · 2020: 11 · 2019: 8 · 2018: 4 · 2017: 6 · 2016: 3 · 2015: 2 · 2014: 1
- FWCI
- 8.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Operations Research (publishedVersion)
- Funders
- Canadian Natural Sciences and Engineering Research Council (03945-14, 39682-10, 227837-09)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Facility Location and Emergency Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Physical Sciences › Engineering › Building and Construction › Urban and Freight Transport Logistics
- Keywords
- food aid distribution, last-mile delivery, distribution center location, covering problems, food insecurity, drought, needs assessment, stakeholder well-being, road network, Garissa, Kenya, World Food Programme
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