Decision support models for managing food aid supply chains: A systematic literature review
We review existing decision support models (including statistical, simulation, and
optimization models) aimed at addressing chronic food insecurity issue by enhancing the …
optimization models) aimed at addressing chronic food insecurity issue by enhancing the …
Predicting and optimizing the fair allocation of donations in hunger relief supply chains
Non-profit hunger relief organizations primarily depend on donors' benevolence to help
alleviate hunger in their communities. However, the quantity and frequency of donations …
alleviate hunger in their communities. However, the quantity and frequency of donations …
An ensemble forecasting model for predicting contribution of food donors based on supply behavior
Food banks are nonprofit hunger relief organizations that collect donations from donors and
distribute food to local agencies that serve people in need. Donors consist of local …
distribute food to local agencies that serve people in need. Donors consist of local …
Resiliency within the socio-ecological system of a large food bank network: preparing, mitigating, responding, and recovering from hurricane florence
The network of a food bank consists of a complex web of entities. The entities may include
the warehouses and charitable agencies. A food bank relies on the smooth interactions …
the warehouses and charitable agencies. A food bank relies on the smooth interactions …
[PDF][PDF] Predicting food donor contribution behavior using support vector regression
Hunger and food insecurity are present in each American county. Government and non-
government organizations are working to address food insecurity in the United States. Food …
government organizations are working to address food insecurity in the United States. Food …
Anomaly detection with machine learning technique to support smart logistics
Accurate planning and cost-effective management on product delivery are among key
factors leading to the success of most manufacturing sectors in the current era of the fourth …
factors leading to the success of most manufacturing sectors in the current era of the fourth …
Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts
Our goal in this work is to build effective yet robust models to predict unreliable and
inconsistent in-kind donations at both weekly and monthly levels for two food banks across …
inconsistent in-kind donations at both weekly and monthly levels for two food banks across …
Harnessing Artificial Intelligence to Improve Food Assistance: A Sco** Review of Machine Learning Tools
Background: Machine learning has revolutionized situational awareness during disaster
management by classifying, clustering, and predicting impacted locations and people …
management by classifying, clustering, and predicting impacted locations and people …
Predicting farms' donations to food banks using the analytic hierarchical process and dempster Shafer theory
K Kyei, A Esterline, J Mason - 2020 SoutheastCon, 2020 - ieeexplore.ieee.org
We present an analysis of factors contributing to the annual level of donation of sweet
potatoes in 2010-2016 to a North Carolina food bank. Our approach follows that of Su et al …
potatoes in 2010-2016 to a North Carolina food bank. Our approach follows that of Su et al …
[PDF][PDF] Food donation data analysis using computational data science
Food insecurity is one of the significant issues faced by most countries, including the US. In
the US, federal and local governments and many non-profit organizations put effort into …
the US, federal and local governments and many non-profit organizations put effort into …