2015
DOI: 10.1016/j.eswa.2014.11.068
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Estimating available supermarket commodities for food bank collection in the absence of information

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Cited by 33 publications
(24 citation statements)
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“…Moreover, food banks have usually limited economic resources for transportation and storage of foods. The biggest challenge for food banks are predicting their food supplies, which impair their ability to transport, store, and distribute donated foods cost efficiently (Brock and Davis, 2015). Moreover, to ensure a wholesome diet for their clients the food banks often need to purchase complementary foods.…”
Section: Food Donations-resilience and Novel It Solutionsmentioning
confidence: 99%
“…Moreover, food banks have usually limited economic resources for transportation and storage of foods. The biggest challenge for food banks are predicting their food supplies, which impair their ability to transport, store, and distribute donated foods cost efficiently (Brock and Davis, 2015). Moreover, to ensure a wholesome diet for their clients the food banks often need to purchase complementary foods.…”
Section: Food Donations-resilience and Novel It Solutionsmentioning
confidence: 99%
“…A significant function of humanitarian organizations is providing aid (i.e., relief items or supply) during natural disasters. Aid can take the form of food (Wang 2013;Brock and Davis 2015) or non-food items like medical supplies or money (Ülkü et al 2015; Özpolat et al 2015). Many of the papers have focused on demand forecasting (Van der Laan et al 2016;Law et al 2019;Kim et al 2019;Singh et al 2006;Sarhani and El Afia 2014;Syntetos et al 2016).…”
Section: Humanitarian Donation Predictionmentioning
confidence: 99%
“…A logistic regression model was developed to predict whether a person will donate or not to a humanitarian agency during natural disasters. Brock and Davis (2015) used neural network models to forecast inkind donations from retail donors for a food bank. Nuamah et al (2015) have developed a state-space based simulation model for exponential smoothing to determine the expected quantity of food donations received per month in a multi-warehouse distribution network.…”
Section: Introductionmentioning
confidence: 99%