Modeling for the equitable and effective distribution of donated food under capacity constraints

By Irem Sengul Orgut, Julie S. Ivy, Reha Uzsoy, James R. Wilson. 2016

104 citations recorded by the source corpus.

Abstract Mathematical models are presented and analyzed to facilitate a food bank's equitable and effective distribution of donated food among a population at risk for hunger. Typically exceeding the donated supply, demand is proportional to the poverty population within the food bank's service area. The food bank seeks to ensure a perfectly equitable distribution of food; i.e., each county in the service area should receive a food allocation that is exactly proportional to the county's demand such that no county is at a disadvantage compared to any other county. This objective often conflicts with the goal of maximizing effectiveness by minimizing the amount of undistributed food. Deterministic network-flow models are developed to minimize the amount of undistributed food while maintaining a user-specified upper bound on the absolute deviation of each county from a perfectly equitable distribution. An extension of this model identifies optimal policies for the allocation of additional receiving capacity to counties in the service area. A numerical study using data from a large North Carolina food bank illustrates the uses of the models. A probabilistic sensitivity analysis reveals the effect on the models' optimal solutions arising from uncertainty in the receiving capacities of the counties in the service area.

Subfields: Food Science, Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/26730309c8d305bb8418883e7bdad7aca07599d4