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Modeling for Efficient Assignment of Multiple Distribution Centers for the Equitable and Effective Distribution of Donated Food

机译:用于高效分配多个分配中心的建模,用于捐赠食物的公平有效分布

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Food insecurity affects more than 41 million people annually in the United States. Within the Feeding America network, approximately 200 food banks are working throughout the US to serve people in need with donated food. Satisfying hunger need of food insecure people with limited supply is a challenge for these food banks. A numerical study is performed on data from Food Bank of Central and Eastern North Carolina (FBCENC) to capture the major attributes controlling its food distribution system. FBCENC seeks to distribute donated food equitably so that each service area (county) receives food proportional to its demand while minimizing the undistributed food donations. In addition to seeking equitable and effective food distribution policies, FBCENC wants to identify distribution branches to maximize the accessibility of the counties to donated food. An assignment and distribution model is developed to minimize the cost of maintaining a user-specified cap on the maximum inequity in food distribution. A sensitivity analysis between the user-specified maximum inequity cap and effectiveness shows the effectiveness of donated food distribution can be improved significantly by sacrificing equitable distribution slightly.
机译:粮食不安全在美国每年患上4100万人。在饲养的美国网络中,大约200个粮食银行在整个美国工作,为需要捐赠的食物服务。满足饥饿的食物需求不安全,供应有限的人是这些食物银行的挑战。对中央和东部Carolina(FBCCENC)食品银行(FBCCENC)的数据进行了数值研究,以捕捉控制其食品分配系统的主要属性。 FBCENC致力于公平地分配捐赠的食品,使每个服务区(县)接受与其需求成正比的食物,同时最小化未分配的粮食捐赠。除了寻求公平和有效的食品分配政策外,FBCENC还希望识别分销分支,以最大限度地提高县的捐赠食物的可达性。开发了一个分配和分配模型,以最大限度地减少维护用户指定章程的成本,以在食品分布的最大不公平中。用户指定的最大不平等帽和有效性之间的灵敏度分析表明,通过略微牺牲公平分布,可以显着提高捐赠食品分布的有效性。

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