Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

Feizar Javier Rueda-Velasco, W. Adarme-Jaimes, Angélica Garzón-Luna, Jhonatan Marroquín-Ávila, Gabriel Parada-Caro
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引用次数: 3

Abstract

The evaluation of the strategic supply chain configuration is considered one of the strategic logistics decisions, especially in food assistance supply chains focused on generating better nutritional conditions in vulnerable populations. In Colombia, there is a social program called Bienestarina, which aims to promote food and nutritional security in a vulnerable population. Although the government supports the program for improving nutritional support, there are currently inconsistencies in freight flows, lack of coverage in some areas, and delivery delays. Therefore, this work aims to evaluate the current configuration of the supply chain and propose improvements related to the facility location. Such advances would enable the increase in the efficacy of the network and the reduction of malnutrition in the country. For this purpose, a mixed-integer mathematical programming model is presented, which considers the weighted distance criterion for different demand scenarios and supports the location-allocation decision in a social assistance supply chain. The current network configuration was compared with the optimal proposed structure. The comparisons show highly potential improvements in freight flow allocation, suggests several variations in the existing warehouses emplacement, and generates public policy implications to reduce the logistic cost in the system, prioritizing in turn the demand covering.
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对食品援助供应链的设施位置进行评估。哥伦比亚的Bienestarina病例
战略供应链配置的评估被认为是战略物流决策之一,特别是在粮食援助供应链中,重点是为弱势群体创造更好的营养条件。在哥伦比亚,有一个名为Bienestarina的社会项目,旨在促进弱势群体的粮食和营养安全。虽然政府支持改善营养支持的计划,但目前货运流不一致,一些地区缺乏覆盖,交货延迟。因此,这项工作旨在评估供应链的当前配置,并提出与设施位置相关的改进建议。这种进步将有助于提高该网络的效力,减少该国的营养不良现象。为此,提出了一种混合整数数学规划模型,该模型考虑了不同需求情景下的加权距离准则,支持社会救助供应链中的位置分配决策。将当前网络结构与优化后的网络结构进行了比较。比较结果显示货运流量分配极有可能得到改善,表明现有仓库位置的若干变化,并产生公共政策影响,以减少系统内的物流成本,从而优先考虑需求。
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