Institute for Research in Technology IIT, ICAI, Universidad Pontificia Comillas, 28015 Madrid, Spain.
INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal.
Int J Environ Res Public Health. 2020 Nov 3;17(21):8097. doi: 10.3390/ijerph17218097.
This work proposes a mathematical linear programming model that addresses the food provisioning problem of the food bank of Madrid. It aims to determine the most appropriate weekly decisions to meet the macro-nutritional requirements of the beneficiaries of this social service, by minimizing the total cost considering third-party donations. The model has been applied to a realistic case study considering a sociological structure of beneficiaries categorized by age and gender and representing the first decile of incomes of the Spanish population. The demand of macronutrients is satisfied by means of nine different groups of food, used to provide some level of variability in the consumption patterns of the beneficiaries. The results provide insight on cost-cutting opportunities related to centralizing the decision-making process, indicating a 10% reduction both in provisioning costs and food quantities. This suggests that the proposed model might serve as a tool for designing new strategies for the provisioning or evaluation of economic and social support policies for the food bank of Madrid.
本工作提出了一个数学线性规划模型，用于解决马德里食品银行的食品供应问题。该模型旨在通过考虑第三方捐赠来最小化总成本，确定每周最适合的决策，以满足该社会服务受益人的宏观营养需求。该模型已应用于一个现实案例研究，考虑了按年龄和性别分类的受益人的社会学结构，并代表了西班牙人口收入的十分之一。通过使用九组不同的食物来满足宏量营养素的需求，为受益人的消费模式提供了一定程度的变化。结果提供了与集中决策过程相关的成本削减机会的见解，表明在供应成本和食品数量方面都降低了 10%。这表明，所提出的模型可以作为设计马德里食品银行供应策略或评估经济和社会支持政策的工具。
