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首页> 外文期刊>Journal of Industrial Engineering and Management >Assembly of customized food pantries in a food bank by fuzzy optimization
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Assembly of customized food pantries in a food bank by fuzzy optimization

机译:通过模糊优化在食物库中组装定制的食品储藏室

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Purpose: The contribution of this research is to propose a new problem of linear-mixed programming model (LMPM) for the allocation-packing of multiple pantries personalized for Food Banks (FB) considering the opinion of the Decision Maker (DM) in the selection of the best solution.Design/methodology/approach: A food allocation-packing system is modeled as a mixed integer problem (MIP) and a fuzzy mixed integer linear problem (FMILP). 250 families and 100 products were considered. The solutions were found using Lingo 13? (for both deterministic and fuzzy model). To select a good solution in the fuzzy model, this research adapted an interactive method proposed in the literature. The relevance of this modification is that the opinion of a decision maker (DM) is included and considered.Findings: The results for the deterministic and fuzzy model are compared in terms of their accomplishment of the restrictions (mainly nutritional and logistic) and the time needed to achieve a solution.Research limitations/implications: This paper was done considering quantity, weight and volume restrictions so that the pantry will contain a variety of products; it is not considered how the products will be stored into the pantry.Practical implications: This research proposes an alternative food management system at a food bank. The proposed system organizes the content of customized food pantries by the bias of a food allocation model.Social implications: Our paper analyzes a Food Bank (FB) in México. With this proposal, food will be distributed to families in poverty considering their particular nutritional needs.Originality/value: The main contribution of this article lies in the proposal of a new model of mixed integer linear problem (MILP) for the allocation-packing of food, solved with fuzzy possibilistic programming that simultaneously considers nutritional and logistic restrictions applied to a type of organization that has been little studied in the literature and where the opinion of Decision Maker (DM) is very important in the operational decisions involved in the Food Supply Chain (FSC) of a Food Bank (FB).
机译:目的:这项研究的目的是提出一个新的线性混合编程模型(LMPM)问题,用于针对食品银行(FB)个性化的多个食品储藏室的分配包装,在选择时应考虑决策者(DM)的意见设计/方法/方法:将食物分配包装系统建模为混合整数问题(MIP)和模糊混合整数线性问题(FMILP)。考虑了250个家庭和100种产品。解决方案是使用Lingo 13找到的? (对于确定性模型和模糊模型)。为了在模糊模型中选择一个好的解决方案,本研究采用了文献中提出的一种交互式方法。此修改的相关性是包括并考虑了决策者(DM)的意见。发现:比较确定性和模糊模型的结果,以其完成限制(主要是营养和后勤)和时间的方式进行比较研究的局限性/含义:完成本文时要考虑数量,重量和体积的限制,以便食品储藏室可以容纳各种产品。实用意义:这项研究提出了一种在食品银行的替代食品管理系统。所提出的系统通过一种食物分配模型来组织定制食物储藏室的内容。社会意义:本文分析了墨西哥的食物银行(FB)。通过此建议,将考虑到贫困家庭的特殊营养需求,向他们分发食物。原创性/价值:本文的主要贡献在于提出了一种新的混合整数线性问题模型(MILP),用于人口分配分配。食品,通过模糊可能性编程解决,同时考虑营养和后勤限制,这些营养限制适用于文献中很少研究的组织类型,并且决策者(DM)的意见在食品供应中涉及的运营决策中非常重要食物银行(FB)的连锁店(FSC)。

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