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首页> 外文期刊>Journal of modelling in management >A new weighted fuzzy programming model for supplier selection and order allocation in the food industry
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A new weighted fuzzy programming model for supplier selection and order allocation in the food industry

机译:食品工业中供应商选择和订单分配的新加权模糊编程模型

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摘要

Purpose - The purpose of this paper is to develop a combined intuitionistic fuzzy analytic hierarchy process (IFAHP) and fuzzy multi-objective optimization approach to select suppliers and allocate the orders to them in the bottled water production context.Design/methodology/approach - First, the primary weights of criteria associated with the supplier selection problem are calculated using the IFAHP technique. Then a fuzzy multi-objective optimization model is developed to allocate the appropriate amount of orders to each supplier. Findings - The proposed methodology has been successfully implemented in the case of an Iranian food company in its bottled water factory. Results demonstrate our model is capable of practically handling the uncertainty in DMs' preference that leads to effective and efficient supplier selection and order allocation decisions. Originality/value - The authors develop a novel hybrid decision-making tool to tackle the uncertainty in decision-makers' opinions with a demonstrated applicability and some promising outcomes in efficiently allocating the order quantity to suppliers in the area of bottled water production.
机译:目的 - 本文的目的是开发一个组合的直觉模糊分析层次结构(IFAHP)和模糊多目标优化方法,可以选择供应商,并将订单分配给瓶装水生产上下文中的订单.Design/methodology/appach - 首先,使用IFAHP技术计算与供应商选择问题相关的主要权重。然后开发了一种模糊的多目标优化模型来为每个供应商分配适量的订单。调查结果 - 在其瓶装水厂的伊朗食品公司的情况下成功实施了拟议的方法。结果展示了我们的模型能够实际处理DMS偏好中的不确定性,从而导致有效高效的供应商选择和订单分配决策。原创性/价值 - 作者开发了一种新的混合决策工具,以解决决策者的意见,以证明适用性和一些有希望的结果,以便有效地将订单数量分配给瓶装水生产领域的供应商。

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