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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >A fuzzy bi-objective MILP approach to integrate sales, production, distribution and procurement planning in a FMCG supply chain
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A fuzzy bi-objective MILP approach to integrate sales, production, distribution and procurement planning in a FMCG supply chain

机译:一种模糊的双目标MILP方法,可以在FMCG供应链中整合销售,生产,分销和采购规划

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摘要

Sales and operations are the heart of today's businesses, and the decisions made in these areas will intensively affect the financial performance, operational efficiency and service level of the whole organization. This manuscript is going to develop three multiobjective fuzzy mixed integer linear programming models of sales and operations planning process. Then, the performance of the fully integrated fuzzy model is compared to the similar crisp model, in terms of total supply chain's cost and customer service level. All the models are developed for a multisite manufacturing company, which is coping with different raw material suppliers and third-party logistics, distribution centers and customers with a wide range of product families. Finally, the models are applied to a real case in a FMCG manufacturing company in Iran. The final results approve the superiority of the fuzzy model over the crisp one. Furthermore, a sensitivity analysis is carried out to analyze the effect of some key factors on the benefits of the SC planning integration.
机译:销售和运营是当今业务的核心,这些领域的决定将集中影响整个组织的财务绩效,运营效率和服务水平。此手稿将开发三种多目标模糊混合整数线性编程模型的销售和运营规划过程。然后,在总供应链的成本和客户服务水平方面,将完全集成模糊模型的性能与类似的清晰模型进行比较。所有型号都是为多路制造公司开发的,该公司正在应对不同的原材料供应商和第三方物流,配电中心和客户提供各种产品系列。最后,该模型应用于伊朗的FMCG制造公司的实际情况。最终结果批准了模糊模型在清脆体内的优势。此外,进行了灵敏度分析,以分析了一些关键因素对SC规划集成益处的影响。

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