A multi-period optimization model for medicine supply chains using modified interactive multi-objective fuzzy programming

C. Sugapriya , D. Nagarajan , V.M. Gobinath , V. Kuppulakshmi
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Abstract

The research on multi-period optimization using modified interactive multi-objective fuzzy programming for product complaints in pharmaceutical supply chains is new and evolving. This study proposes and develops an integrated multi-period, multi-objective medicine supply chain model in healthcare. The study considers an unknown number of drug manufacturer complaints. The business triad is a term used to describe the combination of the three objectives: time, quality, and cost. The process starts with developing a mathematical model for the business triad. A modified interactive multi-objective fuzzy programming is then proposed for the optimization of the business triad, has been proposed. The proposed method blends expert opinion and experience using fuzzy linguistic variables and a triangle membership function. A numerical example demonstrates the practical application of the proposed model. This study considers a model for fuzzy inventory pharmaceutical products with a two-tier supply chain. This supply chain model aids healthcare decision-makers in acquiring medications that meet the necessary time, quality, and cost standards.

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基于改进交互式多目标模糊规划的药品供应链多周期优化模型
基于改进交互式多目标模糊规划的药品供应链产品投诉多周期优化研究是一个新兴的研究方向。本研究提出并发展医疗保健领域多周期、多目标的一体化药品供应链模型。该研究考虑了数量不详的药品制造商投诉。业务三元组是一个术语,用于描述三个目标的组合:时间、质量和成本。这个过程始于为业务三元组开发一个数学模型。在此基础上,提出了一种改进的交互式多目标模糊规划方法,用于业务三元组的优化。该方法利用模糊语言变量和三角隶属函数将专家意见和经验相结合。数值算例说明了该模型的实际应用。本文研究了具有两层供应链的药品模糊库存模型。该供应链模型帮助医疗保健决策者获取符合必要时间、质量和成本标准的药物。
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