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首页> 外文会议>2014 IEEE workshop on advanced research and technology in industry applications >A fuzzy random bi-level programming model for three-stage supply chain with dual coordination mechanism
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A fuzzy random bi-level programming model for three-stage supply chain with dual coordination mechanism

机译：具有双重协调机制的三级供应链模糊随机双层规划模型

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摘要

Based on part of the research results of uncertainty theory, this paper, under two conditions of fuzzy random demand and random rate, respectively in-depth investigated the coordination model of three-stage supply chain which dominated by manufacturer and consisted by supplier, manufacturer and retailer. In this paper, we established the optimal strategy model and compiled the hybrid intelligent algorithm to solve this model, using the fuzzy random simulation and enumeration method to find out manufacturer's optimal order quantity, optimal production and optimal R&D investment; supplier's optimal production, optimal participation rates as well as the corresponding profits; retailer's optimal order quantity and the corresponding profit. We get conclusions that when manufacturer and supplier collaboratively research and develop as well as give quantity discounts for retailer, the production volume of supplier and manufacturer has basically reached the upper limit, indicating that production resources are rationally utilized, the optimal value of R&D investment also decline and the participation of supplier plays a role in the promotion of R&D efficiency. This research provides a more scientific decision-making tool for export-oriented enterprises to develop optimal strategies of procurement, production and marketing under the uncertain environment.
机译：基于不确定性理论的部分研究成果，本文在模糊随机需求和随机率两个条件下，分别深入研究了由制造商主导，由供应商，制造商和制造商组成的三级供应链的协调模型。零售商。本文建立了最优策略模型，并采用混合智能算法对该模型进行求解，采用模糊随机仿真和枚举的方法，找出制造商的最优订单量，最优生产量和最优研发投入。供应商的最优生产，最优参与率以及相应的利润；零售商的最佳订单数量和相应的利润。我们得出的结论是，当制造商和供应商共同研发并为零售商提供数量折扣时，供应商和制造商的生产量已基本达到上限，这表明生产资源得到合理利用，R＆D投资的最优价值也得到了体现。下降，供应商的参与在提高研发效率中发挥了作用。该研究为出口型企业在不确定环境下制定最优的采购，生产和销售策略提供了更科学的决策工具。

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