大数据服务商参与下供应链联合减排的动态协调策略
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北京科技大学 经济管理学院,北京 100083

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E-mail: wang_tt926@163.com.

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F270

基金项目:

国家自然科学基金项目(71871017);北京市教委社科基金项目(SM201910037004).


Dynamic coordination strategy of joint emission reduction in supply chain involving big data service provider
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School of Economics and Management,University of Science and Technology Beijing,Beijing 100083,China

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    摘要:

    在大数据和低碳双重背景下,研究由制造商、零售商以及大数据服务商组成的三级供应链联合减排与协调问题.考虑到减排量对需求具有双重影响,构建集中式、分散式以及基于改进的双边成本分担契约下的微分博弈模型,求解并比较3种情形下供应链成员的最优均衡策略.结合算例,对部分参数进行灵敏度分析,并讨论该契约对供应链的协调效果,从而为大数据服务商参与下供应链联合减排的动态协调研究提供理论依据.

    Abstract:

    In the context of both big data and low-carbon, the joint emission reduction and coordination issues in a three-echelon supply chain comprised of a manufacturer, a retailer and a big data service provider is studied. Considering that emission reduction has a dual impact on demand, this paper constructs the differential game models of the centralized, decentralized and improved bilateral cost-sharing contract. Then the optimal equilibrium strategies of supply chain members in three cases are solved and compared. Combined with a numerical example, the sensitivity analysis of some parameters are conducted, and the coordination effect of the contract on the supply chain is discussed, which provide a theoretical basis for the joint emission reduction and dynamic coordination in the supply chain involving big data service providers.

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王婷婷,王道平,赵超.大数据服务商参与下供应链联合减排的动态协调策略[J].控制与决策,2021,36(8):2013-2022

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  • 在线发布日期: 2021-07-13
  • 出版日期: 2021-08-20
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