大数据服务商参与下供应链联合减排的动态协调策略
作者:
作者单位:

北京科技大学 东凌经济管理学院 北京 100083

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中图分类号:

F270

基金项目:

碳交易机制下基于契约的闭环供应链决策研究,国家自然科学基金项目(面上项目,重点项目,重大项目);京津冀生鲜农产品协同物流视角下的技术创新、环境规制和经济效益研究


Dynamic Coordination Strategy of Joint Emission Reduction in Supply Chain Involving Big Data Service Provider
Author:
Affiliation:

Donlinks 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,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了理论依据.

    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 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 provider.

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历史
  • 收稿日期:2019-11-10
  • 最后修改日期:2021-01-24
  • 录用日期:2020-03-18
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