物联网环境下大数据驱动的供应链运营协调与优化研究

In the context that the next-round information technology wave is actuating the global manufacturing revolution, this research proposal focuses on the Internet-of-Things (IoT) embedded supply chains driven by Big-Data. We are planning to reveal the interacting mechanism that the IoT configurations with Big-Data analysis exert on supply cahin operations. We also intend to investigate Big-Data sharing governance mechanism and the methods for operations coordination and optimization in the Big-Data driven supply chains. The research content is consisted of five academic research topics schemed as follows: (1) A study on multi-source and heterogeneous Big-Data driven mapping model between consumers’ value judgement system and product characteristics in the Internet of Things environment; (2) Manufacturing capacities scheduling and their allocation game in the smart connected products supply chains driven by Big Data; (3)Production/Service decision-making and dynamic pricing in the Big Data Driven supply chains in Internet of Things environment; (4)Supply chain strcutures choosing and vertical incentives mechanism considering Big Data service in presence of Internet of Things; (5)Rational contract based Big Data sharing governance mechanism in the Internet-of-Things embedded supply chain. This study is expected to generate some theoretic breakthrough in this emerging field of supply chain operations underlay by IoT and to enrich the theory body of supply chain management. The anticipated throughput of this research is probably benefitial to advancing the progress of the Big-Data Major Research Plan of NSFC, optimizing operational decision makings driven by Big Data in both firm and supply chain level and also to governmental enacting policies on promoting and regulating the IoT and Big Data development and applications.

在新一轮信息技术浪潮引发全球制造业深刻变革背景下，本项目聚焦于物联网环境下大数据驱动的供应链，拟揭示物联网及大数据分析对供应链运营的作用机理，探究面向智能互联产品的大数据驱动供应链的运营协调优化方法及大数据共享治理机制。研究内容有：(1)物联网环境下多源异构大数据驱动的消费者价值判断体系与产品特性映射研究；(2)大数据驱动的智能互联产品供应链制造能力动态调度与配置博弈研究；(3)大数据驱动的物联网环境下供应链生产/服务与动态定价博弈研究；(4)物联网环境下考虑大数据服务的供应链结构选择与激励机制研究；(5)物联网环境下基于关系型契约的供应链大数据共享治理机制研究。本项目研究对加速大数据重大研究计划总体进展、帮助供应链企业优化物联网环境下大数据驱动运营决策和政府推动和规制物联网及大数据发展的政策均有一定的价值和意义。

在此新一轮信息技术浪潮引发全球制造业深刻变革背景下，本项目聚焦于物联网环境下大数据驱动的供应链，拟揭示物联网及大数据分析对供应链运营的作用机理，探究大数据驱动的供应链运营协调优化模型和方法。本项目研究迄今已取得一系列的研究成果，我们强调数据驱动范式的作用，即直接发现特定变量关系模式进而形成问题解决方案，或者是对模型驱动范式进行补充扩展。本项目研究主要涉及大数据驱动的设施与运营优化、危化品物流规划、物流配送优化和生产系统控制等供应链运营若干重要领域。主要研究内容包括：基于大数据驱动的电动汽车共享服务运营优化管理；再制造和翻新两种产品恢复模式的竞争研究；具有需求到期日的危险品铁路运输路径与调度方法研究；面向促进清洁技术的采用的产品与服务基础设施补贴选择研究；服务时间和利润相依时定向运动问题的精确启发式算法；非对称网络信息下社会网络的非线性最优定价研究；严格碳政策下供应链超级网络的碳排放管制与运营研究；物联网及大数据驱动下的供应链规划和协调理论启示等等十余项相关研究。在这些研究中我们还用到了数据驱动的融合范式，在一定程度上体现了数据驱动加模型驱动的思想。本项目研究对加速数据驱动的管理与决策重大研究计划的总体进展有一定的作用，研究成果在一定程度上丰富了新情境下的供应链管理理论，也可为企业及其所在供应链在物联网环境下大数据驱动的运营决策优化提供有益参考。