物联网环境下基于提前期压缩的工程供应链协调与优化

Focusing on the risk of adoption of RFID for reducing lead-time in construction supply chain under Internet of Things, the project aims to establish the theoretical framework of construction supply chain coordination with the RFID-based lead-time reduction. We expect to achieve innovative research results on risk-averse inventory decision model based on RFID for lead-time reduction, construction supply chain coordination model and contract based on RFID for lead-time reduction. The project will develop RFID-based risk-averse inventory decision model with lead-time reduction. And for two kinds of typical material supply modes of the First party supply material and the First party control material in construction supply chain, it will establish the supplier- dominated as well as contractor-dominated game models of construction supply chain, discovering how will the risk attitude of members, the costs of RFID tags and the dominant position of members affect the member’s decision. Based on these results, we will design several types of construction supply chain coordination contracts with RFID-based lead-time reduction, which will provide theoretical basis and scientific guidance to solve the risk-pooling and coordination problems in application of RFID technology in practical construction supply chain.

针对物联网环境下实际工程供应链系统中应用RFID技术压缩提前期面临的风险问题，考虑材料供应商的风险厌恶特性，建立风险厌恶情形下基于提前期压缩的工程供应链协调分析的理论框架，在基于提前期压缩的风险厌恶库存决策模型、基于提前期压缩的工程供应链协调模型及协调契约等方面取得创新性研究成果。本项目拟提出考虑RFID技术应用成本的风险厌恶供应商库存决策模型，并针对工程供应链中甲供材与甲控材两种典型的材料供应模式，分别建立供应商主导和承包商主导的工程供应链协调模型，揭示供应商的风险态度、RFID标签成本及成员主导地位等因素对各成员决策的影响规律，并提出物联网环境下基于提前期压缩的工程供应链协调契约，为解决实际工程供应链系统中应用RFID技术面临的风险问题及协调难题提供理论依据和科学指导。

针对物联网环境下实际工程供应链系统中应用RFID技术压缩提前期面临的风险问题，考虑材料供应商的风险厌恶特性，建立风险厌恶情形下基于提前期压缩的工程供应链协调分析的理论框架，在基于提前期压缩的风险厌恶库存决策模型、基于提前期压缩的工程供应链协调模型及协调契约等方面取得创新性研究成果。本项目拟提出考虑RFID技术应用成本的风险厌恶供应商库存决策模型，并针对工程供应链中甲供材与甲控材两种典型的材料供应模式，分别建立供应商主导和承包商主导的工程供应链协调模型，揭示供应商的风险态度、RFID标签成本及成员主导地位等因素对各成员决策的影响规律，并提出物联网环境下基于提前期压缩的工程供应链协调契约，为解决实际工程供应链系统中应用RFID技术面临的风险问题及协调难题提供理论依据和科学指导。本项目共发表学术论文11篇，其中SCI（SSCI）论文3篇，获得教育部科技进步一等奖1项，出版专著2部，教材1本，相关的仿真实验平台获得软件著作权1项；协作指导培养博士研究生2人，指导培养硕士研究生12人，其中毕业论文和项目内容相关的博士和硕士学位论文8篇。