1，项目基本信息

国际（地区）合作与交流项目申请书

（重点国际(地区)合作研究项目——）

项目名称：物联网环境下的紧致化仓储系统及其供应链研究                      

合作国别(地区，国际组织)：荷兰    合作起止日期：2016-01-01—2020-12-31  

项目申请人：  余玉刚               申请日期：‍2015-02-04                             

依托单位：中国科学技术大学         实验室名称：                           

通讯地址：皖，合肥金寨路96号，中国科大东区管理学院907室邮政编码： 230026 

联系电话：0551-63606187             传真：0551-63600025                  

Email：ygyu@ustc.edu.cn                                                  

依托基金项目编号：71225002          起止日期：2013-01-01—2016-12-31     

依托基金项目名称：工业工程管理                                           

依托基金项目主持人：余玉刚                                               

中文摘要

基于物联网技术的紧致化仓储系统管理是当前管理学的前沿领域之一。仓储系统涉及城市立体车库、码头集装箱堆场、分配中心等众多现实场景，其内部运作及供应链管理是物联网环境下紧致化仓储系统管理中的重要课题。本项目以优化紧致化仓储系统对货物的处理效率及仓储企业所在供应链的绩效为目标，分别从系统内部运作管理和外部供应链管理与市场策略展开研究。项目的主要研究内容包括：（1）紧致化系统基于物联网需求信息的仓储策略研究；（2）物联网环境下的紧致化系统内部货物移动策略研究；（3）紧致化系统企业与供应商的互动与合作策略研究；（4）基于物联网云数据平台的仓储信息发布策略研究。项目旨在物联网环境下建立紧致化仓储系统内部运作的优化模型和计算方法，设计仓储企业与上下游企业之间的协作机制，建立基于物联网技术的云服务平台理论和市场管理策略，为促进以立体车库和集装箱堆场为代表的紧致化仓储行业和物联网产业的发展提供理论支持。

英文摘要

Warehouse management is one of the frontier issues in management science and operations research. Nowadays, due to lack of space and to become more efficient and responsive, many warehouses have automated the storage and retrieval processes in automated compact storage systems, Compact storage systems (CSS) are widely used in automated car parkings, container terminals, and distribution centers. Operational management of such systems and managing the supply chains of the warehouses containing such systemsis an important topic within warehouse management. With the rise of internet, products and customers are more and more online connected. This makes it possible to control processes autonomously and remote (Internet of Things, IoT). This project aims to optimize the internal operations of CSS within their supply chains by studying the following topics: (1) research on storage policies in CSS with advance demand information from IoT, (2) research on sequencing/scheduling policies in CSS with information from IoT, (3) research on cooperation and coordination relationships in supply chains with IoT-based CSS, and (4) research on marketing decisions for IoT-based CSS and cloud service providers. We will attempt to develop optimization models and algorithms for the operations management of IoT-based CSS, design the cooperation mechanism for supply chain members, and analyze marketing and management strategies for storage enterprises on an IoT-based cloud information platform. Our findings will provide theoretical support for the competitive development of warehouse and IoT industries.

2，项目负责人信息

项目参与人信息