S
Shouwen Ji
Researcher at Beijing Jiaotong University
Publications - 10
Citations - 108
Shouwen Ji is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Supply chain & Beijing. The author has an hindex of 3, co-authored 10 publications receiving 100 citations.
Papers
More filters
Proceedings ArticleDOI
Supply chain model in vendor managed inventory
TL;DR: In this article, the authors developed an analytical model that explores how important supply chain parameters affect the cost savings to be realized from collaborative initiatives such as vendor-managed inventory (VMI).
Proceedings ArticleDOI
Research on traffic volume forecast and assignment of Logistics Park
TL;DR: The improved traffic volume non-repeated coefficient method was introduced and based on the results, system optimization assignment model was used for traffic assignment of Logistics Park with the aid of TRANSCAD.
Proceedings ArticleDOI
Introducing Mobile Channel into Electronic Supply Chain
Wei Wei,Jinsheng Shen,Shouwen Ji +2 more
TL;DR: As mobile channel becomes more distinct from existing channels and becomes cheaper, consumers and manufacturer will be better off and the manufacturer's inclination to mobile channel will not eliminate the traditional channel.
Proceedings ArticleDOI
Research on the adaptability relationship between logistics system and economic development
Yan Liu,Zhenlin Wei,Shouwen Ji +2 more
TL;DR: Based on the paradigm of system science and the demand/supply principle of economics, a new direction to study the connotation of adaptability relationship between logistics system and economic development, and establish the theoretical DEA model to judge the Adaptability relationship by introducing the concept of Adaptability index as mentioned in this paper.
Proceedings ArticleDOI
Notice of Retraction A Study on Used Tire Reverse Logistics Flow Distribution Based on Minimum Recycling Cost
TL;DR: The paper sets models and designs algorithm to study the flow distribution between recycling bins and treatment plants and the solution is presented in the Visual Studio 2005 environment which provides assistance for the decision makers of reverse logistics.