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Organized by
Zhejiang University Institute of Computing innovation, China

Co-Sponsored by
IEEE SMC Society
CSCWD International Working Group
Zhejiang Sci
-Tech University, China

General Conference Chair
Gang Chen

General Conference Co-Chairs
Xiaoping Liu
Jano de Souza
Amy Trappey
Marco Borges
Yong Tang

Program Committee Co-Chairs
Weiming Shen
Jean-Paul Barthesès
Junzhou Luo

Publication Chair
Jinghui Zhang

Special Session Chair
Haibin Zhu

Finance Chair / Treasurer
Kunkun Peng

Local Arrangement Chairs
Sai Wu
Jinfeng Gao

International Steering Committee

Co-Chairs
Jean-Paul Barthesès
Junzhou Luo
Weiming Shen

Secretary
Jinghui Zhang

Members
Pedro Antunes
Marcos Borges
Kuo-Ming Chao
Jano de Souza
Giancarlo Fortino
Liang Gao
Ning Gu
Anne James
Peter Kropf
Weidong Li
Xiaoping P. Liu
Xiaozhen Mi
Hugo Paredes
José A. Pino
Yanjun Shi
Amy Trappey
Chunsheng Yang
Yun Yang
Jianming Yong
Qinghua Zheng

 

SS8: Modeling and exploration of a collaborative data space shared by enterprises across multiple value chains in manufacturing networks             

 

·   Organizers

  

Hongwei Wang - hongweiwang@zju.edu.cn, Dongxiao Niu - niudx@ncepu.edu.cn, Jieping Han - hanjieping@neepu.edu.cn, Da Liu - liuda@ncepu.edu.cn, and Heming Zhang - hmz@tsinghua.edu.cn

·   Description/Abstract

  

In the modern manufacturing paradigm, enterprises usually form a network in which they collaborate to maximize their performances and revenues across multiple value chains such as supply value chain, sales value chain and service value chain. A key challenge in underpinning this collaboration is the sharing of data collected from different sources and for varied purposes. As such, it is of significant importance to investigate the modeling and exploration of this collaboratively shared data space. In the meanwhile, this is also useful for the collaborative capture, storage, retrieval and reuse of distributed heterogeneous knowledge. This special session precisely aims to describe recent progresses in this important research and to serves as a forum for all forms of computer-supported collaborative technologies and systems incorporating the theories and methods of multi-value chain collaborative data space. Relevant topics include, but are not limited to, the following areas: (1) theories and models for multi-value chain collaborative data space management; (2) system architecture and enabling technologies for multi-value chain collaborative data space management; (3) CSCW enabled intelligent decision support and optimization in multi-value chain; (4) knowledge computing and service for multi-value chain data space; and (5) design and development of multi-value chain knowledge management engine.