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.