Information Coordination in Supply Chain Systems
Read this paper. The article reviews the coordination of information in supply chains classified by information types, impact on performance, and information policies. Figure 2 presents the depth of information flow. What should an organization do with this information, given the analysis?
Conclusion
Information coordination is a key approach to achieve supply chain coordination. Information types, their impact on
supply chain performance, and the policy of information sharing are significant content in the research of supply chain
coordination.
To implement operational information coordination in supply chain, defining the effect of operational information is
where the shoe pinches. Combining qualitative analysis and quantitative research is very useful to do this. With the
development of artificial intelligence, agent-based modeling method becomes a noticeable way in the research of
supply chain coordination. Multi-agent computational environments are suitable for studying classes of coordination issues
involving multiple autonomous or semi-autonomous optimizing agents where knowledge is distributed and agents
communicate through messages. Since supply chain management is fundamentally concerned with coherence among
multiple decision makers, a multi-agent modeling framework based on exp licit communication between constituent
agents (such as manufacturers, suppliers, distributors) is a natural choice. For future research, we will use this method to
modeling information coordination in the supply chain.