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Supply Chain 2012 Part 8

Tham khảo tài liệu 'supply chain 2012 part 8', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Fuzzy Multiple Agent Decision Support Systems for Supply Chain Management 201 Figure 7. Cost comparison of Agent-Based model with simulation and 1-1 policy 12. Conclusions This chapter proposes a proper modular architecture for the information agent based on the inputs functions and outputs of the agent for supply chain management. The proposed architecture has nine different modules each of which is responsible for one or more function s for the information agent. Then we explored the occurrence of bullwhip effect in supply chains in a fuzzy environment. We built an agent-based system which can operate in a fuzzy environment and is capable of managing the supply chain in a completely uncertain environment. They are able to track demands remove the bullwhip effect almost completely and discover policies under complex scenarios where analytical solutions are not available. Such an automated supply chain is adaptable to an ever-changing businessenvironment. 13. References Baganha M Cohen M. 1998 . The stabilizing effect of inventory in supply chains. Operations Research 46 572-83. 202 Supply Chain Theory and Applications Barbuceabu M. Fox M.S. 1995 The Information Agent An Infrastructure Agent Supporting Collaborative Enterprise Architectures report of Enterprise Integration University of Toronto. Cachon GP Lariviere MA. 1999 Capacity choice and allocation strategic behavior and supply chain performance. Management Science 45 8 1091-108. Cachon GP. 1999 Managing supply chain demand variability with scheduled ordering policies Management Science Vol. 45 No. 6 pp. 843-56. Caglayan A. Harrison C. 1997 Agent Sourcebook John Willey Sons. Carlsson C. Fuller R. 2001a . Reducing the bullwhip effects by means of intelligent soft computing methods. Proceeding of the 34th Hawaii International Conference on System Science. Carlsson C. Fuller R. 2001b . On possibilistic mean value and variance of fuzzy numbers Fuzzy Sets and Systems 122 315-326. Chauhan D. JAFMAS A Java_based .