Abstract
In supply chain management, improving the efficiency of the overall supply chain is important. It has been found that sharing information between supply chain members can increase the efficiency of the supply chain by varying degrees in different situations. There are, however, many practical difficulties in sharing information with all the companies in a complex supply chain. This paper presents a multi-agent system for supply chain coordination where agents discover the structure of supply chains and share information on inventory levels only by local collaborations. Agents use the gathered information to estimate demands propagated from multiple markets through a complex network of companies with different lead times and market shares. The performance of the suggested system is investigated with a simulation experiment and the result is compared with an alternative strategy.
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References
Yu, Z., Yan, H., Cheng, T.C.E.: Benefits of information sharing with supply chain partnerships. Industrial Management & Data Systems 101(3), 114–119 (2001)
Verwijmeren, M., Vlist, P., Donselaar, K.: Networkd inventory management information systems: materializing supply chain management. International Journal of Physical Distribution & Logistics 26(6), 16–31 (1996)
Zhao, X., Xie, J., Zhang, W.J.: The impact of information sharing and ordering coordination on supply chain performance. Supply Chain Management: An international journal 7(1), 24–40 (2002)
Simatupang, T.M., Wright, A.C., Sridharan, R.: The knowledge of coordination for supply chain integration. Business Process Management 8(3), 289–308 (2002)
Lau, J.S.K., Huang, G.Q., Mak, K.L.: Web-based simulation portal for investigating impacts of sharing production information on supply chain dynamics from the perspective of inventory allocation. Integrated Manufacturing Systems 13(5), 345–358 (2002)
Berry, D., Naim., M.M.: Quantifying the relative improvements of redesign strategies in a P. C. supply chain. Production Economics 46–47, 181–196 (1996)
Boyson, S., Corsi, T., Verbraeck, A.: The e-supply chain portal: a core business model. Transportation Research Part E 39, 175–192 (2003)
Gavirneni, S., Kapuscinski, R., Tayur, S.: Value of Information in Capacitated Supply Chains. Management Science 45(1), 16–24 (1999)
Chen, F., Drezner, Z., Ryan, J.K., Simchi-Levi, D.: Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting Lead Times, and Information. Management Science 46(3), 436–443 (2000)
Cachon, G.P., Fisher, M.: Supply Chain Inventory Management and the Value of Information Sharing. Management Science 46(8), 1032–1048 (2000)
Raghunathan, S.: Information Sharing in a Supply Chain: A Note on its Value when Demand is Nonstationary. Management Science 47(4), 605–610 (2001)
Lee, H.L., So, K.C., Tang, C.S.: The Value of Information Sharing in a Two-Level Supply Chain. Management Science 46(5), 626–643 (2000)
Dejonckheere, J., Disney, S.M., Lambrecht, M.R., Towill, D.R.: Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research 147, 567–590 (2002)
Barbuceanu, M., Teigen, R., Fox, M.S.: Agent Based Design and Simulation of Supply Chain Systems. In: 6th Workshop on Enabling Technologies Infrastructure for Collaborative Enterprises (WET-ICE 1997), pp. 18–20 (1997)
Chen, Y., Peng, Y., Labrou, Y., Cost, S., Chu, B., Yao, J., Sun, R., Willhelm, B.: A negotiation-based Multi-agent system for supply chain management. In: Workshop on Agents for Electronic Commerce and Managing the Internet-Enabled Supply Chain, Seattle, WA, April 1999, pp. 15–20 (1999)
Fox, M.S., Barbuceanu, M., Teigen, R.: Agent-Oriented Supply-Chain Management. Flexible Manufacturing Systems 12(2/3), 165–188 (2000)
Ito, T., Abadi, S.: Agent-based material handling and inventory planning in warehouse. Journal of Intelligent Manufacturing 13, 201 (2002)
Min, J.U., Bjornsson, H.: Agent Based Supply Chain Management Automation. In: The Eighth International Conference on Computing in Civil and Building Engineering, ICCCBE-VIII (2000)
Nissen, M.E.: Agent-based Supply Chain Dis-intermediation vs. Re-intermediation: Economic and Technological Perspectives. Intelligent Systems in Accounting, Finance, & Management 9, 237–256 (2000)
Nissen, M.E.: Agent-Based Supply Chain Integration. Information Technology & Management 2, 289–312 (2001)
Reis, J., Mamede, N., O’Neill, H.: Locally perceiving hard global constraints in multiagent scheduling. Intelligent Manufacturing 12, 223–236 (2001)
Swaminathan, J.M.: Modeling supply chain dynamics: A Multiagent Approach. Decision Sciences 29(3), 607–632 (1997)
Verdicchio, M., Colombetti, M.: Commitments for Agent-Based Supply Chain Management. ACM SIGecom Exchanges 3(1), 13–23 (2002)
Walsh, W.E., Wellman, M.P.: Modeling Supply Chain Formation in Multiagent Systems. In: Agent Mediated Electronic Commerce Workshop (IJCAI 1999), pp. 94–101 (1999)
Yuan, Y., Liang, T.P., Zhang, J.J.: Using Agent Technology to Support Supply Chain Management: Potentials and Challenges. Michael G. DeGroote School of Business Working Paper Searies 453 (2001)
FIPA00025: FIPA Interaction Protocol Library Specification. Foundation for Intelligent Physical Agents (2001)
Pindyck, R.S., Rubinfeld, D.L.: Econometric Models and Economic Forecasts, 3rd edn. McGraw-Hill International, New York (1991)
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Ahn, H.J., Park, S.J. (2003). Modeling of a Multi-agent System for Coordination of Supply Chains with Complexity and Uncertainty. In: Lee, J., Barley, M. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2003. Lecture Notes in Computer Science(), vol 2891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39896-7_2
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DOI: https://doi.org/10.1007/978-3-540-39896-7_2
Publisher Name: Springer, Berlin, Heidelberg
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