Multi-Agent Coordination Based on Tokens: Reduction of the Bullwhip Effect in a Forest Supply Chain

Proceedings of the Interantional Conference on Autonomous Agents

Volumn 2, Issue , 2003, Pages 670-677

  Moyaux, Thierry ^a   Chaib Draa, Brahim ^a   D'Amours, Sophie ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Bullwhip effect; Decentralized coordination; Multi agent systems; Supply chain; Tokens

Indexed keywords

CUSTOMER SATISFACTION; DECENTRALIZED CONTROL; FEEDBACK; INDUSTRIAL ECONOMICS; INVENTORY CONTROL; PROBLEM SOLVING; SOFTWARE ENGINEERING;

BULLWHIP EFFECT; DECENTRALIZED COORDINATION; SUPPLY CHAIN; TOKENS;

MULTI AGENT SYSTEMS;

EID: 1242310567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. M. Barbuceanu and M. Fox. Cool: A language for describing coordination in multi-agent systems. In Proc. 1st Int. Conf. on Multi-Agent Systems, 1995.
2. C. Boutilier. Planning, learning and coordination in multiagent decision processes. In Theoretical Aspects of Rationality and Knowledge, pages 195-201, 1996.
3. J. Buzacott and G. Shanthikumar. A general approach for coordinating production in multiple-cell manufacturing systems. Production and Operations Management, 1(1):34-52, 1992.
4. F. Chen, Z. Drezner, J. K. Ryan, and D. Simchi-Levi. Quantifying the bullwhip effect: The impact of forecasting, lead times, and information. Management Science, 46(3):436-443, 2000.
5. A. Clark and H. Scarf. Optimal policies for a multi-echelon inventory problem. Management Science, 6:465-490, 1960.
6. M. C. Cooper, D. M. Lambert, and J. D. Pagh. Supply chain management: More than a new name for logistics. International Journal of Logistics Management, 8(1), 1997.
7. E. H. Durfee. Scaling up agent coordination strategies. Computer, 34(7), 2001.
8. E. H. Durfee and V. R. Lesser. Negotiating task decomposition and allocation using partial global planning. In L. Gasser and M. Huhns, editors, Distributed Artificial Intelligence, volume 2, pages 229-244. Pitman Publ. Ltd., London, England, 1989.
9. D. E. Fjeld. The wood supply game as an educational application for simulating dynamics in the forest sector. In K. Sjöström and L.-O. Rask, editors, Supply Chain Management for Paper and Timber Industries, pages 241-251, Växjö, 2001.
10. J. W. Forrester. Industrial dynamics - A major breakthrough for decision-makers. Harvard Business Review, 1958.
11. E. Y. Haartveit and D. E. Fjeld. Experimenting with industrial dynamics in the forest sector - A beer game application. In Symposium on Systems and Models in Forestry, Chile, 2002.
12. Iaccoca Institute. 21st century enterprise strategy: An industry led view. Iacocca Institute, Lehig University, Bethlehem, PA, 1991.
13. S. O. Kimbrough, D. Wu, and F. Zhong. Computers play the beer game: Can artificial agents manage supply chains? Decision Support Systems, 2001.
14. H. L. Lee, V. Padmanabhan, and S. Whang. The bullwhip effect in supply chain. Sloan Management Review, pages 93-102, 1997.
15. H. L. Lee, V. Padmanabhan, and S. Whang. Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4):546-558, 1997.
16. H. L. Lee and S. Whang. Decentralized multi-achelon supply chains: Incentives and information. Management Science, 45(5):633-640, 1999.
17. G. Liberopoulous and Y. Dallery. A unified framework for pull control mechanisms in multi-stage manufacturing systems. Annals of Operations Research, 93(1):325-355, 2000.
18. S. Lizotte and B. Chaib-draa. Coordination in CE systems: An approach based on the management of dependencies between agents. Concurrent Engineering: Research and Applications (CERA), 5(4):367-377, 1997.
19. T. Moyaux, B. Chaib-draa, and S. D'Amours. Agent-based simulation of the amplification of demand variability in a supply chain. In Proceedings of the 4th workshop Agent-Based Simulation (ABS4), CIRAD, Montpellier, France, 2003.
20. H. Nwana, L. Lyndon, and N. Jennings. Co-ordination in software agent systems. The British Telecom Technical Journal, 14(4):79-88, 1996.
21. S. Paquet. Coordination de plans d'agents : Application à la gestion des ressources d'une frégate. Master's thesis, Université Lavai, Québec (Canada), 2001.
22. H. V. D. Parunak. Applications of distributed artificial intelligence in industry. In G. M. P. O'Hare and N. R. Jennings, editors, Foundations of Distributed Artificial Intelligence, pages 71-76. John Wiley & Sons, 1996.
23. E. L. Porteus. Responsibility tokens in supply chain management. Manufacturing & Service Operations, Informs, 2(2):203-279, 2000.
24. C. Rigby, M. Day, P. Forrester, and J. Burnett. Agile supply: Rethinking systems thinking, systems practice. International Journal of Agile Management Systems, 2(3):178-186, 2000.
25. W. Shen and D. H. Norrie. Implementing internet enabled virtual enterprises using collaborative agents. In Infrastructures for Virtual Enterprises, pages 343-352. Camarinha-Matos, L.M., 1999.
26. D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi. Designing and Managing the Supply Chain. Mc Graw-Hill Higher Education, 2000.
27. J. D. Sterman. Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3):321-339, 1989.
28. D. Taylor. Measurement and analysis of demand amplification across the supply chain. The International Journal of Logistics Management, 10(2):55-70, 1999.
29. L. Yan. Impact of lead-time distribution on the bullwhip effect and supply chain performance. In Americas Conference on Information Systems, 2001 (submitted).