Abstract
A supply chain is a network of companies producing and distributing products to end-consumers. The Québec Wood Supply Game (QWSG) is a board game designed to teach supply chain dynamics. The QWSG provides the agent model for every company in our simulation. The goal of this paper is to introduce this simulation model. For this purpose, we first outline the QWSG, and then describe with mathematical equations each company in our simulation. Finally, three examples illustrate the use of our simulation to study collaboration in supply chains. More precisely, we study incentives for collaboration at both the supply chain and company level.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Boutilier, C.: Planning, learning and coordination in multiagent decision processes. In: Theoretical aspects of rationality and knowledge, pp. 195–201 (1996)
Conseil de l’Industrie Foresti‘ere du Qu´ebec (2004). Web site (accessed February 16, 2004), http://www.cifq.qc.ca/
Fjeld, D.E.: The wood supply game as an educational application for simulating dynamics in the forest sector. In: Sjostrom, K., Rask, L.-O. (eds.) Supply Chain Management for Paper and Timber Industries, pp. 241–251, Växjö (Sweden) (2001)
FOR@C (2003). Web site of the Research Consortium in e-business in the forest products industry (Universit´e Laval, Qu´ebec City, Qu´ebec, Canada (accessed September 15, 2003), http://www.forac.ulaval.ca
Free Software Foundation, Web site (accessed february 18, 2004), http://www.gnu.org
Gambit Project (2003). Gambit: Software tools for game theory, version 0.97.0.4 (accessed October 16, 2003), http://econweb.tamu.edu/gambit/
Haartveit, E.Y., Fjeld, D.E.: Experimenting with industrial dynamics in the forest sector - A Beer Game application. In: Symposium on Systems and Models in Forestry, Punta de Tralca, Chile (2002)
Kimbrough, S.O., Wu, D., Zhong, F.: Computers play the Beer Game: Can artificial agents manage supply chains? Decision Support Systems 33(3), 323–333 (2002)
Lee, H.L., Padmanabhan, V., Whang, S.: The bullwhip effect in supply chain. Sloan Management Review 38(3), 93–102 (1997)
Moyaux, T.: Multi-Agent Simulation and Analysis of Collaborative Strategies in the Qu´ebec Forest Supply Chain. Ph. D thesis, Universit´e Laval (Qu´ebec City, Qu´ebec, Canada), forthcoming (2004)
Moyaux, T., Chaib-draa, B., D’Amours, S.: Multi-agent coordination based on tokens: Reduction of the bullwhip effect in a forest supply chain. In: Proceedings of the 2nd int. joint conf. on Autonomous Agents and MultiAgent Systems (AAMAS), Melbourne (2003)
Moyaux, T., Chaib-draa, B., D’Amours, S.: The impact of information sharing on the efficiency of an ordering approach in reducing the bullwhip effect. Systems, Man, and Cybernetics. submitted (2004)
Nahmias, S.: Production and Operations Analysis, 3rd edn. The McGraw-Hill Companies, Inc., New York (1997)
Sterman, J.D.: Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science 35(3), 321–339 (1989)
Wooldridge, M.: An Introduction to Multi-Agent Systems. John Wiley & Sons, New York (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moyaux, T., Chaib-draa, B., D’Amours, S. (2004). An Agent Simulation Model for the Québec Forest Supply Chain. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds) Cooperative Information Agents VIII. CIA 2004. Lecture Notes in Computer Science(), vol 3191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30104-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-540-30104-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23170-7
Online ISBN: 978-3-540-30104-2
eBook Packages: Springer Book Archive