Skip to main content

An Agent Simulation Model for the Québec Forest Supply Chain

  • Conference paper
Cooperative Information Agents VIII (CIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3191))

Included in the following conference series:

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.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Boutilier, C.: Planning, learning and coordination in multiagent decision processes. In: Theoretical aspects of rationality and knowledge, pp. 195–201 (1996)

    Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • Lee, H.L., Padmanabhan, V., Whang, S.: The bullwhip effect in supply chain. Sloan Management Review 38(3), 93–102 (1997)

    Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Google Scholar 

  • 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)

    Google Scholar 

  • Nahmias, S.: Production and Operations Analysis, 3rd edn. The McGraw-Hill Companies, Inc., New York (1997)

    Google Scholar 

  • Sterman, J.D.: Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science 35(3), 321–339 (1989)

    Article  Google Scholar 

  • Wooldridge, M.: An Introduction to Multi-Agent Systems. John Wiley & Sons, New York (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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

Publish with us

Policies and ethics