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Game—The Transportation Game

Author

Listed:
  • Foroogh Abasian

    (Département de Génie Mécanique, Université Laval, Québec, Québec G1V 0A6, Canada)

  • Mikael Rönnqvist

    (Département de Génie Mécanique, Université Laval, Québec, Québec G1V 0A6, Canada)

  • Philippe Marier

    (Département de Génie Mécanique, Université Laval, Québec, Québec G1V 0A6, Canada)

  • Dag Fjeld

    (Norwegian Institute of Bioeconomy Research, Oslo NO-1431, Norway)

Abstract

This paper presents an online educational game focusing on hierarchical procurement planning in a simulated forest supply chain with multiple companies. The purpose is to provide an understanding of the importance of individual decisions and their medium- to long-term impacts on the entire supply chain. The transportation game comprises three phases, each simulating hierarchical decision making when three competing companies (i.e., the game players) are making simultaneous decisions on the available resources. Each game phase also requires concurrent collaboration and competition. The phases represent different planning levels from long-term to short-term planning, considering the collaboration concept within the supply chain. The simulated supply chain objective is to minimize resource purchasing and transportation costs. The purchasing cost will be fixed after the first phase. The chance of decreasing transportation costs, however, is available until the end of the game. We develop three optimization models for each game phase. Once the game is finished, it compares the players’ results with optimal solutions prepared upfront. Finally, we present some comments about the game experience in various classrooms.

Suggested Citation

  • Foroogh Abasian & Mikael Rönnqvist & Philippe Marier & Dag Fjeld, 2020. "Game—The Transportation Game," INFORMS Transactions on Education, INFORMS, vol. 21(1), pages 1-12, September.
    • Handle: RePEc:inm:orited:v:21:y:2020:i:1:p:1-12
    DOI: 10.1287/ited.2019.0223
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    References listed on IDEAS

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    1. Mikael Rönnqvist & Sophie D’Amours & Andres Weintraub & Alejandro Jofre & Eldon Gunn & Robert Haight & David Martell & Alan Murray & Carlos Romero, 2015. "Operations Research challenges in forestry: 33 open problems," Annals of Operations Research, Springer, vol. 232(1), pages 11-40, September.
    2. Frisk, M. & Göthe-Lundgren, M. & Jörnsten, K. & Rönnqvist, M., 2010. "Cost allocation in collaborative forest transportation," European Journal of Operational Research, Elsevier, vol. 205(2), pages 448-458, September.
    3. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    4. Jiehong Kong & Mikael Rönnqvist & Mikael Frisk, 2015. "Using mixed integer programming models to synchronously determine production levels and market prices in an integrated market for roundwood and forest biomass," Annals of Operations Research, Springer, vol. 232(1), pages 179-199, September.
    5. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
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