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Production Games under Uncertainty

Author

Listed:
  • Sandsmark, M.

Abstract

The main objects below are transferable-utility games in which each agent faces an optimization problem, briefly called production planning, constrained by his resource endowment. Coalitions can pool members's resources. Such production games are here extended to accomodate uncertainty about events not known ex ante.

Suggested Citation

  • Sandsmark, M., 1999. "Production Games under Uncertainty," Norway; Department of Economics, University of Bergen 204, Department of Economics, University of Bergen.
    • Handle: RePEc:fth:bereco:204
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    Citations

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    Cited by:

    1. Peter Borm & Herbert Hamers & Ruud Hendrickx, 2001. "Operations research games: A survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(2), pages 139-199, December.
    2. Suijs, J.P.M., 1999. "Price Uncertainty in Linear Production Situations," Other publications TiSEM 7e9b38b7-5b6c-4f12-86c8-8, Tilburg University, School of Economics and Management.
    3. Ichiro Nishizaki & Tomohiro Hayashida & Shinya Sekizaki & Kojiro Furumi, 2023. "A two-stage linear production planning model with partial cooperation under stochastic demands," Annals of Operations Research, Springer, vol. 320(1), pages 293-324, January.
    4. Suijs, J.P.M., 1999. "Price Uncertainty in Linear Production Situations," Discussion Paper 1999-91, Tilburg University, Center for Economic Research.
    5. Flam, S. D. & Jourani, A., 2003. "Strategic behavior and partial cost sharing," Games and Economic Behavior, Elsevier, vol. 43(1), pages 44-56, April.

    More about this item

    Keywords

    UNCERTAINTY ; GAME THEORY ; PRODUCTION;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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