Geodesic
A Fuzzy Cooperative Game Model for Configuration Management of Open Supply Networks
Contributions to game theory and management, Tome 4 (2011), pp. 433-446.

Voir la notice de l'article provenant de la source Math-Net.Ru

The paper considers the problem of open supply networks (OSNs) configuring in a highly dynamic economic environment. A novel coalition formation mechanism is proposed, which helps to resolve conflictions between the objectives of the OSN participants and to agree upon effective solutions. This mechanism is based on a generalized model of a fuzzy cooperative game with core. The model was applied for configuring of an automotive OSN. Simulation results are considered.
Keywords: cooperative game, core, supply network, configuring. 
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Leonid B. Sheremetov; Alexander V. Smirnov. A Fuzzy Cooperative Game Model for Configuration Management of Open Supply Networks. Contributions to game theory and management, Tome 4 (2011), pp. 433-446. http://geodesic.mathdoc.fr/item/CGTM_2011_4_a32/

[1] Aubin J. P., “Cooperative Fuzzy Games”, Math. Oper. Res., 6:1 (1981), 1–13 | DOI | Zbl

[2] Aumann R. J., Maschler M., “The bargaining set for cooperative games”, Advances in Game Theory, Annals of Mathematics Studies, 52, eds. Dresher M., Shapley L.S., Tucker A.W., Princeton University Press, 1964, 443–476

[3] Chandra C., Grabis J., Supply Chain Configuration: Concepts, Solutions, and Applications, Springer, USA, 2007

[4] Davis M., Maschler M., “The Kernel of a cooperative game”, Naval Research Logistics Quarterly, 12 (1965), 223–259 | DOI | Zbl

[5] Garavelli A., “Flexibility configurations for the supply chain management”, Int. J. of Production Economics, 85 (2003), 141–153 | DOI

[6] Gasser L., “Social Conceptions of Knowledge and Action: DAI Foundations and Open System Semantics”, Artificial Intelligence, 47:1–3 (1991), 107–138 | DOI

[7] Gillies D. B., Some theorems on $n$-person games, Ph. D. thesis, Princeton University Press, Princeton, New Jersey, 1953

[8] Hosam H., Khaldoun Z., “Planning Coalition Formation under Uncertainty: Auction Approach”, ICTTA'06, 2nd Information and Communication Technologies, v. 2, 2006, 3013–3017

[9] Kahan J. P., Rapoport A., Theories of Coalition Formation, Lawrence Erlbaum Associates, London, 1984

[10] Klusch M., Gerber A., “Dynamic Coalition Formation Among Rational Agents”, J. Intell. Syst., 17:3 (2002), 42–47 | DOI

[11] Mareŝ M., Fuzzy Cooperative Games — Cooperation with Vague Expectations, Physica Verlag, 2001

[12] McBeath B., Childs L., Grackin A., “Supply Chain Orchestrator — Management of the Federated Business Model in this Second Decade”, ChainLink Research, 2010 http://www.clresearch.com/research/detail.cfm?guid=2158E97F-3048-79ED-9990-899769AF364C

[13] Roth A. (ed.), Game-theoretic Models of Bargaining, Cambridge University Press, Cambridge, 1995

[14] Sandkuhl K., Smirnov A., Shilov N., “Configuration of Automotive Collaborative Engineering and Flexible Supply Networks”, Expanding the Knowledge Economy — Issues, Applications, Case Studies, eds. Cunningham P., Cunningham M., IOS Press, Amsterdam (NL), 2007, 929–936

[15] Schmeidler D., “The nucleolus of a characteristic function game”, SIAM Journal on Applied Mathematics, 17 (1969), 1163–1170 | DOI | Zbl

[16] Shapley L. S., “A value for $n$-person games”, Contributions to the theory of games, v. II, Annals of Mathematics Studies, 28, eds. H. W. Kuhn, A. W. Tucker, Princeton University Press, Princeton, 1953, 307–317

[17] Sheremetov L. B., Romero-Cortes J. C., “Fuzzy Coalition Formation Among Rational Cooperative Agents”, Lecture Notes in Artificial Intelligence, 2691, eds. Marik J. Müller, M. Pechoucek, Springer, Berlin–Heidelberg, 2003, 268–280 | Zbl

[18] Smirnov A., “Virtual Enterprise Configuration Management”, 14th IFAC World Congress, Pergamon Press, Beijing, China, 1999, 337–342

[19] Smirnov A., Sheremetov L., Chilov N., Sanchez-Sanchez C., “Agent-Based Technological Framework for Dynamic Configuration of a Cooperative Supply Chain”, Multiagent-based supply chain management, Series on Studies in Computational Intelligence, 28, eds. Chaib-draa B., Müller J. P., Springer, 2006, 217–246

[20] Suckya E., The bullwhip effect in supply chains — An overestimated problem?, Int. J. of Production Economics, 118:1 (2009), 311–322 | DOI

[21] Tijs S. H., “Bounds for the core and the $t$-value”, Game Theory and Mathematical Economics, North-Holland Publishing Company, Amsterdam, The Netherlands, 1981, 123–132

[22] Von Neumann J., Morgenstern O., Theory of games and economic behavior, Princeton University Press, Princeton, 1944 | Zbl