A cooperative game approach applied to the furniture supply chain of clusters for improving its competitive value: a case study

• Autorzy: Ram´ırez-Rios D. G. , Puello-Pereira N. , Ferro-Correa J. , Sankar-Sana S.
• Języki publikacji: EN

Abstrakty

EN

The paper studies a cooperative game, which is being played among the firms, involved in furniture industries, belonging to the same cluster. Due to the increased competition at the local and global levels, cooperation among the business entities is practically the only way to survive in the cluster. Consequently, a cooperative game model is proposed for the firms, associated in a vertical channel, where its performance indices are measured by one of its indicators of competitiveness at an entrepreneurial level versus the value of the cluster itself. As a case study, a competitive value analysis is done for the Colombian furniture cluster by indicating the characteristics and existing conditions of the cluster in the department of Atlantico in Colombia. Moreover, this paper analyzes and establishes an optimal feasible solution of cooperative game among the principal firms using Shapley value method.

Słowa kluczowe

EN

cooperative games; industrial cluster; supply chain; Shapley value

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2016
• Tom: Vol. 45, no. 1
• Strony: 95--110
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Ram´ırez-Rios D. G.

• Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180, USA
• Fundacion Centro de Investigacion en Modelacion Empresarial del Caribe, Barranquilla, Colombia

autor

Puello-Pereira N.

• Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180, USA

autor

Ferro-Correa J.

• Department of Industrial Engineering, Universidad De La Costa, Barranquilla, Colombia

autor

Sankar-Sana S.

• Department of Mathematics, Bhangar Mahavidyalaya, Bhangar-743502, 24PGS (South), India

Bibliografia

• [1] AUMANN, R., MASCHLER, M. (1964) The bargaining set for cooperative games. In: M. Dresher, L.S. Shapley, A.W. Tucker, eds. Advances in Game Theory. Princeton University Press, Princeton N.J., 443-476.
• [2] BARTHOLDI, J.J., KEMAHHOGLU-ZIYA, E.D.A. (2004) Using Shapley value to allocate savings in a supply chain. In: P. Papalaos and J. Geunes, eds., Supply chain Optimization. Kluwer Series, Atlanta, GA.
• [3] CACHON,G., LARIVIERE, M. (2001) Contracting to assure supply: how to share demand forecasts in a supply chain. Management Science, 47, 629646.
• [4] CACHON, G., KOK, A.G. (2007) Implementation of the newsvendor model with clearance pricing: how to (and how not to) estimate salvage value. Manufacturing & Service Operations Management, 9, 276-290.
• [5] CACHON, G., NETESSINE, S. (2004) Game theory in supply chain analysis. In: D. Simchi-Levi, S.D. Wu and Z. Shen, eds., Handbook of Quantitative Supply Chain Analysis: Modelling in the E-business Era. Springer Science & Business Media, 13-66.
• [6] CACHON, G.P. (2004) Supply chain coordination with contracts. In: A. G. de Kok, S. C. Graves, eds., Supply Chain Management: Design, Coordination and Operation, Handbook of Operations Research and Management Science, vol 11. Elsevier, Amsterdam, 229–339.
• [7] CARDENAS-BARRON, L. E., PORTER, J. D. (2013) Supply chain models for an assembly system with preprocessing of raw materials: A simple and better algorithm. Applied Mathematical Modelling, 37, 7883-7887.
• [8] DAVIS, M., MASCHLER, M. (1965) The Kernel of a Cooperative Game. Naval Research Logistics Quarterly, 12, 223-259.
• [9] GARNICA, A. G., RIVERO, A. A. L. (2004) Cluster y Coopetencia Industrial: Algunos elementos teoricos por considerer. Problemas del Desarrollo, 35, 142-160.
• [10] GILLIES, D.B. (1959) Solutions to general non-zero sum games. In: A. W. Tucker, R. D. Luce, eds., Contributions to the Theory of Games. Princeton University Press, Princeton, N.J., 47-85.
• [11] GRANOT, D., SOSTE, G. (2005) Formation of alliances in internet-based supply chain exchanges. Management Science, 51, 92-105.
• [12] HUANG, Y., HUONG, G.Q., LIU, X. (2012) Cooperative Game-Theoretic Approach for Supplier Selection, Pricing and Inventory Decisions in a Multi-level Supply Chain. Proc. of the Int. Multiconference of Engineers and Computer Scientists, Vol. 2, IMECS 2012, Hong Kong, China. March, 14-16.
• [13] LIN, C.C., HSIEH, A. (2012) A cooperative coalitional game in a duopolistic supply-chain competition. Networks and Spatial Economics, 12, 129-146.
• [14] LENG, M., PARLAR, M. (2009) Allocation of cost savings in a three-level supply chain with demand information sharing: a cooperative game approach. Operations Research, 57, 200-213.
• [15] LUTZ, H., VANG, D. O., RAFFIELD, W.D. (2012) Using game theory to predict supply chain cooperation. Performance Improvement, 51, 19-23.
• [16] MALAWSKI, M. (2002) Equity properties of the Shapley value as a power index. Control and Cybernetics, 31, 118-127.
• [17] MODAK, N. M., PANDA, S., SANA, S. S. (2015) Channel coordination, pricing and replenishment policies in three-echelon dual-channel supply chain. Control and Cybernetics, 44, 481-518.
• [18] NAGARAJAN, M., SOSIC, G. (2008) Game-theoretic analysis of cooperation among supply chain agents: review and extensions. European Journal of Operational Research, 187 (3), 719-745.
• [19] OWEN, G. (1995) Game Theory. Academic Press, San Diego, USA.
• [20] PADULA, G., BATTISTA DAGNINO, G. (2007) Untangling the rise of competition: the intrusion of competition in a cooperative game structure. International Studies of Management & Organizations, 37, 32-52.
• [21] PANDA, S. (2014) Coordination of a socially responsible supply chain using revenue sharing contract. Transportation Research-Part E, 67, 92-104.
• [22] RAGHUNATHAN, S. (2003) Impact of demand correlation on the value of and incentives for information sharing in a supply chain. European Journal of Operational Research, 146, 634-649.
• [23] RICHEY, R.G., TOKMAN, M., SKINNER, L.R. (2008) Exploring collaborative technology utilization in retailer-supplier performance. Journal of Business Research, 61, 842-849.
• [24] SARKAR, B., MAJUMDER, A. (2013) Integrated vendor-buyer supply chain model with vendor’s setup cost reduction. Applied Mathematics and Computation, 224, 362-371.
• [25] SARKAR, B. (2013) A production-inventory model with probabilistic deterioration in two-echelon supply chain management. Applied Mathematical Modelling, 37, 3138-3151.
• [26] SLICKKER, M., VAN DER NOUWELAND, A. (2001) Social and Economic Networks in Cooperative Game Theory. Kluwer Academic Publishers, Boston.
• [27] TREVINO-GARZA, G., CASTILLO-VILLAR, K. K., CARDENAS-BARRON, L.E. (2015) Joint determination of the lot size and number of shipments for a family of integrated vendor-buyer systems considering defective products. International Journal of Systems Science, 46, 1705-1716.
• [28] VALDERREY, M. J. L., IRAZABAL, M. A. I., PERIANEZ, I. (2012) Mejorar la competitividad mediante la colaboracion interempresarial en el sector auxiliar de automocion. Global Conference on Business and Finance Proceedings, 7, 915-925.
• [29] VON NEUMANN, J., MORGENSTERN, O. (1944) Theory of Games and Economic Behaviour. Princeton University Press, Princeton, N.J.
• [30] AMARRIPA, M. A., AGUIRRE, A. M., MENDEZ, C. A., ESPUNA, A. (2012) Improving supply chain planning in a competitive environment. Computers & Chemical Engineering, 42, 178-188.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.