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In recent years, growth of financial and credit institutions such as banks, the competition among them and customer satisfaction has made it essential to use modern scientific methods to choose the optimum location for them. Making optimum decision in choosing the location of the financial institution reduces costs, increases efficiency and competitiveness with other companies. In some real-world problems, the decision to locate the facility is made by independent decision-makers that in addition to maximizing the benefits, compete to maintain or increase their market share. Therefore, a new branch in location has addressed the impact of competitive conditions in determining the optimal location of facilities. The present study aims to select the location of bank branches according to the existing competitors in the market and organizations that are likely to enter the market based on game theory and cooperative game approach. For this purpose, a model of game theory is offered using which one can determine the location of the new facility and obtain an equilibrium based on the concept of Nash equilibrium for the entire series. After the structure of cooperative games, value of each player is calculated according to the intended strategies for each player and coalitions”™ utility. Finally, the decision-making process is done and the optimal point to establish bank branches are selected.
Referencias
ï€ Abdoli, G. (2014). “Game Theory and It”™s Applications (Incomplete Information, Evoloutionary and Cooperative Games)”. (Second Edition), Edited by Samt, (chapter 9), (pp.314-349). Tehran: WWW. Samt.ac.ir, ISBN 9789645308405
ï€ Ahmadi J., Azad N. (2010) “Incorporating location, routingand inventory decisions in supply chain network design”, Transportation Research, No. 46, pp. 582-597
ï€ Alhaffa A. and Abdulal W., . (2011) _A Market-Based Study of Optimal ATM”™S Deployment Strategy, International Journal of Machine Learning and Computing, Vol. 1, No.1, pp. 104-112
ï€ Ashtiani, M. (2016). Competitive location: a state-of-art review. International Journal of Industrial Engineering Computations, 7(1), 1-18
ï€ Barron, E.N., (2013). Game theory: An Introduction. (2nd ed). New jersey: John Wiley & Sons, Inc, ISBN 9781118216934
ï€ Beresnev V. L., Melnikov A. A., (2011), Approximate algorithms for the competitive facility location problem, Journal of Applied and Industrial Mathematics 5, 180-190.
ï€ Beresnev V. L., Suslov V. I., (2010), A mathematical model of market competition, Journal of Applied and Industrial Mathematics 4, 147-157.
ï€ Cardinal, J., & Hoefer, M. (2010). Non-cooperative facility location and covering games. Theoretical Computer Science, 411(16), 1855-1876.
ï€ Cheng, Y., Yu, W., & Zhang, G. (2014). Strategy-proof approximation mechanisms for an obnoxious facility game on networks. Theoretical Computer Science, 497, 154-163.
ï€ Cinar, N., & Ahiska, S. S. (2010). A decision support model for bank branch location selection. International Journal of Human and Social Sciences, 5(13), 846-851.
ï€ Díaz-Báñez, J. M., Heredia, M., Pelegrín, B., Pérez-Lantero, P., & Ventura, I. (2011). Finding all pure strategy Nash equilibria in a planar location game.European Journal of Operational Research, 214(1), 91-98.
ï€ Farahani, R. Z., SteadieSeifi, M., & Asgari, N. (2010). Multiple criteria facility location problems: A survey. Applied Mathematical Modelling, 34(7), 1689-1709
ï€ Fernández, J., & Hendrix, E. M. (2014). Recent insights in Huff-like competitive facility location and design. European Journal of Operational Research, 227(3), 581-584.
ï€ Fernández, J., Salhi, S., & Boglárka, G. (2015). Location equilibria for a continuous competitive facility location problem under delivered pricing.Computers & Operations Research, 41, 185-195.
ï€ García, M. D., Pelegrín, B., & Fernández, P. (2011). Location strategy for a firm under competitive delivered prices. The Annals of Regional Science, 47(1), 1-23.
ï€ Ghanbari, R., & Mahdavi-Amiri, N. (2011). Solving bus terminal location problems using evolutionary algorithms. Applied soft computing, 11(1), 991-999.
ï€ Godinho, P., & Dias, J. (2010). A two-player competitive discrete location model with simultaneous decisions. European Journal of Operational Research,207(3), 1419-1432.
ï€ Godinho, P., & Dias, J. (2015). Two-player simultaneous location game: Preferential rights and overbidding. European Journal of Operational Research,229(3), 663-672.
ï€ Granot, D., Granot, F., & Raviv, T. (2011). On competitive sequential location in a network with a decreasing demand intensity. European Journal of Operational Research, 205(2), 301-312.
ï€ Groznik, A., & Heese, H. S. (2010). Supply chain interactions due to store-brand introductions: The impact of retail competition. European Journal of Operational Research, 203(3), 575-582.
ï€ Guillermo Owen. (2015).Game Theory, In International Encyclopedia of the Social & Behavioral Sciences (Second Edition), edited by James D. Wright, Elsevier, Oxford, Pages 573-581, ISBN 9780080970875
ï€ Jalali Naeeni- Seyed Gholamreza .(2014).Game Theory, (First Edition), edited by Marziye Amanat, kian, , Pages 111-133, ISBN 9786003070486
ï€ Karaganis, A., & Mimis, A. (2011). A Geographical Information System Framework for Evaluating the Optimum Location of Point-Like Facilities. Asian Journal of Information Technology, 10(4), 129-135.
ï€ Kononov, A. V., Kochetov, Y. A., & Plyasunov, A. V. (2009). Competitive facility location models. Computational Mathematics and Mathematical Physics, 49(6), 994-1009.
ï€ Konur D., Geunes J., (2012), Competitive multi-facility location games with non-identical firm and convex traffic congestion costs, Transportation Research Part E 48, 373-385.
ï€ Kucukaydin H., Aras N., Altınel I. K.,(2011), Competitive facility location problem with attractiveness adjustment of the follower: A bilevel programming model and its solution, European Journal of Operational Research 208, 206-220.
ï€ Kucukaydın H., Aras N., Altınel I. K.,(2012), A leader–follower game in competitive facility location, Computers & Operations Research 39, 437-44.
ï€ Li, G., Li, Y., Shu, J., & Xu, D. (2013). A cross-monotonic cost-sharing scheme for the concave facility location game. Journal of Global Optimization, 56(4), 1325-1334.
ï€ Lin, C. C., & Lee, S. C. (2010). The competition game on hub network design.Transportation Research Part B: Methodological, 44(4), 618-629.
ï€ Lu, X., Li, J., & Yang, F. (2010). Analyses of location-price game on networks with stochastic customer behavior and its heuristic algorithm. Journal of Systems Science and Complexity, 23(4), 701-714.
ï€ Mallozzi, L. (2011). Cooperative games in facility location situations with regional fixed costs. Optimization Letters, 5(1), 173-181.
ï€ McGarvey R. G., Cavaller T. M.,(2010), Determining the location and capacity of competitive facilities, Internatinal Journal of Mathematics in Operational Research 2, 694-723.
ï€ Miliotis, P., Dimopoulou, M., & Giannikos, I. (2002). A hierarchical location model for locating bank branches in a competitive environment. International transactions in operational research, 9(5), 549-565
ï€ Saidani, N., Chu, F., & Chen, H. (2012). Competitive facility location and design with reactions of competitors already in the market. European journal of operational research, 219(1), 9-17.
ï€ Sáiz, M. E., Hendrix, E. M., & Pelegrín, B. (2012). On Nash equilibria of a competitive location-design problem. European Journal of Operational Research, 210(3), 588-593.
ï€ Seyed Mohsen Mousavi, Seyed Taghi Akhavan Niaki (2013 ) “Capacitated location allocation problem with stochastic location and fuzzy demand: A hybrid algorithm“Applied Mathematical Modelling 32,pp. 5102 –5112
ï€ Shiode, S., Yeh, K. Y., & Hsia, H. C. (2013). Optimal location policy for three competitive facilities. Computers & Industrial Engineering, 62(3), 703-707.
ï€ Slater P. J., 1975, Maximin facility location, J. Res. Natl. Bur. Stand. Sec. B, 107- 115.
ï€ Uno T., Katagiri H., Kato K.,(2009), Competitive facility location with random demands, AIP Conference Proceedings 1174, 83-93.
ï€ Wang, X., & Ouyang, Y. (2013). A continuum approximation approach to competitive facility location design under facility disruption risks. Transportation Research Part B: Methodological, 50, 90-103.
ï€ Wolfram Elsner, Torsten Heinrich and Henning Schwardt.(2015). Chapter 2 - Tools I: An Introduction to Game Theory, In The Microeconomics of Complex Economies, edited by Wolfram Elsner, Torsten Heinrich and Henning Schwardt, Academic Press, San Diego, 2015, Pages 25-32, ISBN 9780124115859
ï€ Wu, C. H., Chen, C. W., & Hsieh, C. C. (2012). Competitive pricing decisions in a two-echelon supply chain with horizontal and vertical competition.International Journal of Production Economics, 135(1), 265-274.
ï€ http://www.mckinsey.com/search/Standard the number of bank branches per 100 thousand population is 27 bank branches (june 2016)
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