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2019 | 10 | nr 2 | 253--272
Tytuł artykułu

Economic Analysis of Implementing VMI Model Using Game Theory

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research background: The article deals with implementing VMI between the supplier and customer. To assess whether the system will be implemented, the evolution game theory is used. The contribution is based on the limitations of the study of the evolutionary game theory approach to modelling VMI policies (Torres et al., 2014) and its later extension, The evolutionary game theory approach to modelling VMI policies (Torres & García-Díaz, 2018). It aims is to complement the studies and provide a comprehensive picture of the issue.
Purpose of the article: The main objective of the contribution is to respond to the question whether the VMI system will be introduced between the supplier and customer.
Methods: In the first phase, the matrix is analysed from the point of view of the game meaning and its limit parameters. The limit parameters are set taking into account the economic reality. The only examined states of the matrix are those where the result is not obvious. For the purposes of the contribution, we work with a 5-year period. A new software capable of calculating evolutionary focus and their stability is created. Sensitivity analysis is carried out for the individual parameters that affect the system behaviour.
Findings & Value added: Value added is a complex description of the system and complementation of previous studies in this field. VMI is confirmed. The results obtained can be used for practical management, so that the managers are able to identify what the actual costs are and what the probability of introducing the sys-tem is. At the same time, they can identify the parameters that can be influenced by them and observe their impact on the shift of the system introduction probability. (original abstract)
Rocznik
Tom
10
Numer
Strony
253--272
Opis fizyczny
Twórcy
  • Institute of Technology & Business in Ceske Budejovice, Czech Republic
  • Institute of Technology & Business in Ceske Budejovice, Czech Republic
  • University of Zilina, Slovak Republic
  • University of Zilina, Slovak Republic
Bibliografia
  • Barari, S., Agarwal, G., Zhang, W. C., Mahanty, B., & Tiwari, M. K. (2012). A decision framework for the analysis of green supply chain contracts: an evolutionary game approach. Expert Systems with Applications, 39(3). doi: 10.1016/j.eswa.2011.08.158.
  • Bazan E., Jaber M. Y., & Zanoni S. (2017). Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms. International Journal of Production Economics, 183. doi: 10.1016/j.ijpe.2016.07.009.
  • Carlos P. R., Cuesta, J. A., & Sánchez, A. (2009). Evolutionary game theory: temporal and spatial effects beyond replicator dynamics. Physics of Life Reviews, 6(4). doi: 10.1016/j.plrev.2009.08.001.
  • Debroy, S., Samanta, P., Bashir, A., & Chatterjee, M. (2019). SpEED-IoT: spectrum aware energy efficient routing for device-to-device IoT communication. Future Generation Computer Systems - the International Journal of E-science, 93. doi: 10.1016/j.future.2018.01.002.
  • Fisher, M. (1997). What is the right supply chain for your product? Harvard Business Review, 75(2).
  • Friedman, D. (1991). Evolutionary games in economics. Econometrica, 59(3). doi: 10.2307/2938222.
  • Bergantiños, G., & Leticia L. (2019). How to apply penalties to avoid delays in projects. European Journal of Operational Research, 275(2). doi: 10.1016/j.ejor.2018.11.056.
  • Heissler, H., Valenčík, R., & Wawrosz, P. (2010). Microeconomics intermediate course. 1. Prague: University of Finance and Administration.
  • Chetna, Ch., & Singh, A. (2018). Modeling green supply chain coordination: current research and future prospects. Benchmarking: An International Journal, 25(9). doi: 10.1108/BIJ-10-2017-0275.
  • Chvoj, M. (2011). Advanced game theory in the world around us. Prague: Grada.
  • Jiang, C., Chen, Y., & Liu, K. R. (2014). Graphical evolutionary game for information diffusion over social networks. Journal of Selected Topics in Signal Processing, 8(4). doi: 10.1109/JSTSP.2014.2313024.
  • Karlin, S., & Lessard, S. (1986). Theoretical studies on sex ratio evolution. Princeton University Press.
  • Maynard, S. J., & Price, G. R. (1973). The logic of animal conflict. Nature, 246.
  • Smith, J. M. (1974). The theory of games and the evolution of animal conflicts. Journal of Theoretical Biology, 47(1). doi: 10.1016/0022-5193(74)90110-6.
  • McKenzie, A. J. (2009). Evolutionary game theory. In: N. Z. Edward (Ed.). The Stanford Encyclopedia of Philosophy. Retrieved from https://plato.stanford.edu/archives/fall2009/entries/game-evolutionary/ (20.02.2019).
  • Naini, S. G. J., Aliahmadi, A. R., & Jafari-Eskandari, M. (2011). Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: a case study of an auto industry supply chain. Resources Conservation and Recycling, 55(6). doi: 10.1016/j.resconrec.2010.10.008.
  • Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: the effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1). doi: 10.1016/j.ijpe.2011.09.001.
  • Sandholm, W. H., Dokumaci, E., & Franchetti, F. (2012). Dynamo: diagrams for evolutionary game dynamics. Retrieved from http://www.ssc.wisc.edu/~whs/dynamo (09.02.2019).
  • Selldin, E., & Olhager, J. (2007). Linking products with supply chains: testing Fisher's model. Supply Chain Management - An International Journal, 12(1). doi: 10.1108/13598540710724392.
  • Shen, L., Govindan, K., Borade, A., Diabat, A., & Kannan, D. (2013). An evaluation of vendor managed inventory practices from small and medium Indian enterprises. Journal of Business Economics and Management, 14(1). doi: 10.3846/16111699.2012.749805.
  • Smith, J. M. (1982). Evolution and the theory of games. Cambridge University Press, Cambridge.
  • Stehel, V. (2018). Using game theory in business management. University of Žilina. Dissertation thesis.
  • Tian, Y., Govindan, K., & Zhu, Q. (2014). A system dynamics model based on evolutionary game theory for green supply chain management diffusion among Chinese manufacturers. Journal of Cleaner Production, 80(1). doi: 10.1016/j.jclepro.2014.05.076.
  • Torres, F., & García-Díaz, C. (2018). Evolutionary dynamics of two-actor VMIdriven supply chains. Computational and Mathematical Organization Theory, 24(351). doi: 10.1007/s10588-017-9259-z.
  • Torres, F., Garcia-Diaz, C., & Rakoto-Ravalontsalama, N. (2014). An evolutionary game theory approach to modeling VMI policies. IFAC Proceedings, 47(3).
  • Zhu, Q. H., & Dou, Y. J. (2007). Evolutionary game model between governments and core enterprises in greening supply chains. Systems Engineering-Theory & Practice, 27(12). doi: 10.1016/S1874-8651(08)60075-7.
Typ dokumentu
Bibliografia
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