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Modeling defaults of companies in multi-stage supply chain networks

  • Mizgier, Kamil J.
  • Wagner, Stephan M.
  • Holyst, Janusz A.
Registered author(s):

    The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.

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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 135 (2012)
    Issue (Month): 1 ()
    Pages: 14-23

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    Handle: RePEc:eee:proeco:v:135:y:2012:i:1:p:14-23
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

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    1. Michael R. Baye & John Morgan & Patrick Scholten, 2006. "Information, Search, and Price Dispersion," Working Papers 2006-11, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    2. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2009. "Supplier default dependencies: Empirical evidence from the automotive industry," European Journal of Operational Research, Elsevier, vol. 199(1), pages 150-161, November.
    3. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    4. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    5. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
    6. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    7. Yu, Chian-Son & Li, Han-Lin, 2000. "A robust optimization model for stochastic logistic problems," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 385-397, March.
    8. Chatfield, Dean C. & Harrison, Terry P. & Hayya, Jack C., 2009. "SCML: An information framework to support supply chain modeling," European Journal of Operational Research, Elsevier, vol. 196(2), pages 651-660, July.
    9. Henry Schellhorn & Didier Cossin, 2004. "Credit Risk in a Network Economy," FAME Research Paper Series rp106, International Center for Financial Asset Management and Engineering.
    10. Peter Bak & Kan Chen & Jose Scheinkman & Michael Woodford, 1992. "Aggregate Fluctuations from Independent Sectoral Shocks: Self-Organized Criticality in a Model of Production and Inventory Dynamics," NBER Working Papers 4241, National Bureau of Economic Research, Inc.
    11. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
    12. D.Helbing & S.Lämmer & T.Brenner & U.Witt, 2004. "Network-Induced Oscillatory Behavior in Material Flow Networks and Business Cycles," Papers on Economics and Evolution 2004-08, Philipps University Marburg, Department of Geography.
    13. Luis A. Nunes Amaral & Brian Uzzi, 2007. "Complex Systems--A New Paradigm for the Integrative Study of Management, Physical, and Technological Systems," Management Science, INFORMS, vol. 53(7), pages 1033-1035, July.
    14. Wagner, Stephan M. & Friedl, Gunther, 2007. "Supplier switching decisions," European Journal of Operational Research, Elsevier, vol. 183(2), pages 700-717, December.
    15. Juan Delgado & Michael Waterson, 2003. "Tyre price dispersion across retail outlets in the UK," Journal of Industrial Economics, Wiley Blackwell, vol. 51(4), pages 491-509, December.
    16. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    17. Troncoso, Juan J. & Garrido, Rodrigo A., 2005. "Forestry production and logistics planning: an analysis using mixed-integer programming," Forest Policy and Economics, Elsevier, vol. 7(4), pages 625-633, May.
    18. Aleksiejuk, Agata & Hołyst, Janusz A., 2001. "A simple model of bank bankruptcies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 198-204.
    19. Ambrosino, Daniela & Grazia Scutella, Maria, 2005. "Distribution network design: New problems and related models," European Journal of Operational Research, Elsevier, vol. 165(3), pages 610-624, September.
    20. Akanle, O.M. & Zhang, D.Z., 2008. "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Elsevier, vol. 115(2), pages 444-460, October.
    21. Weisbuch, Gérard & Battiston, Stefano, 2007. "From production networks to geographical economics," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 448-469.
    22. Nagatani, Takashi & Helbing, Dirk, 2004. "Stability analysis and stabilization strategies for linear supply chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(3), pages 644-660.
    23. Anosike, A.I. & Zhang, D.Z., 2009. "An agent-based approach for integrating manufacturing operations," International Journal of Production Economics, Elsevier, vol. 121(2), pages 333-352, October.
    24. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
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