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Global supply chain network dynamics with multicriteria decision-making under risk and uncertainty

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  • Nagurney, Anna
  • Matsypura, Dmytro

Abstract

In this paper, we consider the dynamics of a global supply chain network economy in the presence of risk and uncertainty in which distinct speeds of adjustment are included. We assume three tiers of decision-makers: manufacturers, distributors, and retailers, who acquire the product in order to satisfy the demand at the demand markets. The manufacturers, distributors, and retailers may be based in the same or in different countries and may transact in different currencies. We allow for electronic transactions in the form of electronic commerce between the manufacturers and the retailers as well as between the distributors and the retailers since the retailers may be physical or virtual. In addition, supply-side risk and demand-side risk are handled in our formulation with the former being expressed as a multicriteria decision-making problem for each manufacturer and distributor (with distinct weights associated with the criteria) and the latter being handled with the use of uncertain demands. The proposed framework allows for the modeling and theoretical analysis of such global supply chain networks, which involve competition within a tier of decision-makers but cooperation between tiers. Numerical examples are provided for illustrative purposes.

Suggested Citation

  • Nagurney, Anna & Matsypura, Dmytro, 2005. "Global supply chain network dynamics with multicriteria decision-making under risk and uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 585-612, November.
  • Handle: RePEc:eee:transe:v:41:y:2005:i:6:p:585-612
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    Citations

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    Cited by:

    1. Longfei He & Qinxu Gu & Junsong Bian & Kin Keung Lai & Xiao Zhang, 2023. "To Pool or Not to Pool in Carbon Quotas: Analyses of Emission Regulation and Operations in Supply Chain Supernetwork under Cap-and-Trade Policy," Annals of Operations Research, Springer, vol. 324(1), pages 311-353, May.
    2. Arcelus, F.J. & Gor, Ravi & Srinivasan, G., 2013. "Foreign exchange transaction exposure in a newsvendor setting," European Journal of Operational Research, Elsevier, vol. 227(3), pages 552-557.
    3. Anna Nagurney & Dana Hassani & Oleg Nivievskyi & Pavlo Martyshev, 2023. "Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities," Journal of Global Optimization, Springer, vol. 87(1), pages 1-30, September.
    4. Cruz, Jose M., 2008. "Dynamics of supply chain networks with corporate social responsibility through integrated environmental decision-making," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1005-1031, February.
    5. Li, Dong & Nagurney, Anna & Yu, Min, 2018. "Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products," Omega, Elsevier, vol. 81(C), pages 150-168.
    6. Liu, Zugang & Nagurney, Anna, 2011. "Supply chain outsourcing under exchange rate risk and competition," Omega, Elsevier, vol. 39(5), pages 539-549, October.
    7. Rezapour, Shabnam & Hassani, Ashkan & Farahani, Reza Zanjirani, 2015. "Concurrent design of product family and supply chain network considering quality and price," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 18-35.
    8. Pezderka, Noemi & Sinkovics, Rudolf R., 2011. "A conceptualization of e-risk perceptions and implications for small firm active online internationalization," International Business Review, Elsevier, vol. 20(4), pages 409-422, August.
    9. Possamai, Janaína Poffo & Pescador, Andresa & Mayerle, Sérgio Fernando & Neiva de Figueiredo, João, 2015. "Optimal commodity price stabilization as a multi-period spatial equilibrium problem: A supernetwork approach with public buffer stocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 289-310.
    10. Rezapour, Shabnam & Farahani, Reza Zanjirani & Dullaert, Wout & De Borger, Bruno, 2014. "Designing a new supply chain for competition against an existing supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 124-140.
    11. Abroon Qazi & Mecit Can Emre Simsekler & Steven Formaneck, 2023. "Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation," Annals of Operations Research, Springer, vol. 322(1), pages 241-272, March.
    12. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    13. Niu, Baozhuang & Shen, Zifan & Xie, Fengfeng & Liu, Yaoqi & Xu, Xin, 2022. "Real-time payment in cross-border operations considering local competition and tax-planning," International Journal of Production Economics, Elsevier, vol. 245(C).
    14. Zhu, Xiaowei, 2016. "Managing the risks of outsourcing: Time, quality and correlated costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 121-133.
    15. Anna Nagurney & Deniz Besik & Ladimer S. Nagurney, 2019. "Global supply chain networks and tariff rate quotas: equilibrium analysis with application to agricultural products," Journal of Global Optimization, Springer, vol. 75(2), pages 439-460, October.

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