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A Global Supply Chain Network Equilibrium Model with Stochastic Currency Choice

A Global Supply Chain Network Equilibrium Model with Stochastic Currency Choice. Reporter: Li Zhu Date: 2009-06-06. Background. Increasing globalization new opportunities new risks and uncertainties The dynamic impact of stochastic exchange rate volatility on global supply chain network

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A Global Supply Chain Network Equilibrium Model with Stochastic Currency Choice

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  1. A Global Supply Chain Network Equilibrium Model with Stochastic Currency Choice Reporter: Li Zhu Date: 2009-06-06

  2. Background • Increasing globalization • new opportunities • new risks and uncertainties • The dynamic impact of stochastic exchange rate volatility on global supply chain network • no difference in selecting payment currencies • current financial crisis

  3. Related work • The classical supply chain network equilibrium model • Nagurney, A., Dong, J., Zhang, D., “A supply chain network equilibrium model,” Transportation Research Part E, Vol. 38, No. 5, pp. 281-303, 2002 • In the context of electronic commerce, uncertain supply and demand risk

  4. The main work • The relationship between supply chain network and transportation network • Stochastic payment currency choice can be transformed to the traveler’s path selection problem

  5. Model Formulation (manufacturer) • Maximizing a manufacturer ’s profit:

  6. Model Formulation (manufacturer) • Manufacturers’ equilibrium transaction with stochastic currency choice :

  7. Model Formulation (manufacturer)

  8. Model Formulation (distributor) • Maximizing a distributor ’s profit:

  9. Model Formulation (distributor) • Distributors equilibrium transaction with stochastic currency choice :

  10. Model Formulation (distributor)

  11. Model Formulation (retailer) • Maximizing a retailer ’s profit:

  12. Model Formulation (retailer)

  13. The equilibrium conditions

  14. A prediction-correction algorithm • The algorithm generates two predictors which satisfy two acceptance criteria. • That projection-based algorithm merely requires dynamic regulation of step length, avoiding excessive iterations. • It is a light-weight approach, which can be easily applied in practice. • Comparing to the common Euler method our method is proved having a better global convergence.

  15. Numerical simulation results

  16. With an increase of  , are of the same trend in which the vibration rate of curve increases dramatically. Sensitivity analysis  a smaller means a bigger subjective observation error of the currency dealing cost

  17. Conclusions • Summary • a new three-tier dynamic global supply chain equilibrium network with stochastic currency choice • different payment currency selection preferences as stochastic variables (diverse currency exchange rate risks and fluctuations) • Future work • time dependent costs and demand functions • the characteristics of products in transactions • the robustness in face of sudden demands.

  18. Thank you!

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