K. B. Mouna, Y. Boulaksil
In a global context, uncertainties of international factors such as corporate income taxes, duties and demand must be considered when designing supply chain networks. In this paper, we take into account these uncertainties when modeling and solving a dynamic facility location problem (FLP). The objective is to determine the best locations for distribution centers in such a way to maximize after-tax profits. First, we propose a classification of the relevant literature with a focus on international FLP considering uncertainties. Then, we present a stochastic MILP formulation of the problem, where uncertainties are modeled through discrete scenarios with known probabilities of occurrence. We develop an extensive computational analysis for the case of a multinational company that is planning to expand its supply chain. The aim of our numerical experiments is to analyze the impact of the international factors on the supply chain network configuration within an uncertain global environment.
Keywords: International facility location, Supply Chain, Stochastic MILP Formulation
Scheduled
TD2 Supply Chain Management
May 31, 2016 3:00 PM
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