Abstract

In this paper, we develop a mixed integer programming model for a supplier selection problem in an international context. The main features that characterize the international supplier selection are first identified. We show that when operating in an international context, the supplier selection process should consider the following issues: several buyers’ sites; inventory decisions, in particular the safety stocks that are held by buyers to cope with the delivery lead time uncertainty; inventory capacity constraints in buyers’ sites; selection of transportation modes, each having a specific delivery frequency and a transportation capacity; and multiple products and multiple time periods. Then, we propose a supplier selection model that takes into account such characteristics and that is suited for the international context. Finally, we solve the model with the commercial optimization software Cplex and we perform computational experiments based on a realistic case study from the automotive industry in order to prove the solvability and the usefulness of the model. Sensitivity analyzes are also performed for a number of model parameters.

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