A two-stage stochastic programming for the cooperative supply network planning
Résumé
Nowadays, managers are looking for adequate strategies and advanced logistics management models in order to achieve their competitiveness and improve their overall performance. The current literature on supply network planning has not adequately incorporated sustainability factors, uncertainties, and the integration of various levels of planning (operational, tactical and strategic). In this paper, we address the integrated planning of logistics networks in an uncertain and sustainable environment. The problem is formulated as a two-stage stochastic programming which minimizes the logistics costs and evaluates a posteriori the CO2 emissions and the transport accident risk. This model is solved using the Sample Average Approximation (SAA) approach. Numerical experiments are performed using CPLEX to study the impact of different parameters on sustainability aspects.