Redesign of supply chains for agricultural companies considering multiple scenarios by the methodology of sample average approximation

This paper considers the supply chains' problem for agricultural companies considering multiple scenarios using methodology of sample average approximation (SAA). We consider an established chain, in which central consists determination closure and consolidation distribution centres. In this work, a stochastic mathematical model representative chain has been formulated constraints nodes variations customers' demand. The solved SAA methodology, examines integration Monte Carlo simulation optimisation techniques. efficiency proven with real information obtained from Colombian multinational company. results confirm model's effectiveness positive impact on redesign belonging to sector.