Bullwhip effect analysis by simulation experiments in echelon under (R, s, S) inventory policy

In order to improve their performance on market, modern companies and supply chains are focused to reduce all excess costs, especially those related to inventories and logistics. However, reducing such costs must be taken into consideration seriously, since there are many difficult-to -predict interdependencies between variables of periodic (R, s, S) review inventory systems. In order to set up the inventory system in most optimal manner or predict its behavior, simulation experiments should be executed.