Una posible causa es que usualmente los modelos de optimización de cadenas de abastecimiento son determinísticos y lineales o enteros-mixtos lineales, mientras que los modelos de pronósticos y sistemas de control de inventarios son estocásticos y no-lineales. La consideración explícita de los costos de mantenimiento del inventario para el diseño estratégico de cadenas de abastecimiento no ha sido suficientemente abordada en la literatura científica. Keywords: Network analysis, inventories, optimization, simulation models.

$square root law of inventory management$

The results suggest that the SRL should not be used unless unusual assumptions hold and that potential functions are a very good approximation to consider inventory costs for supply chain configuration. Three strategies to include inventory costs in the objective function were analyzed: The Square Root Law (SRL), the potential functions that relate average inventory with warehouse throughput, and the estimation of average inventories by simulation. This article presents a practical strategy that considers an item-by-item inventory control system by means of a Monte Carlo simulation model as a starting point to include inventory holding costs in a supply chain optimization model. It is clear, however, that inventory costs might have a significant impact on optimal supply chain configuration and on distribution systems expansion or contraction. A possible cause is that usually supply chain optimization models are deterministic and linear or mixed-integer linear, while forecasting methods and inventory control systems are stochastic and non-linear. The explicit consideration of inventory holding costs for the strategic design of supply chains has not been sufficiently addressed in scientific literature.

Square root law of inventory management