@article{Ternero_Sepulveda-Rojas_Alfaro_Fuertes_Vargas_2023, title={INVENTORY MANAGEMENT WITH STOCHASTIC DEMAND: CASE STUDY OF A MEDICAL EQUIPMENT COMPANY}, volume={34}, url={https://sajie.journals.ac.za/pub/article/view/2668}, DOI={10.7166/34-1-2668}, abstractNote={<p>This research proposes an inventory management system based on a periodic review model for a medical equipment company. The work aims to reduce inventory volume and out-of-stock and to improve service levels. The proposed methodology is a combined ABC/XYZ classification using the patterns and magnitude of demand under the constraints of spare parts cost. For the ABC/XYZ classification, we propose a model to forecast demand; and we evaluate eight forecasting methods to adjust the classification characteristics. The results obtained allow the reduction of arrears, an increased service level, and a decrease in average inventory.</p>}, number={1}, journal={The South African Journal of Industrial Engineering}, author={Ternero, Rodrigo and Sepulveda-Rojas, Juan Pedro and Alfaro, Miguel and Fuertes, Guillermo and Vargas, Manuel}, year={2023}, month={May}, pages={131–142} }