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Principal Components and Neural Networks Based Linear Regression to Determine Biomedical Equipment Maintenance Cost in the Peruvian Social Security Health System
(Springer Science and Business Media Deutschland GmbH, 2024)
Acceso restringido
In this study, multivariate linear regression models and principal component analysis, and artificial neural networks (ANN) were designed to predict the monthly cost of biomedical equipment maintenance services in the ...
Stockout Reduction Using Forecasting Methods, the EOQ Model and a Safety Stock in a Peruvian SME in the Commercial Sector
(Springer Science and Business Media Deutschland GmbH, 2024)
Acceso restringido
Effective inventory management is a constant challenge for SMEs. Stockouts represent a significant obstacle that affects the operability and profitability of these companies. The aim of this study is to develop an affordable ...