Examinando por Materia "Flujo de materiales"

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  • Miniatura
    PublicaciónAcceso abierto
    Improvement of the demand forecasting methods for vehicle parts at an international automotive company.
    (Universidad del Valle, 2018) Torres Mosquera, John Anderson; Vidal Holguín, Carlos Julio; Loaiza Acuña, Edwin
    This study aims to improve the forecasting accuracy for the monthly material flows of an area forwarding based inbound logistics network for an international automotive company. Due to human errors, short-term changes in material requirements or data bases desynchronization the Material Requirement Planning (MRP) cannot be directly derived from the Master Production Schedule (MPS). Therefore, the inbound logistics flows are forecast. The current research extends the forecasting methods¿ scope already applied by the company namely, Naïve, ARIMA, Neural Networks, Exponential Smoothing and Ensemble Forecast (an average of the first four methods) by allowing the implementation of three new algorithms: The Prophet Algorithm, the Vector Autoregressive (Multivariate Time Series) and Automated Simple Moving Average, and two new data cleaning methods: Automated Outlier Detection and Linear Interpolation. All the methods are structured in a software using the programming language R. The results show that as of April 2018, 80.1% of all material flows have a Mean Absolute Percentage Error (MAPE) of less than or equal to 20%, in comparison with the 58.6% of all material flows which had the same behavior in the original software in February 2018. Furthermore, the three new algorithms represent now 29% of all forecasts. All the analysis realized in this research were made with actual data from the company, and the upgraded software was approved by the logistics analysts to make all future material flow forecasts.
  • Miniatura
    PublicaciónAcceso abierto
    Propuesta de localización de centros de distribución considerando decisiones de pre- posicionamiento de inventario para la ayuda humanitaria en el municipio de Tuluá, Valle del Cauca
    (Universidad del Valle, 2024) Cárdenas Cardona, Juan Esteban; Rojas Trejos, Carlos Alberto
    El trabajo de grado desarrolla una estrategia de localización de centros de distribución en Tuluá, Valle del Cauca, para el pre-posicionamiento de inventario de ayuda humanitaria en escenarios de inundación. Se implementa un modelo P-mediana con enfoque de función multiobjetivo, considerando la minimización de tiempos de respuesta y la optimización en la asignación de demanda de albergues temporales a centros de distribución seleccionados. Incluye análisis de escenarios, justificación metodológica y resultados aplicados a la logística humanitaria.