Multi-product inventory modeling with demand forecasting and Bayesian optimization

The complexity of supply chains requires advanced methods to schedule companies’ inventories. This paper presents a comparison of model forecasts of demand for multiple products, choosing the best among the following: autoregressive integrated moving average (ARIMA), exponential smoothing (ES), a Ba...

Full description

Autores:
Valencia Cárdenas, Marisol
Díaz Serna, Francisco Javier
Correa Morales, Juan Carlos
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Tecnológico de Antioquia
Repositorio:
Repositorio Tdea
Idioma:
eng
OAI Identifier:
oai:dspace.tdea.edu.co:tdea/4015
Acceso en línea:
https://dspace.tdea.edu.co/handle/tdea/4015
Palabra clave:
Cadenas de suministro
Chaîne d'approvisionnement
Supply chains
Prognosis
Pronóstico
Prognóstico
Pronostic
Modelos dinámicos lineales
Dynamic linear models
Estadística bayesiana
Bayesian statistics
Modelos de inventario
Inventory models
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/