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...
- 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/