Design of Self-regulating Planning Model

Purpose: This research aims to develop a dynamic and self-regulated application that considers demand forecasts, based on linear regression as a basic algorithm for machine learning. Methodology: This research uses aggregate planning and machine learning along with inventory policies through the sol...

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Autores:
Espitia Rincon, Maria Paula
Sanabria Martínez, David Alejandro
Abril Juzga, Kevin Alberto
Santos Hernández, Andrés Felipe
Tipo de recurso:
Part of book
Fecha de publicación:
2019
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
spa
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1855
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1855
Palabra clave:
Aprendizaje automático (Inteligencia artificial) - Modelos matemáticos
Regresión lineal
Análisis de regresión
Programación lineal
Machine learning - Mathematical models
Linear Programming
Linear Regression,
Aggregate Planning
Cost Minimization
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2