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