Similar Items

Cover Image

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...

Full description

Saved in:
Bibliographic Details
Published in:Artificial Intelligence and Digital Transformation in Supply Chain Management
Institution:Escuela Colombiana de Ingeniería
Main Authors: Espitia Rincon, Maria Paula, Sanabria Martínez, David Alejandro, Abril Juzga, Kevin Alberto, Santos Hernández, Andrés Felipe, Manufactura y Servicios
Format: Capítulo - Parte de Libro
Language:Español
Published: Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg International Conference of Logistics (HICL) 2019
Subjects:
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
Online Access:https://repositorio.escuelaing.edu.co/handle/001/1855
Tags: Add Tag
No Tags, Be the first to tag this record!