A Model for Decision-making to Parameterizing Demand Driven Material Requirement Planning Using Deep Reinforcement Learning
Authors
Mustapha El Marzougui
mustapha.elmarzougui@gmail.com
Laboratory of Electrical and Industrial Engineering, Information Processing, Computing and Logistics, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
Najat Messaoudi
Laboratory of Electrical and Industrial Engineering, Information Processing, Computing and Logistics, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
Wafaa Dachry
Laboratory of Electrical and Industrial Engineering, Information Processing, Computing and Logistics, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
Laboratory of Engineering, Industrial Management and Innovation, FST, Hassan I University, Settat, Morocco
Bahloul Bensassi
Laboratory of Electrical and Industrial Engineering, Information Processing, Computing and Logistics, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco
Language: English
Page range: 377 - 393
Submitted on: Dec 20, 2023
Accepted on: Aug 10, 2024
Published on: Sep 7, 2024
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2024 Mustapha El Marzougui, Najat Messaoudi, Wafaa Dachry, Bahloul Bensassi, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.