Deep learning-based model predictive control for real-time supply chain optimization-Reference-Cited by-同舟云学术

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Deep learning-based model predictive control for real-time supply chain optimization

Published:2023-09 Issue: Volume:129 Page:103049
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Wang Jing,Swartz Christopher L.E.,Huang Kai

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference62 articles.

1. Supply chain optimisation for the process industries: Advances and opportunities;Papageorgiou;Comput. Chem. Eng.,2009

2. Robust decision making for hybrid process supply chain systems via model predictive control;Mastragostino;Comput. Chem. Eng.,2014

3. Defining supply chain management;Mentzer;J. Bus. Logist.,2001

4. Enterprise-wide optimization: A new frontier in process systems engineering;Grossmann;AIChE J.,2005

5. Process industry supply chains: Advances and challenges;Shah;Comput. Chem. Eng.,2005

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multiparametric approach to accelerating ReLU neural network based model predictive control;Control Engineering Practice;2024-10

2. Deep learning based model predictive controller on a magnetic levitation ball system;ISA Transactions;2024-06

3. Integration of chemical process operation with energy, global market, and plant systems infrastructure;Computers & Chemical Engineering;2024-03

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