A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems-Reference-Cited by-同舟云学术

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A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems

Published:2024-10 Issue: Volume:196 Page:110507
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Nejati Erfan,Ghaedy-Heidary Ensieh,Ghasemi Amir^ORCID,Torabi S. Ali^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing;Ahuett-Garza;Manufacturing Letters,2018

2. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing;Alexopoulos;International Journal of Computer Integrated Manufacturing,2020

3. An integrated approach for strategic and tactical decisions for the emergency medical service: Exploring optimization and metamodel-based simulation for vehicle location;Amorim;Computers & Industrial Engineering,2019

4. Stochastic kriging for simulation metamodeling;Ankenman;Operations Research,2010

5. A flexible artificial neural network–fuzzy simulation algorithm for scheduling a flow shop with multiple processors;Azadeh;International Journal of Advanced Manufacturing Technology,2010

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