Complexity

Complex System Modelling in Engineering Under Industry 4.0


Publishing date
01 Jan 2022
Status
Closed
Submission deadline
20 Aug 2021

Lead Editor

1Louisiana College, Pineville, USA

2Central South University, Changsha, China

3University of Management and Technology, Lahore, Pakistan

This issue is now closed for submissions.

Complex System Modelling in Engineering Under Industry 4.0

This issue is now closed for submissions.

Description

The time for Industry 4.0 is coming. Smart manufacturing has become one of the most funded and advanced technological research areas in developing and developed countries. It encompasses all engineering fields such as civil and environmental engineering, mechanical engineering, electronic engineering, medical engineering, etc. Progressively, we are experiencing exciting and rapidly evolving engineering systems leaning towards automation, intelligence, and sustainability.

In-depth understanding of complex engineering systems plays an important role in the future development of various engineering fields under Industry 4.0. Modelling complex engineering systems to further promote smart manufacturing has become interesting for scholars and engineers from both academia and industry backgrounds. Emerging complex system modelling techniques, such as big data, fast computing, machine learning, and deep learning address practical engineering problems and provide solutions for specific engineering problems with universal methodologies. It is therefore of great significance to develop and innovate efficient modelling techniques of complex engineering systems under Industry 4.0.

The aim of this Special Issue is to solicit original research articles offering a timely opportunity to scholars and engineers to discuss, share, and summarize current innovations in modelling techniques of complex engineering systems under Industry 4.0. This Special Issue particularly focusses on trends in modelling techniques for smart manufacturing within various engineering fields. Review articles summarising advances in complex engineering system models under Industry 4.0 are also welcome. We hope that this Special Issue helps solve some practical engineering problems.

Potential topics include but are not limited to the following:

  • Complex systems and dynamics analysis in engineering
  • Complex engineering system analysis and control
  • Automation, intelligence, and sustainability in complex engineering systems
  • Modelling complex engineering systems and smart manufacturing
  • Machine learning for complex engineering system modelling
  • Deep learning for complex engineering system modelling and control
  • Artificial intelligence for complex engineering system modelling
  • Fast computing for complex engineering system modelling
  • Big data technologies for complex engineering system modelling and control

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5559857
  • - Research Article

Applying the Virtual Input-Output Method to the Identification of Key Nodes in Busy Traffic Network

Fan Yang | Fei Yan | ... | Yingxin Gan
  • Special Issue
  • - Volume 2021
  • - Article ID 9994318
  • - Research Article

Psychological Contract of Buyer-Supplier Relationships in Construction Projects: An Analysis Based on Game Theory

Qi Luo | Kun Lu
  • Special Issue
  • - Volume 2021
  • - Article ID 5535864
  • - Research Article

Research and Analysis on the Index System of Digital Economy in Anhui Province

Zhong Wang | Peibei Shi
  • Special Issue
  • - Volume 2021
  • - Article ID 5588018
  • - Research Article

Research on Risk Identification System Based on Random Forest Algorithm-High-Order Moment Model

Li-Jun Liu | Wei-Kang Shen | Jia-Ming Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 6695461
  • - Research Article

An Implementation of Lipschitz Simple Functions in Computer Algebra System Singular

Yanan Liu | Muhammad Ahsan Binyamin | ... | Jia-Bao Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 5574305
  • - Research Article

On Spillover Effect of Systemic Risk of Listed Securities Companies in China Based on Extended CoVaR Model

Ze-Jiong Zhou | Shao-Kang Zhang | ... | Jia-Ming Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 5520030
  • - Research Article

Development Assessment of Higher Education System Based on TOPSIS-Entropy, Hopfield Neural Network, and Cobweb Model

Xian-Bei Liu | Yu-Jing Zhang | ... | Jia-Ming Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 5553935
  • - Research Article

[Retracted] Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

Feng Xu | Yu-Ang Du | ... | Jia-Ming Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 5531935
  • - Research Article

Practical Research on the Application of Sponge City Reconstruction in Pocket Parks Based on the Analytic Hierarchy Process

Kun Ding | Yuan Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5593967
  • - Research Article

An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression

Jing-Jing Wang | Yan Liang | ... | Jia-Ming Zhu
Complexity
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Acceptance rate11%
Submission to final decision120 days
Acceptance to publication21 days
CiteScore4.400
Journal Citation Indicator0.720
Impact Factor2.3
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