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 2023
  • - Article ID 9831919
  • - Retraction

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

Complexity
  • Special Issue
  • - Volume 2023
  • - Article ID 9843480
  • - Retraction

Retracted: An Intelligent Diagnosis System for English Writing Based on Data Feature Extraction and Fusion

Complexity
  • Special Issue
  • - Volume 2022
  • - Article ID 2158255
  • - Research Article

A Fuzzy DEMATEL-ANP-Based Approach to Prioritize Activities in Enterprise Architecture

Jamshid Afshani | Abbas Karimi | ... | Faraneh Zarafshan
  • Special Issue
  • - Volume 2022
  • - Article ID 3142579
  • - Research Article

Research on the Comprehensive Evaluation of the Higher Education System Based on FCE and ARMA Models

Xin-Hong Xu | Lei Ye | ... | Jing-Jing Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 5382999
  • - Research Article

Analysis on Indoor Ventilation Environment of House Type Based on Architectural Aesthetics

Geng-Yang Xu | Chang-Bing Chen | Zheng-Qun Cai
  • Special Issue
  • - Volume 2022
  • - Article ID 2771059
  • - Research Article

Computing Some Degree-Based Topological Indices of Honeycomb Networks

Lili Gu | Shamaila Yousaf | ... | Adnan Aslam
  • Special Issue
  • - Volume 2022
  • - Article ID 5584167
  • - Research Article

The Laplacian Spectrum, Kirchhoff Index, and the Number of Spanning Trees of the Linear Heptagonal Networks

Jia-Bao Liu | Jing Chen | ... | Shaohui Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 8603515
  • - Research Article

Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production

László Nagy | Tamás Ruppert | János Abonyi
  • Special Issue
  • - Volume 2021
  • - Article ID 3662204
  • - Research Article

Big Data-Driven Macroeconomic Forecasting Model and Psychological Decision Behavior Analysis for Industry 4.0

Jie Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 8321030
  • - Research Article

Application of the Big Data Analysis Model in Higher Education Talent Training Quality Evaluation

Lijun Li | Wentao Wang | Fei Bian
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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