Mathematical Problems in Engineering

Related Theories and Practical Applications of Soft Computing in the Manufacturing Process of Industry 4.0 2021


Publishing date
01 Mar 2022
Status
Closed
Submission deadline
29 Oct 2021

Lead Editor

1R.O.C. Military Academy, Kaohsiung, Taiwan

2De La Salle University, Manila, Philippines

3University of Nottingham, Nottingham, UK

This issue is now closed for submissions.
More articles will be published in the near future.

Related Theories and Practical Applications of Soft Computing in the Manufacturing Process of Industry 4.0 2021

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Soft computing includes machine learning, computer science, and computing technologies in certain engineering disciplines. Soft computing enables research, simulation, and analysis of complex problems and phenomena. Moreover, related developmental theories can be applied and used to solve problems that occurred in the manufacturing process of Industry 4.0.

Industry 4.0 is also known as industrial internet, smart factory, or advanced manufacturing. With the assistance of new technologies such as the Internet of Things (IoT) and the wide applications of mobile technologies, organizations are generating large amounts of data in different formats at a faster rate than before. In addition, data content, process, analytical model and management of big data transformation have also emerged huge challenges and opportunities. Hence, advanced soft computing methods and decision-making techniques can be used to extract useful information and obtain effective manufacturing intelligence. They are able to make equipment automation and combine it with decision-making techniques for adopting useful rules and patterns from the big data. In addition, they are able to detect potential failures in the early stage under certain circumstances, diagnose defects, control advanced equipment/process, decrease cycle time and costs, and increase productive rate. The aim and scope can cover wide ranges of fields such as artificial intelligence (AI), robotics, Internet of Things (IoT), autonomous vehicle, 3D printing, nanotechnology, materials science, energy storage, and so on.

The aim of this Special Issue is to bring together original research and review articles regarding the latest developments, problems and challenges of the applications of soft computing in the manufacturing process of Industry 4.0.

Potential topics include but are not limited to the following:

  • Innovative methods for soft computing analysis
  • Big data machine learning in soft computing
  • Natural Language Processing (NLP) in soft computing
  • Industry 4.0 applications of soft computing
  • Potential failure and defect diagnosis and analysis in soft computing
  • Intelligent quality tools and methods in soft computing
  • Production planning and control in soft computing
  • Performance evaluation in soft computing
  • Soft computing analysis applied to industry, medical, or environment
  • Case studies of effective production and operations management

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 8513719
  • - Research Article

Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN

Warut Pannakkong | Kwanluck Thiwa-Anont | ... | Jirachai Buddhakulsomsiri
  • Special Issue
  • - Volume 2021
  • - Article ID 9724623
  • - Research Article

Uplink Spectrum Overlay Coverage Enhancement Algorithm in 5G Network

Jian-feng Jiang | Hui-jie Ding
  • Special Issue
  • - Volume 2021
  • - Article ID 4920167
  • - Research Article

Effects of Output Quality and Result Demonstrability on the Perceived Usefulness of GPS Sports Watches from the Perspective of Industry 4.0

Ming-Zhu Yuan | Jan-Wei Lin | ... | Chin-Hsien Hsu
  • Special Issue
  • - Volume 2021
  • - Article ID 3664709
  • - Research Article

A Novel Contractor Selection Technique Using the Extended PROMETHEE II Method

Kuei-Hu Chang
  • Special Issue
  • - Volume 2021
  • - Article ID 4130972
  • - Research Article

In a Stressful Social Environment, Can Using Sports Apps Relieve the Physical and Mental Stress of the Elderly? From the Perspective of Industry 4.0

Po-Fang Huan | Chih-Yen Chen | ... | Chin-Hsien Hsu
  • Special Issue
  • - Volume 2021
  • - Article ID 3723715
  • - Research Article

A Deep Learning Model of Dual-Stage License Plate Recognition Applicable to the Data Processing Industry

Chun-Liang Tung | Ching-Hsin Wang | Bo-Syuan Peng
  • Special Issue
  • - Volume 2021
  • - Article ID 4325708
  • - Research Article

An Adaptive Location-Based Tracking Algorithm Using Wireless Sensor Network for Smart Factory Environment

Po-Chih Chiu | Kuo-Wei Su | ... | Guan-Yu Lin
  • Special Issue
  • - Volume 2021
  • - Article ID 4416270
  • - Research Article

Evaluate the Consumer Acceptance of AIoT-Based Unmanned Convenience Stores Based on Perceived Risks and Technological Acceptance Models

I-Chi Wang | Chin-Wen Liao | ... | Cheng-Lin Tsai
  • Special Issue
  • - Volume 2021
  • - Article ID 7572818
  • - Research Article

Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

Kai-Chao Yao | Wei-Tzer Huang | ... | Teng-Yu Chen
Mathematical Problems in Engineering
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