Special Issue(24-03): Intelligent Systems for Smart Automation and Self-Optimization of Industry 4.0
Posted on 2024-07-13
SI: Intelligent Systems for Smart Automation and Self-Optimization of Industry 4.0
Today Industry 4.0 is expected to increase productivity, customisation, automation, flexibility and quality of products. We will witness more computerised and digital tools using intelligent systems widely used to achieve the intended results. Primarily, intelligent system tools are used in decision-making processes in a complex work environment. Intelligent tools and software’s are applied in different domains of almost every sector of Industry 4.0. The wide use of intelligent systems is due to the wide availability of technologies like AI, IoT, and cloud computing. In the manufacturing industries, intelligent systems are applied in intelligent manufacturing, which involves producing goods using smart sensors, intelligent devices and advanced decision-making models. These devices process the data with analytical tools and optimise production and transaction. One of the advantages of intelligent systems is the integration of human-machine interaction with which various levels of operating an industry can be combined. The real-time data collection feature of intelligent systems enables data collection and transfer between tools, industrial workers and materials. They also permit the flow of information regarding the production, transport of products and transaction details to ensure visibility and traceability.
Intelligent systems also play a role in enterprise-resource planning systems. Other applications of intelligent systems are automation in production, industrial connectivity, adaptive manufacturing systems and wireless communication. In service-oriented industries, intelligent systems are used in chatbots, cyber security and interconnected devices. Cyber-physical systems developed with intelligent algorithms operate to integrate machines, electronics, software and other devices, thus enabling machine-to-machine interaction quickly. The continuous assistance given to the machines through artificial and intelligent control systems reduces potential risks to people and property in the industries. Many countries worldwide have already adopted intelligent systems for smart designing, smart monitoring and smart production of goods in the industry 4.0 transitions. As these systems use data for intelligent decision-making, the possibility for errors is significantly minimised. More attention to industry 4.0 increases the opportunity for intelligent systems for manufacturing and supply chain management and other managerial tasks in the industrial sector. Collaboration of new and advanced technologies is transforming traditional industrial practices.
LIST OF TOPICS AREAS INCLUDE, BUT ARE NOT LIMITED TO:
- Implications of Cyber-physical system and architecture on Intelligence in Industry 4.0
- Role of intelligent technologies for enhancement of Industry 4.0
- Intelligent manufacturing techniques with cloud computing technology for industry 4.0
- Role of Artificial intelligence in transforming traditional industrial processes
- Intelligent systems for supply chain management for industries
- Value creation and designing for industries using technologies
- Intelligent systems for enterprise management and manufacturing
- Wireless connectivity and its contribution to industrial transitions
- AI-based semantic web-based frameworks for service industries
- Future of applications using intelligent agents in agro-industries
GUEST EDITOR INFORMATION:
Name: Dr. Faheem Khan
Affiliation: Assistant Professor,
Department of Computer Engineering,
Gachon University,
Seongnam, South Korea
Email: [email protected], [email protected]
G Scholar: https://scholar.google.com.pk/citations?user=eIC_cSYAAAAJ&hl=en
Short Bio: Faheem Khan received the Ph.D. degree in computer science from the University of Malakand, KPK, Pakistan. He served four years in Pakistan as an Assistant Professor and supervised many papers and students. Since April 2021, he has been an Assistant Professor with the Department of Computer Engineering, Gachon University, South Korea. His field of interest is Computer Networking, Wireless Networking, MANET, IoT, AI, Machine Learning, etc.,
Name: Dr. Umme Laila
Affiliation: Assistant Professor,
Computer Engineering Department,
Sir Syed University of Engineering & Technology,
Karachi, Pakistan.
Email: [email protected]
G Scholar: https://scholar.google.com.pk/citations?user=wib1gQkAAAAJ&hl=en
Short Bio: Dr. Umme Laila received her Ph.D. in Computer Science and Information Technology, NED University of Engineering and Technology, Karachi, Pakistan (2016~2021). Since May 2008, she has been an Assistant Professor with the Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan. Her area of interest includes Open-source software, Object oriented programming, Human Computer Interaction and Android.
Name: Dr. Muhammad Adnan Khan
Affiliation: Associate Professor,
Riphah International University, Pakistan.
Email: [email protected]
G Scholar: https://scholar.google.com/citations?user=0v2xyVUAAAAJ&hl=en&oi=ao
Short Bio: Dr. Muhammad Adnan Khan received the B.S. and M.S. degrees from the International Islamic University, Islamabad, Pakistan, by obtaining the Scholarship Award from the Punjab Information and Technology Board, Government of Punjab, Pakistan, and the Ph.D. degree from ISRA University, Islamabad, by obtaining the Scholarship Award from the Higher Education Commission, Islamabad, in 2016. He is currently working as an Associate Professor in Riphah International University, Pakistan. He has been teaching graduate and undergraduate students in computer science and engineering for the past 12 years. He is guiding five Ph.D. scholars and six M.Phil. scholars. He has published more than 200 research articles with a Cumulative JCR-IF and more than 450 in reputed international journals as well as international conferences. His research interests primarily include machine learning, MUD, image processing and medical diagnosis, and channel estimation in multi-carrier communication systems using soft computing.
MANUSCRIPT SUBMISSION – KEY DATES:
- Submission Deadline: April 05, 2025
- Author Notification: June 20, 2025
- Revision and Resubmission Deadline: July 25, 2025
- Paper Acceptance: Sept 28, 2025