Call for papers: Intelligent Manufacturing

 Many countries have developed their national manufacturing strategies in the past few years. Although these strategies are proposed and developed under different backgrounds, their common objective is to achieve intelligent manufacturing, which satisfies the demands of socialization, personalization, servitization, intelligence, and energy conservation. However, for intelligent manufacturing, realizing smart interconnection and interaction, data mining, ubiquitous computing, seamless cyber-physical fusion, etc., are always challenging. Fortunately, new enabling technologies for intelligent manufacturing have been developed recently, thus providing promising approaches to address these challenges. These new enabling technologies include Agents, Cloud Computing and Edge Computing, Internet of Things (IoT) or Industrial Internet, Big Data and Machine Learning, Cyber-Physical System (CPS) and Human-Cyber-Physical Systems, Digital Twins (DT) and Metaverse, and Industrial Foundation Models, which endow manufacturing processes with intelligence. For instance, IoT devices can communicate and interact with each other, thus enabling real-time monitoring and dynamic control. Big Data analytics, with AI and particularly machine learning, can help mine out potential rules, knowledge, and patterns to achieve smart prediction, evaluation, optimization, and decision-making. DT aims to construct interactive virtual mirrors for physical assets and fuse real and simulated data to provide more insights. These technologies can be combined to greatly promote manufacturing innovation in design, production, operation and maintenance, etc.

This special issue aims to present the latest advances and developments of new methods, techniques, systems, and tools dedicated to the application of enabling technologies for intelligent manufacturing.

Topics of Interest:

This special issue will publish original research papers, reviews, perspectives, views, and comments, including but not limited to the following topics:

- Agents in Intelligent Manufacturing

- Industrial Foundation Models / Artificial General Intelligence (AGI) or Generative AI (GenAI) Applications in Intelligent Manufacturing

- Industrial Internet / IoT in Intelligent Manufacturing

- Low Carbon Intelligent Manufacturing

- Edging Computing / Could-Edge Collaboration in Intelligent Manufacturing

- Digital Twins, Metaverse, CPS/HCPS in Intelligent Manufacturing

- Intelligent Manufacturing Services / Intelligent Product-Service Systems

- Smart Product Design for Supply Chains

- Equipment Health Monitoring, Predictive and Proactive Maintenance

- Vision-based online production quality monitoring in Intelligent Manufacturing

- Integration of physics-based and data-driven approaches for intelligent manufacturing

- Human-machine interaction for intelligent manufacturing

- Intelligent planning and scheduling in manufacturing

- Robotized intelligent manufacturing

Guest editors:

Peigen Li, Huazhong University of Science & Technology, China;

Andrew Kusiak, The University of Iowa, USA;

Liang Gao, Huazhong University of Science & Technology, China;

Weiming Shen, Huazhong University of Science & Technology, China

Manuscript submission information:

Only original manuscripts can be submitted, according to the “Guide for Authors” published on the Engineering website at https://www.journals.elsevier.com/engineering. 

The authors are invited to follow the link “Submit your Paper”, located in the main page of the Journal website, and submit manuscript to Article Type “SI: Intelligent Manufacturing” in Engineering.

Deadline for manuscript submission

September 30, 2024

Paper Length Limitations

- Research Article: ~6,000 words;

- Review: ~10,000 words;

- Views & Comments: 1,000–2,000 words.

Why publish in this Special Issue?

• Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
• Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
• Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
• All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.