Special Issue 14

Call for Papers

Special Issue of the International Journal of Engineering, Project, and Production Management (EPPM-Journal)
Title: Artificial Intelligence and Advanced Manufacturing
Lead Guest Editor: Prof. Jingsha He (jsh.bjut@gmail.com)

Aims and Scope

This special issue of the Journal of Engineering, Project, and Production Management (EPPM-Journal) explores the transformative convergence of artificial intelligence (AI) and advanced manufacturing technologies within the evolving landscape of modern industrial systems. As manufacturing sectors undergo profound digital and intelligent transitions—driven by the paradigms of Industry 4.0 and Industry 5.0—the integration of AI with production processes presents unprecedented opportunities to enhance operational efficiency, product quality, supply chain resilience, and sustainable development.

Despite rapid developments in machine learning, foundation models, robotics, and precision manufacturing, implementing AI within real-world industrial settings poses distinct scientific and operational challenges. These include processing heterogeneous industrial data, integrating multi-modal sensing hardware, maintaining model interpretability in safety-critical operations, and facilitating seamless human-AI collaboration. Furthermore, transitioning toward human-centric and sustainable manufacturing requires integrative frameworks that connect computational intelligence with engineering, project, and production management.

This special issue seeks to bridge the gap between computational sciences and engineering management by exploring how AI-driven innovations enhance decision-making, production planning, project management, and operational excellence across manufacturing value chains. We invite high-quality original research articles, rigorous case studies, methodological contributions, and critical reviews that demonstrate the synergy between artificial intelligence and advanced manufacturing.

Topics of Interest

We welcome contributions that address, but are not limited to, the following thematic areas:

1. AI Algorithms, Intelligent Perception, and Sensing Technologies

Machine learning, deep learning, and neural network architectures for industrial signal processing and anomaly detection
Generative AI, foundation models, and large language models (LLMs) applied to design automation, production planning, and industrial knowledge retrieval
Smart optical sensing, automated optical inspection (AOI), optoelectronic computing, and capacitive sensing systems for precision process monitoring
Digital twins, cyber-physical systems, and physics-informed AI models for real-time simulation, quality assurance, and adaptive process control
Multi-agent systems, swarm intelligence, and knowledge graphs for distributed resource allocation and complex system modeling

2. Advanced Manufacturing Systems, Processes, and Sustainable Production

AI-driven additive manufacturing (3D/4D printing), including in-situ defect detection, process optimization, and smart material synthesis
Laser smart manufacturing, optical micro-nano fabrication, ultra-precision processing equipment, and computer-aided design/manufacturing (CAD/CAM)
Sustainable manufacturing strategies, energy efficiency optimization, decarbonization pathways, and circular economy implementation aligned with SDGs
Advanced industrial robotics, autonomous execution systems, and human-robot collaborative workstations in manufacturing environments
Digital enterprise transformation, Internet-Plus manufacturing models, and smart optical component manufacturing systems

3. Data-Driven Decision-Making, Project Management, and Cross-Disciplinary Applications

Data-centric decision-making frameworks for engineering, project, and production management in volatile industrial contexts
Reinforcement learning and metaheuristic algorithms for supply chain resilience, logistics routing, and intelligent scheduling
Human-centric AI, workforce skill development, and change management frameworks for Industry 5.0 adoption
AI-powered risk assessment, safety monitoring, economic evaluation, and ecological footprint analysis in industrial operations
Cross-disciplinary applications of AI in transportation, energy, optics, bioengineering, etc..

Important Dates

Manuscript submission deadline: February 18, 2027
Notification of acceptance: April 30, 2027
Submission of final revised papers: May 31, 2027
Publication of the special issue: June 2027

Guest Editors

Dr. Jingsha He
Professor, Beijing University of Technology, China
Email: jsh.bjut@gmail.com

Contact Information

For inquiries regarding the special issue or manuscript submissions, please contact:
Prof. Jingsha He
Email: jsh.bjut@gmail.com