Call for Papers
ICIEA-EU 2027 will provide a premier
interdisciplinary platform for researchers, practitioners and educators to
present and discuss the most recent innovations, trends, and concerns as well as
practical challenges encountered and solutions adopted in the fields of
Industrial Engineering and its applications.
Relevant topics include, but are not limited to:
Special Session I: Machine Learning and Industrial Engineering with Applications
Special Session II: Recent Advances in Multi-robot Systems: Modeling, Optimization and Applications
Advanced Manufacturing Technology and Application
Advanced Design and Manufacturing Methods
Lean and Agile Manufacturing
3D Printing and Additive Manufacturing Processes
Machining, Forging, and Forming Technologies
Manufacturing Process Optimization
Smart Production Systems
Reliability, Maintenance, and Prognostics
Artificial Intelligence for Manufacturing
Machine Learning in Production Systems
Digital Twin for Manufacturing Systems
Human-Machine Collaboration in Production
Cyber-Physical Production Systems
Manufacturing Systems and Automation
Industry 4.0 and Industrial IoT
Production Planning, Scheduling, and Control
Workflow Technologies and Process Optimization
Virtual Engineering and Simulation
Hybrid Products and Multidisciplinary Product Development
Industrial Robotics and Autonomous Systems
Sensors, Monitoring, and Inference for Manufacturing
Automation, Discrete Event Systems, and MES Integration
Automation and Discrete Event Systems
AI-Driven Production Systems
Digital Twin Applications for Real-Time Monitoring and Optimization
Smart Factory Implementation and Case Studies
Artificial Intelligence and Digital Technologies in Manufacturing
Artificial Intelligence in Production Optimization
Predictive Maintenance using AI and IoT
Machine Learning for Process Control
Computer Vision and Robotics in Manufacturing
Digital Twin Modeling and Simulation
Edge Computing and Smart Manufacturing Analytics
AI-Assisted Quality Control and Inspection
Knowledge-Based Production Systems
Data-Driven Decision Making for Industrial Applications
Industrial Information, Analytics, and Digital Transformation
Big Data Analytics and Decision Support in Manufacturing
Industrial Internet of Things (IIoT) Applications
Blockchain and Secure Supply Chain Management
Engineering Economy, Cost Analysis, and Project Management
Data Science for Industrial Processes
Operations Research and Optimization Models
Smart Logistics and Intelligent Production Networks
Simulation, Digital Twins, and Virtual Factories
Human-Computer Interaction in Industry
Sustainable Industrial Production and Innovation
Sustainable Industrial Engineering and Lean Production
Green Manufacturing and Energy-Efficient Systems
Industrial Waste Management, Recycling, and Circular Economy
Occupational Health, Safety, and Sustainability
Product Lifecycle Management and Sustainable Design
Energy-Saving Technologies and New Energy Vehicles
Industrial Equipment Innovation and Upgrading
Industrial Layout Optimization and Ergonomics
·Smart Materials and Eco-Friendly Processes
Industrial Logistics, Warehousing, and Material Handling
Industrial Logistics Systems Design and Optimization
Smart Warehousing, Intralogistics, and Distribution Systems
Material Handling Systems and Automated Storage/Retrieval Systems
Flexible Automation for Logistics, Warehousing, and Material Flow
Human-Robot Collaboration in Warehousing and Material Handling
Collaborative Robots, Mobile Robots, and Autonomous Guided/Autonomous Mobile Vehicles
AI-Driven Warehouse Management, Order Picking, and Routing Optimization
Digital Twins and Simulation for Logistics and Material Handling Systems
Ergonomics, Safety, and Human Factors in Logistics Operations
Sustainable and Resilient Logistics Networks and Supply Chains
Data Analytics, IoT, and Real-Time Decision Support for Industrial Logistics