2023 the 7th International Conference on Intelligent Manufacturing and Automation Engineering (ICIMA 2023) will be held in Changsha, China during December 22-24, 2023, as the workshop of
CRC 2023. It's sponsored by Changsha University of Science & Technology, China. ICIMA 2023 will provide this international forum for experts in academia, industry, and government to discuss their new ideas, research results, applications and experience on all aspects of Intelligent Manufacturing and Automation Engineering.
Papers describing original work are invited in any of the areas listed below. Acceptance will be based on
relevance,
contribution and
originality. There will be both oral and poster sessions. Each of these topic areas is expanded below but the sub-topics list is not exclusive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them.
Manufacturing and Service Systems
Flexible Automation and Intelligent Manufacturing
Industrial Engineering and Operations Management
Business Strategies and Intelligence in Manufacturing and Services
Knowledge, Change, and Risk Management
Value Creation by Sustainable Manufacturing
Green and Lean Supply Chains, Logistics, and Procurement
End-of-Life Management and Reverse Logistics
Manufacturing Paradigms (FMS/RMS, Lean, Agile, etc.)
Manufacturing Education and Training
Modelling and Simulation
Production Planning and Scheduling
Social Media in Manufacturing
The Internet-of-Things in Manufacturing
Multi-Level Measurement and Metrics
Social Aspects, Health, and Safety in Manufacturing
Services Science, Management, and Engineering
Integrated Product and Production Development
Product Design/Design for Manufacture/Assembly
Design for X
Modular and Configurable Structures and Development Processes
Product Development, Rapid Prototyping, Concurrent Engineering
Value Creation for Customers and Stakeholders
Total Quality Management
Product and Production System Life Cycle Assessment and Interaction
Manufacturing Technology and Processes
Cognitive and Artificial Intelligence in Manufacturing
Biological Engineering, Medical Equipment and Healthcare Systems
Industrial Robotics, Automation, and Process Control
Micro, Nano and Desktop Manufacturing
Digital Manufacturing (CAx, CAPP, MES, DES, etc.)
Sensor-Based Process Monitoring and Control
