Conference Description:

Topics of Interest for Submission include, but are Not Limited to:

1. Advanced Manufacturing Technologies
This area focuses on the cutting-edge processes and hardware that enable complex and highly precise production.

Additive Manufacturing (3D Printing):

Metal AM and the development of new alloys (e.g., aerospace and biomedical applications).

Multi-Material and Hybrid AM (combining additive with subtractive processes).

Process control and quality assurance in layer-by-layer fabrication.

Smart Automation and Robotics:

Collaborative Robots (Cobots) and human-robot interaction in assembly.

Autonomous Mobile Robots (AMRs) for intralogistics and material handling.

Precision motion control and optimal trajectory generation for multi-axis machine tools.

Advanced Materials Processing:

Micro-/Nano-Precision Fabrication and ultra-precision machining.

Laser-based processes (machining, welding) and energy beam processing.

Design and manufacturing of advanced composites and smart/active materials.



2. System Optimization and Data Science
This theme addresses the modeling, analytical tools, and computational methods used to improve manufacturing performance.

Industry 4.0 and Digital Transformation:

Development and application of Digital Twins for real-time simulation and testing of production systems.

Industrial Internet of Things (IIoT), sensor networks, and data integration.

Cyber-Physical Systems (CPS) and IT/OT (Information Technology/Operational Technology) network convergence.

Artificial Intelligence (AI) and Machine Learning (ML):

Predictive Maintenance (PdM): Using ML algorithms to forecast equipment failures and minimize unplanned downtime.

Process Modeling and Control: ML-based process optimization for autonomous control and anomaly detection.

Zero-Defect Manufacturing (ZDM): Using AI for real-time quality inspection and control.

Optimization Methodologies:

Application of Statistical Process Control (SPC) and Design of Experiments (DOE).

Algorithms like Genetic Algorithms (GA), MOORA, and TOPSIS for single- and multi-objective optimization (e.g., maximizing efficiency while minimizing cost).

Implementing Lean Manufacturing and Six Sigma methodologies (e.g., DMAIC, Value Stream Mapping) with digital tools.



3. System-Level Applications and Sustainability
These topics look at the broader impact and management of optimized manufacturing systems across the supply chain.

Supply Chain Optimization and Resilience:

AI-driven demand forecasting and inventory management.

Creating resilient supply chains that can adapt to global disruptions.

Logistics and transport optimization using real-time data.

Sustainable and Green Manufacturing:

Carbon Neutral Manufacturing: Strategies for reducing energy consumption and greenhouse gas emissions.

Life Cycle Assessment (LCA) and end-of-use recovery for products.

Remanufacturing and closed-loop recycling systems.

Design and Manufacturing Integration:

Design for Manufacturing (DFM) and Design for Assembly (DFA).

Bottom-up cost and material-energy flow analysis to evaluate competing manufacturing routes.

Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) integration for unified data flow.