Call For Papers - The World's Largest Index/List of Call For Papers

The World's Largest Index of Call For Papers

17th BANGKOK International Conference on Advanced Manufacturing & System Optimization (BAMSO-26) scheduled on March 23-25, 2026 Bangkok (Thailand)

BAMSO-26

URL: https://eamae.erpub.org/conference/179
Event Date: 2026-03-23 ~ 2026-03-25
Submission Date: 2026-03-02
Organizer: EAMAE
Location: Bangkok, Thailand

Computing Systems Manufacturing & Machinery

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.

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