17th BANGKOK International Conference on Advanced Manufacturing & System Optimization: BAMSO-26

Call for papers/Topics

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.