Prof. Suthep Butdee
Agentic AI (AAI) defines as the system that as autonomously based on goals, real-time data and feedback loops. It works on self-control, self- configuration, and self-optimization in production cell, process, and system as well as prediction forecasting things will be occurred incident in the near future. Decision making real-time can make highly benefit to managerial management with adaptation for changing and learning from experiences and huge cases of successful for future usages and failures for elimination with prevention. Basic knowledge concerns with pattern recognition for cause and effect identification in complex manufacturing system, whereas the AAI could perform deep-drive innovative procedure and analysis, process capability and optimization together with failure prediction. AAI in production engineering (AAIPE) operates beyond the LLM processing language and documentation combined with geometric modeling and image processing in deep learning process for defect analysis involving with shop floor operation. Industrial production investment impacts highly on the countries’ economic including Thailand located in South-East Asia. There are 47 industrial estates in 15 major provinces. This study proposes on the areas of Eastern Seaboard or (Eastern Economic Corridor) which is invested 200,000 million baht (5,312 million EUR). In major center of industries are new vehicle, smart electronics, logistics and aviation, petrochemical, and robotics. The survey will show the recent AAIPE tools used both from global and localization. The conclusion will represent the trend and effective AAIPE in the future uses in such industrialization and areas.
Assoc. Prof. Dr. Suthep Butdee received PhD. in Manufacturing Engineering at Queensland University of Technology in Brisbane, Australia in 1998. His experiences focuses on the domains of production Engineering and Robotic Engineering for 35 years both academic and industrialization. He did Ph.D thesis on the AI Expert system for machined parts combined the rule-based and case-based reasoning. His previous works were collaborative with several oversea Universities for research and postgraduate fellowship with France, Japan, Germany, Australia, India, and so on. He had experiences in high position in managerial Academic University such as Vice president for research and development for 4 years, Director of Franco-Thai Institute for Automation for 10 years, University council member including vice chair for 20 years, Chairperson for a University academic council for 20 years. He taught undergraduate and postgraduate with principle supervisors in Production and Robotic Engineering around 50 projects. He had received grant for both National and International levels in academic research and industrial consultant for 15 years. He established and founded the key University research center named Integrated Manufacturing System (IMS) center to transfer knowledge and academic to more than 500 SMEs industries in Thailand under the major project named “Manufacturing Development to Improve Competitiveness Program (MDICP)” authorized by Ministry of Industry which was linked by five major organizations to strengthen various industrial sectors including productivity improvement, ISO standardization, Technology roadmaping and transferring, Financial and Accounting management, and Marketing management. He was the key person who took part of the project manager of the MDICP for 20 years. He published papers in the Scopus indexed 65 papers as well as few book chapters. He has a board member of GCMM congress established 35 years. He established the Asian Journal of production and Manufacturing Engineering which is recently ASEP journal. He has joined as the editorial members for Springer books in Mechanical Engineering, Production engineering, Mechatronic Engineering. He was few times invited for keynote speaker in Engineering, Manufacturing and Management international conferences. He has contributed as the well-known international Journal.