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Project Management & Systems Engineering Lab (PML)
POSTECH PML is a laboratory for reinforcing core management capabilities for the entire project cycle and developing optimal PM technology for successful project management of plant engineering projects such as capital projects in the energy sector. For successful business management of mega-projects including overseas plants, core management capabilities for the entire business cycle, including business feasibility analysis, proposal writing, contract and negotiation, risk management, process management, project cost management, and quality management, and global standard application and optimization We are conducting research to develop PM specialized technology.
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Contact Us
- Room 463, GIFT, POSTECH
- Tel : 054-279-0136 (Office)
- dreblee@postech.ac.kr
Publications
- 2025 ADS-LI: A Drone Image-based Segmentation Model for Sustainable Maintenance of Lightning Rods and Insulators in Steel Plant Power Infrastructure
- 2025 Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders
- 2025 Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
- 2024 Hazard Identification and Risk Assessment During Simultaneous Operations in Industrial Plant Maintenance Based on Job Safety Analysis
- 2024 Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications
- 2024 Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants
- 2023 Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)
- 2023 A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance
- 2023 A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices
- 2023 Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data


