Pramot Srinoi
Papers
3
Total Citations
7
H-Index
2
About
Pramot Srinoi is a researcher specializing in industrial automation, robotics simulation, and manufacturing process optimization. His work focuses on modeling and improving production systems through digital factory concepts and simulation tools. Srinoi’s major contributions include developing automated loading and unloading systems for aluminum bowl embossing operations, enhancing aerosol can packaging and palletizing cells, and creating simulation models to improve painting robot efficiency. His research demonstrates practical applications of robot simulation for reducing manual labor and increasing productivity in real-world manufacturing scenarios. While his citation counts are modest—with his most cited paper, "Modeling, analysis and effective improvement of aluminum bowl embossing process through robot simulation tools" (2019), receiving 3 citations—his work addresses critical challenges in industrial automation. Srinoi also incorporates engineering economic analysis for project selection, bridging technical optimization with financial decision-making. His studies provide valuable insights for students and researchers interested in applying simulation and robotics to improve manufacturing efficiency, particularly in small-to-medium scale production environments.
Research Focus
Key Achievements
Top Papers
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