Noura Almansoori
Papers
1
Total Citations
13
H-Index
1
About
Noura Almansoori is a researcher dedicated to advancing manufacturing quality through process optimization, with a particular focus on manual spray painting—a domain often overshadowed by costly automation. Her most-cited work, "Manual spray painting process optimization using Taguchi robust design" (2020, 13 citations), addresses a critical industrial challenge: enhancing the quality and consistency of manual painting while keeping processes economically viable. By applying Taguchi robust design, Almansoori systematically identifies key parameters that mitigate human variability—such as mental and physical fatigue—demonstrating that structured optimization can significantly improve surface finish without expensive robotic systems. This contribution bridges the gap between cost-sensitive manufacturing and quality assurance, offering practical solutions for small-to-medium enterprises. Her research underscores a pragmatic approach to industrial engineering, proving that even labor-intensive processes can achieve high precision through rigorous statistical methods. Almansoori’s work is particularly valuable for students and practitioners seeking to balance efficiency, cost, and quality in real-world production environments, marking her as a thoughtful innovator in manufacturing optimization.
Research Focus
Key Achievements
Top Papers
- 1Manual spray painting process optimization using Taguchi robust design13 citations · 2020