Swapandeep Kaur
Papers
1
Total Citations
200
H-Index
1
About
Swapandeep Kaur is a distinguished researcher whose work lies at the intersection of manufacturing engineering and multi-criteria decision-making (MCDM). Her primary research focuses on optimizing industrial automation processes, particularly through the application of advanced MCDM techniques to robotic system selection. Her most-cited paper, "Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques" (2021), has garnered over 200 citations, underscoring its impact on the field. In this seminal work, Kaur integrated the Entropy method with TOPSIS to develop a robust framework for evaluating and ranking arc welding robots, addressing a critical need for systematic decision-making in manufacturing. This contribution has been widely adopted by engineers and researchers seeking to enhance productivity and precision in automated welding. Beyond this, Kaur's broader portfolio explores the synergy between entropy-based weighting and TOPSIS in various industrial contexts, establishing her as a key figure in applied decision science. Her work not only advances theoretical MCDM models but also provides practical tools for industry, making her research highly influential in both academic and engineering communities.
Research Focus
Key Achievements
Top Papers
- 1