Ram Subbiah
Papers
1
Total Citations
122
H-Index
1
About
Dr. Ram Subbiah is a leading figure in the field of Multi-Criteria Decision Making (MCDM), where his work focuses on developing advanced hybrid models to solve complex industrial selection problems. His major contribution lies in the creation of novel hybrid frameworks that combine traditional MCDM techniques, such as TOPSIS, ARAS, and COPRAS, to overcome the limitations of outdated single-method approaches. His most-cited paper, “Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS” (2021), has garnered 122 citations, reflecting its significant impact on the field. This work demonstrates how integrating multiple decision-making tools can yield more robust and accurate results in real-world applications like robot selection. Dr. Subbiah’s research is highly influential among students and practitioners seeking to apply cutting-edge MCDM methodologies to engineering and management challenges. His innovative hybrid models continue to shape the evolution of decision science, offering practical solutions for complex, multi-attribute problems.
Research Focus
Key Achievements
Top Papers
- 1