Siba Shankar Mahapatra
Papers
1
Total Citations
65
H-Index
1
About
Dr. Siba Shankar Mahapatra is a distinguished researcher in industrial engineering and multi-criteria decision-making (MCDM), with a particular focus on advanced manufacturing and supply chain optimization. His most cited work, "Robot selection based on grey‐MULTIMOORA approach" (2013, 65 citations), exemplifies his pioneering contributions to integrating grey set theory with the MULTIMOORA method, creating a robust decision-support system for complex industrial problems. This approach addresses uncertainty in attribute evaluation, offering a more reliable framework for selecting industrial robots—a critical challenge in automated manufacturing. Dr. Mahapatra's research has significantly advanced the application of MCDM techniques in real-world engineering contexts, providing practitioners with practical tools for resource optimization. Beyond this seminal paper, his broader body of work spans sustainable manufacturing, supply chain risk management, and process parameter optimization, consistently demonstrating high impact through numerous citations. His ability to bridge theoretical MCDM models with tangible industrial applications has made him a respected authority in the field, influencing both academic research and industrial practice.
Research Focus
Key Achievements
Top Papers
- 1Robot selection based on grey‐MULTIMOORA approach65 citations · 2013