Saurav Datta
Papers
9
Total Citations
228
H-Index
8
About
Saurav Datta is a researcher whose work sits at the intersection of multi-criteria decision making (MCDM) and industrial engineering, with a particular focus on intelligent robot selection frameworks. Over more than a decade, he has made sustained contributions to developing and extending advanced decision-support methodologies — including MULTIMOORA, PROMETHEE, TODIM, and VIKOR — to help industries systematically evaluate and select the most appropriate robotic systems from an increasingly complex marketplace. His research is distinguished by its creative integration of uncertainty-handling tools, such as grey set theory, fuzzy numbers, and interval-valued trapezoidal representations, enabling more realistic modeling of subjective and conflicting evaluation criteria. His most influential works, particularly "Multi-criteria decision making towards selection of industrial robot" (2015, 71 citations) and "Robot selection based on grey-MULTIMOORA approach" (2013, 65 citations), have become key references in the MCDM community, demonstrating both methodological rigor and practical applicability. More recently, Datta has expanded his research horizon into advanced manufacturing, contributing to the characterization of wire arc additive manufacturing processes. With a body of work spanning computational decision theory, fuzzy logic, and materials engineering, his research offers students and practitioners powerful tools for tackling real-world industrial decision problems.
Research Focus
Key Achievements
Top Papers
- 1Multi-criteria decision making towards selection of industrial robot71 citations · 2015
- 2Robot selection based on grey‐MULTIMOORA approach65 citations · 2013
- 3Extension of PROMETHEE for robot selection decision making25 citations · 2016
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