Anant V. Khandekar
Papers
1
Total Citations
20
H-Index
1
About
Anant V. Khandekar’s research advances the frontiers of industrial automation and decision-making under uncertainty. His work focuses on integrating axiomatic design principles with fuzzy logic to solve complex engineering selection problems, particularly in manufacturing contexts. His most-cited paper, “Selection of industrial robot using axiomatic design principles in fuzzy environment” (2015, 20 citations), provides a pioneering framework for choosing optimal robotic systems by balancing multiple, often conflicting, criteria like operational quality, safety, and productivity. This contribution is vital as manufacturers increasingly adopt diverse robots to enhance efficiency. Khandekar’s methodology helps practitioners navigate the ambiguity inherent in real-world industrial choices, offering a structured, mathematically rigorous approach that reduces risk and improves outcomes. His work stands out for bridging theoretical design axioms with practical fuzzy environments, making it highly relevant for both researchers and engineers. With growing citation impact, Khandekar is recognized for equipping the manufacturing sector with tools to make smarter, safer, and more productive automation decisions.
Research Focus
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Top Papers
- 1