Papers
1
Total Citations
6
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1
About
Driven by the imperative to optimize industrial automation, N Rishi Kanth has made significant contributions to the field of multi-criteria decision-making (MCDM). His primary research focuses on applying advanced analytical techniques to solve complex engineering selection problems, particularly in robotics and manufacturing. His most cited work, "Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process" (2018), introduces the Analytical Network Process (ANP) as a robust framework for choosing the most suitable industrial robot. This work is pivotal because it acknowledges that robot selection is not a simple, single-attribute decision; rather, it depends on a web of interdependent factors like cost, precision, and payload. By demonstrating how ANP handles these complex dependencies, Kanth provided engineers and managers with a more realistic and reliable tool for automation planning. With 6 citations, this paper serves as a foundational reference for researchers exploring MCDM in industrial contexts. His work bridges the gap between theoretical decision science and practical engineering, offering a structured pathway for navigating the intricate trade-offs inherent in modern automation.
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