Ramesh Kumar Garg

Deenbandhu Chhotu Ram University of Science and Technology, Amity University

Papers

Total Citations

112

H-Index

About

Ramesh Kumar Garg is a researcher whose work sits at the intersection of industrial automation, decision-making methodologies, and multi-criteria evaluation systems. His scholarship has focused primarily on the development and application of systematic frameworks for the selection and ranking of industrial robots — a critical challenge in modern manufacturing and automation environments where choosing the wrong robotic system can have significant operational and financial consequences. Garg's most influential contribution, "Optimal selection of robots by using distance based approach method" (2010), has garnered over 100 citations, establishing him as a recognized voice in robot selection methodology. This work introduced structured, quantitative approaches to what had traditionally been subjective decision-making processes. Building on this foundation, his 2021 paper introduced the Fuzzy Modified Distance Based Approach (FMDBA), a novel hybrid methodology that had not previously appeared in the open literature for robot selection purposes. By incorporating fuzzy logic into the evaluation framework, Garg addressed the inherent uncertainty and imprecision in assigning priority weights to selection criteria — making industrial robot selection more rigorous and reliable. His research serves as a valuable resource for engineers, operations managers, and researchers seeking evidence-based tools for navigating complex automation procurement decisions.