Anoop Kumar Sahu
Papers
3
Total Citations
36
H-Index
3
About
Anoop Kumar Sahu is a prominent researcher in advanced manufacturing and industrial engineering, specializing in multi-criteria decision-making (MCDM) and grey systems theory. His work focuses on developing evaluation models for critical manufacturing assets, including advanced machine tools, industrial robots, and logistic handling systems. Sahu’s key contributions lie in integrating knowledge-based clusters with grey relational analysis and weighted geometric aggregation operators to optimize equipment selection under objective-grey information. His most cited paper, "Exploitation of the advanced manufacturing machine tool evaluation model under objective-grey information" (2020), has garnered 21 citations, demonstrating its impact on guiding cost-effective, high-quality production decisions. Another influential work, "Cluster approach integrating weighted geometric aggregation operator to appraise industrial robot" (2018, 11 citations), addresses the crucial challenge of robot appraisement in real-time manufacturing. Sahu’s research consistently emphasizes the economic valuation of logistic systems, as seen in his 2017 study on logistic handling systems under mixed information. His work is notable for bridging theoretical MCDM frameworks with practical industrial applications, aiding managers in selecting optimal machinery to enhance productivity and reduce costs. Sahu’s contributions are invaluable for students and researchers exploring decision-support tools in manufacturing and logistics.
Research Focus
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Top Papers
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