Papers
1
Total Citations
6
H-Index
1
About
Dr. J. M. Kumar is a distinguished researcher in industrial automation and multi-criteria decision-making (MCDM), with a focused expertise in applying advanced analytical techniques to solve complex engineering selection problems. His most cited work, "Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process" (2018, 6 citations), introduced the Analytical Network Process (ANP) as a robust framework for robot selection in manufacturing. This contribution is pivotal because it addresses the interdependent nature of attributes—such as cost, payload, and precision—that traditional methods often oversimplify. By demonstrating how ANP can systematically evaluate and prioritize automation equipment, Kumar’s research provides engineers with a more accurate, holistic decision-making tool, directly impacting productivity and cost-efficiency in smart factories. His work bridges the gap between theoretical MCDM models and practical industrial applications, offering a replicable methodology for selecting not only robots but also other automation technologies. Though his citation count is modest, the specificity and applicability of his research make it a valuable reference for students and practitioners seeking to implement rigorous, attribute-based selection processes in real-world automation projects.
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