Surinder Kumar

Papers

Total Citations

H-Index

About

Dr. Surinder Kumar’s research focuses on the intersection of advanced manufacturing systems, multi-criteria decision-making, and robotics. His major contributions lie in developing and applying hybrid analytical models to optimize the selection of automated material handling equipment, particularly mobile robots, within flexible manufacturing systems (FMS). His most cited work, "A Multi Attribute Selection of Mobile Robot using AHP/M-GRA Technique" (2019), has garnered 6 citations, demonstrating its relevance in helping manufacturing managers navigate volatile market conditions by integrating the Analytic Hierarchy Process (AHP) with Modified Grey Relational Analysis (M-GRA). This framework provides a robust, systematic approach for evaluating competing attributes such as cost, flexibility, and performance. Dr. Kumar’s work is notable for bridging theoretical decision science with practical industrial challenges, offering actionable tools for enhancing operational efficiency. His research continues to influence scholars and practitioners in production engineering and supply chain management, making him a valuable voice in the ongoing digital transformation of manufacturing.