Suprakash Mondal

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About

Suprakash Mondal is a researcher whose work sits at the intersection of operations research, manufacturing engineering, and multi-criteria decision-making. His scholarship has focused primarily on the intelligent selection of industrial robots and automation systems — a challenge of growing importance as modern manufacturing environments become increasingly complex and competitive. In his highly cited 2013 paper, "A Solution to Robot Selection Problems Using Data Envelopment Analysis," Mondal pioneered the application of DEA — a powerful mathematical technique — to streamline the difficult task of choosing among a wide range of robotic alternatives, earning 30 citations and establishing him as a credible voice in the field. Building on this foundation, his 2014 comparative study examined preference dominance-based approaches for industrial robot selection, accumulating 19 citations and demonstrating his commitment to rigorously evaluating and contrasting methodological frameworks. Collectively, his research addresses a genuine practical need: helping manufacturing organizations make smarter, data-driven decisions about robotic technology adoption. For students and researchers working in decision support systems, industrial automation, or operational efficiency, Mondal's body of work offers both methodological insight and real-world applicability.