Raj Kumar

Papua New Guinea University of Technology

Papers

Total Citations

H-Index

About

Raj Kumar is a researcher focused on decision-making methodologies in industrial automation, with a particular emphasis on multi-criteria selection problems. His most cited work, "A Grey Relation Approach for Selection of Industrial Robot" (2018, 5 citations), addresses a critical challenge in modern manufacturing: choosing the optimal robot for specific industrial tasks. By applying grey relational analysis, Kumar provides a systematic framework for evaluating and ranking robot alternatives based on multiple performance criteria—a contribution that supports efficiency in logistics, production, and automation. Though his citation count is modest, his work is notable for tackling a practical, high-stakes problem in Industry 4.0, where the right robot selection can significantly impact productivity and cost. Kumar’s research bridges theoretical decision science with real-world engineering needs, making his insights valuable for students and practitioners navigating the complexities of automated systems. His approach offers a replicable model for similar selection challenges, underscoring his role in advancing applied operational research within industrial contexts.