Papers

8

Total Citations

337

H-Index

5

About

Prasenjit Chatterjee is a distinguished researcher specializing in multi-criteria decision-making (MCDM), industrial robotics selection, and advanced manufacturing systems. His work sits at the intersection of operations research and manufacturing engineering, developing rigorous frameworks to help organizations navigate complex selection problems in technology-intensive environments. Chatterjee's most celebrated contribution, "Selection of Industrial Robots Using Compromise Ranking and Outranking Methods" (2010), has garnered 181 citations, establishing him as a leading authority in applying MCDM methodologies to robot selection challenges. He has consistently expanded this research agenda, exploring compromise ranking methods, preference dominance-based approaches, and more recently, hybrid techniques such as the SWARA-CoCoSo framework for spray painting robot selection, which has accumulated 84 citations and addresses critical industrial automation needs in hazardous manufacturing environments. Beyond robotics, Chatterjee has applied decision-making tools to advanced manufacturing systems selection using methods such as ORESTE, while more recently contributing to emerging domains including Industry 4.0 and smart manufacturing with 3D printing technologies. His body of work demonstrates a sustained commitment to providing practitioners and researchers with practical, mathematically grounded tools for solving real-world manufacturing decision problems, making his research invaluable for students and engineers navigating modern industrial complexity.

Research Focus

Key Achievements

5
H-Index
8
Papers
337
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Selection of industrial robots using compromise ranking and outranking methods
181 citations · 2010
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Jadavpur University, Indian Institute of Engineering Science and Technology, Shibpur

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago