Arpan Halder
Papers
1
Total Citations
7
H-Index
1
About
Arpan Halder’s research lies at the intersection of industrial robotics, manufacturing optimization, and digital modeling, with a focus on enhancing production efficiency through intelligent layout design. His most cited work, “Layout optimization of a robotic cell for foundry application by CAD based point cloud modeling – a case study” (2017), introduces a novel three-step methodology that leverages CAD-based point cloud modeling to solve the critical problem of robotic cell layout planning. By demonstrating how optimal spatial arrangement directly reduces manufacturing time and cost, Halder provides a practical, data-driven framework applicable to real-world foundry environments. This contribution has garnered 7 citations, reflecting its relevance to both academic researchers and industry practitioners seeking to automate and refine production workflows. Halder’s work bridges the gap between theoretical optimization and applied engineering, offering a replicable approach that can be adapted across various manufacturing sectors. His research underscores the importance of integrating digital tools with physical processes, making him a valuable voice in the ongoing evolution of smart manufacturing and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1