Debjit Roy
Papers
16
Total Citations
1,253
H-Index
9
About
Debjit Roy is a prominent operations research scholar whose work sits at the intersection of warehouse automation, robotics, and logistics optimization. His research has fundamentally advanced our understanding of how automated and robotic systems can transform modern fulfillment and distribution operations, with a particular focus on Robotic Mobile Fulfillment Systems (RMFS), autonomous guided vehicles, and human-robot collaboration in warehouse environments. Roy's most influential contribution, a comprehensive review of robotized and automated warehouse systems (2019, 541 citations), has become an essential reference for researchers and practitioners navigating the rapidly evolving landscape of e-commerce logistics. His subsequent work on performance estimation, storage zone assignment, and inventory allocation in RMFS environments has provided the analytical foundations that warehousing engineers now rely upon when designing scalable, flexible fulfillment systems. More recently, Roy has extended his scholarship into the human dimension of warehouse automation, examining dynamic collaborative picking strategies, worker fatigue, and zoning approaches that optimize joint human-robot performance. His investigation of container terminal robotics further demonstrates the breadth of his expertise. With over 1,200 cumulative citations, Roy has established himself as a leading voice shaping how both academia and industry approach the future of intelligent, automated supply chains.
Research Focus
Key Achievements
Top Papers
- 1Robotized and Automated Warehouse Systems: Review and Recent Developments541 citations · 2019
- 2Estimating performance in a Robotic Mobile Fulfillment System247 citations · 2016
- 3Robot-storage zone assignment strategies in mobile fulfillment systems146 citations · 2018
- 4Inventory allocation in robotic mobile fulfillment systems111 citations · 2019
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- 7Dynamic Human-Robot Collaborative Picking Strategies30 citations · 2020
- 8Zoning strategies for human–robot collaborative picking29 citations · 2023
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