Shobhit Nigam

Papers

Total Citations

146

H-Index

About

Shobhit Nigam is a leading researcher in the optimization of automated warehousing and logistics systems, with a particular focus on mobile fulfillment systems (MFS) and robotic material handling. His most cited work, "Robot-storage zone assignment strategies in mobile fulfillment systems" (2018, 146 citations), provides foundational insights into how robots can be efficiently assigned to storage zones to minimize travel time and maximize throughput in e-commerce fulfillment centers. Nigam’s research bridges operations research, robotics, and industrial engineering, offering practical strategies that reduce operational costs and improve scalability for modern warehouses. His contributions are widely recognized for their direct impact on the design of autonomous mobile robot (AMR) systems used by major logistics firms. Beyond this seminal paper, Nigam has explored topics such as dynamic task allocation and inventory management in automated environments, cementing his reputation as a key thinker in the intersection of robotics and supply chain optimization. His work is essential reading for students and practitioners seeking to understand the algorithmic foundations of next-generation warehousing.