Manbir Sodhi

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About

Manbir Sodhi’s research lies at the intersection of operations research, manufacturing systems, and automation, with a focus on optimizing production and logistics under real-world constraints. His most influential work, “The Traveling Salesman Problem with Job-times (TSPJ)” (2021), has garnered 28 citations and introduces a novel variant of the classic TSP that incorporates job processing times, offering new insights for scheduling and routing in manufacturing and service systems. Earlier, Sodhi made foundational contributions to flexible manufacturing with his 2003 paper on configuring flexible flowlines, which addresses the challenge of equipping machines—like CNCs and robots with multiple grippers—to handle diverse jobs efficiently. This work remains a key reference for designing adaptive production systems. His more recent research includes a 2023 paper on lab-scale smart factory implementation using ROS (Robot Operating System), reflecting a shift toward Industry 4.0 and cyber-physical systems. Sodhi also tackled robustness in high-stakes environments with his 2014 study on flowline design for automotive body shops, where he modeled the impact of robot failures on assembly line performance. With a career spanning theoretical optimization and practical automation, Sodhi’s work continues to influence both academic research and industrial practice.