Rupesh Bade Shrestha

Papers

Total Citations

H-Index

About

Rupesh Bade Shrestha is a researcher at the forefront of industrial automation and smart manufacturing, with a primary focus on optimizing material handling and logistics in assembly plants. His most-cited work, "Planning a Material Replenishment Through Autonomous Mobile Robot in an Assembly Plant Using a Hybrid Simulation Approach" (2024), introduces a novel hybrid simulation framework to determine optimal strategies for deploying autonomous mobile robots (AMRs) in existing material replenishment systems. By analyzing critical parameters such as the number of containers or payloads a robot should carry, Shrestha provides actionable insights for improving efficiency, reducing downtime, and minimizing operational costs in real-world manufacturing environments. Though early in its citation trajectory, this work has already garnered attention for its practical relevance to Industry 4.0, bridging the gap between simulation and implementation. Shrestha’s contributions are particularly valuable for engineers and researchers seeking to integrate autonomous robotics into legacy systems without disrupting production. His research underscores a commitment to data-driven decision-making and sustainable automation, positioning him as an emerging voice in the evolution of smart factories and lean manufacturing practices.