Nitish Singh

Papers

Total Citations

227

H-Index

About

Nitish Singh is a prominent researcher specializing in autonomous systems optimization, with a particular focus on automated guided vehicle (AGV) scheduling and fleet management in industrial settings. His work addresses some of the most pressing challenges in modern manufacturing logistics, particularly the complex interplay between vehicle heterogeneity, battery constraints, and operational efficiency. Singh's most influential contributions center on developing sophisticated scheduling frameworks for AGV fleets operating under real-world constraints. His 2021 paper introducing a matheuristic approach to AGV scheduling with battery constraints garnered 131 citations, demonstrating the field's appetite for practical, scalable solutions to this challenging combinatorial problem. Complementing this, his work on scheduling heterogeneous multi-load AGVs with battery constraints, accumulating 96 citations in the same year, further established his expertise in managing diverse fleets with varying capabilities and travel costs. What distinguishes Singh's research is his commitment to bridging theoretical optimization with practical industrial application. By incorporating soft time windows, heterogeneous vehicle capabilities, and energy limitations simultaneously, his models reflect the genuine complexity faced by modern factory operators. With over 225 combined citations across just two papers, Singh has rapidly emerged as a significant voice in intelligent transportation systems and smart manufacturing optimization.