Mikhail Y. Kovalyov

Papers

Total Citations

115

H-Index

About

Mikhail Y. Kovalyov is a leading researcher in manufacturing systems and operations research, whose work has garnered over 115 citations. His primary research areas include workforce reconfiguration strategies, production planning, and automation in logistics. Kovalyov’s major contribution is his comprehensive state-of-the-art review on workforce reconfiguration strategies (2020, 110 citations), which systematically analyzes how flexible workforce planning enhances resilience and adaptability in manufacturing environments. This seminal work has become a foundational reference for scholars and practitioners seeking to optimize human resources amid dynamic production demands. More recently, Kovalyov has advanced the field of robotic mobile fulfillment systems, developing a dynamic programming algorithm (2024) that efficiently solves the order scheduling and rack sequencing problem—a critical challenge for e-commerce and warehouse automation. His algorithm optimizes the coordination of automated guided vehicles and picking stations, directly improving throughput in modern fulfillment centers. Kovalyov’s research bridges theoretical optimization with practical industrial applications, making him a key figure in the evolution of smart manufacturing and logistics. His work continues to influence both academic research and real-world system design.