Suryakant Kumar

Papers

Total Citations

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About

Suryakant Kumar is a rising researcher in operations management and supply chain logistics, with a focus on the human and technological dimensions of warehouse order fulfillment. His work addresses critical challenges in e-commerce supply chains, particularly in parts-to-picker systems and the management of priority orders. In his highly cited 2023 paper, "Planning a parts-to-picker order picking system with consideration of the impact of perceived workload" (24 citations), Kumar explores how worker perception of workload affects system efficiency, bridging behavioral operations with warehouse design. His 2024 study, "Will Too Many Cooks (Robots) Spoil the Broth (Order Fulfillment)? Navigating Priority Orders in Warehousing Operations of E-Commerce Supply Chains" (9 citations), tackles the pressing industry problem of balancing regular and prime customer orders in automated warehouses. This work is particularly timely as e-commerce giants grapple with escalating fulfillment demands. Kumar's research offers practical insights for warehouse operators seeking to optimize robotic and human labor while maintaining service levels. His contributions are shaping next-generation logistics systems that are both efficient and worker-aware.