Farhan Zafar Khan

Papers

Total Citations

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About

Farhan Zafar Khan is a researcher focused on industrial automation and logistics, with a particular emphasis on optimizing material handling systems. His most-cited work, "Automated logistic systems: needs and implementation" (2020), addresses the critical challenge of warehouse automation by proposing an Automated Guided Vehicle (AGV)-based solution to replace manual labor for large-scale goods transfer. This paper, with 5 citations, lays foundational groundwork for improving efficiency and scalability in modern warehousing. Khan’s contributions are significant for industries seeking to reduce operational costs and human error through intelligent automation. His research bridges the gap between theoretical system design and practical implementation, offering actionable insights for engineers and supply chain managers. By tackling the pressing need for automated picking processes, Khan demonstrates a keen understanding of real-world logistics demands. His work serves as a valuable resource for students and researchers exploring the intersection of robotics, control systems, and industrial engineering. As automation continues to reshape global supply chains, Khan’s research provides a clear pathway for integrating AGVs into warehouse operations, marking him as a promising voice in the field of automated logistics.