Janib Agha

Karachi Institute of Economics and Technology

Papers

Total Citations

H-Index

About

Janib Agha 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 in large-scale goods transfer and picking processes. This contribution, garnering 5 citations, highlights his practical approach to improving efficiency and scalability in modern supply chains. Agha’s research bridges the gap between theoretical automation frameworks and real-world industrial needs, offering actionable insights for reducing operational costs and human error in logistics. His work is particularly relevant for students and professionals exploring Industry 4.0 technologies, warehouse digitization, and the integration of autonomous systems. By tackling the pressing demands of high-volume material movement, Janib Agha positions himself as a contributor to the evolving landscape of smart logistics, where automation is key to meeting growing global trade requirements.