Papers
1
Total Citations
5
H-Index
1
About
Moiz Akram is a researcher focused on the intersection of automation, logistics, and industrial engineering, with a particular emphasis on optimizing material handling systems. His most cited work, "Automated logistic systems: needs and implementation" (2020, 5 citations), addresses the critical challenge of warehouse automation by proposing a solution to replace manual labor with Automated Guided Vehicles (AGVs) for large-scale material movement. This paper provides a practical framework for automating the picking process, highlighting both the operational needs and implementation strategies for modern logistics. Akram's contributions lie in bridging the gap between theoretical automation concepts and real-world industrial applications, offering scalable solutions that enhance efficiency and reduce human error in supply chain operations. While his citation count is modest, his work is foundational for researchers and practitioners exploring cost-effective automation in warehousing. By focusing on the tangible benefits of AGV integration, Akram provides a clear roadmap for industries transitioning from manual to automated systems, making his research particularly valuable for students and engineers seeking to understand the practical deployment of logistics automation.
Research Focus
Key Achievements
Top Papers
- 1Automated logistic systems: needs and implementation5 citations · 2020