Rizki Mayandi Hasibuan

Universitas Sumatera Utara

Papers

1

Total Citations

8

H-Index

1

About

Rizki Mayandi Hasibuan investigates the intersection of robotics and e-commerce logistics, with a primary focus on warehouse automation and human-robot collaboration. His most-cited work, "Robot as Staff: Robot for Alibaba E-Commerce Warehouse Process" (2023, 8 citations), presents a compelling case study demonstrating how robots can effectively replace human staff in high-volume warehouse operations. By analyzing Alibaba—the world’s largest e-commerce platform—Hasibuan illustrates how robotic systems handle sorting, packing, and delivery tasks with efficiency and precision. This research contributes to the growing discourse on Industry 4.0, showing that robots are not merely tools but capable of assuming roles traditionally held by human workers. His work has implications for supply chain optimization, labor economics, and the future of work in automated environments. Hasibuan’s findings offer practical insights for companies seeking to integrate robotics into their logistics infrastructure, while also raising important questions about workforce displacement and the evolving role of human labor in automated systems. His research continues to inform both academic discussions and industrial applications in warehouse robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robot as Staff: Robot for Alibaba E-Commerce Warehouse Process
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universitas Sumatera Utara

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago