Masoud Mirzaei
Papers
1
Total Citations
34
H-Index
1
About
Masoud Mirzaei is a leading researcher in operations management, with a focus on logistics, warehousing, and supply chain optimisation. His work addresses critical challenges in modern e-commerce fulfilment, particularly in robotic warehouses, where efficient storage assignment is key to reducing response times. In his highly cited 2021 paper, "How to benefit from order data," Mirzaei introduced a novel approach to correlated dispersed storage assignment that leverages historical customer order data to optimise product placement. This work, which has garnered 34 citations, demonstrates how integrating data-driven insights with traditional turnover-based slotting can significantly enhance warehouse performance. Mirzaei’s contributions are shaping the future of automated logistics, offering practical solutions for online retailers seeking to balance product dispersion with operational efficiency. His research bridges the gap between theoretical models and real-world applications, making him a notable figure in the field of supply chain analytics.
Research Focus
Key Achievements
Top Papers
- 1