Papers
17
Total Citations
605
H-Index
10
About
Quang-Vinh Dang is a leading researcher in the optimization of automated manufacturing systems, with a primary focus on the scheduling of mobile robots and automated guided vehicles (AGVs). His work addresses critical challenges in flexible manufacturing environments, particularly the efficient coordination of heterogeneous AGV fleets under real-world constraints like battery limitations and time windows. Dang’s major contributions include developing matheuristic and genetic algorithm-based approaches that simultaneously schedule machines and mobile robots, enabling adaptive, high-mix low-volume production. His most influential paper, “A matheuristic for AGV scheduling with battery constraints” (2021), has garnered 131 citations, while his work on scheduling heterogeneous multi-load AGVs (2021) has 96 citations, underscoring the practical relevance of his research. Notably, Dang’s methodology for implementing mobile robots in adaptive manufacturing (2015) has been cited 99 times, reflecting its impact on industry. His achievements include bridging the gap between theoretical scheduling models and real-world manufacturing systems, as demonstrated by his simulation-based design for automated systems (2022). Dang’s research is essential for students and practitioners seeking to enhance efficiency and sustainability in modern, robot-driven factories.
Research Focus
Key Achievements
Top Papers
- 1A matheuristic for AGV scheduling with battery constraints131 citations · 2021
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- 3Scheduling heterogeneous multi-load AGVs with battery constraints96 citations · 2021
- 4Scheduling a single mobile robot for part-feeding tasks of production lines72 citations · 2013
- 5Scheduling of mobile robots for transportation and manufacturing tasks43 citations · 2018
- 6Scheduling of Mobile Robots with Preemptive Tasks30 citations · 2014
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- 10Simultaneous Scheduling of Machines and Mobile Robots14 citations · 2013