Abdulrahman Al‐Ahmari
Papers
6
Total Citations
67
H-Index
5
About
Abdulrahman Al‐Ahmari is a leading researcher in advanced manufacturing systems, specializing in the optimization, automation, and digital transformation of industrial processes. His work primarily focuses on robotic cell scheduling, flexible manufacturing systems, and the integration of virtual reality (VR) and smart vision technologies into production environments. Al‐Ahmari’s major contributions include developing mathematically based timed Petri nets to optimize robotic cell scheduling, a method that has garnered 30 citations for its precision in controller design. He has also pioneered the use of VR for manufacturing, demonstrating its practical application in a robotic cell case study (11 citations), and has advanced performance analysis of multimachine flexible cells using stochastic Petri nets (9 citations). His notable work extends to the assessment of industrial robots through multi-criteria decision-making tools like AHP and TOPSIS (7 citations), and he has recently contributed to Industry 4.0 with a modular smart vision system for automated inspection and quality control (6 citations). With a cumulative impact of over 67 citations, Al‐Ahmari’s research bridges theoretical modeling and real-world industrial innovation, making him a key figure in the evolution of smart, efficient, and flexible manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Virtual reality for manufacturing: A robotic cell case study11 citations · 2015
- 3
- 4Assessment of alternative industrial robots using AHP and TOPSIS7 citations · 2013
- 5
- 6Iterative optimization for frame-by-frame object pose tracking4 citations · 2017