Kashif Mahmood
Papers
12
Total Citations
92
H-Index
6
About
Kashif Mahmood is a leading researcher in the fields of industrial robotics, production intralogistics, and lean automation, with a focus on transforming manufacturing environments for small and medium-sized enterprises. His work centers on integrating Industry 4.0 technologies—such as autonomous mobile robots (AMRs), collaborative robots, and digital twins—to optimize production efficiency and flexibility. Mahmood’s major contributions include developing decision-making frameworks for robot-based manufacturing cells and creating simulation-driven models that enhance intralogistics performance. His most cited paper, “Suitability analysis of using industrial robots in manufacturing” (2019, 16 citations), provides critical guidance for companies evaluating robotization, while “Lean Automation for Low-Volume Manufacturing Environment” (2019, 15 citations) addresses the unique challenges of automating complex, low-volume assembly tasks. With over 80 total citations, Mahmood’s research has practical impact, offering actionable insights for real-world implementation. Notably, his 2024 study on process optimization for AMRs in production logistics demonstrates his ongoing commitment to advancing digital solutions that boost competitiveness. Mahmood’s work is essential reading for engineers and researchers seeking to bridge the gap between cutting-edge automation theory and industrial practice.
Research Focus
Key Achievements
Top Papers
- 1
- 2Lean Automation for Low-Volume Manufacturing Environment15 citations · 2019
- 3Production Intralogistics Automation Based on 3D Simulation Analysis12 citations · 2021
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- 5Simulation based Performance Analysis of Production Intralogistics9 citations · 2021
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- 10Simulation based feasibility analysis of autonomously movable robot arm4 citations · 2021