Alexander Neb

Fraunhofer Institute for Manufacturing Engineering and Automation

Papers

Total Citations

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About

Alexander Neb is a leading researcher in intelligent manufacturing and robotic automation, with a focus on bridging the gap between digital design and physical production. His primary research areas include CAD-based offline robot programming, disassembly automation, and multi-criteria decision analysis for production systems. Neb’s most cited work, “Towards a CAD-based Automated Robot Offline-Programming Approach for Disassembly” (2021, 15 citations), introduces a novel method that automatically generates robot programs from CAD product models, significantly reducing the time and complexity of programming industrial robots for disassembly tasks. This contribution addresses a critical bottleneck in sustainable manufacturing and circular economy practices. Additionally, his paper “Quantification and Evaluation of Automation Concepts based on a Multi-Criteria Decision Analysis” (2019, 4 citations) provides a comprehensive framework for comparing full-automation, human-robot collaboration, and manual assembly, considering factors beyond cost and quantity. Neb’s work is notable for its practical impact on flexible and efficient production systems, offering engineers and researchers actionable tools for implementing automation in complex, real-world environments.