Corinna Possin

Technical University of Munich

Papers

1

Total Citations

9

H-Index

1

About

Corinna Possin is a researcher focused on the intersection of manufacturing engineering and economic decision-making, with a primary emphasis on the life cycle cost estimation of robot systems. Her key contributions lie in developing methodologies for assessing the financial viability of automation technologies during the earliest, most uncertain phases of production planning—a critical challenge in simultaneous engineering. Her most-cited work, "Life Cycle Cost Estimation of Robot Systems in an Early Production Planning Phase" (2016, 9 citations), addresses the gap where traditional calculation methods fail to account for the flexible deployment of robot systems across varying production contexts. This research provides a framework for comparing manufacturing alternatives when information is incomplete, enabling more informed capital investments. While her citation count reflects a niche but impactful contribution, Possin’s work is notable for bridging technical robotics with strategic cost modeling, offering practical tools for engineers and managers navigating the complexities of Industry 4.0. Her findings support the shift toward adaptable, cost-efficient automation in modern factories, making her a valuable voice in production economics.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Life Cycle Cost Estimation of Robot Systems in an Early Production Planning Phase
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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