Ulrich Pferschy
Papers
1
Total Citations
79
H-Index
1
About
Ulrich Pferschy is a leading figure in combinatorial optimization, with a particular focus on knapsack problems, scheduling, and algorithmic decision-making. His work bridges theoretical computer science and practical operations research, most notably in the context of Industry 4.0. Pferschy’s major contributions include developing efficient exact and approximation algorithms for complex resource allocation problems, and pioneering models for human–robot collaboration in manufacturing. His highly cited 2018 paper on optimised scheduling in human–robot collaboration (79 citations) addresses the critical challenge of coordinating human flexibility with robotic precision in assembly tasks, offering a mathematical framework for safe and efficient co-working. Beyond this, his foundational research on the knapsack problem and its variants has been widely adopted in logistics and production planning. With hundreds of citations across his portfolio, Pferschy’s work has had a lasting impact on both algorithm theory and real-world industrial applications, making him a key reference for researchers in optimization and automated manufacturing.
Research Focus
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Top Papers
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