Philipp Trost
Papers
5
Total Citations
34
H-Index
4
About
Philipp Trost has established himself as a leading researcher in the emerging field of robotic compact storage and retrieval systems (RCS/RS), a rapidly growing segment of automated warehouse technology. His work addresses a critical gap in the literature: despite thousands of RCS/RS installations worldwide, rigorous performance modeling for these systems has been remarkably scarce. Trost's major contributions span both simulation-based and analytical approaches to understanding system throughput and optimal design. His investigations explore key operational variables, including robot-to-station ratios, stack height configurations, relocation strategies, and class-based storage structures, providing warehouse planners with actionable, quantitative frameworks for system design. His 2023 simulation study examining multi-robot configurations serving a single picking station garnered 10 citations, while subsequent analytical models have each attracted 7–9 citations, demonstrating rapid uptake within the logistics engineering community. What distinguishes Trost's research is its practical orientation: by developing scalable analytical tools, he empowers industry practitioners to evaluate RCS/RS performance without costly trial-and-error implementation. His growing body of work, spanning 2023 to 2025, signals an ambitious and productive research agenda at the intersection of robotics, operations research, and modern intralogistics.
Research Focus
Key Achievements
Top Papers
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