Marvin Sperling
Papers
1
Total Citations
6
H-Index
1
About
Marvin Sperling is a leading researcher in industrial automation and sustainable manufacturing, with a focus on energy-efficient material flow systems. His work centers on modeling the energy requirements of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) by integrating material flow and layout data. Sperling’s major contribution lies in developing state-based energy models that enable factories to predict and reduce energy consumption without compromising throughput—a critical step toward green logistics. His most-cited paper, “Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data” (2024), has already garnered 6 citations, reflecting its timely relevance as industries seek to decarbonize. Beyond this, Sperling’s research bridges the gap between theoretical optimization and practical implementation, offering engineers actionable tools for designing energy-aware production systems. His work is notable for addressing the often-overlooked energy footprint of intra-logistics, positioning him as a key voice in the transition to resource-efficient smart factories.
Research Focus
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Top Papers
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