Erwin Pesch

University of Siegen

Papers

6

Total Citations

121

H-Index

5

About

Erwin Pesch is a distinguished operations research scholar whose work spans scheduling theory, logistics optimization, and the emerging frontiers of digital manufacturing and supply chain management. His research has made particularly significant contributions to the automation of warehouse operations, most notably through his pioneering investigations into robotic mobile fulfillment systems (RMFS). Pesch and his collaborators have developed advanced mathematical programming formulations, column generation heuristics, and dynamic programming algorithms to tackle the complex order scheduling and rack sequencing challenges inherent in these automated warehouse environments — work that has collectively garnered over 50 citations in just a few years, reflecting its strong resonance within the field. Beyond warehousing, Pesch has explored innovative last-mile logistics concepts, including the imaginative "Piggyback Transportation Problem" involving drone delivery from airborne warehouses, which has attracted 48 citations since 2021 and signals his appetite for tackling forward-looking logistical challenges. His scholarly contributions extend to foundational scheduling theory and the integration of artificial intelligence with Industry 4.0 principles in digital manufacturing. Through this diverse yet coherent body of work, Pesch has established himself as a leading voice bridging rigorous mathematical optimization with practical, real-world industrial applications.

Research Focus

Key Achievements

5
H-Index
6
Papers
121
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
The Piggyback Transportation Problem: Transporting drones launched from a flying warehouse
48 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Siegen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago