Dominik Goeke

Papers

Total Citations

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About

Dominik Goeke is a leading researcher in operations management and logistics, with a primary focus on the optimization of automated warehousing and material handling systems. His work bridges the gap between theoretical modeling and practical industrial applications, particularly in the context of Industry 4.0 and autonomous mobile robots (AMRs). His most cited paper, "Order batching and batch sequencing in an AMR-assisted picker-to-parts system" (2021, 68 citations), makes a seminal contribution by developing novel mathematical models and solution algorithms that coordinate human pickers with AMRs to minimize travel time and order throughput. This research directly addresses the critical challenge of integrating human-robot collaboration in dynamic fulfillment centers, offering significant efficiency gains over traditional picker-to-parts systems. Beyond this, Goeke has published extensively on vehicle routing, electric fleet management, and facility layout design, consistently demonstrating how advanced optimization techniques can reduce operational costs and environmental impact. His work is widely cited by both academics and industry practitioners, and he is recognized for his ability to translate complex combinatorial optimization problems into actionable decision-support tools. For students and researchers, Goeke’s research provides a clear blueprint for tackling real-world logistics challenges through rigorous, data-driven modeling.