Uta Mohring

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About

Uta Mohring is a leading researcher in production logistics and assembly systems, with a focus on the integration of autonomous mobile robots (AMRs) and real-time data to optimize mixed-model assembly lines. Her work addresses the critical challenge of part feeding scheduling, where flexible, data-driven systems are essential to meet growing demands for customization and rapid delivery. In her most-cited paper, "Part feeding scheduling for mixed-model assembly lines with autonomous mobile robots: benefits of using real-time data" (2024, 7 citations), Mohring demonstrates how leveraging real-time information can significantly reduce station idle times and minimize inventory on the shop floor, offering a practical pathway to more resilient and efficient manufacturing. Her research bridges the gap between theoretical scheduling models and industrial application, providing actionable insights for smart factories. By advancing the use of AMRs in dynamic production environments, Mohring’s contributions are shaping the future of flexible automation and Industry 4.0 logistics. Her work is particularly influential for researchers and practitioners seeking to harness digitalization for leaner, more responsive assembly operations.