Maria Hulla

Papers

Total Citations

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About

Maria Hulla is a leading researcher in production logistics and learning factory systems, with a focus on digitalizing internal material supply processes for modern assembly lines. Her most cited work, "Digitalized milk-run system for a learning factory assembly line" (2019, 20 citations), addresses critical industry challenges—rising product variants, shorter life cycles, and growing complexity—by optimizing the efficiency of just-in-time material delivery. Hulla’s major contribution lies in integrating digital tools with lean logistics principles, demonstrating how cyber-physical systems can enhance real-time decision-making in manufacturing environments. Her research has practical impact, offering scalable solutions for industrial companies seeking to streamline operations. Beyond this paper, Hulla is recognized for advancing the learning factory concept as a hands-on educational platform, bridging academic theory and industrial application. Her work has influenced both practitioners and scholars, with her citation record reflecting growing interest in smart logistics and Industry 4.0. Hulla’s achievements include contributing to the development of agile, data-driven assembly systems that reduce waste and improve throughput, making her a notable voice in the future of sustainable and responsive manufacturing.