Susana Relvas

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About

Dr. Susana Relvas is a leading researcher in industrial engineering, specializing in manufacturing logistics, simulation, and automation. Her work focuses on optimizing in-house logistics operations—the critical internal supply chains that support production lines. She has made major contributions by developing simulation models that help decision-makers improve system efficiency in complex manufacturing environments. Notably, her 2018 study on collaborative robots in order picking systems (20 citations) pioneered the integration of human-robot collaboration in manufacturing supermarkets, demonstrating how automation can enhance productivity without full replacement of human workers. Her more recent 2022 simulation of in-house logistics (13 citations) addresses the growing complexity of modern factories, providing tools to identify bottlenecks and optimize material flow. Dr. Relvas’s research bridges the gap between theoretical modeling and practical industrial application, offering actionable insights for engineers and managers. Her work is particularly valuable for students and researchers interested in Industry 4.0, logistics optimization, and the human-centric design of automated systems.