Biao Yang
Associate Professor · Logistics and supply chain management
University of SussexAbout
Dr. Biao Yang serves as Associate Professor in Operations Management at the University of Sussex Business School, bringing substantial academic and industry experience to his role. His career path includes four years as an electronic engineer prior to completing a fully-funded PhD in manufacturing management at Loughborough University. He subsequently worked as a Research Associate at Cardiff Business School on the EPSRC and Department for Transport-sponsored ITeLS project before holding academic positions at the Universities of York, Ulster, and Groningen.
Dr. Yang's research focuses on logistics and supply chain management, service operations management, artificial intelligence and data analytics in supply chains, supply chain modelling and simulation, and stochastic models for inventory and production. His work bridges theoretical operations research with practical industry applications, frequently involving empirical case studies across diverse sectors including retail, healthcare, agriculture, and manufacturing. Recent publications demonstrate increasing attention to sustainability, gender diversity in supply chains, and data-driven approaches to operations management challenges.
His publication record shows consistent output in high-quality journals with notable impact, including several papers with significant citation counts. While specific grant information isn't detailed in the available text, his EPSRC-sponsored early career work suggests experience with competitive research funding. Dr. Yang teaches Supply Chain Modelling and previously taught Managing Projects and Technologies, connecting his teaching directly to his research expertise.
Dr. Yang's academic journey reflects international experience across multiple UK and European institutions, with research that addresses both fundamental operations management questions and contemporary challenges facing supply chain practitioners. His work demonstrates a commitment to producing research with practical relevance while maintaining academic rigor.
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