Diego Ruiz-Hernandezمشاهده پروفایل
مدرس ارشد
Dr. Diego Ruiz-Hernandez serves as Senior Lecturer in Management Science at the University of Sheffield's Management School, where he directs the MSc Management program and belongs to the Operations Management and Decision Sciences department. His academic career spans Universitat Pompeu Fabra (1998-2009), Universidad de Navarra (2006-2009), University College for Financial Studies (2009-2018), with visiting positions at UK institutions including Edinburgh, Strathclyde, and Lancaster universities, plus Kedge Business School in Bordeaux. He holds a PhD in Operational Research from Universitat Pompeu Fabra in Catalonia, forming the foundation for his expertise in mathematical optimization and decision sciences. His professional journey reflects deep integration with both European academic institutions and industry collaborations. Ruiz-Hernandez's research centers on facility location theory, particularly banking network restructuring ('delocation' problems) and supply chain complexity measurement. He pioneered an entropy-based complexity metric satisfying rigorous internal/external consistency requirements, validated through partnerships with global firms. His work bridges theoretical operations research with practical applications in banking, healthcare, and renewable energy sectors, emphasizing mathematical modeling of proliferation effects and stochastic scheduling challenges. Recent publications reveal consistent focus on location-allocation problems with real-world constraints, evolving from banking restructuring to supply chain complexity and renewable energy maintenance. Key trends include entropy-based complexity metrics, bilevel programming for competitive environments, and restless bandit approaches for maintenance scheduling, all characterized by strong industry collaboration (notably BBVA) and methodological innovation in handling spatial, stochastic, and structural complexities. As an advisor, he supervised Xiaochen Feng's 2024 PhD on humanitarian evacuation modeling and actively recruits doctoral candidates for supply chain complexity and facility location research. He currently leads a BBVA-funded project on bank network restructuring while directing the Supply Chain, Operations and Logistics Applied Research Centre, where his team develops mathematical frameworks to mitigate complexity-driven profit erosion in global supply chains. His leadership extends to the Supply Chain, Operations and Logistics Applied Research Centre, where cross-disciplinary teams tackle complexity measurement, network restructuring, and stochastic resource allocation through industry-academia partnerships. Current initiatives focus on validating complexity control mechanisms and developing robust scheduling rules for large-scale maintenance operations under execution uncertainty.






