Jiyin Liu

Professor Jiyin Liu is a Professor of Operations Management and Director of Undergraduate Studies at Loughborough Business School. He holds a BEng (1982) and MEng (1985) in Industrial Automation and Systems Engineering from Northeastern University, China, and a PhD (1993) in Manufacturing Engineering and Operations Management from the University of Nottingham. His career includes roles as an Assistant Professor at Hong Kong University of Science and Technology (HKUST), where he contributed to logistics management program development and received teaching awards. He joined Loughborough in 2003, became a Professor in 2005, and served as Head of the MIDO Group (2008–2013). His expertise focuses on operations planning, scheduling, and supply chain/logistics optimization, blending academic rigor with industry relevance.

Education:

• BEng in Industrial Automation, Northeastern University of China (1982)
• MEng in Systems Engineering, Northeastern University of China (1985)
• PhD in Manufacturing Engineering and Operations Management, University of Nottingham (1993)

Research Interests: Professor Liu’s work addresses complex optimization challenges in logistics, manufacturing, and service systems. His research bridges theoretical models and practical applications, with a focus on scheduling algorithms, risk-aware decision-making, and sustainable operations. Key areas include steel production optimization, vehicle routing, crane scheduling in ports, and dynamic pricing strategies. His methodologies often involve metaheuristics (e.g., genetic algorithms, differential evolution) and machine learning approaches.

Recent Research Trends: His publications (2020–2023) emphasize logistics and manufacturing optimization, with notable contributions to steel industry operations, green vehicle routing, and risk-aware scheduling. He also explores decision support systems for bundling shipments and optimizing resource allocation in dynamic environments.

Awards:

• Teaching Excellence Appreciation award (twice, Hong Kong University of Science and Technology)

Collaborations & Impact: He collaborates with global firms such as Hongkong International Terminals, Baosteel, and Philips Electronics. His work on Baosteel’s operations optimization and container terminal logistics has demonstrated real-world impact. He also contributed to developing decision support systems for field service scheduling and emergency resource allocation post-disasters.

Labs/Teams: Leads research initiatives in operations management, focusing on industrial applications through partnerships with industry stakeholders. His team specializes in mathematical modeling (MILP, heuristic algorithms) and data-driven solutions for complex operational problems.