Prof. PANG Zhan (龐湛)

Dr. Zhan Pang is associate professor in Management Sciences at the College of Business, City University of Hong Kong, Hong Kong. Before joining CityU, he was senior lecturer (associate professor) in Management Science at Lancaster University Management School, Lancaster, UK, and adjunct professor in Norwegian School of Economics (NHH). He has also worked as research associate at the Department of Mathematics and Statistics of University of Calgary, Judge Business School of University of Cambridge, and Rotman School of Management of University of Toronto.  He has published in pricing and revenue management, inventory and production operations management, risk management and supply chain management. His research has appeared in flagship journals in operations research/management, including Operations Research, Manufacturing and Service Operations Management, Production and Operations Management, etc., and top engineering journals such as IEEE Transactions on Automatic Control and Applied Energy. His current research interests include data modeling and predictive analytics, pricing and revenue management, supply chain risk management, and sharing economy. He has consulted in the online retailing, pharmaceutical, health service, energy and financial service industries, and is currently an independent director of a public energy technology company listed on the HKEx.  

He is actively recruiting PhD talents with solid backgrounds in Mathematics & Stastistics, Operations Research, Computer Science or Economics, and a strong interest in Supply Chain Finance.   

Supply Chain Finance (SCF, 供应链金融) is a ermerging business discipline which bridges the gap between supply chain working capital and liqulidity shortage and trade and logistics financial services.  Working capital management issues in supply chains have received increasing attention in recent years as the traditional trade finance tends to be outdated in this volatile and evolving economy while tens of thousands of SMEs are struggling to finance and operate their businesses and manage their supply chains (e.g., strategic sourcing & procurement management, logistics and distribution management, etc.).   Innovation in business models and information technologies like blockchains and smart contracts is reshaping the ecosystem of supply chains and driving the innovation of the operational and risk management strategies, providing us exiting topics which are extremely demanded in all industries (e.g., energy, manufacturing, health care, retailing, e-commerce, ...). To tackle the new challenge, we will develop new theories and analytical techniques for some interesting new problems arising on this emerging discipline, sitting on the solid foundation of economics (e.g., game theory, contract theory, etc.), operational research (e.g., dynamic optimization, stochastic inventory theory and supply chain management),  financial risk management (e.g., commodity finance, financial engineering, asset pricing theory, etc.) and statistical learning (e.g., Bayesian theory, machine learning, etc.) and working closely with largest industrial partners to gain first-hand experience and to explore actional insights.   

• Operations Research
• Pricing and Revenue Management
• Big Data and Business Analytics
• Supply Chain Finance & Risk Management

Working papers

• Xuying Zhao, Zhan Pang and Wenqiang Xiao (2016), "Advance Selling with Price Guarantee: Profiting from Demand Uncertainty".
• Xin Chen, Xiangyu Gao and Zhan Pang (2015), "Dual sourcing with random supply capacity".
• Xuying Zhao and Zhan Pang (2015), "Biases in online consumer review valence: Implications for pricing and social interaction strategies".
• Panos Kouvelis, Zhan Pang and Qing Ding (2015), "Dynamic financial hedging strategies for a stochastic commodity with demand uncertainty".

Teaching Activities (past 3 academic years)