School of Business and Economics

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Dr Dong Li BEng MEng (XJTU), MEng (NUS), PhD (Lancaster)

Photo of Dr Dong Li

Senior Lecturer in Operations Management

Dong Li is a senior lecturer in Operations Management in the School of Business and Economics at Loughborough University since Apr 2018. Prior to Loughborough he was a lecturer in Operations Management at the University of York between 2012 and 2018. Apart from the academic posts, Dong had worked as an operations research analyst for a number of years in AVIS Budget Group (Bracknell, UK) and Intel Corp (Shanghai).

He holds a BEng in Mechanical Engineering from Xi’an Jiaotong University, China (1999), and an MEng from the same institution (2002). He obtained his second MEng (in Industrial Engineering) from National University of Singapore (2004), and received his PhD degree in Management Science from Lancaster University (2011).

Dong’s main research interests revolve around operations research and their applications. He is particularly interested in revenue management and pricing, demand management, scheduling and resource allocation (under uncertainty). Methodologically he is mostly skilled in Markov decision process, approximate dynamic programming, and stochastic programming. Indeed, most of his research works address practical optimisation/decision-making problems with uncertainties.

His research has appeared in European Journal of Operational Research, Naval Research Logistics, Journal of Revenue and Pricing Management, OR Spectrum, Transportation Research Part E, and etc.

One of his recent research projects studies the application of the celebrated Whittle’s index policies to the resource allocation problems with a finite and uncertain time horizon that is dependent upon the policies implemented into the system. This is a typical problem arising in the allocation of scarce medical resources aftermath mass casualty incidents such as natural disasters or terrorist attacks.

On the revenue management side, his main intertest is to design efficient models and algorithms to determine the optimal booking control policies and/or dynamic pricing to achieve the maximum revenue. Rather than the traditional airline industry, Dong has been focusing on car rental firms and has recently extended to car sharing systems.

Dong is also interested the stochastic programming problems. For example, he has studied the stochastic vehicle routing problems with uncertain deadlines, and the crane deployment problems with uncertain workload.

PhD Studies

We always welcome PhD applicants who are interested in any of those research areas mentioned above. For informal discussions, please contact Dong via the email listed on this page.

  • 2014 - Teaching Award, The York Management School, University of York
  • 2012 - Operational Research Society PhD prize Runners-up
  • 2011 - Kingsman Prize for the best doctoral researcher, Lancaster University
  • 2012 - present: invited talks/seminars in the UK and China
  • 2012 - present: reviewers for journals including European Journal of Operational Research, INFORMS Journal on Computing, Annals of Operations Research, IMA Journal of Management Mathematics
  • Yu, D, Li, D, Sha, M, Zhang, D (Accepted for publication) Carbon-efficient Deployment of Electric Rubber-tyred Gantry Cranes in Container Terminals with Workload Uncertainty, European Journal of Operational Research, ISSN: 0377-2217.
  • Hou, L, Li, D, Zhang, D (2018) Ride-matching and Routing Optimisation: Models and a Large Neighbourhood Search Heuristic, Transportation Research Part E: Logistics and Transportation Review, 118, pp.143-162, ISSN: 1366-5545.
  • N. Kourentzes, D. Li, A. Strauss, Unconstraining methods for revenue management systems under small demand, Journal of Revenue and Pricing Management, 1-15, 2017
  • D. Li, Z. Pang, Dynamic booking control for car rental revenue management: a decomposition approach, European Journal of Operational Research, 256(3):850-867, 2017
  • D. Li, K. D. Glazebrook, A Bayesian approach to the triage problem with imperfect classification, European Journal of Operational Research, 215(1): 169-180, 2011