Dr Xishu LiLecturer in Management Science
I am an Assistant Professor of Operations Management at Department of Management Science, Lancaster University Management School, UK.
Ph.D. (2019) in Operations Management, from Rotterdam School of Management, Erasmus University. My dissertation is on dynamic decision making under supply chain competition.
I am specialized in operations management, supply chain management, real-time optimization, pattern recognition, and software development. My research topics include capacity investment, transportation planning, supply disruption risk forecasting, new product development, technology adoption, and contracting in new forms of economy. Some examples of the research questions are: how (when) should firms invest in their production capacity for a new product under competition and uncertain consumer tastes? how to measure demand risk and consumer taste uncertainty? how should firms sign contracts with gig workers to ensure a sustainable and robust labor supply? how to assess supply disruption risk with limited data?
In all of my research, I work closely with firms, especially those in the aviation, retail, and pharmaceutical industries. Some examples of the firms which I work with are Fokker, Air France-KLM, Philips, and Amazon Web Service. With a keen eye for detail and a passion for innovation, I thrive in solving practical problems and providing impactful solutions. My focus extends beyond theoretical exploration as I actively engage in the implementation process, ensuring the seamless integration of my solutions.
Please view my work at this website: https://xishu.artificialintelligence.works/
PhD Supervision Interests
I am looking for Ph.D. students who are interested in studying operations problems such as contracting in the gig and sharing economy, operations management, and supply chain management. I have been supervising (first supervisor) Ph.D. students since 2018. I have experience in guiding both students with a quantitative background and students with a qualitative background.
Optimal competitive capacity strategies: Evidence from the container shipping market
Li, X., Zuidwijk, R., de Koster, M. 28/02/2023 In: Omega: The International Journal of Management Science. 115, p. 102790. 18 p.
Time for Upgrades? In Time for Consumers and Competition
Li, X., Zuidwijk, R., de Koster, R., Sethi, S. 28/02/2023 In: International Journal of Production Economics. 256, 45 p.
Business Transformation in an Age of Turbulence-Lessons Learned from COVID-19
Li, X., Voorneveld, M., de Koster, R. 31/03/2022 In: Technological Forecasting and Social Change. 176, 12 p.
Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand
Li, X., de Groot, M., Bäck, T. 31/08/2023 In: Decision Sciences. 54, 4, p. 394-409. 16 p.
Lifecycle Forecast for Consumer Technology Products with Limited Sales Data
Li, X., Yin, Y., Manrique, D.V., Bäck, T. 30/09/2021 In: International Journal of Production Economics. 239, 10 p.
When to Allocate Capacity for Upward Line Extensions Under Competition and Consumer Taste Uncertainty?
Li, X., Zuidwijk, R., de Koster, M., Sethi, S. 28/08/2021 SSRN Working Paper
Dynamic Capacity Investment under Competition
Li, X., Zuidwijk, R., de Koster, M., Dekker, R. 2018
Dynamic Decision Making under Supply Chain Competition
Li, X. 11/01/2019 Erasmus University.
Assessing end-of-supply risk of spare parts using the proportional hazard model
Li, X., Dekker, R., Heij, C., Hekimoglu, M. 30/04/2016 In: Decision Sciences. 47, 2, p. 373-394. 22 p.
Competitive Capacity Investment under Uncertainty
Li, X., Zuidwijk, R., de Koster, R., Dekker, R. 3/03/2016
Agile transformations and Organizational Performance: the impact of maturity, employee satisfaction and transformation approach
van Els, V.V., Li, X. 2018
Actionable policy insights for UK Export Finance
Senior Fellowship Higher Education Academy (SFHEA)
Fellowship awarded competitively
Prize (including medals and awards)
- Centre for Marketing Analytics & Forecasting
- Centre for Transport & Logistics (CENTRAL)
- Simulation and Stochastic Modelling
- STOR-i Centre for Doctoral Training