X. (Xishu) Li MSc
Xishu Li is a PhD Candidate at the Department of Technology & Operations Management, Rotterdam School of Management, Erasmus University. Her supervisor team includes Professor Rene De Koster, Professor Rommert Dekker, and Professor Rob Zuidwijk.
She is specialized in operations management, quantitative logistics, economic modeling and software development. Her research topics include capacity investment, dynamic pricing, supply disruption risk forecasting, new product launch, and sustainability. By means of optimization models, algorithms, simulations and big data analytics, She investigates the optimal long-term investment and pricing policy under market uncertainty and competition pressure. Her research links closely to practices, by revealing the underlying mechanisms behind the "irrational" investments observed in practice and suggesting the best investment decisions, as well as pricing policy, at the moment. Her results also help firms gain competitive advantages by predicting the competitors' future moves.
PhD Track Dynamic Decision Making under Supply Chain Competition
This dissertation studies the impact of uncertainty and competition on a firm’s decision making in the field of operations management. First, I investigate the dynamics of a firm’s decision. Second, I investigate how competition between supply chain players changes the dynamics of a firm’s decisions. I focus on three specific decision areas: (1) capacity planning at the strategic and tactic levels (2) anti-counterfeiting strategies at the tactic level; and (3) risk management for long field-life systems at the operational level. Our main genetic research questions are as follows:
- how should a firm make its capacity investment decisions in a competitive market, considering the changing demand?
- how can a firm compete against counterfeiters in a global supply chain?
how should a firm that purchases parts manage end-of-supply risk of these parts, considering the changing supply and demand?
- Capacity, Competition, New Product Launch, Anti-counterfeiting, Risk assessment, Big Data
- Time frame
- 2013 -
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