George Chen
Assistant Professor of Management Science and Operations
BEng (Tsinghua) PhD (Michigan)
Dr. George Chen’s research focuses on the design of pricing strategies and mechanisms under both non-strategic uncertainty and strategic interactions, with applications in revenue management and pricing analytics, and strategic sourcing and supply chain management. For example, his past research has examined the design and optimisation of effective large-scale dynamic pricing controls in various service industries.
George’s work has been published in Management Science, Manufacturing & Service Operations Management, and Mathematics of Operations Research. He has presented his work at major conferences and leading academic institutions worldwide.
Before joining in London Business School, George taught courses at the undergraduate and graduate levels at the University of Michigan and the University of Texas at Dallas, and was involved in consulting projects with firms in hospitality, automobile, and energy industries.
He holds a PhD in Business Administration from the University of Michigan, and a B.Eng in Automation from Tsinghua University, China.
- Personal website
- gchen@london.edu
- +44 (0)20 7000 8848
- George Chen CV
- Revenue Management and Pricing Analytics
- Digital Marketplace Analytics
- Supply Chain management and Strategic Sourcing
- Production and Inventory Management
2023
Real-time spatial-intertemporal dynamic pricing for balancing supply and demand in a ride-hailing network
Chen Q; Lei Y; Jasin S
Operations Research 2023 Online first
2022
Optimal Use and Replenishment of Two Substitutable Raw Materials in a Stochastic Capacitated Make-to-Order Production System
Chen Q; Duenyas I; Jasin S
Manufacturing & Service Operations Management 2022 Vol 24:4 p 2274-2292
Procurement Mechanisms with Post-Auction Pre-Award Cost-Reduction Investigations
Beil D R; Chen Q; Duenyas I
Operations Research 2022 Vol 70:6 p 3054-3075
2021
'Now or later?': when to deploy qualification screening in open-bid auction for re-sourcing
Zhang W; Chen Q; Katok E
Operations Research 2021 Vol 69:6 p 1715-1733
Technical note - Joint learning and optimization of multi-product pricing with finite resource capacity and unknown demand parameters
Chen Q; Jasin S; Duenyas I
Operations Research 2021 Vol 69:2 p 560-573
2019
Nonparametric self-adjusting control for joint learning and optimization of multi-product pricing with finite resource capacity
Chen Q; Jasin S; Duenyas I
Mathematics of Operations Research 2019 Vol 44:2 p 601-631
2018
When to deploy test auctions in sourcing
Beil D R; Chen Q; Duenyas I; See B D
Manufacturing & Service Operations Management 2018 Vol 20:2 p 131-388
2016
Real time dynamic pricing with minimal and flexible price adjustment
Chen Q; Jasin S; Duenyas I
Management Science 2016 Vol 62:8 p 2437-2455
2011
Joint inventory-location problem under the risk of probabilistic facility disruptions
Chen Q; Li X; Ouyang Y
Transportation Research Part B: Methodological 2011 Vol 45:7 p 991-1003
2020
Procurement mechanisms with post-auction pre-reward cost-reduction investigations
Chen Q; Beil D R; Duenyas I
Social Sciences Research Network
Real-time spatial-intertemporal dynamic pricing for balancing supply and demand in a ride-hailing network
Chen Q; Lei Y; Jasin S
Social Sciences Research Network
2019
'Now or later?': when to deploy qualification screening in open-bid auction for re-sourcing
Zhang W; Chen Q; Katok E
Social Sciences Research Network
2016
Optimal use and replenishment of two substitutable raw materials in a stochastic capacitated make-to-order production system
Chen Q; Duenyas I; Jasin S
Social Sciences Research Network
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Operations Management