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Tolga Tezcan
Professor of Management Science and Operations; (on leave from London Business School)
BS (Bilkent) MS (Colorado State) MS PhD (Georgia Tech)
Academic Director of MBA, MiM, MAM, EMBA-Global and LBS Sloan Programmes
Professor Tolga Tezcan’s research focuses on how to design and manage service systems under uncertainty with applications in customer service and healthcare systems. He has worked with customer call centres, customer service chat systems, emergency departments, and hospitals. He was awarded the NSF Career Award in 2010 for his research and serves on the editorial boards of the journals Management Science, Operations Research, Stochastic Systems, and Mathematical Methods of Operations Research.
Professor Tezcan’s work has been published in Management Science, Operations Research, Manufacturing & Service Operations Management, Annals of Applied Probability, and other journals.
He teaches MBA courses on Business Analytics, Data Mining, and a PhD seminar on Queueing Theory. He has taught at the University of Illinois and University of Rochester.
- Personal website
- ttezcan@london.edu
- +44 (0)20 7000 8837
- Tolga Tezcan CV
Research Awards
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Career Award, 2010 NSF
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2nd place in the best paper competition of Informs Section for Public Programs, Service, and Needs, 2013
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2014, William E. Simon Graduate School of Business Administration Spring Teaching Honor Roll
2921
Proactive customer service: operational benefits and economic frictions
Delana K; Savva N; Tezcan T
Manufacturing & Service Operations Management 2921 Vol 23:1 p 70-87
2021
Hospital Readmissions Reduction Program does not provide the right incentives: issues and remedies
Arifoglu K; Ren H; Tezcan T
Management Science 2021 Vol 67:4 p 2191-2210
2019
Can yardstick competition reduce waiting times?
Savva N; Tezcan T; Yildiz O
Management Science 2019 Vol 65:7 p 3196-3215
When to use provider triage in emergency departments
Kamali M; Tezcan T; Yildiz O
Management Science 2019 Vol 65:3 p 955-1453
2016
Service systems with heterogeneous customers: investigating the effect of telemedicine on patient care
Rajan B; Tezcan T; Seidman A
Management Science 2016 Vol 65:3 p 1236-1267
2015
Approximations for chat service systems using many-server diffusion limits
Cui L; Tezcan T
Mathematics of Operations Research 2015 Vol 41:3 p 775-807
Optimal sampling strategies in the coupon collectors problem with unknown population size
Dobson G; Tezcan T
Annals of Operations Research 2015 Vol 233:1 p 77-99
2014
Determining the optimal configuration of hospital inpatient rooms in the presence of isolation patients
Pinker E; Tezcan T
Operations Research 2014 Vol 61:6 p 1259-1276
Routing and staffing in customer service chat systems with impatient customers
Tezcan T; Zhang J
Operations Research 2014 Vol 62:4 p 943-956
2013
Optimal workflow decisions for investigators in system with interruptions
Dobson G; Tezcan T; Tilson V
Management Science 2013 Vol 59:5 p 1125-1141
Stability analysis of N-model systems under a static priority rule
Tezcan T
Queueing Systems 2013 Vol 73:3 p 235-259
2012
Asymptotically optimal control of many-server heterogeneous service systems with H2* service times
Tezcan T
Queueing Systems 2012 Vol 71:4 p 445-467
Hazard rate scaling for the GI/M/n+GI queue in heavy traffic
Reed J; Tezcan T
Operations Research 2012 Vol 60:4 p 981-995
Robust design and control of call centers wit flexible interactive voice response systems
Tezcan T; Behzad B
Manufacturing & Service Operations Management 2012 Vol 14:3 p 386-401
2011
Shadow routing based control of flexible multi-server pools in overload
Stolyar A L; Tezcan T
Operations Research 2011 Vol 59:6 p 1427-1444
Stability analysis of parallel server systems under longest queue first
Baharian G; Tezcan T
Mathematical Methods of Operations Research 2011 Vol 74:2 p 257-279
State space collapse in many server diffusion limits of parallel server systems
Dai J G ; Tezcan T
Mathematics of Operations Research 2011 Vol 36:2 p 271-320
2010
Control of systems with flexible multi-server polls: A shadow routing approach
Stolyar A L; Tezcan T
Queueing Systems 2010 Vol 66:1 p 1-51
Dynamic control of N-systems with many servers: Asymptotic optimality of a static priority policy in heavy traffic
Tezcan T; Dai J G
Operations Research 2010 Vol 58:1 p 94-110
Many-server diffusion limits for G/Ph/n+GI queues
Dai J G; He S; Tezcan T
Annals of Applied Probability 2010 Vol 20:5 p 1854-1890
Staffing call-centers with uncertain demand forecasts: A chance-constraints approach
Gurvich I; Luedtke J; Tezcan T
Management Science 2010 Vol 56:7 p 1093-1115
2009
Instability of FIFO in a simple queueing system with arbitrarily low loads
Tezcan T
Operations Research Letters 2009 Vol 37:5 p 312-316
2008
Optimal control of distributed parallel server systems under the Halfin and Whitt regime
Tezcan T
Mathematics of Operations Research 2008 Vol 33:1 p 51-90
Optimal control of parallel server systems with many servers in heavy traffic
Tezcan T; Dai J G
Queueing Systems 2008 Vol 59:2 p 95-134
2018
Hospital Readmissions Reduction Program does not provide the right incentives: Issues and remedies
Arifoglu K; Ren H; Tezcan T
Social Sciences Research Network
Teaching portfolio
Our teaching offering is updated annually. Faculty and programme material are subject to change.
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Masters Degrees core courses
A key part of our Masters programmes curriculum.
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Business Analytics
Business Analytics -
Data Science for Business
Data Science for Business PROGRAMMES WITH THIS CORE COURSE
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Data Visualisation and Story Telling
Data Visualisation and Story Telling PROGRAMMES WITH THIS CORE COURSE
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Business Analytics
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Masters Degrees electives
Optional courses providing a deep dive into specialist areas.
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Data Mining for Business Intelligence
This course covers the emerging field of business analytics (BA) or data mining and expands and develops the students' analytical tool kit in analyzing massive data sets. Using case studies and hands-on data sets, students will learn advanced data query techniques, data cleaning and organization, explore various machine learning techniques including supervised and unsupervised classification schemes, text classification, clustering techniques as well as predictive analytics. Students will gain hands-on experience with a variety of software tools, including Tableau and XLMiner. PROGRAMMES WITH THIS ELECTIVE
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Data Mining for Business Intelligence