Anton Ovchinnikov

Anton Ovchinnikov is a Distinguished Professor of Management Analytics at Smith School of Business in Kingston, Canada.

His research interests include, on the theoretical side, behavioral operations, revenue management and environmental sustainability. On the applied side, he studies data-driven applications in business, government and nonprofit sectors.

Anton’s work has been published in the leading academic journals. One of his academic papers was recognized as the finalist of the 2009 Junior Faculty Best Paper Competition held by the Institute of Operations Research and Management Sciences (INFORMS), and his applied work was recognized as the finalist in the 2014 INFORMS Revenue Management and Pricing section Practice Prize. In 2015 Anton received the Paul Kleindorfer Award in Sustainability from the Production and Operations Management Society (POMS) for his work on sustainable operations. His case studies also won several awards, including the 2005 and 2011 INFORMS Case competitions. Anton organized several conferences and is on the editorial review boards of two leading operations management journals; his contributions to the academic community also received multiple service awards.

Prior to joining Smith, Anton taught data and decision analysis courses at the University of Virginia, management science and supply chain management courses at the University of Toronto, as well as in multiple executive educations programs around the world. He holds a specialist degree in economics from his hometown university in Krasnoyarsk, Russia, and a PhD in operations management from the University of Toronto.

Before starting his academic career, he worked in Germany, the Netherlands and Russia in the area of commercializing high-tech developments and co-owned a business in industrial and architectural design.

Education

• University Of Toronto, Joseph L. Rotman School Of Management Toronto, Canada
  Phd In Operations Management, 2001 - 2007
• Erasmus University Rotterdam Rotterdam, The Netherlands
  Higher School For Economics Moscow, Russia
  Diploma In Economics And Business, 1998 – 1999
• Krasnoyarsk State University Krasnoyarsk, Russia
  Department Of Economics, Diploma Of Higher Education In International Business, 1992-1997

Academic Employment

• Smith School Of Business, Queen’s University Kingston, On, Canada
  
  • Professor Of Management Analytics 2021-present
  • Associate Professor Of Management Science And Operations Management 2014-2021
• Insead Fontainebleau, France
  • Visiting Professor Of Decision Sciences 2016-present
• Darden School Of Business, University Of Virginia Charlottesville, Va, Usa
  • Assistant Professor Of Quantitative Analysis Area 2007 - 2014

Academic Area

• Management Analytics
• Operations Management and Technology
• Sustainability

Awards & Honours

• Winner, INFORMS Case Competitions, 2005, 2011, 2021
• (Inaugural) Director of Research, Analytics and AI, Smith School of Business, Queen’s University
• Co-winner, INFORMS UPS George D. Smith Prize, 2020
• Faculty of the Year Award 2020, Smith Master in Management Analytics (MMA), 2020S and 2020W
• Co-PI, 2017-21-24 Canada NSERC CRD. Grant amount: ~CAD$1,800,000
• Winner, Smith School of Business Research Excellence Award, 2018
• PI, Canada SSHRC grants in 2015, 17, 19, totaling ~CAD$220,000
• Scotiabank Scholar of Customer Analytics, 2016-present
• Winner, 2015 POMS Paul Kleindorfer Award in Sustainability
• Finalist, INFORMS Revenue Management and Pricing section Practice Award, 2014
• Finalist, INFORMS Junior Faculty Interest Group’s Best Paper Competition, 2009
• Excellence in Teaching Award, 2005, 2006, Rotman School of Management, University of Toronto

Teaching

Teaching Experience

• INSEAD GEMBA “Data Science (and Machine Learning) for Executives”, 2018-22, Student evaluations: ~ 4.3-4.7/5
• INSEAD MBA “Data Science for Managers”, 2018-22, Student evaluations: 4.1-4.8/5
• INSEAD MBA “Pricing Analytics”, 2017-22, Student evaluation: ~4.2-4.7/5
• Queen’s MBA “Pricing Analytics” (formerly, “Dynamic Pricing and Revenue Management”), 2015, 17-21 Student evaluations: 4.2-4.8/5
• Queen’s MMA “Predictive Modeling”, 2018-21, Student evaluations: ~4.8/5
• Queen’s MMA/GMMA “Operations and Supply Chain Analytics”, 2015-21 Student evaluations: ~4-4.3/5
• INSEAD MBA “Decision Models” (formerly, “Models for Strategic Planning”), 2016-18, Student evaluation: 4.3-4.7/5
• Queen’s BCOMM “Intro to Operations Management”, Fall 2014. Student evaluations: ~4.2/5
• MBA and EMBA Core “Decision Analysis” Darden School of Business: Fall 2006-09, Winter 2007, 08, Summer 2009 -13. Student evaluations: 4.5 - 4.7/5
• MBA Elective “Data Analysis and Optimization”. Darden School of Business: Spring 2010 -13. Student evaluations: 4.5 - 4.8/5
• SYS Elective “Business Decision Analysis”, UVA Accelerated Masters Program in Systems Engineering, Spring 2007-13. Student evaluations: 4.5 - 4.9/5
• MBA Elective “Management Science.” Rotman School of Management: Fall 2004, -05. Student evaluations: 6.3/7

Executive Education

• “Data-driven Decision Making”, INSEAD custom ExecEd, 2018-22, Student evaluations: 4.8-4.95/5
• “Advanced Analytics for Legal Professionals” Queen’s custom ExecEd 2020-22, Evaluations: N/A
• “Customer Analytics”, Queen’s custom ExecEd. 2015-18, Student evaluations: ~4 – 4.9/5
• “Operations and Supply Chain Analytics”, Queen’s custom ExecEd. Fall 2015, 2016 Student evaluations: ~4.5 / 5
• “Business Model Innovation”, 2013-14, KIBS program, Darden. Student evaluations: ~ 4.6 / 5.
• “Supply Chain Management”, 2003 – 2006 at Rotman, 2011-12 at Moscow State University (Russia), in Russian. Student evaluations: ~ 4.5-5/5.
• Faculty leader for the Unilever custom program, Darden, USA, Russia, China, 2008-10

Teaching Materials: Cases and Teaching Notes

2017-22 yr average sales:~17,000

• “Timeshare Exchange Fair” with Scott Sampson and Dmitry Krass, UVA-QA-0709, 0710. [Winner, INFORMS 2005 Case Competition]
• “Crawford Development Co. and Southeast Bank of Texas”, with Elena Loutskina, UVA-QA-0727.
• “c-Energy’s Red Hill plant: Meeting the SO2 challenge”, UVA-QA-0726.
• “Flora (A), (B)”, with Sam Bodily, UVA-QA-0754. [Winner, INFORMS 2011 Case Competition]
• “Bloomex.ca Logistics Optimization”, with Sam Bodily, UVA-QA-0760
• “R&D Project Selection at NorthBancTec Inc,” UVA-QA-0762
• “The IQ Experiment”, with Phil Pfeifer, UVA-QA-0770
• “Nils Baker”, with Phil Pfeifer, UVA-QA-0793
• “Wells Fargo: Solar Energy for Los Angeles Branches” (A) and (B), with Anastasia Hvaleva, UVAQA-800, 801
• “Predicting Customer Retention at QWE Inc.”, UVA-QA-0806
• “Global Warming Revisited” (A) and (B), UVA-QA-0808, 809
• “Chevy Volt: Pricing and Capacity Decisions in Response to Government Incentives for the Electric Vehicle Industry”, with Gal Raz and Allison Elias UVA-OM-1519
• “Outsourcing, Near-sourcing and Supply Chain Flexibility in Apparel Industry” (A) and (B), with Alexander Pyshkov, UVA-QA-0854, 855 + Teaching note with spreadsheets and R code.
• “Retention Modeling at Scholastic Travel Company” (A) and (B), UVA-QA-0864, 865 + Teaching note with R code. The case is also available in Russian.
• “Private Banking Advisers at BCB Edmonton” (A), (B) and (C), UVA- QA-0905, 06, 07 + Teaching note with spreadsheets, Tableau workbooks, and Python code. The case is also available in Russian.
• “Presenting Banking Products” + Teaching note with spreadsheets, Tableau workbooks, and Python code. The case is also available in Russian. With Ilia Tsetlin, INSEAD 6620
• “Analytics and Strategy Vignettes” + Teaching note with spreadsheets, Tableau workbooks, and Python code. The vignettes are also available in Russian. With Ilia Tsetlin, INSEAD 6626
• “Unethical AI: The 2020 International Baccalaureate Grading Scandal”, UVA-QA-0919
• “Integration Planning at SFB” (A), (B) and (C) + Teaching note with spreadsheets, Solver models, and Python code. With Georgina Hall and Piyush Gulati. INSEAD 6684 [Winner, INFORMS 2021 Case Competition]
• “Credit Default Modeling at Taiwan International Bank” with Spyros Zoumpoulis. INSEAD 6772
• “Optimization of Risk Weighted Assets: Algorithms and Insights” with Ilia Tsetlin, Daria Drik and Maria Ryzhikova. INSEAD 6721

Teaching Materials: Online Simulations, Tutorials and Technical Notes

• Technical note: "Modeling Discrete Choice: Categorical Dependent Variables, Logistic Regression and Maximum Likelihood Estimation," UVA-QA-0779. The note is also available in Russian.
• Technical note / Tutorial: "Spreadsheet Modeling Exercises," with Phil Pfeifer, UVA-QA-0775
• Technical note: “Using Binary Variables to Represent Logical Conditions in Optimization Models,” UVA-QA-0786. The note is also available in Russian.
• Online simulation: “Wait-or-buy Game,” UVA-QA-0729; redesign in 2020
• Online simulation: “Opera House Simulation” (revenue management with lifetime value considerations)
• Online tutorial: “Steps in Building a Crystal Ball Decision Model”
• Online simulation: “Autonomous Vehicles Alliance Game”, 2020
• Online simulation: “Markdown Management in Retail”, 2020

Teaching Materials: Work in Progress

• Case: “Victory Farms: Data Science and Machine Learning Opportunities in Agriculture 4.0 in Africa” with Spyros Zoumpoulis
• Teaching note: “Unethical AI: The 2020 International Baccalaureate Grading Scandal” with Stephanie Kelley, in preparation