Peng Sun | Scholars@Duke

Peng Sun
J.B. Fuqua Distinguished Professor of Business Administration

Peng Sun is a Professor in the Decision Sciences area at the Fuqua School of Business, Duke University. He researches mathematical theories and models for resource allocation decisions under uncertainty, and incentive issues in dynamic environments. His work spans a range of applications areas, from operations management, economics, finance, marketing, to health care and sustainability. He serves an Associate Editor at Operations Research, and an Associate Editor at Management Science, two leading academic journals of the profession of Operations Research and Management Science. At the Fuqua School, Professor Sun has taught MBA core course Decision Models and elective course Strategic Modeling and Business Dynamics, and PhD course Dynamic Programming and Optimal Control.

Current Appointments & Affiliations

J.B. Fuqua Distinguished Professor of Business Administration, Fuqua School of Business, Duke University 2019
Professor of Business Administration, Fuqua School of Business, Duke University 2015
Director of Graduate Studies, Fuqua School of Business, Duke University 2021

Contact Information

100 Fuqua Drive, Fuqua School of Business, Durham, NC 27708
Box 90120, Durham, NC 27708-0120
peng.sun@duke.edu (919) 660-7777
Fuqua Faculty Profile
Professional Page

Background
Education, Training, & Certifications
- Ph.D., Massachusetts Institute of Technology 2003
- B.S.E., Tsinghua University (China) 1998
Previous Appointments & Affiliations
- Associate Professor of Business Administration in the Fuqua School of Business, Fuqua School of Business, Duke University 2010 - 2015
- Associate Professor of Business Administration, Fuqua School of Business, Duke University 2008 - 2010
- Assistant Professor of Business Administration, Fuqua School of Business, Duke University 2003 - 2008
Recognition
In the News
- MAY 7, 2019
  
  Duke Adds 21 Faculty to Distinguished Faculty Rank
- APR 24, 2018 Fuqua School of Business
  
  How to Make Firms Disclose Environmental Violations: Pay Them
Research
Selected Grants
- Applied Mechanism Design awarded by National Science Foundation 2009 - 2011
External Relationships
- Hong Kong University of Science and Technology
- Hunan University
- The Hong Kong University Grant Committee
- Tsinghua University
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Lin, C. A., K. Shang, and P. Sun. “Wait Time–Based Pricing for Queues with Customer-Chosen Service Times.” Management Science 69, no. 4 (April 1, 2023): 2127–46. https://doi.org/10.1287/mnsc.2022.4474.
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  - Alizamir, S., F. De Véricourt, and P. Sun. “Search Under Accumulated Pressure.” Operations Research 70, no. 3 (May 1, 2022): 1393–1409. https://doi.org/10.1287/OPRE.2019.1880.
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  - Cao, P., F. Tian, and P. Sun. “Comment on “Optimal Contract to Induce Continued Effort”.” Management Science 68, no. 1 (January 1, 2022): 796–808. https://doi.org/10.1287/mnsc.2020.3927.
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  - Tian, F., P. Sun, and I. Duenyas. “Optimal contract for machine repair and maintenance.” Operations Research 69, no. 3 (May 1, 2021): 916–49. https://doi.org/10.1287/OPRE.2020.2018.
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  - Chen, M., P. Sun, and Y. Xiao. “Optimal monitoring schedule in dynamic contracts.” Operations Research 68, no. 5 (September 1, 2020): 1285–1314. https://doi.org/10.1287/opre.2019.1968.
    Full Text Open Access Copy
  - Balseiro, S. R., H. Gurkan, and P. Sun. “Multiagent mechanism design without money.” Operations Research 67, no. 5 (January 1, 2019): 1417–36. https://doi.org/10.1287/opre.2018.1820.
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  - Sun, P., and F. Tian. “Optimal contract to induce continued effort.” Management Science 64, no. 9 (September 1, 2018): 4193–4217. https://doi.org/10.1287/mnsc.2017.2826.
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  - Wang, S., P. Sun, and F. De Véricourt. “Inducing environmental disclosures: A dynamic mechanism design approach.” Operations Research 64, no. 2 (March 1, 2016): 371–89. https://doi.org/10.1287/opre.2016.1476.
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  - Alizamir, S., F. De Véricourt, and P. Sun. “Efficient feed-in-tariff policies for renewable energy technologies.” Operations Research 64, no. 1 (January 1, 2016): 52–66. https://doi.org/10.1287/opre.2015.1460.
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  - Yang, L., F. De Véricourt, and P. Sun. “Time-based competition with benchmark effects.” Manufacturing and Service Operations Management 16, no. 1 (December 1, 2014): 119–32. https://doi.org/10.1287/msom.2013.0462.
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  - Johnson, K., D. Simchi-Levi, and P. Sun. “Analyzing scrip systems.” Operations Research 62, no. 3 (January 1, 2014): 524–34. https://doi.org/10.1287/opre.2014.1260.
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  - Alizamir, S., F. De Véricourt, and P. Sun. “Diagnostic accuracy under congestion.” Management Science 59, no. 1 (January 1, 2013): 157–71. https://doi.org/10.1287/mnsc.1120.1576.
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  - Chen, X., and P. Sun. “Optimal structural policies for ambiguity and risk averse inventory and pricing models.” Siam Journal on Control and Optimization 50, no. 1 (March 26, 2012): 133–46. https://doi.org/10.1137/100791488.
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  - Lopomo, G., L. M. Marx, and P. Sun. “Bidder collusion at first-price auctions.” Review of Economic Design 15, no. 3 (September 1, 2011): 177–211. https://doi.org/10.1007/s10058-010-0104-9.
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  - Brown, D. B., J. E. Smith, and P. Sun. “Information relaxations and duality in stochastic dynamic programs.” Operations Research 58, no. 4 PART 1 (July 1, 2010): 785–801. https://doi.org/10.1287/opre.1090.0796.
    Full Text Open Access Copy
  - Sun, P., L. Yang, and F. De Véricourt. “Selfish drug allocation for containing an international influenza pandemic at the onset.” Operations Research 57, no. 6 (November 1, 2009): 1320–32. https://doi.org/10.1287/opre.1090.0762.
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  - Wang, Shouqiang, Francis de Véricourt, and Peng Sun. “Decentralized resource allocation to control an epidemic: a game theoretic approach.” Mathematical Biosciences 222, no. 1 (November 2009): 1–12. https://doi.org/10.1016/j.mbs.2009.08.002.
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  - Fard, M. M., J. Pineau, and P. Sun. “A variance analysis for POMDP policy evaluation.” Proceedings of the National Conference on Artificial Intelligence 2 (December 24, 2008): 1056–61.
  - Chen, X., M. Sim, P. Sun, and J. Zhang. “A linear decision-based approximation approach to stochastic programming.” Operations Research 56, no. 2 (March 1, 2008): 344–57. https://doi.org/10.1287/opre.1070.0457.
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  - Ahipasaoglu, S. D., P. Sun, and M. J. Todd. “Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids.” Optimization Methods and Software 23, no. 1 (February 1, 2008): 5–19. https://doi.org/10.1080/10556780701589669.
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  - Chen, X., M. Sim, and P. Sun. “A robust optimization perspective on stochastic programming.” Operations Research 55, no. 6 (November 1, 2007): 1058–71. https://doi.org/10.1287/opre.1070.0441.
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  - Chen, X., M. Sim, D. Simchi-Levi, and P. Sun. “Risk aversion in inventory management.” Operations Research 55, no. 5 (September 1, 2007): 828–42. https://doi.org/10.1287/opre.1070.0429.
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  - Mannor, S., D. Simester, P. Sun, and J. N. Tsitsiklis. “Bias and variance approximation in value function estimates.” Management Science 53, no. 2 (February 1, 2007): 308–22. https://doi.org/10.1287/mnsc.1060.0614.
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  - Simester, D. I., P. Sun, and J. N. Tsitsiklis. “Dynamic catalog mailing policies.” Management Science 52, no. 5 (May 1, 2006): 683–96. https://doi.org/10.1287/mnsc.1050.0504.
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  - Mannor, S., D. Simester, P. Sun, and J. N. Tsitsiklis. “Bias and variance in value function estimation.” Proceedings, Twenty First International Conference on Machine Learning, Icml 2004, December 1, 2004, 568–75.
  - Sun, P., and R. M. Freund. “Computation of minimum-volume covering ellipsoids.” Operations Research 52, no. 5 (September 1, 2004): 690–706. https://doi.org/10.1287/opre.1040.0115.
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Teaching & Mentoring
Recent Courses
- DECISION 517K: Spreadsheet Modeling and Decision Analysis 2023
- DECISION 611G: Decision Models 2023
- DECISION 611W: Decision Models 2023
- DECISION 517K: Spreadsheet Modeling and Decision Analysis 2022
- DECISION 611G: Decision Models 2022
- QM 611QB: Decision Models 2022
- QM 611QH: Decision Models 2022
- BA 999: Directed Research 2021
- DECISION 611G: Decision Models 2021
- DECISION 611W: Decision Models 2021
- QM 611QB: Decision Models 2021
- QM 611QH: Decision Models 2021

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Education, Training, & Certifications

Previous Appointments & Affiliations

In the News

Selected Grants

External Relationships

Selected Publications

Academic Articles

Recent Courses