51³Ô¹ÏÍø

Mehmet Gumus

Title: 
Professor, Operations Management; Academic Director, Master of Management in Analytics (MMA)
Academic title(s): 

Desautels Chair in Supply Chain Management and Business Analytics

Mehmet Gumus
Contact Information
Phone: 
514-398-4003
Email address: 
mehmet.gumus [at] mcgill.ca
Alternate email address: 
gina.ceolin [at] mcgill.ca
Address: 

Bronfman Building []
1001 rue Sherbrooke Ouest
Montreal, Quebec
Canada
H3A 1G5

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Degree(s): 

PhD (2007), Industrial Engineering and Operations Research, University of California, Berkeley, USA
MA Ìý(2007) , Economics,ÌýUniversity of California at Berkeley, USA
MS Ìý(2002), Industrial Engineering and Operations Research,ÌýUniversity of California, Berkeley, USA
Bsc Ìý(1997), Control Systems Engineering and Naval Science, Turkish Naval Academy, Istanbul, Turkey

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Area(s): 
Operations Management
Teaching areas: 

Business Statistics; Operations Management;ÌýTechnology Management; Data, Decisions and Model

Building ID: 
Bronfman
Office: 
532
Biography: 

Dr. Mehmet Gumus is Professor of Operations Management at the Desautels Faculty of Management at 51³Ô¹ÏÍø. He joined 51³Ô¹ÏÍøin 2007 from the University of California at Berkeley where he completed his Ph.D. in Industrial Engineering and Operations Research and M.A. in Economics. In his research, Dr. Mehmet Gumus explores the impact of customer behavior and information asymmetry on supply chain management, dynamic pricing, and risk management. His papers are accepted for publication in Management Science, Operations Research, Manufacturing and Service Operations Management, Marketing Science and Production and Operations Management.

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Courses: 

MGCR 614. Management Statistics.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.

Description

Use of up-to-date statistical analysis to extract information from a set of data, including the application and interpretation of results rather than on formal statistical theory; the challenge will be in the selection of the appropriate statistical methodology to address the problem and the limitations. The social aspects of statistical analysis, the ethical implications of data collection, privacy concerns, and the potential impact of statistical results on different societal groups.
  • Restriction: Open only to M.B.A. students.

Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.

MGCR 617. Operations Management.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.

Description

Introduction to the fundamental decisions and trade-offs associated with the management of a firm's production and service activities. A study of how production and service systems can be effectively designed, utilized and managed in order for them to compete successfully on the basis of different parameters. Analyzing and optimizing production and service processes to minimize waste, reduce carbon emissions to achieve net-zero impact, and enhance resource efficiency. Exploring emerging trends and innovative approaches in sustainable operations, including the use of digital technologies, data analytics to ensure competitiveness while contributing to a more socially responsible business environment.
  • Section 033 (09-MAY-2003/14-JUN-2003)
  • Change in description awaiting University approval.
  • Change in description awaiting University approval.
  • Restriction: Open only to M.B.A. students

Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.

MGSC 660. Mathematical and Statistical Foundations for Analytics.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
View offerings for in Visual Schedule Builder.

Description

This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes’ rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.
  • **Web ADD only
  • **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
  • **No web drop allowed.
  • **Web withdrawal not applicable.
  • **Web ADD only

Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.

MGSC 608. Data Decisions and Models.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.

Description

The goal is to evaluate quantitative information and to make sound decisions in complex situations. The course provides a foundation for various models of uncertainty, techniques for interpreting data and many decision making approaches in both deterministic and stochastic environments.
  • This course will be held on April 17, 18, 19, 24, 25 & 26, and will have the final exam on May 30, 2015.
  • Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the second lecture day and withdrawal is the third lecture day.

Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.

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Areas of expertise: 

Context

Supply Chain Risk Management, Operations/Marketing Interface, Consumer Behavior Models in Operations Management, Asymmetric Information, Dynamic Pricing and Inventory Control, Supply Chain Contracting.

Methodology

Game Theory, Signaling Games, Mechanism Design, and Dynamic Programming.
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Group: 
Faculty
Tenured & Tenure Track
Research areas: 
Consumer Behaviour
Information Environment
Revenue Management
Risk Management
Supply Chain Management
Transportation/Logistics
Selected publications: 

Papers in Peer-Reviewed Journals

[J25] SenaÌýOnen Oz, Mehmet Gumus, and Wei Qi.ÌýÌý,ÌýÌýForthcoming,ÌýProduction and Operations Management,Ìý2024.
[J24] Senay Solak, ZhuoxinÌýLi, Mehmet Gumus, and Yueran Zhou.ÌýÌý,ÌýÌýVol.Ìý273,ÌýJuly 2024, 109261,ÌýInternational Journal of Production Economics,Ìý2024.
[J23] Long Gao, Dawei Jian, Mehmet Gumus, and Barry Mishra.ÌýÌý,ÌýÌýForthcoming,ÌýManagement Science,Ìý2024.
[J22] Recep Yusuf Bekci, Mehmet Gumus, and Sentao Miao.ÌýÌý,ÌýÌýVol. 71 (6), pp. 2092-2110,ÌýOperations Research,Ìý2023.
[J21] Mohammad E. Nikoofal, Morteza Pourakbar, and Mehmet Gumus.ÌýÌý,ÌýÌýVol. 32 (7), pp. 2341-2361,ÌýProduction and Operations Management,Ìý2023.
[J20] Elcin Ergin, Mehmet Gumus, and Nathan Yang.ÌýÌý,ÌýÌýVol 31 (2), pp. 607-621,ÌýProduction and Operations Management,Ìý2022.
[J19] Necati Ertekin, Mehmet Gumus, and Mohammad E. Nikoofal.ÌýÌý,ÌýÌýVol. 68 (8), pp. 5557-6354,ÌýManagement Science,Ìý2022.
[J18] Mohammad E. Nikoofal and Mehmet Gumus.ÌýÌý,ÌýÌýVol. 285 (3), pp. 902-915,ÌýEuropean Journal of Operational Research,Ìý2020.
[J17] Hedayat Alibeiki and ÌýMehmet Gumus.ÌýÌý,ÌýÌýVol. 226 (8),ÌýInternational Journal of Production Economics,Ìý2020.
[J16] Senay Solak, Armagan Bayram,ÌýMehmet Gumus, and Yueran Zhuo.ÌýÌý,ÌýÌýVol 67 (4), pp. 905-1208,ÌýOperations Research,Ìý2019.
[J15] Mohammad E. Nikoofal andÌýMehmet Gumus.ÌýÌý,ÌýÌýVol. 28 (3), pp. 588-609,ÌýProduction and Operations Management,Ìý2019.
[J14]

Manaf Zargoush, Mehmet Gumus, Vedat Verter and Stella Daskalopoulou.ÌýÌý, Vol. 27 (12), pp. 2291-2312,ÌýProduction and Operations Management,Ìý2018.

[J13]

Mohammad E. Nikoofal, andÌýMehmet Gumus.ÌýÌý, Vol. 20(3), pp. 498-513,ÌýManufacturing & Service Operations Management,Ìý2018.

[J12]

Xiaofeng Nie, Tamer Boyaci,ÌýMehmet Gumus, Saibal Ray and Dan Zhang.Ìý, Vol 257(1-2) pp. 121-165,ÌýAnnals of Operations Research. 2017.

[J11] Mehmet Gumus, Phil Kaminsky, and Sameer Mathur.Ìý, Vol 54(7),ÌýInternational Journal of Production Research, 2016.
[J10] Xiao Huang, Tamer Boyaci,ÌýMehmet Gumus, Saibal Ray, and Dan Zhang.Ìý, Vol 62(5) pp. 1297-1315,ÌýManagement Science. 2015.
[J9] Mohammad E. Nikoofal andÌýMehmet Gumus.Ìý, Vol 47(6) pp. 533-555,ÌýIIE Transactions, 2015.
[J8] Mehmet Gumus.Ìý, Vol 23(10) pp. 1732-1747,ÌýProduction and Operations Management, 2014.
[J7] Mehmet Gumus, Saibal Ray, and Shuya Yin.Ìý, Vol. 32(4) pp. 622-643,ÌýMarketing Science,Ìý2013.
[J6] Mehmet Gumus,ÌýShanling Li, Wonseok Oh, and Saibal Ray.Ìý,ÌýVol. 22(4), pp.758-776,ÌýProduction and Operations Management,Ìý2013.
[J5]

Mehmet Gumus, Saibal Ray, and Haresh Gurnani.Ìý,ÌýVol. 58 (9) pp. 1694-1714,ÌýManagement Science, 2012.

[J4] Haresh Gurnani,ÌýMehmet Gumus, Saibal Ray, and Tridip Ray.Ìý,Vol. 29(1), pp. 1240006-1/31,ÌýAsia-Pacific Journal of Operations Research, 2012.
[J3] Weifen Zhuang,ÌýMehmet Gumus,Ìýand Dan Zhang.Ìý,ÌýVol. 63, 1213-1227,ÌýJournal of Operational Research Society,Ìý2012.
[J2] Hyun-soo Ahn,ÌýMehmet Gumus, and Phil Kaminsky.Ìý,ÌýVol. 11(4), pp. 613-629,ÌýManufacturing & Service Operations Management,Ìý2009.
[J1] Hyun-soo Ahn,ÌýMehmet Gumus, and Phil Kaminsky.Ìý,ÌýVol. 55(6), pp. 1039-1057,ÌýOperations Research,Ìý2007.

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Refereed Conference Proceedings

[C9] Mohammad Nikoofal, andÌýMehmet Gumus.ÌýThe Value of Audit in Managing Supplier’s Process ImprovementÌýM&SOM 2013ÌýConference Proceedings, July 28-30 2013 at INSEAD, Europe Campus, France.
[C8] Mohammad Nikoofal, andÌýMehmet Gumus.ÌýHow To (and How Not To) Manage Supplier’s Process Improvement: Delegation, Incentives, or Audit.ÌýM&SOM 2012ÌýConference Proceedings, June 17-18, 2012, Columbia University, New York City, NY.
[C7]ÌýÌýÌýÌýÌýÌýÌýÌý Xiao Huang, Tamer Boyaci,ÌýMehmet Gumus, Saibal Ray and Dan Zhang. Supplier Alliances under Default Risk,ÌýM&SOM 2012Conference Proceedings, June 17-18, 2012, Columbia University, New York City, NY.
[C6]ÌýÌýÌýÌýÌýÌýÌýÌý Mehmet Gumus, Saibal Ray and Haresh Gurnani. Supply Side Story: Risks, Guarantees, and Information Asymmetry,ÌýM&SOM 2011ÌýConference Proceedings, June 26-28, 2011, University of Michigan, Ann Arbor, MI.
[C5]ÌýÌýÌýÌýÌýÌýÌýÌý Mehmet Gumus, Saibal Ray and Shuya Yin. Channel Returns Policies for Durable Products,ÌýM&SOM 2011ÌýConference Proceedings, June 26-28, 2011, University of Michigan, Ann Arbor, MI.
[C4] Mehmet Gumus. With or Without Forecast Sharing: Does It Really Cause Collusion?,ÌýM&SOM 2011ÌýConference Proceedings, June 26-28, 2011, University of Michigan, Ann Arbor, MI.
[C3] Mehmet Gumus. Multi-product Pricing and Inventory Ordering Strategies,ÌýM&SOM 2009ÌýConference Proceedings, June 28-30, 2009, MIT Sloan School of Management, Cambridge, MA.
[C2] Mehmet Gumus, Shanling Li, Wonseok Oh, and Saibal Ray. Shipping Fees or Shipping Free? Impact of Product and Retailer Characteristics on Shipping Charges in E-Commerce,ÌýM&SOM 2009ÌýConference Proceedings, June 28-30, 2009, MIT Sloan School of Management, Cambridge, MA.
[C1] Mehmet Gumus, Phil Kaminsky, Erik Tiemroth and Mehmet Ayik. A Multi-stage Decomposition Heuristic for the Container Stowage Problem,ÌýM&SOM 2008ÌýConference Proceedings, June 5-6, 2008, Robert H. Smith School of Business, University of Maryland, College Park, MD.

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Awards, honours, and fellowships: 

Awards

2024-2029: Desautels Chair in Supply Chain Management and Business Analytics

2022-2024: Bensadoun Faculty Scholar Award

2019-2022: Bensadoun Faculty Scholar Award

2017-2019: Bensadoun Faculty Scholar Award

2015:ÌýThe Manufacturing & Service Operations Management (M&SOM) iFORM Best Paper Award.

2015:ÌýNominated for The Principal’s Prize for Outstanding Emerging Researchers by Desautels Faculty of Management

2015-2017 MDIIM Faculty Fellow Award

2014-2017: Desautels Faculty Scholar Award

2012: Management Science Meritorious Service Award

Grants

[G1] Natural Sciences and Engineering Research Council (NSERC) Discovery Grant.Role:ÌýPrincipal InvestigatorTitle:ÌýImpact of customer behavior on price and inventory management.Length:Ìý2009 – 2014.Total Amount:Ìý$85,000
[G2] Natural Sciences and Engineering Research Council (NSERC) Early Career Supplement Grant.Role:ÌýPrincipal Investigator.Title: Impact of customer behavior on price and inventory management.Length: 2011 – 2014.Total Amount:Ìý$15,000
[G3] Fonds Québécois de la Recherche sur la Société et la Culture (FQRSC) New Researcher GrantRole:ÌýPrincipal Investigator.Title: Integrated Revenue Management and Transportation Planning.Length: 2009 – 2012.Total Amount:Ìý$39,600
[G4]

Social Sciences and Humanities Research Council (SSHRC) Strategic Group Grant. Co-applicant. Title: Operational Risk Management in Supply Chains. Length: 2008-2011. Total AMount: $129,000

[G5]

Natural Sciences and Engineering Research Council (NSERC) Discovery Grant,ÌýPrincipal Investigator,ÌýTitle:ÌýMechanism Design for s Sustainable Supply Chain Management,ÌýLength:Ìý2014 – 2019.Total Amount:Ìý$95,000

[G6]

Social Sciences and Humanities Research Council (SSHRC) Partnership Development Grant. Co-applicant. Title:A convergent innovation coalition for sustainable prosperity: development work for agri-food systems. Length: 2014-2017. Total AMount:Ìý$197,000

[G7] Natural Sciences and Engineering Research Council (NSERC) Discovery Grant.Role:ÌýPrincipal InvestigatorÌýTitle:ÌýDesign and Analysis of Data-driven Pricing and Supply Chain Strategies for Online Multi-sided Platforms.ÌýLength:Ìý2019 – 2024.Total Amount:Ìý$215,000
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