Armağan Özbilge
Assistant Professor
Related information
Email: ozbilgea@dal.ca
Phone: 902-494-1821
Fax: 902-494-1107
Mailing Address:
- Sustainable operations
- Perishable inventory management
- Omnichannel retailing
- Charitable giving
- Food donations
- Food loss and waste
Education
- BA/BSc Hacettepe University, Turkiye
- MA/MSc Middle East Technical University & Hacettepe University, Turkiye
- PhD McMaster University
- PDF McMaster University
Research interests
Dr. Özbilge’s main research focuses on sustainable operations with a particular interest on charitable giving, food waste, hunger, and circular supply chains. His work is interdisciplinary and collaborative with local, provincial, and federal charities.
Selected publications
- Optimal pricing and donation policy for fresh goods. Özbilge, A., Hassini, E., & Parlar, M. European Journal of Operational Research. In-press (2023) DOI:10.1016/j.ejor.2023.06.020
- Perils and merits of cross-channel returns. Özbilge, A., Hassini, E., & Parlar, M. IEEE Transactions on Engineering Management, Forthcoming (2023) DOI:10.1109/TEM.2023.3247340
- A review of bricks-and-clicks dual-channels literature: trends and opportunities. Ozbilge, A., Hassini, E., & Parlar, M. INFOR: Information Systems and Operational Research, 60(4), 436-472 (2022) DOI:10.1080/03155986.2022.2066404
- Elective course assignment problem: a revenue management based approach. Ozbilge, A., Ulucan, A., & Atici, K.B. INFOR: Information Systems and Operational Research, 59(1), 145-168 (2021) DOI:10.1080/03155986.2020.1796064
Selected awards and honours
- 2018 Norm Archer Endowed Prize, DeGroote School of Business, McMaster University
- 2018–2019 Ontario Graduate Scholarship (Pioneer Petroleums sponsored one-third of the award due to research excellence in sustainability)
- 2018 3-Minute Thesis Competition, winner of the Faculty of Business, McMaster University
- 2016–2021 McMaster University Research Scholarship
- 2016–2021 McMaster University Graduate Scholarship
Current teaching
- COMM 1503 Introduction to Quantitative Decision Making