Ozden Cakici Assistant Professor Information Technology & Analytics
- Degrees
- B.S. in Industrial Engineering and Minor in Mechanical Engineering (Production), Middle East Technical University, Ankara, TURKEY; M.B.A., Bogazici University, Istanbul, TURKEY; M.S. in Management Science and Ph.D. in Operations Management, University of Rochester, New York, USA.
- Languages Spoken
- Turkish, English, Intermediate German
- Bio
- Professor Ozden Engin Cakici studies operations management with a focus on healthcare services, supply chain management and economics of information technology. His research methodology includes stochastic modeling, optimization, inventory theory, business analytics, applied queuing theory and applied game theory. His healthcare research focuses on healthcare system response to demand management and economic incentives in healthcare as well as inventory policy and information technology choices for managing medical item inventories. His supply chain research focuses on developing exact and approximate inventory policies as well as pricing, procurement and distribution of goods. His research has been published in Manufacturing and Service Operations Management, Decision Sciences, Decision Support Systems, Operations Research Letter, Healthcare Management, Policy and Innovation and HICSS. Professor Cakici teaches undergraduate level operations management and graduate level statistics courses. He received the prestigious Kogod Faculty Award for Outstanding Teaching three times and Kogod Faculty Award for Outstanding Service twice from Kogod School of Business as well as the Dean’s Honor Roll for Outstanding Teaching from Carol G. Simon Graduate School of Business. Professor Cakici received his doctorate from Carol G. Simon Graduate School of Business at University of Rochester in 2012.
- For the Media
- To request an interview for a news story, call AU Communications at 202-885-5950 or submit a request.
Teaching
Fall 2024
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ITEC-355 Operations Management
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ITEC-355 Operations Management
Spring 2025
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KSB-121 Data Analysis in Practice