03-009-D+_ulku_gurlerÜlkü Gürler
Professor, Dean

Specialization: Statistics, Applied Statistics
Research interests: Stochastic inventory/maintenance models, Bayesian applications to inventory, nonparametric estimation, reliability and survival analysis. Analysis of censored and truncated observations.

Ülkü Gürler has been serving as the Acting 2016 and as Dean since July 2018 of the Faculty of Business Administration (FBA). She is a also a Professor at the Industrial Engineering Department of Bilkent University.

Professor Gürler has received her PhD  and MS degrees in Statistics from the Wharton School of University of Pennsylvania, and her BS in Applied Statistics from Middle East Technical University in Ankara, Turkey.

As the Dean of the FBA Professor Gürler aims to make the FBA the best business school in the country and a reputable one internationally both in research and education in parallel to the mission of the University and the FBA. Business, alumni and stakeholder relations are priorities for Dean Gürler and  she considers them as one of the building blocks of a good business school, together with the student body, faculty members and supporting professionals.

Professor Gürler has been at University of California, Davis and Catholique University of Leuvain  as visiting researchers. Her research interests include stochastic inventory and maintenance models, Bayesian applications to inventory modeling, analysis of perishable inventories, relieability and survival analysis.  Her papers have appeared in journals  including Journal of American Statistical Association, Operations Research, Production and Operations Management, Production and Operations Management,  IIE Transactions, Journal of Multivariate Analysis and Biometrika.

Selected Publications :

An exact analysis on age-based control policies for perishable inventories. IISE Transactions, 2020, Poormoaied, S]; Gurler, L; Berk, E, DOI: 10.1080/24725854.2020.1785649

R. Kian, E.Berk, U. Gürler, H. Reazadeh & B. Yazdani, (2020).”The effect of economies-of-scale on the performance of lot-sizing heuristics in rolling horizon basis”, International Journal of Production Research, DOI: 10.1080/00207543.2020.1730464. 

E. Berk, U. Gurler, S. Poormoaied, (2020) .”On the (Q,r) Policy for Perishables with Positive Lead Times and Multiple Outstanding Orders”, Annals of Operations Research, 284, 81-98 

R. Kiaz, E. Berk, U. Gurler, (2019),”Minimal conic quadratic reformulations and an optimization model”, Operations Research Letters, 47, 489-493. 

U. Gurler, D. Yenigun, M. Caglar, E. Berk, (2016).”On the Modeling of CO2 EUA and CER Prices of EU-ETS for the 2008-2012 Period”, Applied Stochastic Models in Business and Industry .

Kian, R., Ü. Gürler and E. Berk.(2014).“The dynamic lot sizing problem with convex economic production costs and setups,” International Journal of Production Economics, vol. 155, 361-379.

Saleh, Y., Ü. Gürler and E. Berk. (2011). “Centralized and decentralized management of groundwater with multiple users,” European Journal of Operational Research, vol. 215, 244-256.

 Yıldırım, G., Ü.Gürler and E. Berk.“ (2009). On pricing of perishable assets with menu costs”, International Journal of Production Economics, vol. 121, 678-699. 

 Ç. Pinçe, Ü. Gürler and E. Berk. (2008). “A replenishment-disposal policy for an inventory system with inflows,” European Journal of Operational Research, vol. 190,  421 442.

Berk, E. and Ü. Gürler.(2008). “The (Q,r) inventory model for perishables with positive leadtimes and non-negligible ordering costs,” Operations Research, vol. 56,  1238-1246. 

Berk, E., Ü. Gürler and R. Levine,( 2007). “Bayesian demand updating in the lost sales newsvendor problem: A two moment approximation,” European Journal of Operational Research, vol.182, 256-281. 

Yüksel-Özkaya, B., Ü.Gürler and E. Berk.(2006). “The stochastic joint replenishment problem: Models and insights,” Naval Research Logistics, vol. 53,  525-546. 

Tekin, E., Ü. Gürler and E. Berk. (2001,)”Age-based vs. stock level control policies for a perishable inventory system,” European Journal of Operational Research, vol. 134,  309-32.