Dr. Yertai has a Ph.D. in Operations Management focusing on closed-loop supply chains
from Kent State University. Dr. Yertai has hands on experience with analytical and
empirical modeling, optimization, simulation, data mining and forecasting. He also
has vast experience with SQL, SAS, SPSS, Python, Arena, Matlab, Mathematica and has
been published in leading academic journals.
Supply chain and operations management, Analytics, Data science, Machine Learning
applications, Uplift modeling
Kamil Ciftci, Yertai Tanai, George Wilson (2022), Consumer returns processing in a
multi-period setting, International Journal of Advanced Operations Management, 14 (4), 430-455
Kamil Ciftci, Yertai Tanai, George Wilson (2023), An optimal pricing and quality assessment
model for consumer returns in a multi-period closed-loop supply chain, International Journal of Operational Research, in-press
Yertai Tanai (2022), Framework for stochastic returns management in a closed-loop
supply chain, International Journal of Business & Management Studies, 03 (03)
Yertai Tanai, Emmanuel Dechenaux, Eddy B Patuwo and Alfred Guiffrida (2021), Bargaining
in a closed-loop supply chain with consumer returns, International Journal of Operational Research, 41(2), 168-195
Yertai Tanai and Emmanuel Dechenaux (2021), Wholesale price and manufacturer profit
with downstream bargaining for consumer returns, International Journal of Business Performance and Supply Chain Modelling, 12(3), 204-232
Yertai Tanai and Alfred L. Guiffrida (2015), Reducing the Cost of Untimely Supply
Chain Delivery Performance for Asymmetric Laplace Distributed Delivery, Applied Mathematical Modelling, 39(13), 3758-3770
Barry Hettler, Yertai Tanai and Nonna Sorokina and David Booth (2015). Analyst Optimism
in the Automotive Industry: A Post-Bailout Boost and Methodological Insights. Journal of Data Science, 13(2), 473-494
Yertai Tanai and Kuan Pin-Lin, (2013). Mongolian and World Equity Markets: Volatilities
and Correlations. Eurasian Economic Review, 3(2), 136-164
