Publications
Refereed Journal Articles
Taiwo, E. S., Zaerpour, F., Menezes, M. B., & Sun, Z. (2024). Complexity measure: A new index for managing patient flow in hospital emergency departments. International Journal of Operations & Production Management, 44(4), 768–789. doi.org/10.1108/IJOPM-12-2022-0792
Taiwo, E. S., Zaerpour, F., Soltani, N., & Menezes, M. B. (2023). Understanding physician efficiency in emergency departments through the lens of patient-induced complexity. The American Journal of Emergency Medicine, 73, 230–231. doi.org/10.1016/j.ajem.2023.07.040
Taiwo, E. S., Savin, S., Chen, F. Y., & Chin, K. S. (2023). Patient-controlled use of non-physician providers: Appointment scheduling in mixed-provider settings. Productions and Operations Management, 32(8), 2656–2673. https://doi.org/10.1111/poms.14000
Taiwo, E. S., Chen, F. Y., & Chin, K. S. (2020). Outpatient appointment scheduling with walk-ins in fixed arrival periods. IISE Transactions on Healthcare Systems Engineering, 10(4), 261–276. https://doi.org/10.1080/24725579.2020.1801909
Liu, X., Chen, Y., Luo, L., Zhu, T., Shen, W., & Taiwo, E. S. (2019). Inpatient bed allocation policy under uncertain capacity. Journal of Management Science and Engineering, 4(4), 228–251. https://doi.org/10.1016/j.jmse.2020.01.003
Taiwo, E. S., Adinya, I., & Edeki, S. O. (2019). Optimal evacuation decision policies for benue flood disaster in nigeria. Journal of Physics: Conference Series, 1299(1), 012137. https://iopscience.iop.org/article/10.1088/1742-6596/1299/1/012137/meta
Taiwo, E. S., Kamga, R. D., Fotso, S., & Fono, L. A. (2018). Difference and symmetric difference for intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, 24(4), 113–140. https://doi.org/10.7546/nifs.2018.24.4.113-140
Manuscripts Under Review & Working Papers
Taiwo, E. S., Savin, S., Chen, F. Y., & Chin, K. S. (2023). To carve out or not: Managing the routine and same-day appointments for outpatient clinics. Submitted. https://ssrn.com/abstract=3884741
Otoosakyi, D., Adinya, I., & Taiwo, E. S. (2023). Flood prediction in africa: A machine learning approach. Submitted. http://dx.doi.org/10.13140/RG.2.2.25882.72642/1