Items where City Author is "Izady, Navid"
Article
Zamani, H., Parvaresh, F., Izady, N. 
ORCID: 0000-0002-7279-0887 & Zanjirani Farahani, R. (2024).
Admission, discharge, and transfer control in patient flow logistics: Overview and future research.
Transportation Research Part E: Logistics and Transportation Review, 191,
article number 103722.
doi: 10.1016/j.tre.2024.103722
Izady, N. ORCID: 0000-0002-7279-0887, Arabzadeh, B., Sands, N. & Adams, J. (2024).
Reconfiguration of Inpatient Services to Reduce Bed Pressure in Hospitals.
European Journal of Operational Research, 316(2),
pp. 680-693.
doi: 10.1016/j.ejor.2024.02.008
Malaki, S. ORCID: 0000-0002-2684-1364, Izady, N. & de Menezes, L. M. ORCID: 0000-0001-9155-5850 (2023).
A Framework for Optimal Recruitment of Temporary and Permanent Healthcare Workers in Highly Uncertain Environments.
European Journal of Operational Research, 308(2),
pp. 768-781.
doi: 10.1016/j.ejor.2022.12.008
Izady, N. & Mohamed, I. (2019). A Clustered Overflow Configuration of Inpatient Beds in Hospitals. Manufacturing and Service Operations Management, 23(1), pp. 139-154. doi: 10.1287/msom.2019.0820
Izady, N. (2019). An Integrated Approach to Demand and Capacity Planning in Outpatient Clinics. European Journal of Operational Research, 279(2), pp. 645-656. doi: 10.1016/j.ejor.2019.06.001
Izady, N. (2015). Appointment Capacity Planning in Specialty Clinics: A Queueing Approach. Operations Research, 63(4), pp. 916-930. doi: 10.1287/opre.2015.1391
Izady, N. & Worthington, D. J. (2012). Setting staffing requirements for time dependent queueing networks: The case of accident and emergency departments.. European Journal of Operational Research, 219(3), pp. 531-540. doi: 10.1016/j.ejor.2011.10.040
Izady, N. & Worthington, D. J. (2011). Approximate analysis of non-stationary loss queues and networks of loss queues with general service time distributions. European Journal of Operational Research, 213(3), pp. 498-508. doi: 10.1016/j.ejor.2011.03.029
Working Paper
Izady, N. (2020). Pooling of Samples to Increase Testing Capacity for COVID-19. City, University of London.