Farhood Rismanchian

Title: Post-Doctoral Fellow

Degrees:

Ph.D., Industrial Systems Engineering, Yonsei University, Seoul, South Korea (2017)

M.S., Industrial Engineering, Eastern Mediterranean University, Famagusta, Cyprus (2013)

B.S., Industrial Engineering, Azad University, Isfahan, Iran (2010)

Biography:

Farhood Rismanchian received his B.S. and M.S. degrees in Industrial Engineering from Azad University (Iran) in 2010 and Eastern Mediterranean University (Cyprus) in 2013, respectively. He carried out his Ph.D. research on emergency department patient flow optimization in Seoul's Severance Hospital and received his Ph.D. degree in Industrial Systems Engineering from Yonsei University (South Korea) in 2017. He currently works under the supervision of Prof. Farzad Zaerpour with the Department of Business and Administration, the University of Winnipeg. His current research focuses on the development of operations research and machine learning methodologies, and their implementation in intelligent decision support systems to improve the operational efficiency of healthcare delivery. Prior to his current role, he was collaborating with Isfahan University of Medical Sciences (Iran) as a Research Fellow on the system engineering solutions for successful and sustainable implementation of optimized telehealth services. He also served as a faculty member in the Department of Industrial Engineering at Firouzabad Institute of Higher Education (Iran).

Affiliations:

Park, S., Rismanchian, F., Lee, Y. (2017). Optimize two-tiered ambulance dispatching and redeployment policy with classification errors in patient severities. International Network Optimization Conference 2017 (INOC 2017). Lisbon, Portugal.

Rismanchian, F., Lee, Y. (2017). A modelling approach for performance analysis of medical treatment processes in healthcare systems. Healthcare Systems Process Improvement Conference 2017 (HSPI 2017). Florida, USA.

Rismanchian, F., Park, S., Choi, Y., Lee, Y. (2017). A mixed integer programming model for optimizing the layout of an emergency department (Poster presentation). Healthcare Systems Process Improvement Conference 2017 (HSPI 2017). Florida, USA.

Rismanchian, F., Lee, Y. (2016). The effect of repair and failure distributions on the instantaneous availability of repairable systems. The 18th International Conference on Industrial Engineering (IJIE 2016). Seoul, South Korea.

Rismanchian, F., Lee, Y. (2016). Application of process mining to the optimization of facility design in hospital units. The Eleventh International Multi-Conference on Computing in the Global Information Technology (ICCGI 2016). Barcelona, Spain.

Baek, J., Rismanchian, F., Lee, Y. (2016). Applying game theory and queuing system on measuring efficiency of healthcare systems. Spring Conference of the Korean Institute of Industrial Engineering. Jeju, South Korea.

Rismanchian, F., Park, S., Baek, J., Lee, Y. (2016). A process mining-based method to improve the facility layout in an emergency department. International Conference on Engineering Technologies and Big Data Analytics (ETBDA 2016). Bangkok, Thailand.

Lee, Y., Kim, S., Rismanchian, F., Choi, Y. (2015). A data mining model for medical service process flow prediction. 27th European Conference on Operation Research. Glasgow, Scotland.

Kim, S., Lee, Y., Rismanchian, F., Choi, Y. (2015). Medical process pattern prediction model using case-based reasoning. International Conference on Technology and Business Management (ICTBM 2015). Dubai, UAE.

Ghadirinejad, M., Kashan, A., Rismanchian, F. (2013). A new competitive method for solving assembly line balancing problem. First International Conference on New Direction in Business, Management, Finance and Economics. Famagusta, Cyprus.

Publications:

Rismanchian, F., Kasani, SH., Shavarani, S.M., Lee, Y. (2022) A Data-Driven Approach to Support the Understanding and Improvement of Patient's Journeys: A Case Study Using Electronic Health Records of an Emergency Department. Value in Health. (In Press)

Kasani, SH., Rismanchian, F., Kasani PH. (2021) k-Relevance Vectors: Considering Relevancy Beside Nearness. Applied Soft Computing Journal, Vol 112, pp. 107762. https://doi.org/10.1016/j.asoc.2021.107762.

Shavarani, S.M., Nejad, M.G., Rismanchian, F. et al. (2018). Application of hierarchical facility location problem for optimization of a drone delivery system: a case study of Amazon prime air in the city of San Francisco. The International Journal of Advanced Manufacturing Technology, Vol 95, Issue 9–12, pp. 3141–3153. DOI: 10.1007/s00170-017-1363-1.

Rismanchian, F., Lee, Y. (2017). Process mining–based method of designing and optimizing the layouts of emergency departments in hospitals. Health Environments Research & Design Journal, Vol 10, Issue 4, pp. 105 – 120. DOI: 10.1177/1937586716674471.

Rismanchian, F., Lee, Y. (2017). Moment-based approximations for first- and second-order transient performance measures of an unreliable workstation. Operational Research, Vol 18, Issue 1, pp. 75 – 95. DOI: 10.1007/s12351-016-0254-9.

Rismanchian, F., & Moghimihadji, E. (2014). Transient analysis of single machine production line dynamics. International Journal of Operations Research, Vol. 11, No. 2, 40-50.