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About Us

Erkan Celik

Erkan Celik received BSc and MSc degree in Industrial Engineering from Selcuk University, Konya, Turkey in 2008 and 2011, respectively. He also received PhD in Industrial Engineering from Yildiz Technical University, İstanbul, Turkey in 2015. He is now Associate Professor in Industrial Engineering from Munzur University, Tunceli, Turkey. He has published many papers in highly cited journals as Transportation Research Part E, Transportation Research Part A, Computers & Industrial Engineering, International Journal of Production Research, European Journal of Industrial Engineering and etc. His research interests are in decision analysis, humanitarian logistic, fuzzy sets. Now, he is the editor in chief of two book projects that will be released in 2020: Computational Intelligence and Soft Computing Applications in Healthcare Management Science (IGI-Global) and Fine–Kinney-based multi-criteria risk assessment: Approaches, Case studies and Python applications (Springer).

Publications

Computational Intelligence and Soft Computing Applications in Healthcare Management Science

In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft...

NARX Neural Networks Model for Forecasting Daily Patient Arrivals in the Emergency Department

Regarding measuring of service quality at the emergency departments (ED), essential parameters are length of stay (LOS) and waiting times. Patient arrivals, which is related to...

A Fuzzy Decision-Making Model for the Key Performance Indicators of Hospital Service Quality Evaluation

One of the major concerns of the healthcare industry throughout the world is to provide better hospital service quality. Management and delivery of hospital healthcare services...

A Forecasting Model for Patient Arrivals of an Emergency Department in Healthcare Management Systems

Emergency departments (EDs) are one of the most valuable departments of healthcare management systems. Patient arrivals at the EDs are crucial for planning of the future....