Health Care : Current Reviews

Enhancing the quality of a healthcare department with the help of optimization modelling: Application of DOE and simulation

5^th International Congress on Healthcare & Hospital Management

December 03-04, 2018 | Rome, Italy

Abdulkadir Atalan and Yasemin Ayaz Atalan

Bayburt University, Turkey
Bozok University, Turkey

Scientific Tracks Abstracts: Health Care Current Reviews

Abstract:

Design of experiment (DOE) is a vital tool in modern quality engineering. It has become common sense to use DOE and other optimization models in the studies that aim to improve service or product quality. On the other hand, corporations extensively use computer discrete event simulations to progress their products, performances or services. The purpose of this study is to apply full factorial design of DOE method along with the discrete events simulation technique to minimize performance variability or deviations and maximize the target values of objective functions of optimization models to find the best values for decision variables. This study aims to decrease waiting times and increase the number of patients treated by managing the resources of healthcare systems and the best results were obtained and compared for the number of healthcare resources. By integrating the full factorial design approach with the simulation technique, the average waiting time of a patient in the hospital was reduced from 40.09 minutes to 9.83 minutes (improvement of 75.48%), resulting in a significant result. The number of patients treated in one day is increased from 132 (average) to 147 (improvement of 11.37%) by increasing the capacity of resources without increasing the number of available resources for any part of the hospital. Recent Publications 1. E Cabrera, M Taboada, M L Iglesias, F Epelde and E Luque (2011) Optimization of healthcare emergency departments by agent-based simulation. Procedia Computer Science 4:1880???1889. 2. M A Ahmed and T M Alkhamis (2009) Simulation optimization for an emergency department healthcare unit in Kuwait. European Journal of Operational Research 198:936???942. 3. K Kogan, J Leu and T Chernonog (2014) Healthcare supply chain operations: Why are doctors reluctant to consolidate? Operations Research for Health Care 3(3):101???115. 4. L Siciliani, A Stanciole and R Jacobs (2009) Do waiting times reduce hospital costs? Journal of Health Economics 28(4):771???780. 5. H R Feili (2013) Improving the health care systems performance by simulation optimization. Journal of mathematics and computer Science 7:73???79.

Biography :

Abdulkadir Atalan is a PhD student at the Department of Industrial Engineering at Marmara University and a Research Assistant at Bayburt University, Turkey. He received Master’s degree at the Department Healthcare Systems Engineering at Lehigh University, USA in 2013. He researched about the US Healthcare System at Clemson University, USA in 2015. His background has Industrial and Healthcare Systems Engineering which includes quality control, optimization, simulation and analyzing. He believes that healthcare has been one of the main topics in the news over the past few years. That’s why he has decided to improve his background in delivering healthcare and health related products and services. In addition, having this will bring him skilled professional management roles aimed at improving quality, streamlining processes, and improving efficiency in the constantly evolving healthcare systems.

E-mail: aatalan@bayburt.edu.tr