Optimizing Experimental Simulation Design for the Emergency Departments

Abstract

Goal: this research aims to use the experimental simulation method is to obtain the optimum results by using the simulation technique of the models which are modeled mathematically but not solved. Design/Methodology/Approach: a case study was conducted to apply discrete-event simulation (DES) approach based on design of experiment (DOE) technique to derive strategies and analyze situations in an emergency department (ED). Results: by integrating the DOE approach with the DES technique for the ED, the average waiting time of a patient in a small ED was reduced from 40.09 minutes to 9.83 minutes (75.48%), resulting in a significant result. The number of patients treated was increased from 132 to 147 (11.37%) by increasing the capacity of resources without increasing the number of resources for ED in daily. Additionally, optimum the numbers of resources of the healthcare were calculated to employ in EDs. Limitations of the investigation: there is no shift system for the resources of healthcare in the DES model. Since the ED was considered in this study, the same number of resources were run during the working hours of the DES model. Practical implications: for researches and healthcare professionals, the developed method is used to provide the possibility of obtaining the results which cannot be obtained by mathematical modeling of the healthcare problems. The results of the changes made in health resources on the outputs are obtained by this method as the shortest and lowest cost. Originality/Value: there is almost no detailed study of DES with DOE. Providing high reliability has resulted for the optimum values by integrating the DOE approach with the DES technique in healthcare area. It is very difficult to get accurate results everywhere where the human factor is.

Yüksek Kaliteli Şeker Elde Etmek İçin Deney Tasarımı Optimizasyonunun Geliştirilmesi

“…The design of experiment approach developed by Ronald Fisher in the early 1920s is widely used in many scientific fields that require experimentation [5], [17]. The central concept of the design of experiment is that it deals with the effect of independent variables on the dependent variable in detail [18].…”

“…In this study, some of the chemical processes are considered independent variables. The design of experiment is used by researchers in many fields, especially in studies that require experimentation [5]- [8]. In some studies, not the production of raw sugar, but the experimental design method was used to increase the yield from sugar beet, which is the raw material of raw sugar [9].…”

“…Some of these techniques are included in the literature as full-factorial design, fractional factorial design, response surface design (central composite design, Box-Behnken design), mixture design, screening design. The researchers preferred these designs depending on the types, levels, data numbers of the dependent and independent variables used for the experiment, and most importantly, the cost and time of the experiment [5]. If less data is needed in terms of cost and time, other design types are used instead of full-factorial design.…”

Validation of production system throughput potential and simulation experiment design

“…In addition, statistical analysis of the simulation results must be performed, the complexity of which depends on the experiment design. For example, Atalan and Dönmez (2020) report the design of a large-scale, full factorial simulation experiment that was used to reduce patient waiting time in an emergency room by about 75% and increase the number of patients seen by about 10%.…”

Ambulance Service for Hospital Selection: Optimization With Discrete-Event Simulation Application for Yozgat Province of Turkey

“…The patient must be transferred to a hospital that does not have the closest hospital but has sufficient personnel (physicians, nurses, technicians, etc.) [29] and equipment to respond to the complaints of the patients. This study included a case study with actual ambulance dispatch data.…”