Integration of Discrete-Event Simulation and Statistical Process Control Methods

Abstract

This study aimed to integrate the discrete-event simulation system with the statistical process control method to test whether the discrete-event simulation system is under control using the discreteevent simulation method. This study created a three-dimensional discrete-event simulation model of the emergency service unit. Using the data of patient stay (or length of stay) and waiting times obtained in the simulation model, analyses were made with Xbar-R and Xbar-S control charts in statistical process control methods. Determining which values of the simulation data are out of control was carried out with statistical process control charts. For Xbar-R and Xbar-S graphics, 901 data were analyzed, with 30 subgroups. This study determined that the patient was under control according to Xbar-R and Xbar-S control charts of patient stay and waiting times, but the system was out of control according to R and S control charts. As a result, it has been determined that the system in the 3D simulation model is out of control according to the statistical process control charts. It is recommended to take the system under control by observing the data that is out of control. This study emphasized that the results obtained from the systems performed in the computer environment should be integrated with statistical process control charts to verify their validity.