Estimating Emergency Department Maximum Capacity using Simulation and Data Envelopment Analysis

Capacity utilization in data envelopment analysis with integer data

In the process of production, some of the inputs are fixed and cannot easily be changed, such as work hours of workers and hours of administrative or work, these types of inputs are fixed and others are variables. In this paper, by considering some inputs or outputs which are limited, their amounts must be integrated; this concept for integer data is extended. We show the importance of subject ...

Estimating Most Productive Scale Size with Double Frontiers in Data Envelopment Analysis using Negative Data

In this paper, it is assumed that the “Decision Making Units“( ) are consist of positive and negative input and output. Firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. These productive values are compared with double frontiers and Hurwicz’s Criterion to obt...

Iranian Railway System Performance Analysis Using Computer Simulation and Data Envelopment Analysis Methods

  In this paper, a discrete event simulation model of Iranian railway system is used for analyzing performance of the system in freight sector. The model analysis shows more sensitivity of the system on loading and unloading facilities than on number of wagons and locomotives. System optimization through simulation optimization technique, shows that more than 4% of all wagons available in the n...

Failure Mode and Effects Analysis Using Data Envelopment Analysis

The Use of Simulation and Design of Experiments for Estimating Maximum Capacity in an Emergency Room

This work presents the results obtained after using a simulation model for estimating the maximum possible demand increment in an emergency room of a private hospital in Chile. To achieve this objective the first step was to create a simulation model of the system under study. This model was used to create a curve for predicting the behavior of the variable patient’s time in system and estimate...