DECISION MODEL FOR SELECTION OF DISCRETE-EVENT SIMULATION SOFTWARE - A DATA ENVELOPMENT ANALYSIS (DEA) APPROACH

摘要

Discrete-Event Simulation Software (DESS) are used to analyze the workings of complex systems and also how changes made to system parameters would affect the system performance without incorporating costly and time consuming experimental trials. There are a variety of DESS available in the market with varying characteristics and features which makes the selection of a DESS difficult. In this paper, we will examine the Data Envelopment Analysis (DEA) approach to the DESS selection. We will rely on published research to identify factors used in the DESS selection process. Results from the solved DEA models will then be analyzed to identify efficient as well as inefficient packages and recommendations on how to improve the efficiency of inefficient packages will be made.