Selecting a Fuel-Efficient Vehicle Using Data Envelopment Analysis

In this paper we use four different extensions of Data Envelopment Analysis (DEA) to rank the relative performance of sustainable vehicles. The use of the four ranking approaches employed in this study enhances the reliability of the decision outcome. In addition, these methods are solely based on data and do not require expert opinions for evaluating the importance of various criteria and vehicle selection. Because of data availability, using decision tools that are data driven is becoming more important in facilitating decision making processes. This study examines a field application of DEA for the selection of a consumer durable from engineering and marketing perspectives, with consideration for environmental factors during their use phase.