Combining the AHP and TOPSIS to evaluate car selection

Abstract

Car manufacturing is recently growing rapidly along with the development of technology and science. Consequently, car manufacturers have to improve their products, i.e., the cars, to meet customers' requirement. This study tried to evaluate car selection by utilizing nine criteria that are considered by the customers when they are willing to purchase the cars, namely, exterior, convenience, performance, safety, price, fuel efficiency, resale, spare part warranty, and dealer. The analytic hierarchy process (AHP) and technique for others reference by similarity to ideal solution (TOPSIS) were combined to accomplish the objective of this study. Firstly, the AHP was used to determine the weights of each criterion. The weights that have been identified by the AHP were then employed to select the best alternative using TOPSIS method. A case study to exhibit the applicability of the methods was conducted to evaluate two types of cars that have similar engine capacity and price range, i.e., All New Avanza 1.3 E and All New Xenia 1.3 R. Data were collected and compiled from three experts consist of a car rental owner, a car workshop owner, and a car dealer employee. The AHP result showed that the price was labelled as the most important criterion with weight of 0.182. The All New Avanza 1.3 E were regarded preferable than All New Xenia 1.3 R based on TOPSIS calculation. The finding of this study might offer the car manufacturers with valuable insight into the criteria that reflect customer's assessment in car selection.

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