Title :
Decision model for selecting a sedan car
Author :
Saatchi, Bahareh ; Pham, Larry ; Pham, Hieu ; Pai, Chun Fan ; Tran, Yvonne
Author_Institution :
Dept. of Eng. & Technol. Manage., Portland State Univ., Portland, OR, USA
fDate :
July 28 2013-Aug. 1 2013
Abstract :
There is a large variety of sedan cars available in the market in the US, and deciding on what sedan car suits a person best is difficult. This paper presents a hierarchical decision model (HDM) to help make that decision. HDM has been chosen for this purpose because it allows the users to easily visualize how decision elements at each level of the decision hierarchy impact the final decision. It is also provides information to the manufacturers to determine what characteristics of the car need to be improved. This paper uses the following six selection criteria: fuel economy, overall crash test rating, costs, features, performance, and dependability. Although there are other factors that go into a sedan car, these six are considered the most important criteria for selecting a sedan car. The authors of the paper provided their quantified judgments using pairwise comparisons to demonstrate the model. The use of the HDM with pairwise comparisons resulted in weighted values for each element at each level of the decision hierarchy. The model was applied to the top five best-selling sedans of 2012, and Honda Accord LX 2012 was selected as the best among them.
Keywords :
automobiles; consumer behaviour; costing; decision theory; fuel economy; impact testing; reliability; HDM; Honda Accord LX 2012; car costs; car dependability; car features; car performance; decision elements; decision hierarchy; fuel economy; hierarchical decision model; overall crash test rating; sedan car selection; selection criteria; Fuel economy; Iron; Maintenance engineering; Optical character recognition software; Technology management; Vehicle crash testing; Vehicles;
Conference_Titel :
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location :
San Jose, CA