Abstract
It is quite important for mapping up design strategies to study on "what style of vehicles would sell in the future?". To enhance the design planning quality through the application of "Science SQC", the present study aims at achieving the following: (1) To materialize vehicle images as desired by customers, (2) To analyze causal relations between the customer satisfaction assessment and the vehicle appearance review factors on the basis of the appearance style assessment, and (3) Based on the knowledge thus acquired, to understand the relevancy between vehicle images and proportion data and reflect the results to the design planning. In the current study, the following items have been verified: We have analytically indicated the causal relationship of steps that convert the customers' sensory factor which is a direct decision-making factor for purchasing, into a concrete contour as "Design SQC" by utilizing "Scinence SQC". By noting that the processing of analysis itself can be part of conception and judgement of the "Designing", "SQC Technical Methods" which are a part of core technologies of "Science SQC", is applied as an analytical method. It is proposed and verified with the examples of application as the profile design support tool.
