Automotive style design assessment and sensitivity analysis using integrated analytic hierarchy process and technique for order preference by similarity to ideal solution

Tian, Guangdong; Zhang, Honghao; Jia, Hongfei; Liu, Yumei; Xu, Guili; Wang, Jing

doi:10.1177/1687814016649885

Cited by 7 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other sectors beyond these, MCDM is the only dominant decision-making method identified including in Energy [6,52], Automotive [53,54], Manufacturing [55,56], PSS [57,58] and Supply Chain [59]. In all these latter sectors, it perhaps suggests that the emergent appreciation of the complex dynamics and the need for tools that cope with it are the drivers towards this trend.…”

Section: Descriptive Analysismentioning

confidence: 99%

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

2020

View full text Add to dashboard Cite

The complexity of construction processes often means interaction between various stakeholders, activities and tasks in order to deliver the expected outcomes. The intensity and dynamics of front-end design (FED) mean decision techniques and methods are important in supporting projects benefits delivery more importantly those based on utility of decision making. This paper explores a new utilitarian decision-making approach based on a systematic literature review of FED decision making. It presents the state of the art in design decision making concepts and analysis of tools over the last 10 years (2009–2019). From a total of 111 peer-reviewed journal papers, fifteen decision-making techniques are identified as dominant in design decision making, broadly grouped in four major categories as explanatory/rational, Multi Criteria Decision Making techniques (MCDM), Hybrid and Visual methods. The review finds that the most applied of the MCDM is Quality Function Deployment (QFD); while among the rational/explanatory techniques is set-based design (SBD). While there is limited application of Multi Attribute Utility Theory (MAUT) in decision making, the paper finds that the robust consistency and structured approach better captures the intricate dynamics of FED; including modelling of the subjectivity, interdependences and uncertainty in design discourse.

show abstract

Section: Descriptive Analysismentioning

confidence: 99%

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

2020

View full text Add to dashboard Cite

show abstract

“…It employed adjectival image words to represent feelings of a customer toward a car, thereby building a connection between the car styles and image words. Tian et al 9 proposed an integrated analytic hierarchy process–technique for order preference by similarity to ideal solution (AHP-TOPSIS) method for the automotive style design assessment, and they interviewed 20 experts for the performance factors corresponding to styling elements.…”

Section: Related Workmentioning

confidence: 99%

A machine learning–based framework for analyzing car brand styling

Dong

Wen

et al. 2018

Advances in Mechanical Engineering

View full text Add to dashboard Cite

To avoid the requirement of expert knowledge in conventional methods for car styling analysis, this article proposes a machine learning–based method which requires no expert-engineered features for car frontal styling analysis. In this article, we aim to identify the group behaviors in car styling such as the degree of brand styling consistency among different automakers and car styling patterns. The brand styling consistency is considered as a group behavior in this article and is formulated as a brand classification problem. This classification problem is then solved by a machine learning method based on the PCANet for automatic feature encoding and the support vector machine for feature-based classification. The brand styling consistency can thus be measured based on the classification accuracy. To perform the analysis, a car frontal styling database with 23 brands is first built. To present discovered brand styling patterns in classification, a decoding method is proposed to map salient features for brand classification to original images for revelation of salient styling regions. To provide a direct perception in brand styling characteristics, frontal styling representatives of several brands are present as well. This study contributes to efficient identification of brand styling consistency and visualization of brand styling patterns without relying on expert experience.

show abstract

“…More importantly, the lines were also believed to be symbols of design background and brand identity for consumers. The characteristic evaluation from Tian et al [9] on car type was also based on the projection curve of the feature line of the CAD model in the direction of three views. In addition to evaluating existing models, CAD models are also used to predict design trends and consumer demand.…”

Section: Introductionmentioning

confidence: 99%

A Novel Shape-Adjustable Surface and Its Applications in Car Design

Fan

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In this paper, a new parameterized surface, termed SQ-Coons surface, is proposed according to the build mode of Coons patch. The surface is always interpolated to the boundary curves, and its shape details could be controlled by the shape parameters in CE-Bézier basis functions, which makes it suitable for styling design in computer aided design (CAD). In order to exert its geometric advantages in car design, a simplified body CAD template based on characteristic lines is built according to common vehicle features. The template is built entirely from SQ-Coons surfaces, so that the overall style and detail shapes could all be modified by the control points and shape parameters of each surface. By analyzing the curvature of fifty commercial car types generated through the template and various parameters, a set of methods for constraining the range of shape parameters is proposed. On this basis, as an example, the four shape parameters of the hood surface in one model are used as variables to optimize the body shape to achieve the lowest possible aerodynamic drag coefficient in computational fluid dynamics (CFD). The results show that the design method, combining the new surface and the model template, could reflect the modeling characteristics of different cars, and improve the design and scheme adjustment efficiency in the conceptual design stage.

show abstract

Automotive style design assessment and sensitivity analysis using integrated analytic hierarchy process and technique for order preference by similarity to ideal solution

Cited by 7 publications

References 44 publications

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

A machine learning–based framework for analyzing car brand styling

A Novel Shape-Adjustable Surface and Its Applications in Car Design

Contact Info

Product

Resources

About