Drawing Frame Modelling Design Research Based on the Principal Component Analysis and Fuzzy Kano Model

CHAI Min, PENG Peng, MA Yu

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (14) : 51-58, 121.

PDF(634 KB)
PDF(634 KB)
Packaging Engineering ›› 2022, Vol. 43 ›› Issue (14) : 51-58, 121. DOI: 10.19554/j.cnki.1001-3563.2022.14.006

Drawing Frame Modelling Design Research Based on the Principal Component Analysis and Fuzzy Kano Model

  • CHAI Min, PENG Peng, MA Yu
Author information +
History +

Abstract

The paper aims to obtain the user demand of drawing frame more accurately, obtain the design-related factors from the production practice, and propose a drawing frame design and development process.Principal Component Analysis (PCA) and fuzzy Kano model were used to combine the advantages of the two methods, and the design factors of the drawing frame were eliminated through PCA to reduce the data dimension and reduce the number of drawing frame design factors to facilitate analysis. According to the calculation method and the relevant specification of user requirements in the Kano model, questionnaire design was carried out by combining various design-related factors. After the statistics and analysis of the survey data, the user demand categories of the design factors affecting the drawing machine were obtained, and finally integrated into the innovative design process of the drawing machine. Based on the analysis results of principal component analysis and fuzzy Kano model, the innovative design of drawing frame is carried out. The feasibility and effectiveness of the drawing frame design and development process are verified, which provides the basis for the design of the drawing frame and quantitative analysis reference for related category product design.

Key words

industrial design; textile machinery; drawing frame; PCA; fuzzy Kano model

Cite this article

Download Citations
CHAI Min, PENG Peng, MA Yu. Drawing Frame Modelling Design Research Based on the Principal Component Analysis and Fuzzy Kano Model[J]. Packaging Engineering. 2022, 43(14): 51-58, 121 https://doi.org/10.19554/j.cnki.1001-3563.2022.14.006
PDF(634 KB)

Accesses

Citation

Detail

Sections
Recommended

/