Design and Evaluation of Drawing Frame Based on AHP and Weighted Grey Relational Analysis

CHAI Min, MA Yu

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 251-257, 301.

PDF(778 KB)
PDF(778 KB)
Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 251-257, 301. DOI: 10.19554/j.cnki.1001-3563.2022.04.031

Design and Evaluation of Drawing Frame Based on AHP and Weighted Grey Relational Analysis

  • CHAI Min, MA Yu
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Abstract

In order to objectively evaluate the influence of qualitative index factors in the drawing frame on the drawing frame design and reduce subjective bias in the decision-making process of design scheme, an evaluation model was established to convert qualitative index into quantitative index of drawing frame and decide the best design scheme. By combining the analytic Hierarchy Process (AHP) with the improved Grey Relational Analysis (GRA), the respective advantages of the two methods were integrated. Taking the Grey Relational Analysis as the central model and the AHP model as the auxiliary model, the design factors affecting the drawing machine were comprehensively considered from the three aspects of modeling, structure and experience. The weight vector of each factor and each correlation coefficient in the reference layer of the drawing machine was determined through the AHP model and MATLAB auxiliary calculation. In this way, the correlation degree between the three design alternatives and the optimal scheme was calculated by combining GRA to realize the prioritization of each scheme. The application example shows that the method can be used to evaluate the best drawing frame design scheme, and the evaluation process is more objective and accurate, which provides quantitative analysis reference for other design schemes in later stage.

Key words

industrial design; textile machinery; drawing frame; AHP; GRA

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CHAI Min, MA Yu. Design and Evaluation of Drawing Frame Based on AHP and Weighted Grey Relational Analysis[J]. Packaging Engineering. 2022, 43(4): 251-257, 301 https://doi.org/10.19554/j.cnki.1001-3563.2022.04.031
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