Application of Snow Thrower Design Evaluation Based on Fuzzy Comprehensive Evaluation Method

PENG Peng, HU Chang-ge, CHAI Min

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (14) : 59-65.

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Packaging Engineering ›› 2022, Vol. 43 ›› Issue (14) : 59-65. DOI: 10.19554/j.cnki.1001-3563.2022.14.007

Application of Snow Thrower Design Evaluation Based on Fuzzy Comprehensive Evaluation Method

  • PENG Peng, HU Chang-ge, CHAI Min
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Abstract

The paper aims to evaluate the influence of multiple design factors on the snow throwers reasonably, select the optimal design scheme, and establish evaluation model of snow thrower design scheme combining qualitative and quantitative analysis. Analytic Hierarchy Process (AHP) and Affinity Diagram (JK) were used to classify and summarize the related influencing factors according to the usage mode and application characteristics of snow throwers and the existing problems of snow throwers. The multi-level analysis model of snow plow was established from the aspects of appearance, experience, man-machine and maintenance, and the weight of each influencing factor was obtained through MATLAB assisted calculation. Then Fuzzy Comprehensive Evaluation (FCE) was used to score the three schemes, forming their own score set and matrix set, and then the Fuzzy Evaluation result vector was obtained through synthesis calculation. Finally, the optimal design scheme was selected. The evaluation model was applied to the evaluation of three snow thrower modeling design schemes. The analysis of application examples shows that the evaluation model can complete the ranking of pros and cons of each design scheme, and the evaluation process is objective and accurate, which provides a quantitative analysis reference for the design and optimization of snow throwers in the later stage.

Key words

product design; snow thrower; AHP; fuzzy evaluation method; design scheme

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PENG Peng, HU Chang-ge, CHAI Min. Application of Snow Thrower Design Evaluation Based on Fuzzy Comprehensive Evaluation Method[J]. Packaging Engineering. 2022, 43(14): 59-65 https://doi.org/10.19554/j.cnki.1001-3563.2022.14.007
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