Traditional Improved Design Method of Manual Agricultural Tools Based on Multi-attribute Decision-making Model

LI Xue-rui, MING Yu-cheng, YANG Wen-yuan, ZHANG Ye-hui, ZHAO Kun-rong

Packaging Engineering ›› 2023, Vol. 44 ›› Issue (22) : 114-122.

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Packaging Engineering ›› 2023, Vol. 44 ›› Issue (22) : 114-122. DOI: 10.19554/j.cnki.1001-3563.2023.22.013

Traditional Improved Design Method of Manual Agricultural Tools Based on Multi-attribute Decision-making Model

  • LI Xue-rui, MING Yu-cheng, YANG Wen-yuan, ZHANG Ye-hui, ZHAO Kun-rong
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Abstract

The work aims to propose a multi-attribute decision-making model to study the improvement design of traditional farm tools based on people, so as to improve farmers' experience in agricultural production, reduce their physical burden and improve their work efficiency. First of all, with farmer users as the center, specific requirements were put forward based on JACK man-machine simulation data. The analytic hierarchy process was adopted to calculate the weight of demand, clear the design objectives and urgent design problems. Then, the object field model in the TRIZ tool was used to analyze the problems. According to the corresponding standard solution, the design problems were solved. Based on this, the improved design scheme was completed. Finally, the rationality of the method was verified with JACK simulation software. A multi-attribute decision-making model integrating analytic hierarchy process (AHP), TRIZ theory and JACK simulation evaluation is constructed to complete the research on the improvement method of traditional farm tools. The design was verified with shovels as examples, providing an effective path and implementation strategy for the improvement design of traditional farm tools.

Key words

multiple-attribute decision-making; analytic hierarchy process; TRIZ theory; JACK simulation evaluation; improved design of farm tools

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LI Xue-rui, MING Yu-cheng, YANG Wen-yuan, ZHANG Ye-hui, ZHAO Kun-rong. Traditional Improved Design Method of Manual Agricultural Tools Based on Multi-attribute Decision-making Model[J]. Packaging Engineering. 2023, 44(22): 114-122 https://doi.org/10.19554/j.cnki.1001-3563.2023.22.013
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