Modeling Design of Cheese Packaging Machinery Based on QFD and TRIZ

LI Xiao-tong, HU Chang-ge

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (8) : 92-100.

PDF(1181 KB)
PDF(1181 KB)
Packaging Engineering ›› 2022, Vol. 43 ›› Issue (8) : 92-100. DOI: 10.19554/j.cnki.1001-3563.2022.08.012

Modeling Design of Cheese Packaging Machinery Based on QFD and TRIZ

  • LI Xiao-tong, HU Chang-ge
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Abstract

In order to improve the whole industrial model of Cheese packaging machinery and solve the main design paradox under the many requirements of users and enhance model design efficiency and the using satisfaction of operational staffs, a kind of Cheese packaging machinery design method based on QFD-TRIZ theory is put forward. Firstly, the essay collected typical samples through network research and analyzed the status quo of equipment modeling design, adopted the method of interviews and focus groups to obtain user's- requirements and established hierarchy model of requirements. Secondly, it applied QFD theory to transfer the users' needs to corresponding design character and located the main contradictions combined with the method of analytic hierarchy process. Finally, the design contradictions were classified, and the optimal invention principle corresponding to each contradiction type was screened out by using table of the invention principle frequency. Optimization scheme of modeling was carried out by integrating various solutions of invention principles. and achieved a better design scheme. The results show that QFD-TRIZ theory can efficiently solve the main paradox problems of Cheese packaging machinery's modeling design under the satisfaction of the protection effectiveness, model beauty and cost control, which can provide the reference for similar categories of product design and research.

Key words

cheese packaging machinery; QFD and TRIZ theory; analytic hierarchy process; modeling design

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LI Xiao-tong, HU Chang-ge. Modeling Design of Cheese Packaging Machinery Based on QFD and TRIZ[J]. Packaging Engineering. 2022, 43(8): 92-100 https://doi.org/10.19554/j.cnki.1001-3563.2022.08.012
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