Research on the Design of Surgical Auxiliary Equipment Based on AHP, QFD, and PUGH Decision Matrix

Table 1

An overall comparison between this proposed approach and other studies.

Author and reference	User requirement	Design characteristic	Case evaluation	Major contributions
This paper	AHP	QFD	PUGH decision matrix	Proposed a product design and evaluation method based on AHP, QFD, and PUGH decision matrix, designed a surgical auxiliary equipment to verify the scientificity and effectiveness of the method
Oey et al. [23]	KE	—	QFD	Sought a way to accommodate user requirements in their product and process improvement
Lu et al. [24]	Ergonomic simulation	TRIZ	—	Constructed a product form evolution design method integrating the TRIZ contradiction matrix to simplify the product form evolution process
Liu et al. [25]	—	Z-AHP	TOPSIS	Proposed a design evaluation method based on Z-numbers
Yue et al. [26]	—	—	AHP	Improved the evaluation system of the design of household medical products for the elderly
Zhang et al. [27]	Text-mining techniques	—	GRA	Proposed a lead user identification method based on user behavior data and contribution content analysis
Wang [28]	NLP	—	F-TOPSIS	Proposed a product evaluation method that combines NLP and fuzzy multi-criteria decision-making
Wurster et al. [29]	Online survey	Focus group	—	Used consumers as a valuable source of information to specify features of the output of an innovative CE ecosystem

AHP: analytic hierarchy process, QFD: quality function deployment; PUGH decision matrix: platts conceptual decision matrix, KE: Kansei engineering, TRIZ: the theory of inventive problem solving, NLP: natural language processing, TOPSIS: Technique for Order Preference by Similarity to an Ideal Solution, and GRA: grey relational analysis.