<abstract> <p>To improve the scientificity of household medical product design for rhinitis patients, this study used the analytic hierarchy process (AHP) to provide guidance for household medical product design strategy. In the process of design decision-making, the identification of user needs and the evaluation of the scheme depend heavily on the designer's experience and knowledge. The main contribution of this paper is to evaluate the design elements through the AHP method and apply it to the actual design work. This work can greatly reduce the risk in design decisions. First, the AHP model and evaluation matrix of design elements were established and sorted out by semantic analysis of users' research results. Second, an expert group was invited to score using the 1–9 scale method. Then, the geometric mean method was used to calculate the weight shares of different indicators so as to rank them. Finally, the strategy was proposed based on ranking indicator weights, and product design was carried out. The application of AHP can make the product design process more objective and rigorous. The design scheme of this study can provide references and ideas to promote the vigorous development of household medical products for rhinitis patients.</p> </abstract>

With the continuous development of the Internet economy, online furniture sales are increasingly becoming an important channel for consumers to purchase furniture. In order to investigate the influencing factors of consumers’ preference for purchasing furniture online, this paper aims to find out the influencing factors of online furniture consumption and their weight relations by using the literature research method and Delphi method to clarify the influencing factors of online furniture consumption, followed by the Analytic Hierarchy Process (AHP), from the Target Level, Criterion Level, and Sub-criterion Level. Weight analysis was carried out on the influencing factors of online furniture consumption. The three primary indicators included Personal Factor, Product Factor, and Service Factor. The 16 secondary indicators included Personality Traits, Revenue, Occupation, etc. An index system model was established for online furniture consumption based on the above factors. It was concluded that consumers are most influenced by the price of furniture among Product factors when choosing online furniture. The findings were consistent with the AHP model data when tested using a grey prediction model. The data from this study can therefore provide an important reference for online furniture product development and marketing promotion.