Decision Model of Design for Elderly Wearable Health Monitoring Products Based on Quality Function Deployment and Analytic Network Process

Abstract

Facing the current situation of aging society, the health of the elderly has once again become an important issue related to people's livelihood. Aiming at the health problems of the elderly, with the improvement of science and technology, a series of wearable health monitoring products targeted at the elderly have gradually appeared. In order to accurately provide the elderly with a good experience in the interaction of wearable health monitoring products, this article obtains the needs of the elderly according to the research content of ergonomics, and addresses the needs of the elderly from their physical, psychological and Three angles of interaction were classified; then based on the demand, a Quality Function Deployment (QFD) method was used to build a house of quality model, which transformed the needs of the elderly into design requirements, and combined with Analytic Network Process (ANP) to build a model evaluation index system. Combining the house of quality model with the network analysis method, so that the advantages of the ANP method can be fully utilized, the shortcomings of the QFD method can be overcome, and the degree of interaction between factors in the index system can be better reflected, so that the attribute weights given are more reasonable. Finally, a fuzzy QFDANP method model for the selection and modification of such product design schemes is constructed, which not only avoids the subjective and unreasonable factors of the initial requirements acquisition of the product design, but also can target the applicability requirements of the product functions and structure Modifications provide clear goals for the design and selection of design options for such products. The validity and practicability of the method are verified by examples.