Application of Refined Kano’s Model to Shoe Production and Consumer Satisfaction Assessment

Research on innovative design of community mutual aid elderly care service platform based on Kano model

The mutual aid elderly care model is important to solve the world population's current aging problem. However, although mutual aid elderly care has been developing in China for more than 20 years, there is still a lack of a systematic way to participate in mutual aid elderly care services, which has led to a slow development of mutual aid elderly care. Therefore, in order to promote the development of mutual aid elderly care and the transition of social elderly care towards sustainability, this study analyzes the actual elderly care service needs and proposes new design strategies for mutual aid elderly care service platforms. In this study, first, the actual elderly care needs were obtained through interview methods and offline questionnaire surveys. The results showed that the elderly have a high demand for health, daily life, entertainment, and spiritual needs, which can be used to establish a comprehensive Kano model. Based on the priority of the needs hierarchy, mutual aid elderly care resources can be allocated rationally. For example, when applying the research results to the design of mutual aid elderly care service platforms, the "Must-be quality" is first satisfied, followed by the "One-dimensional quality" and the "Attractive quality" according to the actual situation. Furthermore, the mutual aid elderly care service platform is divided into a basic version and a professional version to promote the actual needs of different groups of elderly people. In conclusion, the study aims to promote the development of mutual aid elderly care and the transition of social elderly care towards sustainability. The research value of this study lies in its potential to alleviate the slow development of the current mutual aid elderly care model in China and provide a reference for solving the problem of global aging population.

Sustainable Recognition Methods of Modeling Design Features of Light and Micro Vehicle-Mounted UAV: Based on Support Vector Regression and Kano Model

In the era of Industry 4.0, intelligent algorithms provide an effective way to make design methods more sustainable through mining people’s demands continuously, especially in the field of evaluating and predicting the user preferences of phasic or interim design schemes. Vehicle-mounted unmanned aerial vehicles (UAVs) are of significance in mobility experience and traffic surveys. However, as a new type of product, UAVs lack general rules in modeling design and the process of development decision making presents some fuzzy characteristics, which make the evolution and iteration of modeling design more complex. Based on the theories of Kansei Engineering, this study utilized support vector regression (SVR) to establish a correlation model between design factors and preference degree. Because the perceptual evaluation knowledge is fuzzy and uncertain, the paper applied cross-validation and grid search methods to find the optimal parameters. The parameters of the SVR model were adjusted to meet the need for stable learning and for endurance of the noise from subjective experience data to improve the prediction effect and generalization ability. In addition, by means of the Kano model, the customers’ cognition of demand types was quantified to obtain the prioritization of UAV modeling design elements, as well as to compare with the preference scores to validate the feasibility of this research. It was found that the SVR model proposed in the study could effectively predict user preference (R2 = 0.763, RMSE = 0.057). For the UAVs with a higher preference score, the modeling characteristics were consistent with the attractive, one-dimensional or must-be quality elements in the results of the Kano model, which verified the reliability of the study. The conclusion is expected to provide a sustainable design method for vehicle-mounted UAVs commonly used in citizen travel and outdoor activities.