Purpose

Smart senior care industry in China currently faces a series of practical difficulties such as an imbalance in the demand and supply structure, service products unable to cater to the actual needs of the elderly and a low degree of marketization. This study therefore proposes using grey relational analysis and the Fuzzy-quality function development (QFD) quality improvement method to help solve these problems.

Design/methodology/approach

The proposed method converts the fuzzy requirements of the elderly into the technical characteristics of technologically augmented senior care service products. It then, uses the QFD relationship matrix, combined with grey relational analysis, to analyze the relationship between the needs of elderly and the converted technical characteristics, and subsequently identifies key technical characteristics.

Findings

Results show that an improvement in the smart senior care service platform according to the differences of the elderly's preferences can significantly improve users' satisfaction with the service in addition to enhancing market competitiveness of the technologically assisted senior care service products.

Originality/value

A novel method to improve the need of smart senior care is proposed by considering age difference. The proposed grey relational analysis and Fuzzy-QFD quality improvement method can help improve the service quality of the smart senior care service platform.

中文翻译：

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基于灰色关联分析和Fuzzy-QFD的我国智慧养老服务平台质量提升

目的

我国智慧养老产业目前面临供需结构失衡、服务产品不能满足老年人实际需求、市场化程度低等一系列现实困难。因此，本研究提出使用灰色关联分析和模糊质量函数开发（QFD）质量改进方法来帮助解决这些问题。

设计/方法/方法

该方法将老年人的模糊需求转化为技术增强的养老服务产品的技术特征。然后，利用QFD关系矩阵，结合灰色关联分析，分析老年人需求与转换后的技术特征之间的关系，进而识别关键技术特征。

发现

结果表明，根据老年人的喜好差异对智慧养老服务平台进行改进，不仅可以提升科技辅助养老服务产品的市场竞争力，还可以显着提高用户对服务的满意度。

原创性/价值

考虑年龄差异，提出了一种改善智慧养老需求的新方法。提出的灰色关联分析和Fuzzy-QFD质量提升方法有助于提升智慧养老服务平台的服务质量。