Lean-Oriented Framework for Resource Allocation in Wearable Wellness Device Development
A new study published in the journal Nature has introduced a lean-oriented Kano-QFD framework for hierarchical resource allocation during the development of passive wearable wellness devices (PWWDs). The framework aims to address the risk of over-engineering in the early stages of product development.
The researchers, led by Zhou, Liu, and Wang from the Faculty of Innovation and Design at City University of Macau, developed the framework to help manufacturers prioritize resource allocation based on customer requirements and engineering characteristics. The framework combines the Kano model, which classifies customer requirements, with the Quality Function Deployment (QFD) method, which translates these requirements into technical weights.
The study used a multisensory aromatherapy wearable accessory as a case study to test the framework. The results showed that the framework was able to identify high-priority engineering characteristics, such as shape-style compatibility, overall net weight, and design symbol application rate, which are essential for the development of PWWDs.
Compared to traditional Pareto analysis, the framework retained the same lower-end engineering characteristics while further dividing the priority set into high- and intermediate-priority tiers. This suggests that the framework can provide more nuanced and accurate resource allocation decisions.
The study's findings have significant implications for the development of PWWDs, which are becoming increasingly popular in the market. By addressing the risk of over-engineering, manufacturers can ensure that their products meet customer needs while minimizing waste and reducing development costs.
The research was funded by the China National Arts Fund Talents Training Program and is published in the journal Nature.
