Smart Quality Decision-Making Model for Mobile Assistive Devices

Abstract

With the gradual maturity of the Internet of Things environment, the collection and analysis technology of production data is continuously improved, and the improvement of product process quality and safety performance can not only increase product value but also prolong product life, in order to achieve the goal of energy-saving and waste-reducing green production. Therefore, this study used process capability indicators of important quality characteristics as evaluation tools for the manual wheelchair products and proposed a smart quality decision-making model for production data. First, we constructed an evaluation index for the important quality characteristics of the carbon fiber wheel rims to verify that each important quality characteristic can meet the required quality level. Next, based on the upper confidence limit of the evaluation index, the fuzzy decision index and fuzzy testing rules were established. In addition, the decision-making index was converted into the index observation value, and an intuitive fuzzy evaluation rule more convenient for practical application was established. Finally, we employed an easy-to-use radar evaluation chart to assess whether the index fell into the improvement range and decide whether to improve. In conclusion, this study considers the need of businesses for quick their responses to decision-making. The fuzzy testing design built on upper confidence limits can incorporate past data experience. It can still maintain the testing accuracy for small-sized samples. At the same time, it can also help enterprises pursue smart manufacturing and management and realize the business philosophy of sustainable development.