Quantitative Evaluation Model of the Quality of Remanufactured Product

Abstract

Remanufacturing is a significant process for achieving carbon neutrality. However, the existing literature shows that consumer concerns regarding the quality of remanufactured products restrict the large-scale development of the remanufacturing industry. Studies on the quantitative evaluation of the quality of remanufactured products are limited. Therefore, we propose a quantitative evaluation model of the quality of remanufactured products. Extended from the formation process of the quality of remanufactured products, the quality loss function of remanufactured parts and assemblies was constructed based on Taguchi's quality concept. Subsequently, the relationship among social loss, functional limit, and quality loss of remanufactured products was assessed. Accordingly, a quality measurement model of remanufactured products was established. Moreover, the parameter estimation algorithm based on a neural network was evaluated to deal with the dynamic changes and uncertainties of remanufacturing technology and the remanufacturing market. Finally, the application of the proposed model was demonstrated through a case study in which the quality of remanufactured engines was quantitatively evaluated. The relevance of the model was verified through market feedback. This article can provide practitioners and decision-makers with new and effective tools and insights to improve the quality of remanufactured products and reduce the cognitive gaps of customers. It is expected to accelerate the high-quality development of the remanufacturing industry.