Generalized growth decision based on cascaded failure information: Maximizing the value of retired mechanical products

Abstract

Remanufacturing can bring substantial environmental benefits by reducing process consumption and resource waste. It has been proved to play an essential role in solving environmental pollution and waste of resources. In the machinery industry with excessive resource consumption, a large number of retired products will be produced during industrial transformation and upgrading. Therefore, remanufacturing and reuse are vital to clean production. Current remanufacturing studies mainly aim at structural recovery and performance improvement, which fail to systematically study the growth laws and generalized reuse features of retired mechanical products. The growth law of retired products is analyzed based on structural and failure features. Therefore, this study will focus on how to establish an appropriate generalized growth decision scheme based on product structure and failure features. Firstly, based on the theory of polychromatic sets, this paper analyzes the failure features of various parts of retired mechanical products and establishes a cascaded failure network according to the product hierarchy. Secondly, through the combination of three-way decision and the technologies for order preference by similarity to an ideal solution (TOPSIS), the generalized growth mode of each component is determined step by step from the bottom, and the generalized growth decision is made from the top. Finally, through the research on the generalized remanufacturing of the first stage gearbox, the generalized growth level of the gearbox is the top-level component level. It reduces the waste of resources and energy consumption caused by the traditional unified part level material recycling, and conforms to the actual production, and verifies the feasibility of the generalized growth features and remanufacturing decision-making scheme, which has excellent guiding significance.