Abstract:At present, when conducting reverse logistics processing for power equipment, it is generally through auction, direct scrapping, and other forms, which fail to accurately assess the residual value of the equipment, and even evaluate the value based on the weight of raw materials, greatly underestimating the residual value of the equipment. This article systematically investigates the operation of power equipment in power enterprises, and based on a large amount of literature analysis, proposes that the value evaluation index system for reverse logistics of power equipment consists of 10 indicators including "appearance inspection", "electrical performance", "mechanical performance", "sealing performance", "operation duration", "failure rate and maintenance records", "defect rate and maintenance records", "completeness of invoices and contracts", "brand awareness", and "assembly process". Then, the entropy weight method is used to determine the weight of the indicators. On this basis, the scientificity of the model is evaluated using the actual case of China Southern Power Grid Corporation, and the results are good.