Supplier Evaluation of Marine Diesel Engine Manufacturers Based on GA-BP Neural Network

According to the characteristics of high procurement cost and large number of suppliers for marine diesel engine manufacturers, and the indicators are too single for the relevant suppliers in the evaluation of suppliers, the evaluation method is too subjective, which make it difficult to develop a comprehensive and objective evaluation of suppliers. On the basis of the questionnaire survey, the factor analysis method was used to screen the selected indicators, and a supplier evaluation index system suitable for marine diesel engine manufacturers was constructed. The BP neural network and genetic algorithm are combined to establish a GA-BP neural network based supplier evaluation model. The effectiveness of the model in the evaluation of supplier of marine diesel engine manufacturing enterprises is verified with an example.