Building an indicator system of collaborative logistics performance oriented manufacturing industry using the Balanced Scorecard, this paper puts forward20 evaluation indicators from five aspects, the level of information, business process, finance, customer service ability, learning and development which builds the model of collaborative logistics performance oriented manufacturing industry based on AHP and BP neural network. The model makes analysis with AHP on collaborative logistics performance indicators for Wen ling automobile and motorcycle manufacturing industry and treats the AHP evaluation results as the training and testing data which will be input into network model to train and simulate test. The results show that the evaluation method of collaborative logistics performance oriented manufacturing industry based on AHP and BP neural network is reasonable and feasible. It is worthy of spreading in the related field of the performance evaluation