Production Efficiency Evaluation Method Based on BP Neural Network
With the rapid development of a new generation of information technology,the demand for intel-ligent transformation of aviation manufacturing is becoming more and more intense.However,in the process of digital and intelligent transformation of production lines,there is a lack of scientific production efficiency evaluation means,which makes it difficult to accurately identify the manufacturing weak links.To face this serious challenge,this paper proposes a production efficiency evaluation method based on Back Propagation neural network.First,a production efficiency evaluation system is constructed to ana-lyze the key factor indicators affecting the production efficiency and select and quantify a suitable set of metric elements.Then,based on the target parameters of production cycle and production quality,BP neu-ral network is introduced to construct the historical data set training to form the production efficiency eval-uation model.Finally,experiments on the production effectiveness evaluation model using actual manufac-turing data validate the effectiveness and scientificity of the method proposed in this paper.
production efficiency analysisevaluation systemBP neural networkquantitative evaluationintelligent manufacturing
万方数据
维普
