对于国内很多制造型企业,在推行精益生产时效果并不令人满意,表现为精益化不足和精益化过度,如何做到恰到好处的精益化,首先,准确的了解企业自身精益生产水平就显得非常重要。把模糊理论和神经网络技术应用于企业精益生产水平的评价,建立了科学、系统的精益生产水平评价指标体系,构建了模糊神经网络评价模型。实例分析表明网络模型的实际输出值与预测输出值相差不大,表明该模型具有较高的预测精度,测试结果进一步验证了模型的可靠性和有效性,该评价方法能够很好的对精益生产水平做出准确评价,为国内精益生产的进一步推广增添了新的指导方法。

The effect is not satisfactory in many domestic manufacturing enterprises in the implementation of lean production, showing lean shortage and lean over, first, accurate understanding of their own lean production level is very important. Fuzzy theory and artificial neural network technology are applied to the evaluation of the level of lean production. A scientific and systematic evaluation index system of lean production level is established, and a fuzzy neural network evaluation model is constructed. The example analysis shows that the actual output value of the network model and forecast the output value of the difference is very small, show that the model has higher prediction accuracy. The test results further verify the reliability and effectiveness of this model, the evaluation method can be very good to make accurate evaluation of the level of lean production, and add new guidelines for the further promotion of domestic lean production.

F270.7

国家自然科学基金 钢铁生产混合流程智能调度及其知识网系统的研究 (71271160) 蒋国璋