| 制造企业精益生产水平评价方法研究 |
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| 引用本文： | 王黎,蒋国璋,向锋.制造企业精益生产水平评价方法研究[J].科技管理研究,2018(12). |
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| 作者姓名： | 王黎 蒋国璋 向锋 |
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| 作者单位： | 武汉科技大学冶金装备及其控制教育部重点实验室;武汉大学机械传动与制造工程湖北省重点实验室 |
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| 基金项目： | 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 |
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| 摘 要： | 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,主要表现为精益化不足和精益化过度,而要做到恰到好处的精益化,准确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对企业精益生产水平的评价,建立科学、系统的精益生产水平评价指标体系,构建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模型的可靠性和有效性。
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| 关 键 词： | 精益生产 模糊理论 神经网络 评价模型 |
| 收稿时间： | 2017/9/8 0:00:00 |
| 修稿时间： | 2018/5/31 0:00:00 |
Research on evaluation method of lean production level in manufacturing enterprises |
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| Abstract: | 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. |
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| Keywords: | Lean Production Fuzzy Theory Neural Network Evaluation Model |
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