| 基于模糊神经网络的质量成本控制模型 |
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| 引用本文： | 尚珊珊,尤建新.基于模糊神经网络的质量成本控制模型[J].软科学,2009,23(12):39-44. |
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| 作者姓名： | 尚珊珊 尤建新 |
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| 作者单位： | 同济大学,经济与管理学院,上海,200092 |
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| 基金项目： | 上海市哲学社会科学课题 |
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| 摘 要： | 采用PAF模型,即质量成本由预防成本、鉴定成本、损失成本(内部损失成本和外部损失成本)组成。首先根据以往各种研究文献以及企业实际情况设置质量成本三级科目。根据历史数据对各科目做Pareto分析,找出影响质量成本的主要影响科目,然后利用统计分析中的相关分析以及偏相关分析对其进行降维,找出真正影响质量成本的科目。而后对其分析得出可控影响因素及不可控影响因素,从而从可控因素上分析得出控制方法,再根据因素分析找出其潜在影响因素。最后,利用模糊控制方法以及神经网络建立质量成本控制模型。
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| 关 键 词： | 质量成本控制模型 模糊控制 神经网络 PAF模型 Pareto分析 统计分析 |
Quality Cost Control Model Based on Fuzzy Neural Network |
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| SHANG Shan-shan,YOU Jian-xin.Quality Cost Control Model Based on Fuzzy Neural Network[J].Soft Science,2009,23(12):39-44. |
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| Authors: | SHANG Shan-shan YOU Jian-xin |
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| Abstract: | This paper adopts PAF model,which means that quality cost is composed of prevention cost,appraisal cost,failure cost(internal failure cost and external failure cost).Firstly,the paper sets the third level subject of quality cost based on literature review and the situation of enterprises.Then it does Pareto analysis according to the history data,finding out the main influential subjects.By taking use of correlation analysis and partial correlation analysis,it finds out the actual influential subjects and the controllable factors and uncontrollable factors to these actual influential subjects so that it could make some control methods and finds some potential causes by using factor analysis.Finally,by taking use of fuzzy control and neural network,it establishes a quality cost control model to facilitate automatic quality cost. |
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| Keywords: | quality cost control model fuzzy control neural network PAF model Pareto analysis statistical analysis |
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