Association rule mining algorithm in modeling quality activity chain based on quality cost data
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摘要: 介绍了作业质量成本的概念,提出了以作业质量成本数据为基础描述质量活动间关联关系的方法,并设定了作业质量成本之间相互影响的规则.着重研究了关联规则挖掘技术,将布尔型关联规则用于质量活动间作用关系的挖掘,并应用Apriori算法,研究了应用作业质量成本数据及其变化趋势构建基于作业质量成本的质量活动链模型的方法.该模型有助于在质量成本预测与分析过程中从经济的角度发现质量管理过程的瓶颈问题,为以质量成本分析为基础,系统地进行质量改进决策提供了有效的方法和手段.Abstract: The concept of activity-based quality cost was introduced, and the idea of describing the relationships among quality activities according to quality cost was discussed. The rules with which the activities acted on each other were defined. Because of the large amount of quality cost data, it was decided to apply the association rule mining technology to dig the relationships among quality activities. The association rule mining technology was emphasized, especially the Boolean association rules mining technology, which was used in the mining process. Applying Apriori algorithm,and using quality cost data and the trend of their changes, the model of the quality activity chain based on activity-based quality cost could be set up. This model can be used in the estimation and analysis of quality cost to find out the bottlenecks in quality management process from the economic view, and to provide effective ways to make decisions on quality improvements.
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Key words:
- correlation /
- rules /
- quality activity chain /
- data mining /
- quality cost
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[1] Christopher D Ittner. Activity-based costing concepts for quality improvement . European Management, 1999,17(5):492~500 [2] 中国标准研究中心.GB/T 19000-2000 idt ISO 9000:2000,质量管理体系标准——基础和术语[S].中国标准出版社 China National Center of Standerdization. GB/T 19000-2000 idt ISO 9000:2000,Quality management system standards—fundamentals and vocabulary [S]. Standard Press of China(in Chinese) [3] Han Jiawei,Micheline Kamber. Data mining:concepts and techniques [M]. San Francisco:Morgan Kaufmann Publishers Inc, 2000
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