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Feature selection methods for root‐cause analysis among top‐level product attributes
Quality and Reliability Engineering International ( IF 2.2 ) Pub Date : 2020-08-19 , DOI: 10.1002/qre.2738
Alexander Detzner 1, 2 , Martin Eigner 2
Affiliation  

Manufacturing companies not only strive to deliver flawless products but also monitor product failures in the field to identify potential quality issues. When product failures occur, quality engineers must identify the root cause to improve any affected product and process. This root‐cause analysis can be supported by feature selection methods that identify relevant product attributes, such as manufacturing dates with an increased number of product failures.

中文翻译:

在顶级产品属性中进行根本原因分析的特征选择方法

制造公司不仅努力提供完美无瑕的产品,而且还监视现场的产品故障以识别潜在的质量问题。当产品出现故障时,质量工程师必须确定根本原因,以改善任何受影响的产品和过程。可以通过特征选择方法来支持此根本原因分析,这些特征选择方法可以识别相关的产品属性,例如制造日期增加且产品故障数量增加。
更新日期:2020-08-19
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