Reliability of feedback fechanism based on root cause defect analysis - case study
Abstract
The case study presented in this article focuses on the common pitfall in which many defect prevention activities fall, caused by inconsistency of data. Before any collected Root Cause Defect Analysis (RCA) data can be used reliably, an analysis of the variation due to the measurement system itself such as a Gauge R&R study, should be performed. This allows to understand of the integrity of the data in terms of data consistency and validity. The RCA data collection process chosen for this case study concentrates on the RCA assessment performed by engineers independently.
Full Text:
PDFDOI: http://dx.doi.org/10.2478/v10065-011-0037-0
Date of publication: 2011-01-01 00:00:00
Date of submission: 2016-04-28 09:04:53
Statistics
Total abstract view - 377
Downloads (from 2020-06-17) - PDF - 0
Indicators
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 Annales UMCS Sectio AI Informatica
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.