Carbone, Paolo and Macii, David and Petri, Dario (2004) Management of Measurement Uncertainty for Effective Statistical Process Control. UNSPECIFIED.
![[img]](http://eprints.biblio.unitn.it/style/images/fileicons/application_pdf.png)
| PDF Download (262Kb) | Preview |
Abstract
In the context of quality assurance strategies, statistical process control techniques and conformance testing are necessary to perform a correct quality auditing of process outcomes. However, data collection is based on measurements and every measurement is intrinsically affected by uncertainty. Even if adopted instruments are in a condition of metrological confirmation, random and systematic measurement errors can not be completely eliminated. Moreover, the consequence of wrong measurement–based decisions can seriously decrease company profits because of larger repairing and shipping costs, as well as for the loss of reputation due to customers’ dissatisfaction. This paper deals with a theoretical analysis aimed at estimating the growth in decisional risks due to both random and systematic errors. Also, it provides some useful guidelines about how to choose the Test Uncertainty Ratio (TUR) of industry–rated measurement instruments in order to bound the risk of making wrong decisions below a preset maximum value.
| Item Type: | Departmental Technical Report |
|---|---|
| Department or Research center: | Information Engineering and Computer Science |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885 Computer Engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5 Computer Networks T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Uncontrolled Keywords: | Measurement uncertainty, systematic error, random error, Test Uncertainty Ratio, control charts, conformance testing |
| Report Number: | DIT-04-053 |
| Repository staff approval on: | 02 Aug 2004 |
Actions (login required)
| View Item |
