CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

A Measure of the Information Loss for Inspection Point Reduction

Kristina Wärmefjord (Institutionen för produkt- och produktionsutveckling, Produktutveckling) ; Johan S Carlson ; Rikard Söderberg (Institutionen för produkt- och produktionsutveckling, Produktutveckling)
Journal of Manufacturing Science Engineering (1087-1357). Vol. 131 (2009), 5,
[Artikel, refereegranskad vetenskaplig]

Since the vehicle program in the automotive industry gets more and more extensive, the costs related to inspection increase. Therefore, there are needs for more effective inspection preparation. In many situations, a large number of inspection points are measured, despite the fact that only a small subset of points is needed. A method, based on cluster analysis, for identifying redundant inspection points has earlier been successfully tested on industrial cases. Cluster analysis is used for grouping the variables into clusters, where the points in each cluster are highly correlated. From every cluster only one representing point is selected for inspection. In this paper the method is further developed, and multiple linear regression is used for evaluating how much of the information is lost when discarding an inspection point. The information loss can be quantified using an efficiency measure based on linear multiple regression, where the part of the variation in the discarded variables that can be explained by the remaining variables is calculated. This measure can be illustrated graphically and that helps to decide how many clusters that should be formed, i.e., how many inspection points that can be discarded.

Nyckelord: inspection, cluster analysis, variable reduction, regression, information loss



Denna post skapades 2009-10-21. Senast ändrad 2016-05-17.
CPL Pubid: 100441

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för produkt- och produktionsutveckling, Produktutveckling

Ämnesområden

Matematisk statistik
Produktionsteknik

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:


Variation Control in Virtual Product Realization - A Statistical Approach