Share Email Print

Proceedings Paper

Fault region localization (FRL): collaborative product and process improvement based on field performance
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Customer feedback in the form of warranty/field performance is an important and direct indicator of quality and robustness of a product. Linking warranty information to manufacturing measurements can identify key design parameters and process variables (DPs and PVs) that are related to warranty failures. Warranty data has been traditionally used in reliability studies to determine failure distributions and warranty cost. This paper proposes a novel Fault Region Localization (FRL) methodology to map warranty failures to manufacturing measurements (hence to DPs/PVs) to diagnose warranty failures and perform tolerance revaluation. The FRL methodology consists of two parts: 1. Identifying relations between warranty failures and DPs and PVs using the Generalized Rough Set (GRS) method. GRS is a supervised learning technique to identify specific DPs and PVs related to the given warranty failures and then determining the corresponding Warranty Fault Regions (WFR), Normal Region (NR) and Boundary region (BND). GRS expands traditional Rough Set method by allowing inclusion of noise and uncertainty of warranty data classes. 2. Revaluating the original tolerances of DPs/PVs based on the WFR and BND region identified. The FRL methodology is illustrated using case studies based on two warranty failures from the electronics industry.

Paper Details

Date Published: 17 November 2005
PDF: 8 pages
Proc. SPIE 5999, Intelligent Systems in Design and Manufacturing VI, 59990P (17 November 2005); doi: 10.1117/12.631169
Show Author Affiliations
Kamal Mannar, Univ. of Wisconsin at Madison (United States)
Darek Ceglarek, Univ. of Wisconsin at Madison (United States)

Published in SPIE Proceedings Vol. 5999:
Intelligent Systems in Design and Manufacturing VI
Bhaskaran Gopalakrishnan, Editor(s)

© SPIE. Terms of Use
Back to Top