Information modelling for variation risk management during product and process design
by Alaa Hassan, Jean-Yves Dantan, Ali Siadat
International Journal of Productivity and Quality Management (IJPQM), Vol. 2, No. 2, 2007

Abstract: Different methodologies and tools are available for the management and analysis of system dependability, safety and quality. Failure mode and effect analysis (FMEA) is a widely used quality improvement and risk assessment tool in manufacturing. Accumulated information about design and process failures recorded through FMEA provides very valuable knowledge for future product and process design, (Teoh and Case 2004). However, the way the knowledge is captured poses considerable difficulties for reuse. This research aims to contribute to the reuse of FMEA knowledge through a key characteristic (KC) approach. An information modelling for FMEA is proposed to facilitate the later reuse of the knowledge collected during an FMEA, and then it is integrated with the KC model. The models are represented in the class diagrams in the format of unified modelling language, (Booch, Rumbaugh and Jacobson 1999). The FMEA–KC model allows for management of KCs, reusing the knowledge about causalities and relations between KCs, and validation of design robustness using FMEA knowledge.

Online publication date: Sun, 11-Feb-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Productivity and Quality Management (IJPQM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com