DocumentCode
2209891
Title
Intellectual capital: utilizing the Web for knowledge management and data utilization in reliability engineering
Author
Mettas, Adamantios ; Rock, David
Author_Institution
ReliaSoft Corp., Tucson, AZ, USA
fYear
2002
fDate
2002
Firstpage
379
Lastpage
385
Abstract
Intellectual capital is one of the most important assets in successful companies. An important part of this intellectual capital is the product quality and reliability intellectual capital that is comprised of "lessons learned", corrective actions taken, best practices, data regarding customer perception and customer feedback as it relates to different products, and most importantly accurate reliability metrics on deployed parts, components and systems. Managing this knowledge, experience and information should be a high priority in both large-scale and small-scale companies. This paper presents a description of the conception and implementation of three web-based systems for the management of reliability and quality information. These are: (1) a simple internal tracking system (ITS) developed to manage customer support and anomaly tracking data for a software development company; (2) the evolution of this concept into a more complex and powerful quality tracking and management system (QTMS) capable of meeting the failure reporting, corrective action and customer support needs of both large and small companies with diverse product lines and product configurations; (3) a Web-based reliability/quality dashboard for automated analysis and presentation of the reliability and quality data captured by systems like the ITS and QTMS. The three Web-based systems presented in this paper were initially developed by and used by ReliaSoft Corporation with great success and user acceptance. This success led to subsequent modifications, adaptations and deployments of similar systems at other companies
Keywords
deductive databases; engineering computing; industrial property; information resources; management information systems; product development; reliability; Web-based reliability/quality dashboard; best practices; corrective action; customer feedback; data utilization; failure reporting; intellectual capital; internal tracking system; knowledge management; product quality; quality tracking and management system; reliability engineering; reliability metrics; Best practices; Energy management; Feedback; Knowledge management; Large-scale systems; Power system management; Power system reliability; Programming; Quality management; Software development management;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 2002. Proceedings. Annual
Conference_Location
Seattle, WA
ISSN
0149-144X
Print_ISBN
0-7803-7348-0
Type
conf
DOI
10.1109/RAMS.2002.981671
Filename
981671
Link To Document