Knowledge Management methodologies for managing product data over the entire product life cycle

[Deutscher Titel: Wissensmanagementpraktiken zur Handhabung von Produktdaten entlang des gesamten Produktlebenszyklus (Text übersetzen: Deutsch)]

Nanda, J.
Product Platform Knowledge Management Using the Semantic Web Paradigm. Share, Analyze, and Optimize Both Codified and Unarticulated Product Platform Knowledge by Developing Ontologies Based on the Semantic Web Paradigm.
Vdm Verlag Dr. Müller, 2008. 200 p.; ISBN 10: 3836498847 (pbk), ISBN 13: 9783836498845 (pbk)

Abstract: The new form of competitive advantage for many companies in today’s global market place is platform-based product development and customization. For many engineered products, one of the most critical business processes is managing product data over the entire product life cycle. The design information captured by heterogeneous software systems in proprietary data structures makes it difficult to index, search, refine, reuse, distribute and browse design artifacts across different organizational information systems. In this research, simple yet innovative methodologies are developed to (1) capture and reorganize component design information as a graph model in a Networked Bill of Material (NBOM) to facilitate both linguistic and parametric design information management for a family of products, (2) represent and store design information using ontologies that promote sharing and reuse of components for integrated platform-based product development across various phases of product design, and (3) perform product family analysis of the set of products based on linguistic and/or parametric information.

Author: Jyotirmaya Nanda obtained his doctorate in Industrial Engineering with a minor in High Performance Computing at the Pennsylvania State University with Dr. Timothy W. Simpson in 2006. His research interests are in mass customization, product knowledge management, data mining, and design optimization.

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