Title: Ontology based metrics – applying business intelligence on PLM

Authors: Axel Hahn, Stephan Grosse Austing, Jan Strickmann

Addresses: Carl-von-Ossietzky-University, Department of Computer Science and Business Information Systems, Ammerlaender Heerstrasse 114-118, Oldenburg 26129, Germany. ' Carl-von-Ossietzky-University, Department of Computer Science and Business Information Systems, Ammerlaender Heerstrasse 114-118, Oldenburg 26129, Germany. ' Carl-von-Ossietzky-University, Department of Computer Science and Business Information Systems, Ammerlaender Heerstrasse 114-118, Oldenburg 26129, Germany

Abstract: In this paper, we are proposing an ontology-based approach to use the information base of PLM systems to support project analysis and management of development processes. At first, we will give a quick overview of generic engineering processes and involved IT systems followed by an analysis of identified pitfalls and shortcomings. This paper however is focussed on presenting meaningful metrics for the evaluation of PLM data in a project management context based on a semantic integration model. After giving a short oversight of semantic web technologies, we will introduce our approach based on these techniques. We use semantic maps to translated technical information supplied by a PLM system into meaningful key figures to bridge the gap between technical and organisational data. Then we introduce PERMETER, a |semantic radar system| to pierce the thick mist of product complexity using ontologies and metrics. We will conclude with a summary and an outlook on further activities.

Keywords: metrics; ontology; semantic web; PLM; project lifecycle management; business intelligence; project analysis; product development; project management.

DOI: 10.1504/IJPLM.2008.027008

International Journal of Product Lifecycle Management, 2008 Vol.3 No.4, pp.308 - 318

Published online: 12 Jul 2009 *

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