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Supporting Cost Saving Ideas Reuse With an Ontology Based Tool

[+] Author Affiliations
Sandrine Angéniol, Bernard Yannou

Ecole Centrale Paris, Châtenay-Malabry, France

Barthélémy Longueville, Roland Chamerois

EADS Corporate Research Center France, Suresnes Cedex, France

Mickaël Gardoni

INPG-ENSGI, Grenoble, France

Paper No. DETC2006-99432, pp. 135-144; 10 pages
doi:10.1115/DETC2006-99432
From:
  • ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 4a: 18th International Conference on Design Theory and Methodology
  • Philadelphia, Pennsylvania, USA, September 10–13, 2006
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4258-4 | eISBN: 0-7918-3784-X
  • Copyright © 2006 by ASME

abstract

The efficiency of Target Cost Management (TCM) methods within the design process (i.e. Target Costing and Design to Cost) relies among other things on actors’ creativity in cost saving ideas proposals. This paper proposes a tool to support creativity in Aeronautics through past cost saving ideas reuse: OSIRIS (Optimiser for Saving Ideas Reuse & Information Sharing). This study is based on a repository of 500 cost saving ideas proposed on the latest wide-body aircraft developed by a European aeronautic company. Among approaches considering design reuse (e.g. Ideas management system, Case Based Reasoning, Knowledge management and TRIZ), there is no simple method, suitable to our needs and context, enabling indexing of ideas, their retrieval and their reuse. In this paper, we propose a new specific approach for idea reuse based on a problem-solution knowledge model. This model has been implemented using semantic web (SW) technologies to enable advanced search and reasoning on ideas description. The case of a specific cost saving idea is presented to illustrate the knowledge model and tool’s functionalities. OSIRIS is a flexible tool that enables ontology based search and that allows users to enrich information through inference rules definition.

Copyright © 2006 by ASME
Topics: Ontologies

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