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Toward a customized multicriterion tool for product evaluation in the early design phases: the CMDET methodology

Article dans une revue avec comité de lecture
Author
AUDOUX, Kévin
247362 École normale supérieure - Rennes [ENS Rennes]
127758 Laboratoire Conception de Produits et Innovation [LCPI]
SEGONDS, Frédéric
127758 Laboratoire Conception de Produits et Innovation [LCPI]
175453 Arts et Métiers ParisTech
301320 École Nationale Supérieure d'Arts et Métiers [ENSAM]
KERBRAT, Olivier
247362 École normale supérieure - Rennes [ENS Rennes]
441569 Centre National de la Recherche Scientifique [CNRS]
528860 Université de Rennes [UNIV-RENNES]
25157 Laboratoire de Génie Civil et Génie Mécanique [LGCGM]
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
AOUSSAT, Améziane
127758 Laboratoire Conception de Produits et Innovation [LCPI]
175453 Arts et Métiers ParisTech
300351 Conservatoire National des Arts et Métiers [CNAM] [CNAM]
301320 École Nationale Supérieure d'Arts et Métiers [ENSAM]
303092 Arts et Métiers Paristech ENSAM Aix-en-Provence

URI
http://hdl.handle.net/10985/17984
DOI
10.1007/s12008-019-00549-8
Date
2019
Journal
International Journal on Interactive Design and Manufacturing

Abstract

Owing to an increase in requirements and a reduction in time to market, evaluation phases have become particularly crucial steps in the design process, specifically during the early design stages. New domains of expertise are constantly being added to design processes, and the performance evaluation tools that are currently available are too heterogeneous to be used together. The differences mainly concern performance domains, which rely on different types of data. It is therefore necessary to create a methodology for merging compatible tools (i.e. usable during the same phase of the design process) and establishing the most appropriate form of evaluation. In this paper, we begin by describing the Creation of MultiDisciplinary Evaluation Tool methodology. This takes place in four stages: the analysis of existing tools, followed by their evaluation, selection and merger. This methodology will help designers create multicriterion evaluation tools that are tailored to their needs. We then report a case study involving the design of a sustainable and innovative product for additive manufacturing, where the characteristics of each domain were taken into account.

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