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Strasbourg, France

Cavallucci D.,Laboratory LGeCo | Rousselot F.,Laboratory LGeCo | Zanni C.,Laboratory LGeCo
CIRP Journal of Manufacturing Science and Technology | Year: 2010

In current design processes supported by R&D department in companies, thorough analyses of all possible dimensions that are linked with the problem and the past experiences developed in the problem domain represents an important stage (sometimes called " problem definition" or " problem formulation" ) often neglected by designers. This stage, mainly what we call the initial situation analysis (ISA) in this paper, is obviously located at the early stages of a project. Designers' expectations during this stage are to rapidly gather all the potential information useful to precisely describe the problem and to collect and synthesize known solutions from experiences prior to engaging the following design stages. The aim of this article is to develop a methodology for conducting an ISA stage, namely a problem graph. This methodology can be used to complete existing methods or to be added to classical design process as a first step. An example conducted in the metallurgy process area is used to illustrate the proposed methodology. © 2010 CIRP. Source

Cavallucci D.,Laboratory LGeCo | Rousselot F.,Laboratory LGeCo | Zanni C.,Laboratory LGeCo
Competitive Design - Proceedings of the 19th CIRP Design Conference | Year: 2014

One of the first tasks designers are facing is the gathering of all potentially interesting information for understanding an initial situation. Its main objective is the drawing of a problem statement and the understanding of all future difficulties their project will face with. In this paper, we consider the problem of highlighting challenges within an inventively oriented design process, based on expert questioning procedures. Our intentions are to obtain a list of clearly formulated contradictions in the sense of TRIZ. In addition, we wish to minimize expert's time solicitations while guaranteeing that the highlighted inventive challenges have been exhaustively identified. © Cranfield University 2009. Source

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