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6 results on '"Remy Houssin"'

1. Convergence and Contradiction Between Lean and Industry 4.0 for Inventive Design of Smart Production Systems

Author

Slim, Rabih, Rémy, Houssin, Amadou, Coulibaly, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Cavallucci, Denis, editor, De Guio, Roland, editor, and Koziołek, Sebastian, editor

Published
2018
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2. Prioritizing the initial problem choice in the inventive design process: Proposal of an FMEA-AHP-based method

Author

Masih Hanifi, Hicham Chibane, Remy Houssin, Denis Cavallucci, and Mohamed Abdellatif

Abstract

Today, companies are competing to improve the innovation cycle time in order to gain pioneering advantages in the market. To achieve this goal, these companies could apply the TRIZ-based systematic approaches such as Inventive the Design Methodology (IDM). Nevertheless, one of the criticisms often leveled is that these approaches are time-consuming due to the demands for building a complete map to clarify a problem situation in the initial analysis phase of the inventive design process. As a result, the Inverse Problem Graph (IPG) method has been proposed to increase the agility of the process by starting the problem formulation from an initial problem located in the lower level of a problem situation. The application of the IPG method decreases problem formulation time by identifying a limited number of problems. However, this method does not provide any tool for prioritizing the initial problems in the process. The purpose of this article is to integrate a Failure Mode Effect Analysis (FMEA) - Analytic Hierarchy Process (AHP) based method into the IPG method to prioritize the initial problems in the first phase of the design process. The proposal capability is finally tested through its application in a case study on the Lattice Structure.

Published
2022

4. Artificial Intelligence methods for improving the inventive design process, application in lattice structure case study

Author

Masih Hanifi, Hicham Chibane, Remy Houssin, Denis Cavallucci, Naser Ghannad, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Artificial Intelligence, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, Industrial and Manufacturing Engineering
Abstract

Nowadays, firms are constantly looking for methodological approaches that help them to decrease the time needed for the innovation process. Among these approaches, it is worth mentioning the TRIZ-based frameworks such as the Inventive Design Methodology (IDM), where the Problem Graph method is used to formulate a problem. However, the application of IDM is time-consuming due to the construction of a complete map to clarify a problem situation. Therefore, the Inverse Problem Graph (IPG) method has been introduced within the IDM framework to enhance its agility. Nevertheless, the manual gathering of essential information, including parameters and concepts, requires effort and time. This paper integrates the neural network doc2vec and machine learning algorithms as Artificial Intelligence methods into a graphical method inspired by the IPG process. This integration can facilitate and accelerate the development of inventive solutions by extracting parameters and concepts in the inventive design process. The method has been applied to develop a new lattice structure solution in the material field.

Published
2022

5. Problem formulation in inventive design using Doc2vec and Cosine Similarity as Artificial Intelligence methods and Scientific Papers

Author

Masih Hanifi, Hicham Chibane, Remy Houssin, Denis Cavallucci, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Artificial Intelligence, Control and Systems Engineering, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, Electrical and Electronic Engineering
Published
2022

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