6 results on '"Generalized System of Contradictions"'
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2. Towards an Automatic Extraction of Generalized System of Contradictions Out of Solutionless Design of Experiments
- Author
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Dubois, Sebastien, Rasovska, Ivana, De Guio, Roland, Tan, Runhua, editor, Cao, Guozhong, editor, and León, Noel, editor
- Published
- 2009
- Full Text
- View/download PDF
3. Sequential Experimentation to Perform the Analysis of Initial Situation.
- Author
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Burgard, Luc, Dubois, Sébastien, De Guio, Roland, and Rasovska, Ivana
- Subjects
TRIZ theory ,EXPERIMENTAL design ,DATA extraction ,PROBLEM solving ,MATHEMATICAL optimization - Abstract
In this paper, an approach to combine optimization methods and methods from TRIZ will be introduced. The aim is to propose a cross-fertilization of sequential experimentations, an optimized way to build Design of Experiments and to find the best solution for a given problem, and the formulation, and of course resolution, of contradictions. The idea is to search through sequential experimentation if a solution fits all the requirements of a given specs. If it does the problem is considered solved, if not, the problem is considered an inventive one. Then methods of TRIZ can be applied. But the approach proposes an extraction of contradiction out of the sequential experimentation, as these techniques enable to limit the number of elements considered in the problem and to focus only on few but main elements describing the problematic situation. As the focusing on the few but main elements of the problem is one the key objective of ARIZ methodologies, one can consider that sequential experimentation is complementary to TRIZ based methods and that it can provide a good way to make analysis of initial situation. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
4. Integrating the Theory of Inventive Problem Solving with Discrete Event Simulation in Supply Chain Management
- Author
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Rachid Benmoussa, Ivana Rasovska, Roland De Guio, Fatima Zahra BenMoussa, Sébastien Dubois, Ecole Nationale des Sciences Appliquées [Marrakech] (ENSA), Université Cadi Ayyad [Marrakech] (UCA), Système d’information Logisti-que Productique (SyLPro), Laboratoire de Génie de la Conception (LGeco), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université de Strasbourg (UNISTRA), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-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)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-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)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Denis Cavallucci, Roland De Guio, Sebastian Koziołek, TC 5, 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, 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), and Ifip, Hal
- Subjects
Computer science ,Supply chain ,030508 substance abuse ,Discrete event simulation ,Space (commercial competition) ,[INFO] Computer Science [cs] ,law.invention ,03 medical and health sciences ,Order (exchange) ,law ,Generalized system of contradictions ,0502 economics and business ,TRIZ ,[INFO]Computer Science [cs] ,Electronics ,Algorithm for inventive problem solving (ARIZ) ,Supply chain management ,Design of experiments ,05 social sciences ,Theory of inventive problem solving (TRIZ) ,Industrial engineering ,0305 other medical science ,050203 business & management - Abstract
Part 7: TRIZ Combined with other Approaches; International audience; Supply chain challenges require not only effective management, but also a new innovative strategy to reduce costs and maximize its efficiency. Traditional problem-solving methodologies specific to the areas of supply chain management (SCM) find their limits when confronted with an inventive problem or a problem containing a contradiction. TRIZ (theory of inventive problem solving) is an effective theory for systematizing innovation and solving complex problems containing contradictions. Thus, the use of the theory TRIZ can be considered as a way to meet future challenges in SCM fields and get innovative solutions. This paper presents a method for solving supply chain problems and achieving a low-cost, based on complementarities between TRIZ and discrete event simulation and specific methods for solving supply chain problems. In the proposed model, a witness simulation model of the initial problem is developed to optimize the problem and find the system limits. Then, specific problem solving methods are applied to change the original description of problem and move towards a space in which a solution can be found. The discrete event simulation allows for experiments on the system to be created and analyzed. Thus, an experimental design was developed to establish the cause-and-effect relationships between the parameters of the system in order to formulate a generalized system of contradictions. And finally, ARIZ 85C, the most mature meta-methods of TRIZ, is used to address related contradictions for searching for an innovative solution, which must be subsequently implemented and evaluated in the discrete event simulation. The suitability of this new approach is finally proven through an industrial case study conducted in a company specialized in the manufacture of electronic devices for automobiles.
- Published
- 2018
5. Study of different principles for automatic identification of Generalized System of Contradictions out of Design Of Experiments
- Author
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Rasovska, Ivana, Dubois, Sébastien, de Guio, Roland, and Dubois, Sébastien
- Subjects
methods of data analysis ,Design of Experiments ,[SPI.OTHER] Engineering Sciences [physics]/Other ,Generalized System of Contradictions - Abstract
Problems in design of technical systems can be solved by optimization or inventive solving principles. Two representation models are studied: Generalized System of Contradictions (GSC) as inventive principle and Design of Experience (DoE) as optimisation principle. Our purpose is to improve the capacity of design problems resolution by using the both solving principles articulated to one representation model. We will show how it is possible to shift from DoE representation model to GSC representation model by using different methods. On the one side this transition can be done by the identification of Generalized System of Contradictions out of Design of Experiments based on a set of equations to resolve. On the other side methods of data analysis can be used to visualise and reorganise the DoE matrix in the form of "contradiction blocks " reflecting the set of equations. This reorganisation of representation model will be illustrated on a simple technical system.
- Published
- 2010
6. Sequential Experimentation to Perform the Analysis of Initial Situation
- Author
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Sébastien Dubois, Roland De Guio, Ivana Rasovska, Luc Burgard, Dubois, Sébastien, and G. Cascini, T. Vaneker
- Subjects
Mathematical optimization ,Computer science ,Cross-fertilization ,Design of Experiments ,Design of experiments ,[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph] ,General Medicine ,Resolution (logic) ,Sciences de l'ingénieur [physics]/Autre ,law.invention ,Cross fertilization ,law ,Optimization methods ,Key (cryptography) ,TRIZ ,Generalized System of Contradictions ,Limit (mathematics) ,Focus (optics) ,[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph] ,Algorithm ,Engineering(all) - Abstract
In this paper, an approach to combine optimization methods and methods from TRIZ will be introduced. The aim is to propose a cross-fertilization of sequential experimentations, an optimized way to build Design of Experiments and to find the best solution for a given problem, and the formulation, and of course resolution, of contradictions. The idea is to search through sequential experimentation if a solution fits all the requirements of a given specs. If it does the problem is considered solved, if not, the problem is considered an inventive one. Then methods of TRIZ can be applied. But the approach proposes an extraction of contradiction out of the sequential experimentation, as these techniques enable to limit the number of elements considered in the problem and to focus only on few but main elements describing the problematic situation. As the focusing on the few but main elements of the problem is one the key objective of ARIZ methodologies, one can consider that sequential experimentation is complementary to TRIZ based methods and that it can provide a good way to make analysis of initial situation.
- Full Text
- View/download PDF
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