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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]

Problem solving in design is one of the main studied topic of research, and especially methods for problem solving. Generally, two kinds of methods are differentiated, those dedicated to routine design, and those focused on inventive design. The authors aim at linking the two approaches and building a continuum between both. Thus they studied the link and direct extraction of contradictions out of experiments. To do so they built a generic model of contradictions, the generalized system of contradictions (GSC). This paper proposes an algorithm for identifying and extracting generalized physical contradictions (GPCs), a part of the GSC, from experiments. First, the authors' design methodology to build the continuum from optimization till invention is introduced. The notion of GSC is presented and the focus is made on the notion of GPC. This one is described through binary integer programming and an algorithm is proposed in order to identify and extract complete set of generalized technical contradictions from experiments concerning the inventive problem. [ABSTRACT FROM AUTHOR]

Abstract: To overcome limitations of the classical TRIZ model of contradiction, a generalization of the model has been defined. This Generalized System of Contradictions (GSC) has now to demonstrate its usefulness and the way it can be operated. To go forward an elicitation of a method to use this GSC, different ways to recognise and to identify it will be proposed in this article. These different ways are based on different strategies that will have to be tested by the analysing of the robustness of the resolution for each of the strategies. [Copyright &y& Elsevier]