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Parameter network as a means for driving problem solving process

Driving problem solving process in R&D departments rely on a long historical set of experiences gained through practices, methods acquisition and continuous improvement. This improvement always needs to be enhanced by integrating new paradigms in accordance with global industrial situation. This situation is currently turned towards innovation concerns and among other imposes R&D departments to improve the robustness of their decisions. We propose to demonstrate how R&D choices can be driven by representing problems through a parameter network and extract from this parameter network a set of key contradictions to be solved to drive R&D decisions inventively.