Assisting Decisions in Inventive Design of Complex Engineering Systems

Abstract Adopting relevant decisions in engineering design of multidisciplinary problematic is often perceived as a critical issue in industry. This situation becomes even more critical when in inventive design context since decisions lead RD it doesn’t help project leaders to properly estimate the incidences of their decisions when engaging inventive activities to solve a specific problem. This paper addresses this issue and proposes an enhanced methodological process that is handling dynamic multiple graphical representations based on computed project data's exploitation. It provides relevant proofs that, in comparison with a traditional TRIZ approach, we have significantly improved the robustness of R&D decisions. In addition, we illustrate our methodology using a case study conducted in airspace industry (helicopter assembly complexity) to present and validate our hypothesis.

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