Knowledge-based platform for traceability and simulation monitoring applied to design of experiments process: an open source architecture

• Farouk Belkadi ^[1] ; Julien Le Duigou ^[2] ; Luca Dall'Olio ; Gilles Besombes ; Alain Bernard ^[1]
  1. [1] Ecole Centrale de Nantes

     Ecole Centrale de Nantes

     Arrondissement de Nantes, Francia

     
  2. [2] University of Technology of Compiègne

     University of Technology of Compiègne

     Arrondissement de Compiègne, Francia

     
• Localización: Journal of Engineering Design, ISSN 0954-4828, Vol. 30, Nº. 8-9, 2019, págs. 311-335
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • In the context of hard competitiveness, companies have to elaborate continuous innovation strategy enabling the proposition of new products with a shorter time to market. To do so, engineers have to propose several solutions at the same time and to test them as faster as possible to reduce the whole development project time. In this context, the improvement of simulation process on both technical and methodological aspects is challenging. Design of experiments (DoE) is the science to design, organise and optimise a set of simulations and experimentations for DOE helps to reach the target analysis objectives with a minimum of resource and time. This paper proposes a simulation data management framework combined with a knowledge-based approach as an open source solution for the management of DoE process. Named SDM4DoE, the aim of this framework is to improve the performance of the engineering process through traceability, decision-making assistance and automatic monitoring of the whole computation chain.