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

Abstract

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.

KEYWORDS:

• Simulation data management
• design of experiments
• traceability
• DoE configuration

Disclosure statement

No potential conflict of interest was reported by the authors.

Acknowledgements

We present our gratitude to all consortium partners for their contribution to this research work, namely: VALEO, ALNEOS, CEA, UTC, ECN and NECS. https://sdm4doe.wordpress.com

Additional information

Funding

This work is funded by the French FUI project SDM4DOE and supported by French competitiveness clusters SYSTEMATIC and ID4CAR.