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.

中文翻译：

---

基于知识的可追溯性和模拟监控平台应用于实验过程设计：开源架构

在硬竞争的背景下，企业必须制定持续创新战略，使新产品的上市时间更短。为此，工程师必须同时提出多个解决方案，并尽可能快地对其进行测试，以减少整个开发项目的时间。在这种情况下，模拟过程在技术和方法方面的改进都具有挑战性。实验设计 (DoE) 是设计、组织和优化一组模拟和实验的科学，DOE 有助于以最少的资源和时间实现目标分析目标。本文提出了一种模拟数据管理框架，结合基于知识的方法作为 DoE 流程管理的开源解决方案。名为 SDM4DoE，