SimPlan participates in research on knowledge extraction from simulation data
At the beginning of 2020, the partners involved in the research project “DaWIS” started their work: SimPlan AG as consortium leader, the Department of Information Technology in Production and Logistics at Ilmenau University of Technology, and the Munich-based C-P-S Group and Maschinenfabrik Rheinhausen as pilot and future end users. The goal is to develop an integrated solution for data farming, or knowledge discovery in simulation data, within two years and to transfer it as directly as possible into practice.
“At its core, the aim is to detect hidden cause-effect relationships, evaluate them and thus generate new knowledge that can be transferred internally within the company, but also externally, and strengthen the organization’s market position. To do this, we use so-called data farming to analyze result data from a previously validated simulation model,” explains Dr. Sven Spieckermann, CEO of SimPlan AG. “The potential goes far beyond what standard academic case studies in the fields of production and logistics have been able to unearth so far.” Instead, methods of “smart” experiment design will be evaluated and implemented, procedures for cloud-based distribution of experiments will be developed, and suitable data mining and visual analytics strategies will be specified. The results presentation is scheduled for January 2022. It will also include initial empirical data that the pilot users from industry have gathered in practice to date. In addition, SimPlan plans to connect the platform created in the course of the project work to “SimAssist” in the future, a modular software for simulation users that serves to manage, analyze, visualize and document data.