Using FactoryML for Deployment of Machine Learning Models in Industrial Production

This is the authors' abstract. We don't add key points for this paper.

This paper presents the FactoryML framework that simplifies the deployment and integration of Machine Learning (ML) models in manufacturing factory environments. FactoryML facilitates packaging of ML models into a portable format and it facilitates the communication of deployed ML models in factory environments via Programmable Logic Controllers. In general FactoryML reduces the barrier to take learned models from a research and development side into an operational setting. The value of FactoryML has been demonstrated in a case study with a Danish company as well.