For the last decades quality assurance in production has been reactive -needing well-structured data and fixed modelling. Statistical Methods, normative Standards and Performance Indicators are focused on ensuring process capability with rule-based analytics. In sequel production systems are often running in a non-optimal operating point to ensure stable process results accepting increased ressource consumption or overcapacity. As a result production is not resilient to changing circumstances and not sustainable regarding ressource input. IconPro tackles this paradigm by applying Machine-Learning Technologies to unstructured Production Data – to enhance a learning and optimized production for the user.
We make production more productive and resilient, since we identify optimization potentials in our customer’s production and quality processes. Data is extracted from programmable logic controllers or central databases and analyzed using ML. The Software Solutions allow the prediction of process and product quality - so the user can act instead of just react. Basic to this are adaptable database structures, a decentralized infrastructure and the development of performant algorithms bridging ML-Methods and Domain Expertise in Production. IconPro Software is able to automatically process any kind of production data (specially developed Auto-ML) to extract information on process correlations. These information can in the sequal be used for prediction of future process status (Predictive Maintenance Apollo) and to improve the process itself (Predictive Quality ARES). Our solutions result in more repeatable, transparent and efficient processes in production– resilient to disturbances.
The technology, especially in combination with our business model (concrete consulting to development of intuitive software) has a big potential in the field of production technology. The bridging role between AI-based technological possibilities, named concrete problems and domain expertise is not well covered in the market. IconPro software solutions result in predictable, transparent and redilient processes in production. Each Software-Solution can be deployed in Cloud (SaaS) and on premise.