In the middle of 2017 Steinbeis Papier GmbH (https://www.stp.de) chose avato consulting ag as a strategic partner for its digitization initiative under the title Industrie 4.0 @ Steinbeis Papier. In a short preparation phase the goals were defined, possible use cases evaluated and prioritized for implementation in a roadmap.
The implementation started at the beginning of 2018. The technical platform was built up, more than 25.000 sensors were integrated, and the prioritized application scenarios were implemented in several release cycles.
The project led to impressive results for the medium-sized manufacturer of sustainably produced recycled paper. These not only convinced the Steinbeis management, but also the jury of the SAP Quality Awards 2019, and the project was awarded gold in the Innovation category in mid-December (https://news.sap.com/germany/2019/12/quality-awards-2019-kundenprojekte/). The jury was particularly impressed by how the joint team of Steinbeis and avato significantly improved the production and maintenance processes within a tight time and budget frame through an intelligent and innovative use of modern technologies and with a data-driven agile approach.
In the first project phase, the focus was on optimizing the production processes and the value chain. Especially the early automated detection of unusual events and procedures in the production facilities and the production process delivers significant optimizations in yield and quality, but also helps to prevent expensive machine and plant breakdowns.
Currently, the integrated database from production and business management applications is used with the advanced analytics and machine learning tools to implement various use cases in materials management, purchasing and controlling.
The solution used at Steinbeis is based on the avato Smart Data Framework. The in-memory database SAP HANA is used to collect data from the various production and quality systems and to analyze it in conjunction with information from the MES and SAP system. In addition, various modern machine learning algorithms and IT tools are used to quickly and cost-effectively process the large amounts of data into practically usable information.
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