Research

New economic and technological concepts help organisations maintain long-term competitiveness. Recognizing this, our research department evaluates specialist and technological developments and their effects on diverse sectors, on company management and also on IT support for business processes.

Working together with colleagues from specialist areas, or in discussion with experts from our sister companies in Scheer Holding, new ideas are created for consultancy products and services that, in the medium to long term, find their way into the Scheer service portfolio.

Innovation is created in co-operation that goes beyond company boundaries. Therefore we work together in the research environment with companies renowned in the economy and with research institutes and professors.

Research projects

Research in Scheer GmbH supports the early detection of technical and organisational innovations. The themes identified are implemented prototypically within the framework of research projects conducted in collaboration with numerous co-operation partners. The findings of these projects flow into the development of our software and consultancy products and help to strengthen our position in the market.

OpenServ

Like the Guided AL project, the joint project Open Serve 4AP is one of 15 projects supported by the Support Program Smart Service World. In respect of Industry 4.0, the Federal Ministry for Economics and Energy (BMWi) wishes to make a significant contribution to the German economy’s understanding of digitization as an opportunity and that it is creatively used.

The consortium is built around the Munich company Salt Solutions GmbH along with the companies Sick AG, Sick Stegman GmbH, BSH Household Appliances, software4production GmbH and Scheer GmbH. On the scientific side the project is being supported by the Fraunhofer IWU, project group RMV in Augsburg.

Occupying centre space within the research aims of the OpenServ4 project is the development of a platform for internet based services in the area of cyber-physical production systems. To this end, technical and architectural pre-requisites are needed to be able to offer risk analysis and predictive maintenance, based on CPPS industrial online process controls via sensor and event-based data processing algorithms, as a “service” for the independent and flexible reaction of production plant to changes in environmental conditions. The focus herein lies on integrated sensors which deliver the data for the required services. For this reason the simplified integration of sensor systems in production processes, real-time enabled data capture, processing and transfer as well as measurement methods for applications in the area of CPPS are being addressed.

PolyEnergyNet

The PolyEnergyNet project – resilient poly-networks for the secure delivery of energy is being supported by the Federal Ministry for Economics and energy.

The consortium built around the public utility company Stadtwerke Saarlouis GmbH and Scheer GmbH also includes the following companies: B.A.U.M Consult GmbH, [ui!] – the urban institute , VOLTARIS GmbH and VSE Verteilnetz GmbH. From a scientific viewpoint the project is being supported by German Research Centre for Artificial Intelligence (DFKI), the Karlsruhe Institute for Technology (KIT), the Technical University of Berlin and the Technical University of Darmstadt.

The aim of the project is the research and model realization of resilient local networks. These are characterized by a robust network operation that can react to volatility in the feed-in of decentralized renewable energy sources as well as to unforeseen events and cyber-attacks. PolyEnergyNet’s main interest is in the creation and use of a suitable information base that enables the recognition of conditions critical to the network, and their subsequent correction. In addition, the continued emergency supply of energy (as widely as possible), or respectively the quarantining of parts of the network, should be possible until a re-incorporation into the entire system can be executed.

If it can be shown, the benefits of the project lie in the possibility of controlling the local network in extreme situations, and that the necessary instruments are available to ensure cost-effective operation of the network. In this respect, PolyEnergyNet will be a show-case example of how the “traffic light model” outlined by BDEW can be implemented in practice.