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Modern ERP systems are based on in-memory technologies and thus offer the basis for true real-time computing and, subsequently, the potential to expand functionalities in the direction of central enterprise systems. If these opportunities are combined with the Industrial Internet of Things, there are possibilities that are not yet clear today. Against this background, the research of the ERP research group deals with the digitalization of business and production processes, investigates the possibilities and limits of the use of in-memory systems in a digitalized factory by using real-time data from individual sensors to optimize decision-making processes, as well as their further use in the context of advanced analytics for real-time reporting and use as a data lake in combination of SAP HANA with other Big Data technologies.

Research interests:

  • How can companies integrate and standardize complex business processes to obtain real-time data?
  • How can companies manage to collect and analyze relevant information and make their own business decisions?
  • How can companies deal with the challenges of holistic smart digital technology and sustainable integration with business partners?
  • How can IIoT and ERP systems help manufacturing companies effectively streamline and manage daily activities?

Use Cases:

  • Integrated IIoT using SAP Leonardo as the central IoT platform
  • Integration, processing and visualization of real-time machine data in SAP
  • Implementation of SAP S/4 on HANA
  • Big Data using SAP HANA as a data lake
  • Implementation and evaluation of MES systems on-premise and cloud-based
Sergi Batalla Martinez, MBA
Head of research group "ERP & MES"; Lecturer
Herbert Kohlbacher, MSc
University lecturer; responsible for ERP systems (SAP)
DI (FH) Ernst Peßl
Lecturer; Topic responsible for MES systems
Dominic Welsh
University Lecturer
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