Track 1: Information Systems in Industry

The manufacturing industry is affected by far-reaching changes driven by information technology (IT). For example, in-memory-computing untaps new opportunities to quickly and deeply analyse business and technical data ("business analytics"). Conventional business information systems supporting functional areas (such as manufacturing, product development, sales and accounting) or cross-functional business processes are increasingly being virtualized. Often, they are provided as software-as-a-service (SaaS) in the "cloud". End users access the software on-demand, using mobile devices such as tablets and smartphones.

Even technological infrastructures are available as services today, meaning that organizations do not need to continue running their own computing and data centres. System architectures have to be adapted to meet the new requirements. Outsourcing the infrastructure raises questions regarding data security, confidentiality and trust in the providers of the cloud solutions.

RFID technology opens up new options for intra- and inter-company monitoring and controlling of the flows of goods and for supply chain management (SCM). RFID is an enabler for the "smart factory" and the "Internet of things". Not only humans and computers communicate on the Internet of things, but also intelligent goods, devices and machines. The term "Industry 4.0" has been created to address the potentials of communicating objects, aiming at higher levels of effectiveness, flexibility and customization in industrial production. Products and high-value services are created and sold together. To reach the goals of Industry 4.0, standard interfaces for engineering systems (such as CAx), manufacturing execution systems (MES), machines and goods using RFID technology and sensor systems are required.

Submissions to this track are solicited that discuss innovative approaches to the challenges mentioned above. Contributions that have the potential to help shaping the digital future in the manufacturing industry are welcome. This includes the presentation und evaluation of information system prototypes. Papers addressing implications of the new developments for future research in business informatics are also solicited.

  • Integration of business information systems (e.g. ERP, SCM) and Industry 4.0
  • Future software architectures for business information systems
  • ERP on-demand, ERP-as-a-service, ERP from the cloud, mobile ERP
  • Evaluation and presentation techniques for "big data" in the manufacturing industry
  • Implications of in-memory computing for business information systems
  • Innovative approaches for logistics and manufacturing
  • Coupling manufacturing and service processes
  • Integration of social media and information systems in the manufacturing industry
  • User interfaces and user training for Industry 4.0
  • Smart factory, Internet of things, integration of RFID in business information systems
  • IT in physical products (embedded systems, smart products), cyber-physical systems (CPS)
  • Integration of customers and suppliers in industrial business processes
Track Chairs
Prof. Dr. Karl Kurbel, European University Frankfurt (Oder)
Prof. Dr. Peter Loos, Saarland University

Program Committee
Prof. Dr. Jan Aurich, TU Kaiserslautern, Germany
Prof. Dr. Wilhelm Dangelmaier, University of Paderborn, Germany
Dr. Wolfgang Faisst, SAP AG, Walldorf, Germany
Prof. Dr. Elgar Fleisch, ETH Zuerich, Switzerland
Prof. Dr. Norbert Gronau, University of Potsdam, Germany 
Prof. Dr. Bernd Hellingrath, University of Muenster, Germany
Prof. Dr. Achim Koberstein, University of Frankfurt (Main), Germany
Prof. Dr. Jorge Marx Gomez, University of Oldenburg, Germany
Prof. Dr. Peter Mertens, University of Erlangen-Nuernberg, Germany
Prof. Dr. Petra Schubert, University of Koblenz-Landau, Germany
Prof. Dr. Susanne Strahringer, TU Dresden, Germany
Prof. Dr. Leena Suhl, University of Paderborn, Germany
Prof. Dr. Klaus Turowski, University of Magdeburg, Germany
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