Connecting Business Processes and Sensor Data in Proactive Manufacturing Enterprises

  • Sobah Abbas PetersenEmail author
  • Rimmert van der Kooij
  • Primoz Puhar
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)


Real time sensor data is used often to monitor and control industrial applications. Such data is used to detect unexpected events and to take timely action to prevent industrial accidents or breakdowns. We introduce the concept of proactive sensing enterprises. The EU ProaSense project explores the use of real time sensor data and historical data to detect the likelihood of undesired events and to take proactive action to avoid undesired events and improve the resilience of the business. In this paper, we describe how enterprise modelling and process models may be used to connect the key performance indicators and business processes to data from sensors on technical components on the shop floor. We describe the benefits of connecting the business processes to sensor data and how modelling could contribute to reducing maintenance costs, improving proactive decision making and resilience in industry. An example from the manufacturing industry will be described.


Proactive maintenance Enterprise model Real-time sensor data Sensing enterprise Proactive enterprise 



The work was conducted in the EU FP7 project ProaSense. The authors wish to thank the project participants and HELLA for sharing their knowledge and example case.


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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Sobah Abbas Petersen
    • 1
    Email author
  • Rimmert van der Kooij
    • 1
  • Primoz Puhar
    • 2
  1. 1.Department of Industrial ManagementSINTEF Technology and SocietyTrondheimNorway
  2. 2.Hella Saturnus SlovenijaLjubljanaSlovenia

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