Connecting Business Processes and Sensor Data in Proactive Manufacturing Enterprises
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 enterp
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Department of Industrial Management, SINTEF Technology and Society, Sluppen, P.O. Box 4760, 7485 Trondheim, Norway {sobah.petersen,Rimmert.VanderKooij}@sintef.no 2 Hella Saturnus Slovenija, Letališka 17, 1001 Ljubljana, Slovenia [email protected]
Abstract. 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 manu‐ facturing industry will be described. Keywords: Proactive maintenance · Enterprise model · Real-time sensor data · Sensing enterprise · Proactive enterprise
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Introduction
Enterprises face high demands to keep production and operations costs low while deliv‐ ering high quality products and services. The need to deal with unexpected situations and resilience while complying with strict rules on safety aspects are a part of daily operations. The need for enterprises to anticipate what may happen in the future and proactively ensure smooth operations has become a necessity. The decisions that enter‐ prises have to make are often influenced by the situation such as their production targets or their relationship with customers, requiring a careful analysis of the situation and making trade-offs. The need for technological solutions to support such decisions are a necessity for enterprises to meet their current needs. Among these, data and sensors are seen as revolutionary technologies for businesses [1].
© IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved H. Afsarmanesh et al. (Eds.): PRO-VE 2016, IFIP AICT 480, pp. 101–109, 2016. DOI: 10.1007/978-3-319-45390-3_9
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Collaborative Networks [2] have been considered as a means of supporting a network of enterprises where enterprises can maintain their competiveness and share knowledge, resources and sometimes risks among each other. Due to the changing nature of business situations, (e.g. the recent decline in the oil industry), enterprises have begun to focus on dealing with disruptions and increasing their resilience to such changes [3]. Enter‐ prises have examined several approaches to maintaining their operations and dealing with disruptions and Collaborative Network
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