Abstract
The exploitation of Internet-of-Things technologies is continuously raising and the number of platforms increasing all the time. Companies are developing new Industrial Internet based business or service models by using IoT platforms as a backbone infrastructure. At the moment companies are already adding connectivity features to new machines, vehicles and other product models. Next step is the exploitation of collected and analysed real-time data to support profitable business and efficient operations. The first challenge companies are facing, when considering the exploitation of industrial internet solution, is choosing the suitable IoT platform to serve their business purposes. This paper presents the business and technical perspective based approaches for evaluating IoT platforms for asset management purposes. Furthermore, the paper presents an example case study of evaluating IoT platforms to support asset management research. The aim of the case study was to identify essential issues that must be noticed and to specify the requirements which the selected platform must meet to enable efficient asset management. This paper presents the results relating to the requirements and selecting the most suitable platform for asset management applications in service businesses.
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© 2016 Springer International Publishing Switzerland
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Backman, J., Helaakoski, H. (2016). Evaluation of Internet-of-Things Platforms for Asset Management. In: Koskinen, K., et al. Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-27064-7_9
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DOI: https://doi.org/10.1007/978-3-319-27064-7_9
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