Selection of an IoT Platform: A Framework for a Two-Stage Multi-Criteria Decision Making Process


연구 분야: Verification



학회: ICCTA '22: Proceedings of the 2022 8th International Conference on Computer Technology Applications


초록

Internet of Things (IoT) is one of the main enablers of industries’ digital transformation. IoT platforms have become essential parts in IoT architectures to enable the generation of added value from gathering data on the field level. A big variety of products and solutions are available on the market. However, industries, IoT applications, and IoT architectures differ considerably regarding their requirements in functionality and scale. The selection process thus poses major challenges for industrial companies. Several sets of criteria have been presented in literature, but there is still a lack of methods and tools for a practical individual selection process. This paper provides a framework for an individual two-stage selection process based on a multi-criteria assessment. This allows companies firstly to weight the given set of criteria according to their individual needs and secondly, to follow a two-stage assessment including an interview-related part and a practical evaluation. Additionally, the paper shows first validation results based on the selection process for an IoT platform for the Institute’s research and learning factory, the Smart Production Lab.


Author Profile
Barbara Mayer

Industrial Management FH JOANNEUM Austria

Austria
Author Profile
Katharina Maria Lackner

Industrial Management FH JOANNEUM Austria

Austria

📄 논문 정보

발행 연도 2022년
인용수 3
출판 국가 Austria
사이트 ACM
좋아요 수 0

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