Projects per year
The main motivation of this paper is to present solutions that gather data and knowledge and provide evidence for asset-related decision-making in various industrial maintenance tasks. In our research, identification of user needs and analyzing how their requirements could be fulfilled is in the core. We develop a proof of concept (POC), which is a practical MS Excel-solution that is based on the concept of evidence-based asset management, an approach that focuses on broad utilization of evidence from multiple information sources. Requirements for the POC were drawn from end user interviews and the results of the subsequent evaluation interviews, in which a previous version of the POC was tested. The requirements included, for instance, implementation of visual elements and the utilization of artificial intelligence. In this paper, we discuss the means to fulfill such requirements and propose a software solution. In addition, we will study the feasibility of the solution in asset management organizations from a data management perspective.
|Title of host publication||Advances in Systems Engineering|
|Subtitle of host publication||Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland|
|Number of pages||10|
|Publication status||Published - 2022|
|MoE publication type||A4 Article in a conference publication|
|Event||28th International Conference On Systems Engineering, ICSEng 2021: Online - Wrocław, Poland|
Duration: 14 Dec 2021 → 16 Dec 2021
|Series||Lecture Notes in Networks and Systems|
|Conference||28th International Conference On Systems Engineering, ICSEng 2021|
|Period||14/12/21 → 16/12/21|
- Artificial intelligence
- Asset management
- Data management
FingerprintDive into the research topics of 'Utilizing Evidence in Asset Management in the Era of Industry 4.0 and Artificial Intelligence'. Together they form a unique fingerprint.
- 1 Finished
Valkokari, P., Nyblom, J., Kortelainen, H., Hytönen, E., Purhonen, A., Valkokari, K., Pakkala, D., Saari, L., Räikkönen, M., Kääriäinen, J., Siira, E., Papakonstantinou, N., Sorsamäki, L., Takalo-Mattila, J. & Palomäki, K.
1/09/19 → 28/02/22
Project: Business Finland project