Abstract
The monitoring of manufacturing processes is an important issue in nowadays ERP systems. One of the most important issues is to identify and analyze appropriate data for each of the production units taking part in the process. In the paper authors introduce a new approach towards modelling the relation between production units, signals and factors possible to obtain from the production system. The main idea for the system is based on the ontology of production units. The design of the system using advanced knowledge engineering is elaborated. Since, the implementation of proposed system was one of key assumptions, the relational model is presented that ensures possibility to deploy the system in the future.
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Acknowledgements
This work has been created based on the results of the project Production Unit Performance Management Tool (PUPMT) co-financed by the European Union under the European Regional Development Fund, based on a contract between DSR S.A. and The National Centre for Research and Development in Poland. Project No. POIR.01.01.01-00-0687/17.
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Krótkiewicz, M., Wojtkiewicz, K., Jodłowiec, M., Skowroński, J., Zaręba, M. (2019). Ontological Information as Part of Continuous Monitoring Software for Production Fault Detection. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11432. Springer, Cham. https://doi.org/10.1007/978-3-030-14802-7_8
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