Abstract
This paper focusses on modelling expert knowledge resources for preventive maintenance. Expert knowledge resources are defined as those employees engaged in a company’s external maintenance who are important in the realisation of maintenance activities in the supported industries as well as those employees whose work is focussed on the application of knowledge. The aim of this work is to elaborate methods for acquiring and formalising this expert knowledge, in order to improve the manner of giving instructions via manuals, currently in use in maintenance areas. The approach presented in the form an IT tool, dedicated to the automotive industry, is implemented.
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Patalas-Maliszewska, J., Kłos, S. (2019). Modelling of Knowledge Resources for Preventive Maintenance. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_6
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DOI: https://doi.org/10.1007/978-3-319-99608-0_6
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