Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019)

Prognostic Approach to Equipment Maintenance as a Leading Element of Digitalization of Production Processes

Authors
Irina Reznikova, Irina Rashoyan
Corresponding Author
Irina Reznikova
Available Online 27 May 2020.
DOI
10.2991/assehr.k.200526.053How to use a DOI?
Keywords
prognostic approach, equipment maintenance, leadership, digitalization, production process
Abstract

This paper aims at analysing the advantages and disadvantages of various approaches to equipment maintenance. The advantages and disadvantages of the traditional approach to equipment maintenance and the reliability-oriented approach are considered. The purpose of the study is to attempt to analyze the application of approaches inherent in predictive analytics to the methodology of reliability-oriented equipment maintenance. The analysis proved the feasibility of using predictive analytics methods in the overall digitization of processes.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
27 May 2020
ISBN
10.2991/assehr.k.200526.053
ISSN
2352-5398
DOI
10.2991/assehr.k.200526.053How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Irina Reznikova
AU  - Irina Rashoyan
PY  - 2020
DA  - 2020/05/27
TI  - Prognostic Approach to Equipment Maintenance as a Leading Element of Digitalization of Production Processes
BT  - Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019)
PB  - Atlantis Press
SP  - 363
EP  - 369
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200526.053
DO  - 10.2991/assehr.k.200526.053
ID  - Reznikova2020
ER  -