Abstract
The development and execution of an ideal and feasible model to evaluate the maintenance management of physical assets has become a topic of great importance for the achievement of the proposed objectives. An audit allows to identify those weak points that affect the performance of the organization, in order to know the degree of maturity of the maintenance processes and take corrective actions based on opportunities for improvement. In this context, the purpose of this document is to provide an audit model flexible to the realities of each company that requires quantitative and qualitative evaluation of the current state of maintenance management. Within the model, the Network Analytical Process (ANP) was applied, to quantitatively weigh the audit criteria, and thus better understand the complex relationships that exist between each of them, in order for the decision maker to identify those areas or processes where greater control is necessary and focus efforts on processes where important gaps in maintenance management have been detected. For the validation of the audit model, it was applied in the laboratories of a university in Ecuador.
Original language | English |
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Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 521-526 |
Number of pages | 6 |
DOIs | |
State | Published - 2023 |
Publication series
Name | Lecture Notes on Data Engineering and Communications Technologies |
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Volume | 160 |
ISSN (Print) | 2367-4512 |
ISSN (Electronic) | 2367-4520 |
Bibliographical note
Funding Information:Acknowledgments. This work is supported in part by the MOST Science and Technology Partnership Program (KY201802006), and National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University and the Universidad Politécnica Salesiana through the GIDTEC research group.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Assets
- Audit model
- Maintenance management