Evaluation of criteria for the selection of maintenance models using Topsis
DOI:
https://doi.org/10.61273/neyart.v3i4.113Keywords:
Asset management, Decision making,, Productivity, Industrial maintenance, TOPSISAbstract
Efficient industrial maintenance management is a key pillar in ensuring the effective operation of machinery and equipment in production environments. In this context, the strategic selection of the maintenance model to be used becomes a critical challenge, directly affecting the reliability, availability, and overall performance of industrial assets. The main objective is to develop a tool that simplifies and refines the process of selecting the appropriate maintenance model for the processes and machines involved in the selection. The tool will be developed by considering key variables such as equipment costs, recurrence of failures, comparison of expenses related to failures, preventive or predictive interventions, and more. In addition, the models will be validated by analyzing correlations between the model and these factors for different types of machines and equipment in various processes, to strengthen the data accuracy. Using the developed tool, the expected outcomes include a significant reduction in expenses, labor, and materials, as well as a significant increase in maintenance availability and effectiveness (Autonomous, Preventive, Predictive, and Failure-based maintenance). This will demonstrate the substantial impact of proper model selection. Effective management of maintenance model selection through interaction with various factors ensures successful implementation and enables benefits in multiple categories, improving key performance indicators and the reliability of equipment within company operations.
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Copyright (c) 2025 Martin Pillado Portillo , Rosa María Reyes Martínez , Christian Reyes Córdova , Eduardo Rafael Poblano Ojinaga , Manuel Alejandro Barajas Bustillos

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