Technological Model for the Development of a Predictive Maintenance System for Microenterprises

Abstract

In Mexican micro and small companies, it is common to find a series of problems related to the lack of adequate maintenance systems, which generates high costs, unproductivity, equipment with limited useful life and insufficiently trained personnel. These problems arise due to carelessness, misuse, and lack of maintenance in equipment and machinery, which, if not properly addressed, can negatively impact operational efficiency. However, the implementation of a predictive maintenance system can prevent these difficulties, as it allows for the early identification of possible failures through continuous monitoring of the operating conditions of the equipmen Predictive maintenance, based on statistical techniques and specialized analysis such as vibrations, thermography, ultrasound and oil analysis, is an effective tool to improve efficiency and extend the life of equipment. However, due to a lack of resources and knowledge, this type of maintenance is often limited to large companies. This article proposes an accessible and efficient technological model for the implementation of predictive maintenance in microenterprises, with the aim of reducing operating costs, improving productivity and maximizing equipment availability. The model developed seeks to offer a practical and economical solution, adapted to the conditions of small companies, contributing to their competitiveness in the market.