ESTRATÉGIA DE MANUTENÇÃO PRESCRITIVA: um estudo aplicado às Máquinas de Chave da Estrada de Ferro Carajás

Abstract

Maintenance model management, especially in the business sector, represents a major challenge nowadays. Developing asset management strategies that maximize the results is a key factor in achieving competitiveness and process sustainability. In this context, the opportunity of new technologies use arises such as: Business Intelligence tools, statistical analysis software, predictive model building applications and other advanced analytical resources, in systems that involves data analysis and successive decision making. This study aims to elaborate an analysis on the transition of the maintenance strategy of Carajás Railroad switch machines, presenting the context of the technological solutions that were implemented and leads the development of a prescriptive maintenance model. Its development is based on exploratory data research and its methodology is based on the accomplishment of an applied case study. In the set of analyzes presented, this study is categorized as an applied research, as it provides knowledge that can be used in practical solutions of problems in related areas. To this end, solutions were developed in reliability area and management of electronics equipment, which made it easier to migrate from a preventive maintenance strategy - based on calendar date, to a prescriptive model, based on conditional criteria, specifically for switch machines studied. To improve the understanding of the main problems of these devices, an analysis of their most common failures is presented. As results of the study, the benefits and perceptions provided by the application of the discussed technologies are shown, with tangible gains in the prevention of failures and reduction of operational losses, turning the decision-making process more dynamic and assertive.