Aplicação da gestão de custos no monitoramento do desempenho de um programa preditivo de análise de vibração em motocompressores de gás natural

Abstract

Predictive techniques help to determine the best time to perform of intervention in the equipment, maximizing the useful life of the components and identifying deviations in the behavior of its state of functioning avoiding failures and interruption of production. However, these are projects that need investments in human resources, financial in acquisition of assets that burden the maintenance process, making resistance to implementation of the same. The purpose of this work is to demonstrate the use of tools from cost management to prove economic viability an equipment condition monitoring program based on vibration analysis and its performance. The methods and decision criteria in the analysis and evaluation of capital investment. As results are determined the ROI, NPV, IRR and PAYBACK. It is confirmed that the predictive strategy funding presents an opportunity cost with gain greater than an investment in an income-based investment fund in the SELIC rate and the break-even point of the number of analyses, with the costs saved by them in order to reach the established goal of the program. Through the values ​​found by the methods applied, it is attested that the costs and efforts made for the operation of the plan are gratified by the feedback and performance of the vibration analysis predictive application within a time convenient for its sponsors.