FAILURE FORECASTING - INTELLIGENT SOFTWARE AGENTS IN THE CONTEXT OF INDUSTRY 4.0

Abstract

The forecasts of the maintenance tasks allow the evaluation in case of troubleshooting and the volume of spare parts that must be provided in case of random failures. Artificial Intelligence and Machine Learning enable manufacturing companies to take full advantage of the volume of information generated not only within the company, but also across their business units and even from partners and third-party sources. Real-time prediction prioritizes the requests necessary to predict possible errors, but this method is a substantial consumer of resources, requiring highperformance technological equipment. Software agents represent a new paradigm in Artificial Intelligence and Industry 4.0. Prediction involves finding appropriate means and methods to contribute to the anticipation of possible defects, taking into account the existing vulnerabilities, as well as the periods in which the system will be prone to malfunctions. This study aims to develop an applied methodology on predictive algorithms related to possible technical problems. Also, a prescriptive maintenance plan must be established in order to define and determine the technical control processes.