Proposta de arquitetura OEE digital com integração de parâmetros de análise de máquinas na indústria de manufatura

Abstract

The manufacturing industry is facing increasing challenges related to increased worldwide competition and highly demand-sensitive markets. Most production processes are macro and are composed of various categories of equipment and subprocesses at different scales, making their management and control challenging. The data collected in the production process, associated with innovation through the combination of multiple technologies presented by Industry 4.0, bring opportunities to increase productivity between operations, such as actions aimed at continuous improvement, increased performance, efficiency, safety and, consequently, better return on investment. In the search for the highest levels of machine availability and process performance, this thesis developed a digital architecture in the context of legacy CNC (Computer Numerical Control) machines with analysis of important parameters for the qualification of Global Machine Efficiency (OEE) indicators. The digital architecture was developed based on the concept of ETL (Extract, Transform, Load data) emulating a real scenario, under conditions that are likely to be implemented in the future by a partner company. Directed by the Design Science Research (DSR) methodological approach, which aims to expand knowledge by means of responding to problems in the real world and has as elaboration stages; (i) Problem identification and motivation; (ii) Objectives of the solution; (iii) Design and development; (iv) Demonstration; (v) Evaluation and communication of the total completion of the process. The solution proposed in this thesis was evaluated in the context of a partner agricultural processing company, in the process of machining the transmission shaft of tractors and allowed the knowledge of the OEE indicator in less time than to help in decision making.