Total quality management na indústria 4.0: big data no tratamento dos defeitos de produção

Abstract

4.0 Industry tools have brought a meaningful advance of data created, essentially by its abundance, phenomena known as Big Data. This term refers to the information originated by many manners, although most of the time there is no apparent connection between them. Tools and techniques have been developed to process and analyze all information, and the most appointed and effective is Big Data Analytics. This tool enable the research of Big Data, and, when used amidst Business Intelligence, which are methods linking theory, practices and technology to enable business decision-taking, allows a corporation to have strategical arrangements of its products, clients and the market. All of these techniques are fundamental to effectively apply Total Quality Management, regarding the current industrial development. Total Quality Management has its focus on the client, and using quality improvement and evidence biased decision making systems there is an integration between departments to achieve the same goal. This essay is a case study of a graphic platform’s development using Big Data Analytics and Business Intelligence to follow and analyze defects of a belt conveyor production line. Through Methodi Ordinatio a research to acknowledge the techniques to handle Big Data and to select the tools for the platform’s development has been done. Therefore a centralized platform has been created, displaying graphics of the defects and their main indicators, with automatic actualization, assimilating 4.0 Industry technologies with Total Quality Management.