Mestrado em Engenharia de Produção

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Navegando Mestrado em Engenharia de Produção por Autor "Carvalho, Luciana"

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    Como o controle de torque, integrado ao sistema MES XGAAT e torquímetros wireless, controladoras e ponteiras, contribuirão para a diminuição do FPM, no chão de fábrica? Um estudo de caso à luz da indústria 4.0
    (Universidade Federal de Goiás, 2019-09-13) Costa, Rodrigo Pereira da; Duarte, Márcio Antônio; http://lattes.cnpq.br/9907691146700229; Carvalho, Luciana; Duarte, Márcio Antônio; Guimarães, Núbia Rosa da Silva
    Industrial manufacturing companies are constantly faced with the challenge of increasing productivity, reducing rework costs and achieving rapid increases in production. The pressure, to keep production costs under control, is intense. Failure and poor quality in the production process is extremely dangerous to the competitiveness of manufacturing industries. According this context, it was purposed a Quantitative and a Qualitative case study at XGreen S/A assembly line of sprayers self-propelled. The study has got the proposal to verify the feasibility and the possibility to stablish a distinguished Quality in this product line, through the implementation of the intelligent tools: wireless torque wrenches, toolings (devices) and MES XGAAT (Manufacturing Execution System - X Green Assembly Assist Tool), which correspond to the materialization of Industry 4.0 concepts, within the scope of XGreen S/A. In short, it is expected through this study can itself to promote a reduction of Failure Per Machines (FPM), to improve the process traceability, the torque control as well as the Distinct Quality, in the assembly line of the sprayers from XGreen company. Although the implementation of the MES XGAAT system and the intelligent tools have been done into a conservative way, the quarterly reports from the Quality team suggest a considerable improvement regarding the Production indicators. The quarterly reports from Quality team have showed an improvement related to the Production´s indicators and a reduction of 27% in the Failures Per Machine (FPM), which was the main goal of this research project.