Dissertações

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/174

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    Mapeamento de Perdas no Processo de Manutenção de Ar Condicionado Automotivo com Uso da Escala Likert e Lógica Difusa
    (Instituto de Tecnologia, 2020) CAMPOS, Williams de Souza; MAGALHÃES, Edilson Marques
    The search for efficient management is one of the main concerns in companies. Eliminating losses in maintenance can be done when there is another way to perform a task. This study aimed to map the type of critical loss in an automotive maintenance process in the operation and process functions, evaluating the factors that influence this loss in the flow of materials and services. The methodology was divided into three phases: data collection, loss mapping, and measurement and evaluation of critical variables using the Likert scale and Fuzzy logic. The mapping result identified the critical loss as "waiting," related to the lack of parts, with an average lead time of 3 days. The delay rates for delivery were 48.8% on the Likert scale and 50% on Fuzzy logic, confirming the reality of the process.
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    Desenvolvimento de um Aplicativo Web para Auxiliar o Processo de Fabricação de TV de uma Indústria do PIM
    (Universidade Federal do Pará, 2018) COSTA, Jaidson Brandão da; MACÊDO, Emanuel Negrão
    The industry has undergone multiple revolutions that have benefited production. However, technological innovation continues to reshape the industrial sector. This study identifies critical success factors for adopting Industry 4.0 using a web application developed for mobile devices, assisting the TV manufacturing process in a company within the Manaus Industrial Pole (PIM). The proposed model aims to enhance the company's information and communication systems for control and decision-making in the separation process of Surface Mount Device (SMD) kits. The methodology employed Extreme Programming (XP) and prototyping. Results showed an 80% reduction in production delays and a 40% increase in daily TV manufacturing.