Navegando por Autor "FARIA, Marlene Araujo de"

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Estudo Comparativo dos Processos Produtivos entre Linhas em Série e Células
(INSTITUTO DE TECNOLOGIA, 2010) SOARES, José Josimar; LEITE, Jandecy Cabral; FARIA, Marlene Araujo de; Profa. Dra. Maria Adrina Paixão de Souza da Silva.
The aim of this study is a comparative study of the implementation of a cell line with layout type “Y”; originally introduced “U”; in a series of line company that produces automotive sound, in the Industrial Pole of Manaus. By some indicators, we obtained a validation of the benefits generated by the manufacturing system cell, eliminating losses, improving productivity and motivating internal employees.
Gerenciamento do Suprimento de Óleo Combustível para Usina Térmica no Amazonas Através de Sistemas Inteligentes
(Universidade Federal do Pará, 2011) SILVA NETO, Almiro Gomes da; FARIA, Marlene Araujo de
The objective of this work is to develop a computational tool for decision support in the supply of fuel oil for thermal power plant, examining the main variables of thermal generation using fuel oil and the entire logistical process. The basis for the study is on the operating principle of a thermal plant, the logistics of fuel and its peculiarities. The current supply management and all procedures involved in this process give support for the proposed innovation. The case study consists of a simulation system for managing oil supply through a mathematical simulator to confirm the optimal inventory solution through fuzzy logic. The development of the computational tool for decision support in the new requests of fuel oil includes the characteristics indicated by the users as an interface for easy understanding, operation, and fast processing of information to predict the best time to request a new shipment of oil.
GERENCIAMENTO DO SUPRIMENTO DE ÓLEO COMBUSTÍVEL PARA USINA TÉRMICA NO AMAZONAS ATRAVÉS DE SISTEMAS INTELIGENTES
(Universidade Federal do Pará, 2011) SILVA NETO, Almiro Gomes da; FARIA, Marlene Araujo de
The objective of this work is to develop a computational tool for decision support in the supply of fuel oil for thermal power plant, examining the main variables of thermal generation using fuel oil and the entire logistical process. The basis for the study is on the operating principle of a thermal plant, the logistics of fuel and its peculiarities. The current supply management and all procedures involved in this process give support for the proposed innovation. The case study consists of a simulation system for managing oil supply through a mathematical simulator to confirm the optimal inventory solution through fuzzy logic. The development of the computational tool for decision support in the new requests of fuel oil includes the characteristics indicated by the users as an interface for easy understanding, operation, and fast processing of information to predict the best time to request a new shipment of oil.