Detalhes bibliográficos
| Ano de defesa: |
2012 |
| Autor(a) principal: |
Hernandes, Danniel de Souza |
| Orientador(a): |
Pereira, Fabio Henrique
 |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Nove de Julho
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação de Mestrado e Doutorado em Engenharia de Produção
|
| Departamento: |
Engenharia
|
| País: |
BR
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://bibliotecatede.uninove.br/tede/handle/tede/174
|
Resumo: |
One measure for companies survive in the competitive corporate world is to be productive. Besides, they have to always improving their internal processes and use in the best way as possible their resources. The use of technology has been an important differential to the search for improvements in the productive process. Many companies already have, in full operation, corporative systems to control accounting, financial, human resources, inventory, among others. A newer system that has been providing better use of resources, are the systems to optimize the manufacturing plan, known as finite capacity systems. These systems aims to calculate the machine load, seeking to optimize resources and ensuring that the plant will delivers the demand within the time desired. However, for the simulation gives a good response and work properly, the system needs reliable information about forecast sales and manufacturing capacity of the shop floor. The major difficulty, it is because the information of the shop floor happens to be very dynamic and this information are normally collected by the machine operator, which are, generally, not able to generate reliable and fast information. In addition, the information are collected normally in different databases whit systems that do not talk to each other. This paper aims to describe the implementation of a system for automatic collect data from the shop floor in real time and integrate the information with the corporative system and the finite capacity systems. This will be done through a case study, and it will observe the impact of these actions on the productivity of the company studied. During the case study, it was performed the implantation of automatic data collection in real time, as well as integration between systems. After implantation was carried out a comparative study of manufacturing indicators between the years 2010 and 2011, which proved a productivity increase of approximately 10%. |
