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Article
Affiliation(s)

Walther Azzolini Junior, professor, University of São Paulo (USP) School of Engineering of São Carlos, State University of São Paulo at São Carlos, Brazil.
José Luís Garcia Hermosila, professor, University Center of Araraquara, Araraquara, Brazil.
Antônio Marcos Vitorelli, master in production engineering, University Center of Araraquara, Araraquara, Brazil.
Rubens Parada, master in production engineering, University Center of Araraquara, Araraquara, Brazil.

ABSTRACT

Manufacturing system, with high level of complexity and with a mix of semi-repetitive and repetitive products, to become productive, should seek the standardization of products and processes to obtain the optimization of use of production resources. However, it is necessary to measure the productivity, so that the system of measurement and control of manufacturing processes are an element critical as to ensure greater visibility of the flow’s restrictions, minimized when detected properly. In this case, the automation of factory’s measurement process can effectively contribute to ensuring the effectiveness of the function control of a manufacturing system. It is important to consider that the automation of the system of measurement and control of manufacturing processes, of complex environment, is heavily dependent of IT tools applied directly in the interface computational between the operation systems and the corporate systems. This heavy reliance, if exploited technically properly, allows that automation of the system of measurement and control of production makes the access to time real of availability of manufacturing process’s data, such as processing time and setup time that it can export to a specialist software in programming production, for example, feasible. In this paper, the automation of the system of measurement and control of production is approached, in order to identify the main possibilities of the design of an information system capable to integrate the flow of information in an environment internal on manufacturing organizations, with emphasis in the digital manufacturing paradigm.

KEYWORDS

advanced planning system, operations management, sales and operations planning, shop floor control, supply chain planning

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