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Uncertainty management in advanced manufacturing implementation the case for learning factories

Luiz Fernando Cardoso dos Santos Durão Marcos Oliveira Guimaraes; Mario Salerno 1957-; Eduardo de Senzi Zancul 1974-; Conference on Learning Factories 2019 (CLF 2019) (9. 26-28 Mar., 2019 Braunschweig, Germany)

Procedia Manufacturing v. 31, p. 213–218, 2019

Amsterdam Elsevier 2019

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  • Título:
    Uncertainty management in advanced manufacturing implementation the case for learning factories
  • Autor: Luiz Fernando Cardoso dos Santos Durão
  • Marcos Oliveira Guimaraes; Mario Salerno 1957-; Eduardo de Senzi Zancul 1974-; Conference on Learning Factories 2019 (CLF 2019) (9. 26-28 Mar., 2019 Braunschweig, Germany)
  • Assuntos: INDÚSTRIA 4.0; TECNOLOGIA; PROJETOS DE PRODUTOS
  • É parte de: Procedia Manufacturing v. 31, p. 213–218, 2019
  • Descrição: Novel manufacturing concepts and technologies emerge in the environment of the fourth industrial revolution, also known as Industry 4.0, thus requiring new skills and abilities. However, technologies are associated with uncertainties related to technical specifications of products and production processes. Being able to identify and create strategies to overcome uncertainties is still a challenge to Industry 4.0. In this paper, we argue that Learning Factories are an effective solution to deal with new technologies and learning how to mitigate uncertainties. Learning Factories are testbeds and educational spaces that operate as a prototype for new concepts and technologies. Therefore, the questions that guide this paper are: What are the main uncertainties in Advanced Manufacturing? How can Learning Factories mitigate them? By describing a case, we will discuss concepts to mitigate uncertainties in a Learning Factory implementation.
  • Editor: Amsterdam Elsevier
  • Data de criação/publicação: 2019
  • Formato: p. 213-218.
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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