Uncertainty management in advanced manufacturing implementation: the case for learning factories (2019)
- Authors:
- USP affiliated authors: SALERNO, MÁRIO SÉRGIO - EP ; ZANCUL, EDUARDO DE SENZI - EP ; DURÃO, LUIZ FERNANDO CARDOSO DOS SANTOS - EP
- Unidade: EP
- DOI: 10.1016/j.promfg.2019.03.034
- Subjects: INDÚSTRIA 4.0; TECNOLOGIA; PROJETOS DE PRODUTOS
- Language: Inglês
- Abstract: 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.
- Imprenta:
- Source:
- Título: Procedia Manufacturing
- ISSN: 2351-9789
- Volume/Número/Paginação/Ano: v. 31, p. 213–218, 2019
- Conference titles: Conference on Learning Factories 2019 (CLF 2019)
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
-
ABNT
DURÃO, Luiz Fernando Cardoso dos Santos et al. Uncertainty management in advanced manufacturing implementation: the case for learning factories. Procedia Manufacturing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.promfg.2019.03.034. Acesso em: 29 dez. 2025. , 2019 -
APA
Durão, L. F. C. dos S., Guimaraes, M. O., Salerno, M., & Zancul, E. de S. (2019). Uncertainty management in advanced manufacturing implementation: the case for learning factories. Procedia Manufacturing. Amsterdam: Elsevier. doi:10.1016/j.promfg.2019.03.034 -
NLM
Durão LFC dos S, Guimaraes MO, Salerno M, Zancul E de S. Uncertainty management in advanced manufacturing implementation: the case for learning factories [Internet]. Procedia Manufacturing. 2019 ; 31 213–218.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.promfg.2019.03.034 -
Vancouver
Durão LFC dos S, Guimaraes MO, Salerno M, Zancul E de S. Uncertainty management in advanced manufacturing implementation: the case for learning factories [Internet]. Procedia Manufacturing. 2019 ; 31 213–218.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.promfg.2019.03.034 - Distributed manufacturing of spare parts based on additive manufacturing: use cases and technical aspects
- Digital Twin data architecture for product-service systems
- Plataformas tecnológicas demonstradoras como política de inovação
- Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments
- Programa demonstrativo para inovação em cadeia produtiva selecionada: indústria aeronáutica brasileira.
- Bridging uncertainty management and requirements engineering in R&D projects: a case in the e-mobility sector
- Manufatura aditiva: estado da arte e framework de aplicações
- Divergent prototyping effect on the final design solution: the role of "Dark Horse" prototype in innovation projects
- Internet of things process selection: AHP selection method
- Mass customization based on additive manufacturing: technology selection, elicitation loop, and distributed production on a tailored customization experiment
Informações sobre o DOI: 10.1016/j.promfg.2019.03.034 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
DURÃO GUIMARAES SALERNO ... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
