Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/66807
Título: | Bypassing data issues of a supply chain simulation model in a big data context |
Autor(es): | Vieira, António Amaro Costa Dias, Luis S. Santos, Maribel Yasmina Pereira, Guilherme Oliveira, José A. |
Palavras-chave: | Big Data Data issues Industry 4.0 Simulation Supply Chain |
Data: | 2020 |
Editora: | Elsevier B.V. |
Revista: | Procedia Manufacturing |
Resumo(s): | Peer-review under responsibility of the scientific committee of the International Conference on Industry 4.0 and Smart Manufacturing. Supply Chains (SCs) are complex and dynamic networks, where certain events may cause severe problems. To avoid them, simulation can be used, allowing the uncertainty of these systems to be considered. Furthermore, the data that is generated at increasingly high volumes, velocities and varieties by relevant data sources allow, on one hand, the simulation model to capture all the relevant elements. While developing such solution, due to the inherent use of simulation, several data issues were identified and bypassed, so that the incorporated elements comprise a coherent SC simulation model. Thus, the purpose of this paper is to present the main issues that were faced, and discuss how these were bypassed, while working on a SC simulation model in a Big Data context and using real industrial data from an automotive electronics SC. This paper highlights the role of simulation in this task, since it worked as a semantic validator of the data. Moreover, this paper also presents the results that can be obtained from the developed model. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/66807 |
DOI: | 10.1016/j.promfg.2020.02.033 |
ISSN: | 2351-9789 |
Versão da editora: | https://www.sciencedirect.com/science/article/pii/S2351978920305825 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Bypassing Data Issues of a Supply Chain Simulation Model.pdf | 1,74 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons