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https://hdl.handle.net/1822/81440
Título: | An industry 4.0 intelligent decision support system for analytical laboratories |
Autor(es): | Silva, António João Cortez, Paulo |
Palavras-chave: | Dashboards Industry 4.0 Intelligent Decision Support System Machine Learning |
Data: | 1-Jan-2022 |
Editora: | Springer |
Revista: | IFIP Advances in Information and Communication Technology |
Citação: | Silva, A.J., Cortez, P. (2022). An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-031-08337-2_14 |
Resumo(s): | This paper presents an Intelligent Decision Support System (IDSS) to enhance the management of Analytical Laboratories (AL) of a company operating in the chemical industry. This IDSS incorporates two predictive Machine Learning (ML) models, related with the prediction of the arrival of samples at the AL and the consumption of AL materials, which are then used to perform prescriptive analytics for AL instrument allocation tasks. The IDSS is also complemented with descriptive analytics of instrument similarities regarding the tests performed for better supporting the AL manager decisions. The IDSS includes interactive dashboards and it was successfully validated by the AL managers using the Technology Acceptance Model (TAM) 3 and open interviews, which resulted in a positive feedback. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/81440 |
ISBN: | 9783031083365 |
DOI: | 10.1007/978-3-031-08337-2_14 |
ISSN: | 1868-4238 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-08337-2_14 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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F15_Artigo.pdf | 532,52 kB | Adobe PDF | Ver/Abrir |