Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71903
Título: | Improving productive processes using a process mining approach |
Autor(es): | Ribeiro, Rita Analide, Cesar Belo, Orlando |
Palavras-chave: | Bottleneck points analysis BPMN Business process optimization Business processes management Industry 4.0 Process mining Process modeling and analysis |
Data: | 2018 |
Editora: | Springer, Cham |
Revista: | Advances in Intelligent Systems and Computing |
Citação: | Ribeiro R., Analide C., Belo O. (2018) Improving Productive Processes Using a Process Mining Approach. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_69 |
Resumo(s): | Today’s companies face great challenges when attempting to quest business markets with their demands on product quality and price. However, when a company maintains high efficiency levels on its productive processes usually it has this challenge quite simplified. The great availability of data we have currently on industry plants provides a very interesting support to face this challenge, when combined with new technologies such as process mining. This paper presents a case study where the very recent process mining techniques were applied to a very particular productive process characterized for its low frequency and heterogeneity. To do this, we made some changes to the “L * life-cycle model” methodology, for applying process mining in the identification of tasks with unsatisfactory performance levels, and analyzing the most relevant and critical aspects that influence it. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71903 |
ISBN: | 978-3-319-77711-5 |
e-ISBN: | 978-3-319-77712-2 |
DOI: | 10.1007/978-3-319-77712-2_69 |
ISSN: | 2194-5357 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-319-77712-2_69 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2018-CI-WORLDCIST-RibeiroEtAl-CRP.pdf Acesso restrito! | 291,73 kB | Adobe PDF | Ver/Abrir |