Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90460
Título: | Analysing a meta-model for production scheduling in different kind of flow shop configurations |
Autor(es): | Martins, João Davide Varela, M.L.R. Gonçalves, Bruno Samuel Ferreira Machado, José Monteiro, António Caetano Putnik, Goran D. |
Palavras-chave: | Flow shops Meta-model Scheduling Simulation |
Data: | 2022 |
Editora: | Elsevier 1 |
Revista: | Procedia CIRP |
Resumo(s): | Meta-models enable to introduce dynamism and flexibility while trying to develop tools for solving a widened set of problems in a given application domain, which is considered nowadays to be of upmost importance, in the current Industry 4.0 era, and its underlying Cyber Physical Production Systems. In this paper a meta-model about flow shop scheduling problems is proposed, which enables to solve scheduling problems occurring in different kind of flow shop configurations through simulation. A comparative performance analysis of the scheduling results obtained considering the different types of flow shop configurations is carried out in this paper, based on the use of diverse kind of dispatching rules and flow shop performance evaluation parameters in order to realize about the utility of the proposed meta-model, for instance for proposing the best suited flow shop configuration in a given industrial scenario. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90460 |
DOI: | 10.1016/j.procir.2022.09.023 |
ISSN: | 2212-8271 |
Versão da editora: | https://www.sciencedirect.com/science/article/pii/S2212827122011659 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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1-s2.0-S2212827122011659-main.pdf Acesso restrito! | 1,02 MB | Adobe PDF | Ver/Abrir |