Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/63067
Título: | Ranked sequence positional weight heuristic for simultaneous balancing and scheduling jobs in a distributed manufacturing environment |
Autor(es): | Kays, Emrul Karim, Atashgar Varela, M.L.R. Putnik, Goran D. Ávila, Paulo |
Palavras-chave: | Distributed manufacturing environments Heuristics Integer programming Mathematical model RSPW Simultaneous balancing and scheduling |
Data: | 2018 |
Editora: | Elsevier B.V. |
Revista: | Procedia CIRP |
Resumo(s): | In the current competitive and globalized manufacturing scenario Distributed Manufacturing Environments are increasing, and it turns mandatory to explore improved operational approaches. For enhanced simultaneous balancing and scheduling jobs in a Distributed Manufacturing Environment (DME) a mathematical model of Ranked Sequence Positional Weight (RSPW) is proposed. The model capabilities are analysed through a test problem and the results have demonstrated that the proposed RSPW heuristics mathematical model do perform better than other competitive approaches. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/63067 |
DOI: | 10.1016/j.procir.2017.12.166 |
ISSN: | 2212-8271 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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PublishedpaperProcediaCIRP2017_Emrul.pdf | 316,16 kB | Adobe PDF | Ver/Abrir |