Project management and scheduling 2022

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorServranckx, Tom-
Autor(es): dc.creatorCoelho, José-
Autor(es): dc.creatorVanhoucke, Mario-
Data de aceite: dc.date.accessioned2025-08-21T15:13:36Z-
Data de disponibilização: dc.date.available2025-08-21T15:13:36Z-
Data de envio: dc.date.issued2024-10-24-
Data de envio: dc.date.issued2024-10-24-
Data de envio: dc.date.issued2024-04-11-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/16687-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/16687-
Descrição: dc.descriptionThis article summarises the research studies published in the special issue on Project Management and Scheduling devoted to the 18th International Conference on Project Management and Scheduling (PMS). The special issue contains state-of-the art research in the field of (non-)robust project and machine scheduling and the contribution of each individual study to the academic literature are discussed. We notice that there is a growing interest in the research community to investigate robust scheduling approaches and optimisation problems observed in real-life business settings. This allows us to derive some interesting future research directions for the project and machine scheduling community.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Palavras-chave: dc.subjectProject scheduling-
Palavras-chave: dc.subjectMachine scheduling-
Palavras-chave: dc.subjectRobust scheduling-
Palavras-chave: dc.subjectSolution approaches-
Palavras-chave: dc.subjectArtificial data-
Palavras-chave: dc.subjectEmpirical data-
Título: dc.titleProject management and scheduling 2022-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

Não existem arquivos associados a este item.