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Solving the integrated multi-port stowage planning and container relocation problems with a genetic algorithm and simulation

Solving the integrated multi-port stowage planning and container relocation problems with a genetic algorithm and simulation

Catarina Junqueira, Anibal Tavares De Azevedo, Takaaki Ohishi

ARTIGO

Inglês

Agradecimentos: This research was funded by the São Paulo Research Foundation (FAPESP) (process: 2015/24295-5), and it benefited from a Ph.D. grant from the Coordination for the Improvement of Higher Education Personnel (CAPES)

Abstract: The greater flow of containers in global supply chains requires ever-increasing productivity at port terminals. The research found in the literature has focused on optimizing specific parts of port operations but has ignored important features, such as the stack-wise organization of... Ver mais

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

2015/24295-5

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

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Aberto

Solving the integrated multi-port stowage planning and container relocation problems with a genetic algorithm and simulation

Catarina Junqueira, Anibal Tavares De Azevedo, Takaaki Ohishi

										

Solving the integrated multi-port stowage planning and container relocation problems with a genetic algorithm and simulation

Catarina Junqueira, Anibal Tavares De Azevedo, Takaaki Ohishi

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    Applied sciences (Fonte avulsa)