BIBLIOS

  Sistema de Gestão de Referências Bibliográficas de Ciências

Modo Visitante (Login)
Need help?


Voltar

Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
An optimization approach to design forest road networks and plan timber transportation

Participantes na publicação
Marta Mesquita (Author)
Susete Marques (Author)
Marlene Marques (Author)
Marco Marto (Author)
Miguel Constantino (Author)
Dep. Estatística e Investigação Operacional
CMAFcIO
José G. Borges (Author)

Data de Publicação
2022-07-01

Suporte
Operational Research

Identificadores da Publicação
ISSN - 1109-2858

Editora
Springer Science and Business Media LLC

Volume
22
Fascículo
3

Número de Páginas
29
Página Inicial
2973
Página Final
3001

Identificadores do Documento
DOI - https://doi.org/10.1007/s12351-021-00640-7
URL - http://dx.doi.org/10.1007/s12351-021-00640-7

Identificadores de Qualidade
SCOPUS Q1 (2017) - 0.566 - Statistics, Probability and Uncertainty
SCOPUS Q1 (2019) - 3.5 - Statistics, Probability and Uncertainty
SCOPUS Q1 (2020) - 3.8 - Numerical Analysis
SCOPUS Q1 (2020) - 3.8 - Statistics, Probability and Uncertainty
SCOPUS Q1 (2020) - 3.8 - Numerical Analysis


Exportar referência

APA
Marta Mesquita, Susete Marques, Marlene Marques, Marco Marto, Miguel Constantino, José G. Borges, (2022). An optimization approach to design forest road networks and plan timber transportation. Operational Research, 22, 2973 -3001. ISSN 1109-2858. eISSN . http://dx.doi.org/10.1007/s12351-021-00640-7

IEEE
Marta Mesquita, Susete Marques, Marlene Marques, Marco Marto, Miguel Constantino, José G. Borges, "An optimization approach to design forest road networks and plan timber transportation" in Operational Research, vol. 22, pp. 2973 -3001, 2022. 10.1007/s12351-021-00640-7

BIBTEX
@article{50786, author = {Marta Mesquita and Susete Marques and Marlene Marques and Marco Marto and Miguel Constantino and José G. Borges}, title = {An optimization approach to design forest road networks and plan timber transportation}, journal = {Operational Research}, year = 2022, pages = {2973 -3001}, volume = 22 }