A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches
Work
Year: 2017
Type: article
Source: Computers & Operations Research
Cites: 41
Cited by: 60
Related to: 10
FWCI: 3.938
Citation percentile (by year/subfield): 93.92
Field: Decision Sciences
Domain: Social Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: closed
Funders Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Amazônia Paraense de Amparo à Pesquisa, Fundação Amazônia Paraense de Amparo à Pesquisa
Grant IDS 470154/2013-6, 2013/08303-2, 2015/26453-7