A Collaborative Model to Improve Farmers&apos

[EN] Some small farms are forced to waste a part of their harvests for not reaching the quality standards fixed by consumers. Meanwhile, modern retailers (MR) are interested in selling more quality products to increase their profits. MR could invest in a collaboration program so the small farmers co...

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Detalhes bibliográficos
Autores: Esteso, Ana, Guyon, Cecile, Alemany Díaz, María Del Mar|||0000-0002-0992-8441, Ortiz Bas, Ángel|||0000-0001-5690-0807
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/120655
Acesso em linha:https://riunet.upv.es/handle/10251/120655
Access Level:acceso abierto
Palavra-chave:Agri-food supply chain
Farmer skills
Collaboration
Product quality
Fuzzy mathematical programming
ORGANIZACION DE EMPRESAS
Descrição
Resumo:[EN] Some small farms are forced to waste a part of their harvests for not reaching the quality standards fixed by consumers. Meanwhile, modern retailers (MR) are interested in selling more quality products to increase their profits. MR could invest in a collaboration program so the small farmers could have access to better technologies and formation to increase the proportion of quality products. Unfortunately, the demand, the quantity of harvest, the proportion of harvest being of quality, and its increase with each investment are uncertain parameters. A fuzzy model considering these uncertainties is proposed to determine the investments that MR should made to maximize the profits of the supply chain in a collaboration context. A method to transform the fuzzy model into an equivalent crisp model and an interactive resolution method are applied.