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Using LEL and scenarios to derive mathematical programming models. Application in a fresh tomato packing problem

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Using LEL and scenarios to derive mathematical programming models. Application in a fresh tomato packing problem

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Garrido, A.; Antonelli, L.; Martin, J.; Alemany Díaz, MDM.; Mula, J. (2020). Using LEL and scenarios to derive mathematical programming models. Application in a fresh tomato packing problem. Computers and Electronics in Agriculture. 170:1-14. https://doi.org/10.1016/j.compag.2020.105242

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/165525

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Título: Using LEL and scenarios to derive mathematical programming models. Application in a fresh tomato packing problem
Autor: Garrido, Alejandra Antonelli, Leandro Martin, Jonathan Alemany Díaz, María Del Mar Mula, Josefa
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] Mathematical programming models are invaluable tools at decision making, assisting managers to uncover otherwise unattainable means to optimize their processes. However, the value they provide is only as good as their ...[+]
Palabras clave: Language extended lexicon (LEL) , Scenarios , Software engineering , Mathematical programming , Fresh tomato packing
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Computers and Electronics in Agriculture. (issn: 0168-1699 )
DOI: 10.1016/j.compag.2020.105242
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.compag.2020.105242
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/691249/EU/Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems/
info:eu-repo/grantAgreement/ANPCyT//PICT-2015-3000/AR/Evaluación y reparación comunitaria de problemas de usabilidad y accesibilidad en aplicaciones web desktop y móviles/
Agradecimientos:
This work was supported by the European Commission, project RUC-APS, grant number 691249, funded by the European Union's research and innovation programme under the H2020 Marie SklodowskaCurie Actions; and the Argentinian ...[+]
Tipo: Artículo

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