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An evaluation of the environmental factors for supply chain strategy decisions using grey systems and composite indicators

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An evaluation of the environmental factors for supply chain strategy decisions using grey systems and composite indicators

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Alfaro Saiz, JJ.; Bas, M.; Giner-Bosch, V.; Rodríguez Rodríguez, R.; Verdecho Sáez, MJ. (2020). An evaluation of the environmental factors for supply chain strategy decisions using grey systems and composite indicators. Applied Mathematical Modelling. 79:490-505. https://doi.org/10.1016/j.apm.2019.10.048

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/165808

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Título: An evaluation of the environmental factors for supply chain strategy decisions using grey systems and composite indicators
Autor: Alfaro Saiz, Juan José Bas, M.C. Giner-Bosch, Vicent Rodríguez Rodríguez, Raúl Verdecho Sáez, María José
Entidad UPV: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] The purpose of this work is to assess the importance of environmental factors in a supply chain with four partners as a preliminary step to select the competitive strategies and objectives. To achieve this purpose, a ...[+]
Palabras clave: Grey system theory , Composite indicator , Supply chain , Environmental factors , Environmental uncertainty
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Applied Mathematical Modelling. (issn: 0307-904X )
DOI: 10.1016/j.apm.2019.10.048
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.apm.2019.10.048
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//PAID-00-15/
Agradecimientos:
The research was conducted with the support of the R&D Support Program (PAID-00-15) of the Universitat Politecnica de Valencia.
Tipo: Artículo

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