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A conceptual framework for multi-objective facility layout planning by a bottom-up approach

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A conceptual framework for multi-objective facility layout planning by a bottom-up approach

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Pérez-Gosende, P.; Mula, J.; Díaz-Madroñero, M. (2023). A conceptual framework for multi-objective facility layout planning by a bottom-up approach. International Journal of Production Management and Engineering. 11(1):1-16. https://doi.org/10.4995/ijpme.2023.19006

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191711

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Título: A conceptual framework for multi-objective facility layout planning by a bottom-up approach
Autor: Pérez-Gosende, Pablo Mula, Josefa Díaz-Madroñero, Manuel
Entidad UPV: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció
Fecha difusión:
Resumen:
[EN] The purpose of this paper is to present a conceptual framework to facilitate academics and practitioners decision making related to multi-objective facility layout planning (mFLP) by employing a bottom-up approach. ...[+]
Palabras clave: Plant design , Facility layout planning , Conceptual framework
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
International Journal of Production Management and Engineering. (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2023.19006
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/ijpme.2023.19006
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/825631/EU/Zero-Defect Manufacturing Platform (ZDMP)
info:eu-repo/grantAgreement/GV/PROMETEO/PROMETEO%2F2021%2F065/Industrial Production and Logistics Optimization in Industry 4.0
info:eu-repo/grantAgreement/EC/H2020/958205/EU/Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)
Agradecimientos:
The research leading to these results received funding from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana entitled “Industrial Production and Logistics ...[+]
Tipo: Artículo

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