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A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry

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A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry

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Maheut, JPD.; Besga, JM.; Uribetxebarria, J.; García Sabater, JP. (2014). A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry. Production Planning and Control. 25(8):679-697. https://doi.org/10.1080/09537287.2013.798087

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/54169

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Title: A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry
Author: Maheut, Julien Philippe Dominique Besga, Juan Manuel Uribetxebarria, Jone García Sabater, José Pedro
UPV Unit: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
[EN] This paper presents a decision support system to simultaneously solve the supply network configuration problem and the operations scheduling problem for the machine tool industry. A novel database structure, which is ...[+]
Subjects: Supply network configuration , Decision support system , Mass customisation , Simulation , Collaborative operations planning
Copyrigths: Reserva de todos los derechos
Source:
Production Planning and Control. (issn: 0953-7287 ) (eissn: 1366-5871 )
DOI: 10.1080/09537287.2013.798087
Publisher:
Taylor & Francis
Publisher version: http://dx.doi.org/10.1080/09537287.2013.798087
Project ID:
info:eu-repo/grantAgreement/MICINN//DPI2010-18243/ES/COORDINACION DE OPERACIONES EN REDES DE SUMINISTRO%2FDEMANDA AJUSTADAS, RESILIENTES A LA INCERTIDUMBRE: MODELOS Y ALGORITMOS PARA LA GESTION DE LA INCERTIDUMBRE Y LA COMPLEJIDAD/
info:eu-repo/grantAgreement/EC/FP7/229333/EU/Resilient Multi-Plant Networks/
info:eu-repo/grantAgreement/GVA//ACIF%2F2010%2F222/
Thanks:
We thank the EWG-DSS and their four expert anonymous referees as well as the guest editorial board for their useful suggestions and criticism on earlier versions of this paper. The research leading to these results has ...[+]
Type: Artículo

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