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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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dc.contributor.author Maheut, Julien Philippe Dominique es_ES
dc.contributor.author Besga, Juan Manuel es_ES
dc.contributor.author Uribetxebarria, Jone es_ES
dc.contributor.author García Sabater, José Pedro es_ES
dc.date.accessioned 2015-09-02T08:54:28Z
dc.date.available 2015-09-02T08:54:28Z
dc.date.issued 2014-06-11
dc.identifier.issn 0953-7287
dc.identifier.uri http://hdl.handle.net/10251/54169
dc.description.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 able to consider alternative operations and alternative bills of material, has been used. An algorithm for complete enumeration to determine all the feasible solutions using stroke graphs is introduced. A multiagent-based simulator evaluates the different key performance indicators that the supply network deals with for each alternative solution (e.g. workload, profits, delivery times, etc.) to determine that ‘satisficed’ by the collaborative decision-making among its members. A case study based on a Spanish company that assembles highly customised machines and tools in several European plants is considered. From the experiments results based on data linked to this industry, it will be demonstrated that the tool is potentially useful for stakeholders and for the central decision-maker to make decisions collaboratively in a multisite context case es_ES
dc.description.sponsorship 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 received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. NMP2-SL-2009-229333 and has been partially supported by the Spanish Ministry of Science and Innovation within the 'Proyectos de Investigacion Fundamental No Orientada Programme' through Project 'CORSARI MAGIC DPI2010-18243'. Julien Maheut holds a VALi+d grant funded by the Regional Valencian Government (Ref. ACIF/2010/222). en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Production Planning and Control es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Supply network configuration es_ES
dc.subject Decision support system es_ES
dc.subject Mass customisation es_ES
dc.subject Simulation es_ES
dc.subject Collaborative operations planning es_ES
dc.subject.classification INGENIERÍA DE ORGANIZACIÓN (UPV) es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A decision support system for modelling and implementing the supply network configuration and operations scheduling problem in the machine tool industry es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/09537287.2013.798087
dc.relation.projectID 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/
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/229333/EU/Resilient Multi-Plant Networks/
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACIF%2F2010%2F222/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/09537287.2013.798087 es_ES
dc.description.upvformatpinicio 679 es_ES
dc.description.upvformatpfin 697 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 8 es_ES
dc.relation.senia 287933
dc.identifier.eissn 1366-5871
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder European Commission


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