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A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks

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A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks

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dc.contributor.author Andres, B. es_ES
dc.contributor.author Poler, R. es_ES
dc.contributor.author Sanchis, R. es_ES
dc.date.accessioned 2018-05-12T04:21:05Z
dc.date.available 2018-05-12T04:21:05Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1868-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/101802
dc.description.abstract [EN] Collaboration has increasingly been considered a key topic within the small and medium-sized enterprises, allowing dealing with the intense competitiveness of today¿s globalised markets. The European H2020 Cloud Collaborative Manufacturing Networks Project proposes mechanisms to encourage collaboration among enterprises, through the computation of collaborative plans. Particularly, this paper focuses on the proposal of a holistic algorithm to deal with the automated and collaborative calculation of the Materials Requirement Plan. The proposed algorithm is validated in a collaborative network belonging to the automotive industry. es_ES
dc.description.sponsorship The research leading to these results is in the frame of the “Cloud Collaborative Manufacturing Networks” (C2NET) project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 636909.
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof IFIP Advances in Information and Communication Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Materials requirement plan es_ES
dc.subject Collaboration es_ES
dc.subject Cloud computing es_ES
dc.subject Data exchange es_ES
dc.subject Automotive sector es_ES
dc.subject Collaborative planning es_ES
dc.subject Cloud Collaborative Manufacturing Networks es_ES
dc.subject H2020 Project es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-319-65151-4_4 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/ es_ES
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 Andres, B.; Poler, R.; Sanchis, R. (2017). A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks. IFIP Advances in Information and Communication Technology. 560:41-50. https://doi.org/10.1007/978-3-319-65151-4_4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 18th IFIP Working Conference on Virtual Enterprises (PRO-VE 2017) es_ES
dc.relation.conferencedate September 18-20,2017 es_ES
dc.relation.conferenceplace Vicenza, Italy es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-319-65151-4_4 es_ES
dc.description.upvformatpinicio 41 es_ES
dc.description.upvformatpfin 50 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 560 es_ES
dc.subject.asignatura Gestión de procesos colaborativos en la cadena de suministro 32609 / D - Máster universitario en ingeniería avanzada de producción, logística y cadena de suministro 2159 es_ES
dc.subject.asignatura Gestión de procesos colaborativos en la cadena de suministro 32609 / W - Programa de doctorado en ingeniería y producción industrial 2202 es_ES
dc.relation.pasarela S\342765 es_ES
dc.contributor.funder European Commission es_ES
dc.description.references CORDIS Europa: Factories of the Future. H2020-EU.2.1.5.1. - Technologies for Factories of the Future (2014) es_ES
dc.description.references H2020 Project C2NET (2015). http://cordis.europa.eu/project/rcn/193440_en.html es_ES
dc.description.references Andres, B., Sanchis, R., Poler, R.: A cloud platform to support collaboration in supply networks. Int. J. Prod. Manag. Eng. 4(1), 5–13 (2016) es_ES
dc.description.references Andres, B., Sanchis, R., Lamothe, J., Saari, L., Hauser, F.: Integrated production-distribution planning optimization models: a review in collaborative networks context. Int. J. Prod. Manag. Eng. 5(1), 31–38 (2017) es_ES
dc.description.references Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16(4–5), 439–452 (2005) es_ES
dc.description.references Andres, B., Poler, R.: Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. Int. J. Comput. Integr. Manuf. 2(29), 166–201 (2016) es_ES
dc.description.references Sanchis, R., Poler, R., Lario, F.C.: Identification and analysis of Disruptions: the first step to understand and measure Enterprise Resilience. In: International Conference on Industrial Engineering and Engineering Management, pp. 424–431 (2012) es_ES
dc.description.references Andres, B., Saari, L., Lauras, M., Eizaguirre, F.: Optimization algorithms for collaborative manufacturing and logistics processes. In: Zelm, M., Doumeingts, G., Mendonça, J.P. (eds.) Enterprise Interoperability in the Digitized and Netwroked Factory of the Future, iSTE 2016, pp. 167–173 (2016) es_ES
dc.description.references Orbegozo, A., Andres, B., Mula, J., Lauras, M., Monteiro, C., Malheiro, M.: An overview of optimization models for integrated replenishment and production planning decisions. In: Building Bridges Between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC 2016), p. 68 (2016) es_ES


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