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Integrated production-distribution planning optimization models: A review in collaborative networks context

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Integrated production-distribution planning optimization models: A review in collaborative networks context

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dc.contributor.author Andrés Navarro, Beatriz es_ES
dc.contributor.author Sanchis Gisbert, Raquel es_ES
dc.contributor.author Lamothe, Jaques es_ES
dc.contributor.author Saari, Leila es_ES
dc.contributor.author Hauser, Frederic es_ES
dc.date.accessioned 2017-04-18T12:07:38Z
dc.date.available 2017-04-18T12:07:38Z
dc.date.issued 2017-01-31
dc.identifier.issn 2340-5317
dc.identifier.uri http://hdl.handle.net/10251/79745
dc.description.abstract [EN] Researchers in the area of collaborative networks are more and more aware of proposing collaborative approaches to address planning processes, due to the advantages associated when enterprises perform integrated planning models. Collaborative production-distribution planning, among the supply network actors, is considered a proper mechanism to support enterprises on dealing with uncertainties and dynamicity associated to the current markets. Enterprises, and especially SMEs, should be able to overcome the continuous changes of the market by increasing their agility. Carrying out collaborative planning allows enterprises to enhance their readiness and agility for facing the market turbulences. However, SMEs have limited access when incorporating optimization tools to deal with collaborative planning, reducing their ability to respond to the competition. The problem to solve is to provide SMEs affordable solutions to support collaborative planning. In this regard, new optimisation algorithms are required in order to improve the collaboration within the supply network partners. As part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project, this paper presents a study on integrated production and distribution plans. The main objective of the research is to identify gaps in current optimization models, proposed to address integrated planning, taking into account the requirements and needs of the industry. Thus, the needs of the companies belonging to the industrial pilots, defined in the C2NET project, are identified; analysing how these needs are covered by the optimization models proposed in the literature, to deal with the integrated production-distribution planning. 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 Universitat Politècnica de València
dc.relation.ispartof International Journal of Production Management and Engineering
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Collaborative planning es_ES
dc.subject Supply chain es_ES
dc.subject Production planning es_ES
dc.subject Distribution planning es_ES
dc.title Integrated production-distribution planning optimization models: A review in collaborative networks context es_ES
dc.type Artículo es_ES
dc.date.updated 2017-04-18T11:50:05Z
dc.identifier.doi 10.4995/ijpme.2017.6807
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. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció es_ES
dc.description.bibliographicCitation Andrés Navarro, B.; Sanchis Gisbert, R.; Lamothe, J.; Saari, L.; Hauser, F. (2017). Integrated production-distribution planning optimization models: A review in collaborative networks context. International Journal of Production Management and Engineering. 5(1):31-38. https://doi.org/10.4995/ijpme.2017.6807 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2017.6807 es_ES
dc.description.upvformatpinicio 31 es_ES
dc.description.upvformatpfin 38 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5
dc.description.issue 1
dc.identifier.eissn 2340-4876
dc.contributor.funder European Commission


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