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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 |