Mostrar el registro sencillo del ítem
dc.contributor.author | Esteso, Ana | es_ES |
dc.contributor.author | Alemany Díaz, María Del Mar | es_ES |
dc.contributor.author | Ortiz Bas, Ángel | es_ES |
dc.contributor.author | Zaraté, Pascale | es_ES |
dc.date.accessioned | 2021-07-09T03:32:02Z | |
dc.date.available | 2021-07-09T03:32:02Z | |
dc.date.issued | 2020 | es_ES |
dc.identifier.issn | 1868-4238 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/169028 | |
dc.description.abstract | [EN] Consumers increasingly require products with higher qualities, leading to loss units not meeting these requirements. Collaboration can be used to increase first quality products production and reduce waste generated along the chain. A collaboration program consisting in a system of investments made by retailers to cooperatives to impove the skills of farms is proposed for this aim. The novelty of this paper is threefold: 1) the business model considered in which cooperatives distribute funds among farms, 2) the inclusion of the dynamic state of products, modelling the quality variation timewise, and 3) the mathematical modelling of five scenarios with different criteria for allocating funds to farms. Results are analyzed and compared for the three aspects of sustainability concluding that: 1) the collaboration program increases the quality of products sold, and 2) interesting tradeoffs occur among the sustainability dimensions, enabling the reduction of unfairness among farms by slightly worsening economic aspects. | es_ES |
dc.description.sponsorship | The authors acknowledge the partial support of Project 691249, "RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems", funded by the EU under its funding scheme H2020-MCSA-RISE-2015. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer | es_ES |
dc.relation.ispartof | IFIP Advances in Information and Communication Technology | es_ES |
dc.relation.ispartof | Boosting Collaborative Networks 4.0. PRO-VE 2020 | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Agri-food | es_ES |
dc.subject | Collaboration | es_ES |
dc.subject | Quality | es_ES |
dc.subject | Unfairness | es_ES |
dc.subject | Optimization | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios | es_ES |
dc.type | Artículo | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1007/978-3-030-62412-5_45 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/691249/EU/Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems/ | 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 | Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á.; Zaraté, P. (2020). Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios. IFIP Advances in Information and Communication Technology. 598:546-559. https://doi.org/10.1007/978-3-030-62412-5_45 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-62412-5_45 | es_ES |
dc.description.upvformatpinicio | 546 | es_ES |
dc.description.upvformatpfin | 559 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 598 | es_ES |
dc.relation.pasarela | S\422922 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.description.references | Azevedo, S., Silva, M., Matias, J., Dias, G.: The influence of collaboration initiatives on the sustainability of the cashew supply chain. Sustainability 10, 2075 (2018). https://doi.org/10.3390/su10062075 | es_ES |
dc.description.references | FAO: The future of food and agriculture - Trends and challenges, Rome (2017) | es_ES |
dc.description.references | Esteso, A., del Mar E. Alemany, M., Ortiz, Á., Guyon, C.: A collaborative model to improve farmers’ skill level by investments in an uncertain context. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 590–598. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99127-6_51 | es_ES |
dc.description.references | Sutopo, W., Hisjam, M., Yuniaristanto: An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: Yang, G.-C., Ao, S.-I., Huang, X., Castillo, O. (eds.), IAENG Transaction Engineering Technologies, Special Issue International MultiConference of Engineering and Computer Science 2012. Springer, Netherlands, Dordrecht, pp. 189–202 (2013). https://doi.org/10.1007/978-94-007-5651-9_14 | es_ES |
dc.description.references | Sutopo, W., Hisjam, M., Yuniaristanto, Kurniawan, B.: A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. In: Proceeding of the World Congress on Engineering 2013, vol. I, pp. 732–736 (2013) | es_ES |
dc.description.references | Sutopo, W., Hisjam, M., Yuniaristanto, : An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int. Sch. Sci. Res. Innov. 5, 1588–1592 (2011) | es_ES |
dc.description.references | Sutopo, W., Hisjam, M., Yuniaristanto, : An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara, Teknol. 16, 43–50 (2012) | es_ES |
dc.description.references | Sutopo, W., Hisjam, M., Yuniaristanto: Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress Engineering and Computer Science WCECS 2013, vol. 2, pp. 1180–1184 (2013) | es_ES |
dc.description.references | Wahyudin, R.S., Sutopo, W., Hisjam, M., Yuniaristanto, Kurniawan, B.: An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceeding of the International MultiConference of Engineering and Computer Science, vol II, pp. 877–882 (2015) | es_ES |
dc.description.references | Plà, L.M., Sandars, D.L., Higgins, A.J.: A perspective on operational research prospects for agriculture. J. Oper. Res. Soc. 65, 1078–1089 (2014). https://doi.org/10.1057/jors.2013.45 | es_ES |
dc.description.references | Handayati, Y., Simatupang, T.M., Perdana, T.: Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Res. 8(1), 1–15 (2015). https://doi.org/10.1007/s12159-015-0125-4 | es_ES |
dc.description.references | Moon, I., Jeong, Y.J., Saha, S.: Investment and coordination decisions in a supply chain of fresh agricultural products. Oper. Res. 20, 1–25. (2018). https://doi.org/10.1007/s12351-018-0411-4 | es_ES |
dc.description.references | Stadtler, H.: A framework for collaborative planning and state-of-the-art. OR Spectr. 31, 5–30 (2009). https://doi.org/10.1007/s00291-007-0104-5 | es_ES |
dc.description.references | Hernández, J.E., Lyons, A.C., Poler, R., Mula, J., Goncalves, R.: A reference architecture for the collaborative planning modelling process in multi-tier supply chain networks: a Zachman-based approach. Prod. Plan. Control. 25, 1118–1134 (2014). https://doi.org/10.1080/09537287.2013.808842 | es_ES |
dc.description.references | Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. In: Camarinha-Matos, L.M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IAICT, vol. 506, pp. 715–724. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_64 | es_ES |
dc.description.references | Esteso, A., Alemany, M.M.E., Ortiz, Á., Peidro, D.: A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements. Comput. Ind. Eng. 124, 180–194 (2018). https://doi.org/10.1016/j.cie.2018.07.025 | es_ES |