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How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System

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How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System

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dc.contributor.author Zaraté, Pascale es_ES
dc.contributor.author Alemany Díaz, María Del Mar es_ES
dc.contributor.author del Pino, Mariana es_ES
dc.contributor.author Esteso, Ana es_ES
dc.contributor.author Camilleri, Guy es_ES
dc.date.accessioned 2021-01-15T04:31:37Z
dc.date.available 2021-01-15T04:31:37Z
dc.date.issued 2019 es_ES
dc.identifier.issn 1865-1348 es_ES
dc.identifier.uri http://hdl.handle.net/10251/159143
dc.description.abstract [EN] Decision making for farms is a complex task. Farmers have to fix the price of their production but several parameters have to be taken into account: harvesting, seeds, ground, season etc. This task is even more difficult when a group of farmers must make the decision. Generally, optimization models support the farmers to find no dominated solutions, but the problem remains difficult if they have to agree on one solution. In order to support the farmers for this complex decision we combine two approaches. We firstly generate a set of no dominated solutions thanks to a centralized optimization model. Based on this set of solution we then used a Group Decision Support System called GRUS for choosing the best solution for the group of farmers. The combined approach allows us to determine the best solution for the group in a consensual way. This combination of approaches is very innovative for the Agriculture domain. es_ES
dc.description.sponsorship The authors acknowledge the 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-MSCA-RISE-2015. One of the authors acknowledges the partial support of the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Lecture Notes in Business Information Processing es_ES
dc.relation.ispartof Decision Support Systems IX: Main Developments and Future Trends es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Centralized optimization model es_ES
dc.subject Group decision support system es_ES
dc.subject AgriBusiness es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-18819-1_7 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.relation.projectID info:eu-repo/grantAgreement/MECD//FPU15%2F03595/ES/FPU15%2F03595/ 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 Zaraté, P.; Alemany Díaz, MDM.; Del Pino, M.; Esteso, A.; Camilleri, G. (2019). How to Support Group Decision Making in Horticulture: An Approach Based on the Combination of a Centralized Mathematical Model and a Group Decision Support System. Lecture Notes in Business Information Processing. 348:83-94. https://doi.org/10.1007/978-3-030-18819-1_7 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 5th International Conference on Decision Support System Technology (ICDSST 2019) es_ES
dc.relation.conferencedate Mayo 27-29,2019 es_ES
dc.relation.conferenceplace Madeira, Portugal es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-18819-1_7 es_ES
dc.description.upvformatpinicio 83 es_ES
dc.description.upvformatpfin 94 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 348 es_ES
dc.relation.pasarela S\389173 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.description.references Tweeten, L., Thompson, S.: Long-term global agricultural output supply-demand balance. Farm Policy J. 6(1), 1–16 (2009) es_ES
dc.description.references Weintraub, A., Romero, C.: Operations research models and the management of agricultural and forestry resources: a review and comparison. Interfaces (Provid.) 36, 446–457 (2006). https://doi.org/10.1287/inte.1060.0 es_ES
dc.description.references Alemany, M.M.E., Grillo, H., Ortiz, A., Fuertes-Miquel, V.S.: A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Appl. Math. Model. 39, 4463–4481 (2015). https://doi.org/10.1016/j.apm.2014.12.057 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 Zaraté, P., Kilgour, D.Marc, Hipel, K.: Private or common criteria in a multi-criteria group decision support system: an experiment. In: Yuizono, T., Ogata, H., Hoppe, U., Vassileva, J. (eds.) CRIWG 2016. LNCS, vol. 9848, pp. 1–12. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44799-5_1 es_ES
dc.description.references Nunamaker Jr., J.F., Applegate, L.M., Konsynski, B.R.: Facilitating group creativity: experience with a group decision support system. J. Manag. Inf. Syst. 3(4), 5–19 (1987) es_ES
dc.description.references Perini, A., Susi, A.: Developing a decision support system for integrated production in agriculture. Environ. Model Softw. 19(9), 821–829 (2004) es_ES
dc.description.references Dania, W.A.P., Xing, K., Amer, Y.: Collaboration behavioural factors for sustainable agri-food supply chains: a systematic review. J. Clean. Prod. 186, 851–864 (2018) es_ES
dc.description.references Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. Int. J. Prod. Res. 56(13), 4418–4446 (2018) es_ES
dc.description.references Simatupang, T.M., Sridharan, R.: The collaboration index: a measure for supply chain collaboration. Int. J. Phys. Distrib. Logist. Manag. 35(1), 44–62 (2005) es_ES
dc.description.references Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2009) es_ES
dc.description.references Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Agrifood supply chain management: a comprehensive hierarchical decision-making framework and a critical taxonomy. Biosyst. Eng. 120, 47–64 (2014) es_ES
dc.description.references Alemany, M.M.E., Alarcón, F., Lario, F.C., Boj, J.J.: An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Comput. Ind. 62(5), 519–540 (2011) 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. Logist. Res. 8(1), 1–15 (2015) es_ES
dc.description.references Mason, A.N., Villalobos, J.R.: Coordination of perishable crop production using auction mechanisms. Agric. Syst. 138, 18–30 (2015) es_ES
dc.description.references Behzadi, G., O’Sullivan, M.J., Olsen, T.L., Zhang, A.: Agribusiness supply chain risk management: a review of quantitative decision models. Omega (U. K.) 79, 21–42 (2018) es_ES
dc.description.references Plà, L., Sandars, D., Higgins, A.: A perspective on operational research prospects for agriculture. J. Oper. Res. Soc. 65, 1078–1089 (2014) es_ES
dc.description.references Dania, W.A.P., Xing, K., Amer, Y.: Collaboration and sustainable agri-food suply chain: a literature review. In: MATEC Web Conference, vol. 58 (2016) es_ES
dc.description.references Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., Piramuthu, S.: Recent advances and opportunities in sustainable food supply chain: a model-oriented review. Int. J. Prod. Res. 7543, 1–23 (2018) es_ES
dc.description.references Porata, R., Lichtera, A., Terryb, L.A., Harkerc, R., Buzbyd, J.: Postharvest losses of fruit and vegetables during retail and in consumers’ homes: quantifications, causes, and means of prevention. Postharvest Biol. Technol. 139, 135–149 (2018) es_ES
dc.description.references Ehrgott, M.: Multicriteria Optimization. Springer, Heidelberg (2005) es_ES
dc.description.references Mavrotas, G.: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Appl. Math. Comput. 213(2), 455–465 (2009) es_ES
dc.description.references «Decision Maker» de Borda Institute. http://www.decision-maker.org/content/voting-systems . Accessed Jan 2017 es_ES
dc.subject.ods 02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible es_ES


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