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Collaborative Plan to Reduce Inequalities Among the Farms through Optimization

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Collaborative Plan to Reduce Inequalities Among the Farms through Optimization

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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 Iannacone, Rina es_ES
dc.date.accessioned 2022-10-19T18:04:26Z
dc.date.available 2022-10-19T18:04:26Z
dc.date.issued 2021 es_ES
dc.identifier.issn 1868-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/188314
dc.description.abstract [EN] The crop planning problem consists in defining the crop and acreage to be planted at each farm. There are several centralized mathematical programming models to support crop planning in literature. However, centralized solutions often produce economic unfairness among the members of the supply chain, being especially relevant among the farmers in the agri-food sector. To solve it, this paper tries to answer the following research question: is it possible to reduce inequalities among the farmers through a collaborative plan? A centralized multi-objective mathematical programming model to support crop planning and the next decisions up to the sale of vegetables through a collaborative plan is proposed to answer this question. To show the validity of the proposed collaborative plan, results obtained are compared against those obtained without collaboration. The analysis of results shows that inequalities among the supply chain members can be highly reduced in a centralized decision-making approach by implementing the proposed collaborative plan, reducing a bit the supply chain profit. es_ES
dc.description.sponsorship We acknowledge the support of the project 691249, RUCAPS: "Enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems", funded by the European Union's research and innovation programme under the H2020 Marie Sklodowska-Curie Actions. 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 Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021 es_ES
dc.relation.ispartofseries IFIP Advances in Information and Communication Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Agri-food supply chain es_ES
dc.subject Crop planning es_ES
dc.subject Collaboration es_ES
dc.subject Optimization es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Collaborative Plan to Reduce Inequalities Among the Farms through Optimization es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-85969-5_11 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/691249/EU 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.; Iannacone, R. (2021). Collaborative Plan to Reduce Inequalities Among the Farms through Optimization. IFIP Advances in Information and Communication Technology. 629:125-137. https://doi.org/10.1007/978-3-030-85969-5_11 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-85969-5_11 es_ES
dc.description.upvformatpinicio 125 es_ES
dc.description.upvformatpfin 137 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 629 es_ES
dc.relation.pasarela S\451110 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.description.references Dury, J., Schaller, N., Garcia, F., et al.: Models to support cropping plan and crop rotation decisions. rev. Agron. Sustain. Dev. 32, 567–580 (2012). https://doi.org/10.1007/s13593-011-0037-x 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). https://doi.org/10.1007/s12159-015-0125-4 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. (2018). https://doi.org/10.1080/00207543.2018.1447706 es_ES
dc.description.references Flores, H., Villalobos, J.R., Ahumada, O., et al.: Use of supply chain planning tools for efficiently placing small farmers into high-value, vegetable markets. Comput. Electron. Agric. 157, 205–217 (2019). https://doi.org/10.1016/j.compag.2018.12.050 es_ES
dc.description.references Sinha, D.K., Singh, K.M., Ahmad, N., et al.: Natural resource management for enhancing farmer’s income: An optimal crop planning approach in Bihar. Indian J. Agric. Sci. 88, 641–646 (2018) es_ES
dc.description.references Ahumada, O., Rene Villalobos, J., Nicholas Mason, A.: Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agric. Syst. 112, 17–26 (2012). https://doi.org/10.1016/j.agsy.2012.06.002 es_ES
dc.description.references Esteso, A., Alemany, M.M.E., Ortiz, A., Liu, S.: Optimization model to support sustainable crop planning for reducing unfairness among farmers. Cent. Eur. J. Oper. Res. (2021). https://doi.org/10.1007/s10100-021-00751-8 es_ES
dc.description.references Stadler, H.: A framework for collaborative planning and state-of-the-art. In: Meyr, H., Günther, H.-O. (eds.) Supply Chain Planning, pp. 3–28. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-93775-3_1 es_ES
dc.description.references Ammirato, S., Felicetti, A.M., Ferrara, M., et al.: Collaborative organization models for sustainable development in the agri-food sector. Sustainability 13, 2301 (2021). https://doi.org/10.3390/su13042301 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.: Impact of product perishability on agri-food supply chains design. Appl. Math. Model 96, 20–38 (2021). https://doi.org/10.1016/j.apm.2021.02.027 es_ES
dc.description.references Alemany, M., Esteso, A., Ortiz, A., del Pino, M.: Centralized and distributed optimization models for the multi-farmer crop planning problem under uncertainty: application to a fresh tomato Argentinean supply chain case study. Comput. Ind. Eng., 107048 (2020). https://doi.org/10.1016/j.cie.2020.107048 es_ES


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