- -

Collaborative Optimization Tool for Sustainable Planning of an Agricultural Supply Chain Preserving Farmers' Independence

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Collaborative Optimization Tool for Sustainable Planning of an Agricultural Supply Chain Preserving Farmers' Independence

Mostrar el registro sencillo del ítem

Ficheros en el 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 Lezoche, Mario es_ES
dc.date.accessioned 2023-12-04T19:01:50Z
dc.date.available 2023-12-04T19:01:50Z
dc.date.issued 2022-09-12 es_ES
dc.identifier.issn 1868-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200487
dc.description.abstract [EN] Farmers often decide independently when and how much area to plant each crop. As farmers unknow the demand for crops, they tend to plant the most profitable crops from the previous year. If all farmers reproduced this behavior, they would overproduce the most profitable crops and underproduce the least profitable ones, leading to a supply-demand imbalance and price fluctuations. To solve this problem while maintaining farmers independence, a collaborative optimizationbased tool is proposed that allows to centrally define the minimum and maximum proportion of area to be planted with each crop and in each period to be sustainable in terms of profits, waste, and unmet demand, and to use this proportions to independently define the planning of planting, harvesting and crop distribution for each farmer. The proposed tool is assessed by determining and comparing what the supply chain outcomes would be if farmers used the collaborative tool or not 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 Sk¿odowska-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.rights Reserva de todos los derechos es_ES
dc.subject Collaborative es_ES
dc.subject Crop planning es_ES
dc.subject Agri-food es_ES
dc.subject Perishable es_ES
dc.subject Optimization es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Collaborative Optimization Tool for Sustainable Planning of an Agricultural Supply Chain Preserving Farmers' Independence es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-031-14844-6_41 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. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á.; Lezoche, M. (2022). Collaborative Optimization Tool for Sustainable Planning of an Agricultural Supply Chain Preserving Farmers' Independence. IFIP Advances in Information and Communication Technology. 662:519-532. https://doi.org/10.1007/978-3-031-14844-6_41 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-031-14844-6_41 es_ES
dc.description.upvformatpinicio 519 es_ES
dc.description.upvformatpfin 532 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 662 es_ES
dc.relation.pasarela S\472043 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.description.references Alemany, M.M.E., Esteso, A., Ortiz, Á., 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. 153, 107048 (2021). https://doi.org/10.1016/j.cie.2020.107048 es_ES
dc.description.references Tweeten, L., Thompson, S.R.R.: Long-term global agricultural output supply-demand balance and real farm and food prices. Farm Policy J. 6, 1–16 (2009) es_ES
dc.description.references Zaraté, P., Alemany, M.M.E., del Pino, M., Alvarez, A.E., Camilleri, G.: 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. In: Freitas, P.S.A., Dargam, F., Moreno, J.M. (eds.) EmC-ICDSST 2019. LNBIP, vol. 348, pp. 83–94. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18819-1_7 es_ES
dc.description.references Huka, H., Ruoja, C., Mchopa, A.: Price fluctuation of agricultural products and its impact on small scale farmers development: case analysis from Kilimanjaro Tanzania. Eur. J. Bus. Manag. 6, 155–160 (2014) es_ES
dc.description.references Ahumada, O., Villalobos, J.R., Mason, A.N.: 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 Najafabadi, M.M., Ziaee, S., Nikouei, A., Ahmadpour Borazjani, M.: Mathematical programming model (MMP) for optimization of regional cropping patterns decisions: a case study. Agric. Syst. 173, 218–232 (2019). https://doi.org/10.1016/j.agsy.2019.02.006 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. 30, 1101–1127 (2022). https://doi.org/10.1007/s10100-021-00751-8 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem