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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 | 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 |
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