dc.creator | Adenso-Díaz, Belarmino | es |
dc.creator | Villa Caro, Gabriel | es |
dc.date.accessioned | 2023-01-18T19:25:37Z | |
dc.date.available | 2023-01-18T19:25:37Z | |
dc.date.issued | 2021-09 | |
dc.identifier.citation | Adenso-Díaz, B. y Villa Caro, G. (2021). Crop Planning in Synchronized Crop-Demand Scenarios: A Biobjective Optimization Formulation. Horticulturae, 7 (10), 347. https://doi.org/10.3390/horticulturae7100347. | |
dc.identifier.issn | EISSN 2311-7524 | es |
dc.identifier.uri | https://hdl.handle.net/11441/141532 | |
dc.description.abstract | Crop planning problems have been extensively studied from different perspectives (profit
maximization, optimizing available water use, sustainability, etc.). In this paper, a new approach is
proposed that considers new forms of customer-producer relationship, involving long-term coopera-
tion agreements where the product volumes are agreed, and the demand is guaranteed in advance.
In this context, typical of manufacturing production systems, crop planning must guarantee a given
production level on specific dates, thus becoming deterministic in nature. In that context, this paper
introduces a lexicographic biobjective optimization approach that, in addition to cost minimization,
aims at minimizing the risk of not meeting the agreed demands. The latter is done by maximizing
the geographic dispersion of the crops so that weather risk is mitigated. A number of experiments
have been carried out to test the proposed approach, showing the high complexity of the solution
and opening the door to new solution procedures for a problem that results from interest given to the
new type of relationships in the food logistics chain. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades DPI2017-85343-P | es |
dc.description.sponsorship | Unión Eurepea DPI2017-85343-P | es |
dc.format | application/pdf | es |
dc.format.extent | 12 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Horticulturae, 7 (10), 347. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Crop planning | es |
dc.subject | Lexicographic optimization | es |
dc.subject | Biobjective optimization | es |
dc.subject | Synchronized production | es |
dc.subject | Risk diversification | es |
dc.title | Crop Planning in Synchronized Crop-Demand Scenarios: A Biobjective Optimization Formulation | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I | es |
dc.relation.projectID | DPI2017-85343-P | es |
dc.relation.publisherversion | https://doi.org/10.3390/horticulturae7100347 | es |
dc.identifier.doi | 10.3390/horticulturae7100347 | es |
dc.journaltitle | Horticulturae | es |
dc.publication.volumen | 7 | es |
dc.publication.issue | 10 | es |
dc.publication.initialPage | 347 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |