- -

Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests

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 Iannacone, Rina es_ES
dc.date.accessioned 2023-11-13T19:03:00Z
dc.date.available 2023-11-13T19:03:00Z
dc.date.issued 2022-12 es_ES
dc.identifier.issn 0307-904X es_ES
dc.identifier.uri http://hdl.handle.net/10251/199568
dc.description.abstract [EN] The planting and harvesting of medicinal plants have characteristics that differentiate them from other crop types and complicate their planning. For example, drug processors do not require large quantities of product to be harvested but have a high concentration of active molecules. There is no evidence for any optimization tool to support the planting and harvesting of such plants. Given this sector's importance and its impact on populations¿ health, it is necessary to develop solutions to increase the sustainability of their supply chains. This paper aims to bridge this gap by proposing a conceptual framework to characterize a crop planting and harvesting planning problem, and a multi-objective optimization model for the planning of planting, harvesting, post-harvesting, distribution and storage of medicinal plants with variable concentrations of molecules and minimum time between harvests. The model optimizes three objectives aligned with sustainability: supply chain costs, concentration of molecules in plants, farmers¿ perceived economic unfairness. It is validated by its application to a case study of medicinal plants in the Basilicata region (Italy). The ¿-constraint method is used to obtain 11 non dominated solutions showing the possibility of eliminating farmers¿ perception of economic unfairness by maintaining similar values for supply chain costs and concentrations of active molecules when planning the production of medicinal plants. Finally, the TOPSIS method is applied to select the best plan to be implemented into the supply chain. es_ES
dc.description.sponsorship We acknowledge the support of 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 H2020 Marie Sklodowska-Curie Actions. We also thank Dr. Domenico Cerbino for his valuable contribution to the biology/cultivation techniques of the MPs, and EVRA srl (www.evraitalia.it) for supporting the MP value chain. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Applied Mathematical Modelling es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Planting es_ES
dc.subject Harvesting es_ES
dc.subject Planning es_ES
dc.subject Medicinal plants es_ES
dc.subject Multi-objective optimization es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.apm.2022.07.023 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.; Iannacone, R. (2022). Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests. Applied Mathematical Modelling. 112:136-155. https://doi.org/10.1016/j.apm.2022.07.023 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.apm.2022.07.023 es_ES
dc.description.upvformatpinicio 136 es_ES
dc.description.upvformatpfin 155 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 112 es_ES
dc.relation.pasarela S\469979 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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

Mostrar el registro sencillo del ítem