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Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios

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Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios

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Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á.; Zaraté, P. (2020). Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios. IFIP Advances in Information and Communication Technology. 598:546-559. https://doi.org/10.1007/978-3-030-62412-5_45

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/169028

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Metadatos del ítem

Título: Optimization Models to Improve First Quality Agricultural Production through a Collaboration Program in Different Scenarios
Autor: Esteso, Ana Alemany Díaz, María Del Mar Ortiz Bas, Ángel Zaraté, Pascale
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] Consumers increasingly require products with higher qualities, leading to loss units not meeting these requirements. Collaboration can be used to increase first quality products production and reduce waste generated ...[+]
Palabras clave: Agri-food , Collaboration , Quality , Unfairness , Optimization
Derechos de uso: Reserva de todos los derechos
Fuente:
IFIP Advances in Information and Communication Technology. (issn: 1868-4238 )
DOI: 10.1007/978-3-030-62412-5_45
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-62412-5_45
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/691249/EU/Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems/
Agradecimientos:
The authors acknowledge the partial support of Project 691249, "RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems", funded by the ...[+]
Tipo: Artículo Capítulo de libro

References

Azevedo, S., Silva, M., Matias, J., Dias, G.: The influence of collaboration initiatives on the sustainability of the cashew supply chain. Sustainability 10, 2075 (2018). https://doi.org/10.3390/su10062075

FAO: The future of food and agriculture - Trends and challenges, Rome (2017)

Esteso, A., del Mar E. Alemany, M., Ortiz, Á., Guyon, C.: A collaborative model to improve farmers’ skill level by investments in an uncertain context. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 590–598. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99127-6_51 [+]
Azevedo, S., Silva, M., Matias, J., Dias, G.: The influence of collaboration initiatives on the sustainability of the cashew supply chain. Sustainability 10, 2075 (2018). https://doi.org/10.3390/su10062075

FAO: The future of food and agriculture - Trends and challenges, Rome (2017)

Esteso, A., del Mar E. Alemany, M., Ortiz, Á., Guyon, C.: A collaborative model to improve farmers’ skill level by investments in an uncertain context. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 590–598. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99127-6_51

Sutopo, W., Hisjam, M., Yuniaristanto: An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: Yang, G.-C., Ao, S.-I., Huang, X., Castillo, O. (eds.), IAENG Transaction Engineering Technologies, Special Issue International MultiConference of Engineering and Computer Science 2012. Springer, Netherlands, Dordrecht, pp. 189–202 (2013). https://doi.org/10.1007/978-94-007-5651-9_14

Sutopo, W., Hisjam, M., Yuniaristanto, Kurniawan, B.: A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. In: Proceeding of the World Congress on Engineering 2013, vol. I, pp. 732–736 (2013)

Sutopo, W., Hisjam, M., Yuniaristanto, : An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int. Sch. Sci. Res. Innov. 5, 1588–1592 (2011)

Sutopo, W., Hisjam, M., Yuniaristanto, : An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara, Teknol. 16, 43–50 (2012)

Sutopo, W., Hisjam, M., Yuniaristanto: Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress Engineering and Computer Science WCECS 2013, vol. 2, pp. 1180–1184 (2013)

Wahyudin, R.S., Sutopo, W., Hisjam, M., Yuniaristanto, Kurniawan, B.: An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceeding of the International MultiConference of Engineering and Computer Science, vol II, pp. 877–882 (2015)

Plà, L.M., Sandars, D.L., Higgins, A.J.: A perspective on operational research prospects for agriculture. J. Oper. Res. Soc. 65, 1078–1089 (2014). https://doi.org/10.1057/jors.2013.45

Handayati, Y., Simatupang, T.M., Perdana, T.: Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Res. 8(1), 1–15 (2015). https://doi.org/10.1007/s12159-015-0125-4

Moon, I., Jeong, Y.J., Saha, S.: Investment and coordination decisions in a supply chain of fresh agricultural products. Oper. Res. 20, 1–25. (2018). https://doi.org/10.1007/s12351-018-0411-4

Stadtler, H.: A framework for collaborative planning and state-of-the-art. OR Spectr. 31, 5–30 (2009). https://doi.org/10.1007/s00291-007-0104-5

Hernández, J.E., Lyons, A.C., Poler, R., Mula, J., Goncalves, R.: A reference architecture for the collaborative planning modelling process in multi-tier supply chain networks: a Zachman-based approach. Prod. Plan. Control. 25, 1118–1134 (2014). https://doi.org/10.1080/09537287.2013.808842

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

Esteso, A., Alemany, M.M.E., Ortiz, Á., Peidro, D.: A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements. Comput. Ind. Eng. 124, 180–194 (2018). https://doi.org/10.1016/j.cie.2018.07.025

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