- -

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

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

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

Mostrar el registro completo del ítem

Zaraté, P.; Alemany Díaz, MDM.; Del Pino, M.; Esteso, A.; Camilleri, G. (2019). 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. Lecture Notes in Business Information Processing. 348:83-94. https://doi.org/10.1007/978-3-030-18819-1_7

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/159143

Ficheros en el ítem

Metadatos del ítem

Título: 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
Autor: Zaraté, Pascale Alemany Díaz, María Del Mar del Pino, Mariana Esteso, Ana Camilleri, Guy
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] Decision making for farms is a complex task. Farmers have to fix the price of their production but several parameters have to be taken into account: harvesting, seeds, ground, season etc. This task is even more difficult ...[+]
Palabras clave: Centralized optimization model , Group decision support system , AgriBusiness
Derechos de uso: Reserva de todos los derechos
Fuente:
Lecture Notes in Business Information Processing. (issn: 1865-1348 )
DOI: 10.1007/978-3-030-18819-1_7
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/978-3-030-18819-1_7
Título del congreso: 5th International Conference on Decision Support System Technology (ICDSST 2019)
Lugar del congreso: Madeira, Portugal
Fecha congreso: Mayo 27-29,2019
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/
info:eu-repo/grantAgreement/MECD//FPU15%2F03595/ES/FPU15%2F03595/
Agradecimientos:
The authors acknowledge the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding ...[+]
Tipo: Artículo Comunicación en congreso Capítulo de libro

References

Tweeten, L., Thompson, S.: Long-term global agricultural output supply-demand balance. Farm Policy J. 6(1), 1–16 (2009)

Weintraub, A., Romero, C.: Operations research models and the management of agricultural and forestry resources: a review and comparison. Interfaces (Provid.) 36, 446–457 (2006). https://doi.org/10.1287/inte.1060.0

Alemany, M.M.E., Grillo, H., Ortiz, A., Fuertes-Miquel, V.S.: A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Appl. Math. Model. 39, 4463–4481 (2015). https://doi.org/10.1016/j.apm.2014.12.057 [+]
Tweeten, L., Thompson, S.: Long-term global agricultural output supply-demand balance. Farm Policy J. 6(1), 1–16 (2009)

Weintraub, A., Romero, C.: Operations research models and the management of agricultural and forestry resources: a review and comparison. Interfaces (Provid.) 36, 446–457 (2006). https://doi.org/10.1287/inte.1060.0

Alemany, M.M.E., Grillo, H., Ortiz, A., Fuertes-Miquel, V.S.: A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Appl. Math. Model. 39, 4463–4481 (2015). https://doi.org/10.1016/j.apm.2014.12.057

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

Zaraté, P., Kilgour, D.Marc, Hipel, K.: Private or common criteria in a multi-criteria group decision support system: an experiment. In: Yuizono, T., Ogata, H., Hoppe, U., Vassileva, J. (eds.) CRIWG 2016. LNCS, vol. 9848, pp. 1–12. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44799-5_1

Nunamaker Jr., J.F., Applegate, L.M., Konsynski, B.R.: Facilitating group creativity: experience with a group decision support system. J. Manag. Inf. Syst. 3(4), 5–19 (1987)

Perini, A., Susi, A.: Developing a decision support system for integrated production in agriculture. Environ. Model Softw. 19(9), 821–829 (2004)

Dania, W.A.P., Xing, K., Amer, Y.: Collaboration behavioural factors for sustainable agri-food supply chains: a systematic review. J. Clean. Prod. 186, 851–864 (2018)

Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. Int. J. Prod. Res. 56(13), 4418–4446 (2018)

Simatupang, T.M., Sridharan, R.: The collaboration index: a measure for supply chain collaboration. Int. J. Phys. Distrib. Logist. Manag. 35(1), 44–62 (2005)

Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2009)

Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Agrifood supply chain management: a comprehensive hierarchical decision-making framework and a critical taxonomy. Biosyst. Eng. 120, 47–64 (2014)

Alemany, M.M.E., Alarcón, F., Lario, F.C., Boj, J.J.: An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Comput. Ind. 62(5), 519–540 (2011)

Handayati, Y., Simatupang, T.M., Perdana, T.: Agri-food supply chain coordination: the state-of-the-art and recent developments. Logist. Res. 8(1), 1–15 (2015)

Mason, A.N., Villalobos, J.R.: Coordination of perishable crop production using auction mechanisms. Agric. Syst. 138, 18–30 (2015)

Behzadi, G., O’Sullivan, M.J., Olsen, T.L., Zhang, A.: Agribusiness supply chain risk management: a review of quantitative decision models. Omega (U. K.) 79, 21–42 (2018)

Plà, L., Sandars, D., Higgins, A.: A perspective on operational research prospects for agriculture. J. Oper. Res. Soc. 65, 1078–1089 (2014)

Dania, W.A.P., Xing, K., Amer, Y.: Collaboration and sustainable agri-food suply chain: a literature review. In: MATEC Web Conference, vol. 58 (2016)

Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., Piramuthu, S.: Recent advances and opportunities in sustainable food supply chain: a model-oriented review. Int. J. Prod. Res. 7543, 1–23 (2018)

Porata, R., Lichtera, A., Terryb, L.A., Harkerc, R., Buzbyd, J.: Postharvest losses of fruit and vegetables during retail and in consumers’ homes: quantifications, causes, and means of prevention. Postharvest Biol. Technol. 139, 135–149 (2018)

Ehrgott, M.: Multicriteria Optimization. Springer, Heidelberg (2005)

Mavrotas, G.: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Appl. Math. Comput. 213(2), 455–465 (2009)

«Decision Maker» de Borda Institute. http://www.decision-maker.org/content/voting-systems . Accessed Jan 2017

[-]

recommendations

 

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

Mostrar el registro completo del ítem