Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Decision Support Systems IX: Main Developments and Future Trends (EmC-ICDSST 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 348))

Included in the following conference series:

Abstract

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 when a group of farmers must make the decision. Generally, optimization models support the farmers to find no dominated solutions, but the problem remains difficult if they have to agree on one solution. In order to support the farmers for this complex decision we combine two approaches. We firstly generate a set of no dominated solutions thanks to a centralized optimization model. Based on this set of solution we then used a Group Decision Support System called GRUS for choosing the best solution for the group of farmers. The combined approach allows us to determine the best solution for the group in a consensual way. This combination of approaches is very innovative for the Agriculture domain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

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

    Google Scholar 

  2. 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

    Article  Google Scholar 

  3. 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

    Article  MathSciNet  Google Scholar 

  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

    Article  MathSciNet  MATH  Google Scholar 

  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

    Chapter  Google Scholar 

  6. 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)

    Article  Google Scholar 

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

    Article  Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. 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)

    Article  Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. 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)

    Article  Google Scholar 

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

    Article  Google Scholar 

  16. 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)

    Article  Google Scholar 

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

    Article  Google Scholar 

  18. 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)

    Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. 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)

    Article  Google Scholar 

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

    MATH  Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

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

Download references

Acknowledgment

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 scheme H2020-MSCA-RISE-2015.

One of the authors acknowledges the partial support of the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595).

ANNEX 1

Author information

Authors and Affiliations

  1. IRIT, Toulouse University, Toulouse, France

    Pascale Zaraté & Guy Camilleri

  2. CIGIP, Universitat Politècnica de València, Camino de Vera S/N, 46002, Valencia, Spain

    MME Alemany & Ana Esteso Alvarez

  3. FCAyF UNLP, La Anunciación - Huerta Orgánica, La Plata, Argentina

    Mariana del Pino

Authors
  1. Pascale Zaraté
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. MME Alemany
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mariana del Pino
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ana Esteso Alvarez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Guy Camilleri
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pascale Zaraté .

Editor information

Editors and Affiliations

  1. Universidade da Madeira, Funchal, Madeira, Portugal

    Paulo Sérgio Abreu Freitas

  2. SimTech Simulation Technology, Graz, Austria

    Fatima Dargam

  3. University of Zaragoza, Zaragoza, Spain

    José Maria Moreno

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zaraté, P., Alemany, M., del Pino, M., Alvarez, A.E., 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. In: Freitas, P., Dargam, F., Moreno, J. (eds) Decision Support Systems IX: Main Developments and Future Trends. EmC-ICDSST 2019. Lecture Notes in Business Information Processing, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-18819-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-18819-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18818-4

  • Online ISBN: 978-3-030-18819-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation