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Multiple-criteria decision-making techniques and their role in livestock ration formulation

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  • Rehman, Tahir
  • Romero, Carlos

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  • Rehman, Tahir & Romero, Carlos, 1984. "Multiple-criteria decision-making techniques and their role in livestock ration formulation," Agricultural Systems, Elsevier, vol. 15(1), pages 23-49.
    • Handle: RePEc:eee:agisys:v:15:y:1984:i:1:p:23-49
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    Cited by:

    1. Mack, Gabriele & Ferjani, Ali & Kranzlein, Tim & Mann, Stefan, 2007. "How Can The Energy Use In Swiss Agriculture Be Assessed In Economic And Ecological Terms?," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7599, German Association of Agricultural Economists (GEWISOLA).
    2. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    3. T Peña & P Lara & C Castrodeza, 2009. "Multiobjective stochastic programming for feed formulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1738-1748, December.
    4. Tozer, P. R. & Stokes, J. R., 2001. "A multi-objective programming approach to feed ration balancing and nutrient management," Agricultural Systems, Elsevier, vol. 67(3), pages 201-215, March.
    5. Torres-Rojo, J. M., 2001. "Risk management in the design of a feeding ration: a portfolio theory approach," Agricultural Systems, Elsevier, vol. 68(1), pages 1-20, April.
    6. Djeumou Fomeni, Franklin, 2018. "A multi-objective optimization approach for the blending problem in the tea industry," International Journal of Production Economics, Elsevier, vol. 205(C), pages 179-192.
    7. Castrodeza, Carmen & Lara, Pablo & Pena, Teresa, 2005. "Multicriteria fractional model for feed formulation: economic, nutritional and environmental criteria," Agricultural Systems, Elsevier, vol. 86(1), pages 76-96, October.
    8. Jaka ZGAJNAR & Stane KAVCIC, 2016. "Optimal allocation of production resources under uncertainty: Application of the muliticriteria approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(12), pages 556-565.
    9. Notte, Gastón & Pedemonte, Martín & Cancela, Héctor & Chilibroste, Pablo, 2016. "Resource allocation in pastoral dairy production systems: Evaluating exact and genetic algorithms approaches," Agricultural Systems, Elsevier, vol. 148(C), pages 114-123.
    10. J. Žgajnar & L. Juvančič & S. Kavčič, 2009. "Combination of linear and weighted goal programming with penalty function in optimisation of a daily dairy cow ration," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 55(10), pages 492-500.
    11. Babic, Zoran & Peric, Tunjo, 2011. "Optimization of livestock feed blend by use of goal programming," International Journal of Production Economics, Elsevier, vol. 130(2), pages 218-223, April.
    12. Gerdessen, Johanna C. & Pascucci, Stefano, 2013. "Data Envelopment Analysis of sustainability indicators of European agricultural systems at regional level," Agricultural Systems, Elsevier, vol. 118(C), pages 78-90.
    13. Mack, G. & Ferjani, A. & Kränzlein, T. & Mann, S., 2008. "Wie ist der Energieinput der Schweizer Landwirtschaft aus ökonomischer und ökologischer Sicht zu beurteilen?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
    14. Zgajnar, Jaka & Kavcic, Stane, 2011. "Weighted Goal Programming and Penalty Functions: Whole-farm Planning Approach Under Risk," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 118033, European Association of Agricultural Economists.
    15. Rosshairy Abd. Rahman & Graham Kendall & Razamin Ramli & Zainoddin Jamari & Ku Ruhana Ku-Mahamud, 2017. "Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling Constraints," Complexity, Hindawi, vol. 2017, pages 1-12, November.

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