IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v67y2001i3p201-215.html
   My bibliography  Save this article

A multi-objective programming approach to feed ration balancing and nutrient management

Author

Listed:
  • Tozer, P. R.
  • Stokes, J. R.

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agisys:v:67:y:2001:i:3:p:201-215
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(00)00056-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Lara, Pablo, 1993. "Multiple objective fractional programming and livestock ration formulation: A case study for dairy cow diets in Spain," Agricultural Systems, Elsevier, vol. 41(3), pages 321-334.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oishi, Kazato & Kato, Yohei & Ogino, Akifumi & Hirooka, Hiroyuki, 2013. "Economic and environmental impacts of changes in culling parity of cows and diet composition in Japanese beef cow–calf production systems," Agricultural Systems, Elsevier, vol. 115(C), pages 95-103.
    2. 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.
    3. Lim, Teng & Massey, Ray & McCann, Laura & Canter, Timothy & Omura, Seabrook & Willett, Cammy & Roach, Alice & Key, Nigel & Dodson, Laura, 2023. "Increasing the Value of Manure for Farmers," USDA Miscellaneous 333552, United States Department of Agriculture.
    4. White, Robin R. & Brady, Michael, 2014. "Can consumers’ willingness to pay incentivize adoption of environmental impact reducing technologies in meat animal production?," Food Policy, Elsevier, vol. 49(P1), pages 41-49.
    5. De Matteis, Maria C. & Yu, T. Edward & Boyer, Christopher N. & DeLong, Karen L. & Smith, Jason, 2018. "Economic and environmental implications of incorporating distillers’ dried grains with solubles in feed rations of growing and finishing swine in Argentina," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    6. François Dubeau & Pierre-Olivier Julien & Candido Pomar, 2011. "Formulating diets for growing pigs: economic and environmental considerations," Annals of Operations Research, Springer, vol. 190(1), pages 239-269, October.
    7. 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.
    8. White, Robin R. & Brady, Michael & Capper, Judith L. & Johnson, Kristen A., 2014. "Optimizing diet and pasture management to improve sustainability of U.S. beef production," Agricultural Systems, Elsevier, vol. 130(C), pages 1-12.
    9. White, Robin R., 2016. "Increasing energy and protein use efficiency improves opportunities to decrease land use, water use, and greenhouse gas emissions from dairy production," Agricultural Systems, Elsevier, vol. 146(C), pages 20-29.
    10. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Lara, P. & Stancu-Minasian, I., 1999. "Fractional programming: a tool for the assessment of sustainability," Agricultural Systems, Elsevier, vol. 62(2), pages 131-141, November.
    13. 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.
    14. 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).
    15. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:67:y:2001:i:3:p:201-215. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.