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An Operations Research Approach to the Problem of the Sugarcane Selection

Author

Listed:
  • Vanja Calija
  • Andrew Higgins
  • Phillip Jackson
  • Leone Bielig
  • Danny Coomans

Abstract

Selection for superior clones is the most important aspect of sugar cane improvement programs, and is a long and expensive process. While studies have investigated different components of selection independently, there has not been a whole system approach to improve the process. This study observes the problem as an integrated system, where if one parameter changes the state of the whole system changes. A computer based stochastic simulation model that accurately represents the selection was developed. This paper describes the simulation model, showing its accuracy as well as how a combination of dynamic programming and branch and bound can be applied to the model to optimise the selection system, giving a new application of these techniques. The model can be directly applied to any region targeted by sugarcane breeding programs or to other clonally propagated crops. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Vanja Calija & Andrew Higgins & Phillip Jackson & Leone Bielig & Danny Coomans, 2001. "An Operations Research Approach to the Problem of the Sugarcane Selection," Annals of Operations Research, Springer, vol. 108(1), pages 123-142, November.
    • Handle: RePEc:spr:annopr:v:108:y:2001:i:1:p:123-142:10.1023/a:1016054911470
    DOI: 10.1023/A:1016054911470
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    Citations

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    Cited by:

    1. Helenice de Oliveira Florentino & Chandra Irawan & Angelo Filho Aliano & Dylan F. Jones & Daniela Renata Cantane & Jonis Jecks Nervis, 2018. "A multiple objective methodology for sugarcane harvest management with varying maturation periods," Annals of Operations Research, Springer, vol. 267(1), pages 153-177, August.
    2. Helenice de O. Florentino & Dylan F. Jones & Chandra Ade Irawan & Djamila Ouelhadj & Banafesh Khosravi & Daniela R. Cantane, 2022. "An optimization model for combined selecting, planting and harvesting sugarcane varieties," Annals of Operations Research, Springer, vol. 314(2), pages 451-469, July.
    3. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2016. "Handling uncertainty in agricultural supply chain management: A state of the art," European Journal of Operational Research, Elsevier, vol. 254(2), pages 348-359.

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