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Technical Note—Forest Outturn Optimization by Dantzig-Wolfe Decomposition and Dynamic Programming Column Generation

Author

Listed:
  • G. Eng

    (D.S.I.R., Applied Mathematics Division, Wellington, New Zealand)

  • H. G. Daellenbach

    (University of Canterbury, Christchurch, New Zealand)

Abstract

In this paper, we show how Dantzig-Wolfe decomposition, with delayed column generation by means of dynamic programming, can be used to determine the optimal set of bucking policies for entire stands of trees. Determined in this way, the bucking policies are consistent with wood resource qualities and quantities and end use product requirements, and represent the activities of a linear programming model that covers supply and demand constraints. We determine optimal bucking policies using dynamic programming techniques.

Suggested Citation

  • G. Eng & H. G. Daellenbach, 1985. "Technical Note—Forest Outturn Optimization by Dantzig-Wolfe Decomposition and Dynamic Programming Column Generation," Operations Research, INFORMS, vol. 33(2), pages 459-464, April.
    • Handle: RePEc:inm:oropre:v:33:y:1985:i:2:p:459-464
    DOI: 10.1287/opre.33.2.459
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    Cited by:

    1. Satyaveer Chauhan & J.-M. Frayret & Luc LeBel, 2011. "Supply network planning in the forest supply chain with bucking decisions anticipation," Annals of Operations Research, Springer, vol. 190(1), pages 93-115, October.

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