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

G. Eng and H. G. Daellenbach
Additional contact information
G. Eng: D.S.I.R., Applied Mathematics Division, Wellington, New Zealand
H. G. Daellenbach: University of Canterbury, Christchurch, New Zealand

Operations Research, 1985, vol. 33, issue 2, 459-464

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.

Keywords: 112 optimal cross-cutting of trees into logs; 299 supply and demand modeling; 683 decomposition using delayed column generation (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.33.2.459 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:33:y:1985:i:2:p:459-464

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().