VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf region

S.J. Chang; Rodney L. Busby; P.R. Pasala; Jeffrey C. Goelz

doi:10.2737/SRS-RP-36

Treesearch

VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf region

Informally Refereed

Authors:

S.J. Chang, Rodney L. Busby, P.R. Pasala, Jeffrey C. Goelz

Year:

2005

Type:

Research Paper

Station:

Southern Research Station

DOI:

https://doi.org/10.2737/SRS-RP-36

Source:

Res. Pap. SRS-36.Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 18p.

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Download (PDF 916 KB): https://research.fs.usda.gov/download/treesearch/20468.pdf

Abstract

A Visual Basic computer model that can be used to estimate the harvestvalue of slash pine plantations in the west gulf region is presented. Themodel uses a dynamic programming algorithm to convert stand tablespredicted by COMPUTE_P-SLASH into a listing of seven products thatmaximizes the harvested value of the stand.

Keywords

Dynamic programming, economics, merchandising, optimization, Pinus elliottii Engelm var elliottii

Citation

Chang, S.J.; Busby, Rodney L.; Pasala, P.R.; Goelz, Jeffrey C. 2005. VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf region. Res. Pap. SRS-36.Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 18p.