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VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the west Gulf regionAuthor(s): S.J. Chang; Rodney L. Busby; P.R. Pasala; Jeffrey C. Goelz
Source: Res. Pap. SRS-36.Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 18p.
Publication Series: Research Paper (RP)
Station: Southern Research Station
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DescriptionA 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.
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CitationChang, 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.
KeywordsDynamic programming, economics, merchandising, optimization, Pinus elliottii Engelm. var. elliottii
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