Written Paper

Modelling jack pine lumber value recovery in relation to tree characteristics using Optitek simulation  [2006]

Tong, Q.J. Zhang, S.Y.

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This study intended to link tree characteristics to lumber value yield in jack pine. A sample of 154 jack pine trees was measured and scanned, and then sawing was simulated using Optitek with optimized lumber value recovery (LVR) under two sawmill layouts. Simulation results suggest that LVR and total product value recovery (TPVR) increased with diameter at breast height (DBH), and the dimension mill yielded an average of 30 percent more lumber value from an individual tree than did the stud mill. Twelve models of various forms and variable combinations were selected to describe the LVR and TPVR in relation to tree characteristics. Stem volume was found to be the best predictor of LVR and TPVR produced from jack pine for both dimension and stud mills. The second-order polynomial model forms involving either DBH only or both DBH and tree height were able to explain over 95 percent of the total variance in the product value, while the power, exponential, and reciprocal forms did not exhibit statistical adequacy. Model validation using actual LVR data from a real stud mill indicated that three model forms, including two polynomial models involving either DBH exclusively or both DBH and tree height and the two-segmented simple linear model of stem volume, were able to accurately predict jack pine LVR using basic tree measurements or their derived forms from forest inventory data.

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Forest products journal

ISSN : 0015-7473