Christina Staudhammer, Thomas C. Maness, Robert A. Kozak
Recently introduced laser range sensors (LRS) have greatly increased the amount of data available for statistical process control programs in automated lumber mills. However, current SPC procedures do not take full advantage of data from these systems. A system of control charts is proposed that simultaneously monitors multiple lumber surfaces and specifically targets three common sawing defects. These charts can be used to monitor the slope parameter of a multiple linear regression model and the peak-to-peak waviness of observations from each board. These methods are better at detecting common sawing problems and identifying the causes.
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