An application of statistical process control measures for maintaining optimal quality from dry kiln operations Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c247dx48q

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  • Statistical Process Control techniques have been successfully implemented in the mechanical fabrication and chemical manufacturing industries. The techniques consist of the application of statistical theory in conjunction with quality control procedures. To date the Forest Products industry has yet to apply these techniques toward lumber drying. This thesis focuses on the application of Statistical Process Controls to evaluate the final moisture content of dried lumber and the accuracy of sticker placement by stackers. Computer models, based on real data, were used to produce the necessary quantitative information required to construct X-bar, Range, group, and p charts. These models were modified to reproduce drying and stickering processes that were under control or out of control. From the computer, simulated data control charts were drawn to graphically prove that such charts can be used for quality control purposes when drying or stickering lumber.
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