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  1. SPC handbook for the treated wood industries

    This Statistical Process Control (SPC) Handbook introduces wood preservation industry personnel to the terminology and statistical process control (SPC) tools available for understanding and monitoring industrial processes. For those who want further information, references are provided at the end of each section. The content is for educational purposes only. The use...

    Author(s):
    Timothy M. Young; Patricia K. Lebow; Stan Lebow; Adam Taylor
    Year:
    2019
    Keywords:
    SPC, statistical process control, wood preservation, treatment process variability, control chart, capability analysis
    Source:
    Knoxville, TN: University of Tennessee Institute of Agriculture, Center for Renewable Carbon. 78 p.

  2. Use of small volume cups in XRF analysis of treated wood retention

    Efforts are underway in the United States to improve the conformance of commercially-treated wood with the applicable retention standards. As part of an effort to devise a practical method for on-site assessment of within-charge retention variation, we investigated whether small-volume x-ray fluorescence (XRF) sample cups could be used with treated wood. A range of cup...

    Author(s):
    Rene Stelzer; Adam Taylor; Patricia Lebow
    Year:
    2017
    Keywords:
    Retention, variation, sampling
    Source:
    In: The International Research Group on Wood Protection, Section 2, Test methodology and assessment: Paper prepared for the IRG48 Scientific Conference on Wood Protection. Ghent, Belgium: 2-10.

  3. A protocol for implementing statistical process control in the treated wood industry

    Statistical process control (SPC) is an important strategy for manufacturing organizations seeking improved profitability in highly competitive businesses such as the treated wood industry. SPC is a well-established methodology that focuses on reducing variation of key process parameters. Such variation reduction can result in lower manufacturing costs, improved...

    Author(s):
    Timothy M. Young; Patricia K. Lebow; Grant T. Kirker; Adam Taylor
    Year:
    2018
    Keywords:
    Statistical process control, treated wood, reduced variation, lower targets
    Source:
    In: McCown, C.; Branton, K., eds. Proceedings, 114th annual meeting of the American wood protection association. Birmingham, AL: American Wood Protection Association: 68-79.

  4. Statistical process control for residential treated wood

    This paper is the first stage of a study that attempts to improve the process of manufacturing treated lumber through the use of statistical process control (SPC). Analysis of industrial and auditing agency data sets revealed there are differences between the industry and agency probability density functions (pdf) for normalized retention data. Resampling of batches of...

    Author(s):
    Patricia K. Lebow; Timothy M. Young; Stan Lebow
    Year:
    2017
    Keywords:
    Residential treated lumber, statistical process control, probability density function, largest Extreme Value, natural variation, capability analysis
    Source:
    In: McCowan, C.; Gothard, T.; Staula, B., eds. Proceedings, One hundred thirteenth annual meeting of the American wood protection association. Birmingham, AL: American Wood Protection Association: 234-247.
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