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Quality control of non-normal moisture content in kiln-dry lumber - Couverture souple

Ristea, Catalin

 
9783838321011: Quality control of non-normal moisture content in kiln-dry lumber
Couverture souple
ISBN 10 : 3838321014 ISBN 13 : 9783838321011
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Drying lumber with little variation in its target moisture content leads to increased cost savings and reduced wet claims. The variability of moisture content is typically monitored using quality control charts, which graph process central tendency (average) and process dispersion (standard deviation) over time. The usual assumption in constructing and using these charts is that the moisture content follows a normal (Gaussian) statistical distribution. However, due to the nature of the kiln-drying process, the resulting lumber moisture content distribution is often left-bounded and asymmetrical, which is characteristic of a log-normal distribution. In these cases, the normality assumption can lead to errors such as false out-of-control signals. This book outlines graphical and analytical goodness-of-fit methods for assessing the (non)normality of lumber moisture content data, discusses appropriate monitoring parameters for process central tendency and dispersion, and presents practical procedures for calculating the centerline and upper/lower control limits of log-normal control charts.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Drying lumber with little variation in its target moisture content leads to increased cost savings and reduced wet claims. The variability of moisture content is typically monitored using quality control charts, which graph process central tendency (average) and process dispersion (standard deviation) over time. The usual assumption in constructing and using these charts is that the moisture content follows a normal (Gaussian) statistical distribution. However, due to the nature of the kiln-drying process, the resulting lumber moisture content distribution is often left-bounded and asymmetrical, which is characteristic of a log-normal distribution. In these cases, the normality assumption can lead to errors such as false out-of-control signals. This book outlines graphical and analytical goodness-of-fit methods for assessing the (non)normality of lumber moisture content data, discusses appropriate monitoring parameters for process central tendency and dispersion, and presents practical procedures for calculating the centerline and upper/lower control limits of log-normal control charts.

Biographie de l'auteur

Catalin has a B.Sc. in wood industry from Transilvania University, Brasov, Romania, and a M.Sc. in Forestry from The University of British Columbia, Vancouver, Canada with Professor Dr. Thomas C. Maness. He is principal co-author of United States Patent no. 7,043,970 which includes methods described in this book.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838321014
ISBN 13 
9783838321011
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
Personne responsable
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