Profile Charts for Monitoring Lumber Manufacturing Using Laser Range Sensor Data

References

• Coleman, D. E. (1989). “Generalized Control Charting”, in Statistical Process Control in Automated Manufacturing, edited by J. B. Keats and N. F. Hubele. Marcel Dekker, New York, NY.
   Google Scholar
• Fujiwara, Y.; Fujii, Y.; Sawada, Y.; and Okumura, S. (2001). “Development of a Parameter to Reflect the Roughness of a Wood Surface that Corresponds to Tactile Roughness”. Holz als Roh- und Werkstoff 59, pp. 351–355.
   Google Scholar
• Funck, J. W.; Forrer, J. B.; Butler, D. A.; Brunner, C. C.; and Maristany, A. G. (1993). “Measuring Surface Roughness on Wood: A Comparison of Laser Scatter and Stylus Tracing Approaches”, in Industrial Applications of Optical Inspection, Metrology, and Sensing; Proceedings of the Meeting, Boston, MA, Nov. 19, 20, 1992. SPIE–The International Society for Optical Engineering, Bellingham, WA (SPIE Proceedings. Vol. 1821), pp. 173–184.
   Google Scholar
• Funck, J. W.; Gabner, F. A.; and Aslam, F. (1992). “Using Image Analysis for Lumber Size Control Measurements”. Industrial Metrology 2, pp. 237–252.
   Google Scholar
• Grimshaw, S. D. and Alt, F. B. (1997). “Control Charts for Quantile Function Values”. Journal of Quality Technology 29 (1), pp. 1–7.
   Google Scholar
• Kang, L. and Albin, S. L. (2000). “On-Line Monitoring When the Process Yields a Linear Profile”. Journal of Quality Technology 35 (3), pp. 317–328.
   Google Scholar
• Keats, J. B.; Del Castillo, E.; Von Collani, E.; and Saniga, E. M. (1997). “Economic Modeling for Statistical Process Control”. Journal of Quality Technology 29 (2), pp. 144–147.
   Web of Science ®Google Scholar
• Kim, K.; Mahmoud, M. A.; and Woodall, W. H. (2003). “On the Monitoring of Linear Profiles”. Journal of Quality Technology 35 (3), pp. 317–328.
   Web of Science ®Google Scholar
• Lemaster, R. L. and Taylor, J. B. (1999). “High Speed Surface Assessment of Wood and Wood-Based Composites”. Presented at 14th International Wood Machining Seminar, September 12–19, Epinal, France.
   Google Scholar
• Levinson, W. A. (1997). “Watch Out for Non-Normal Distributions of Impurities”. Chemical Engineering Progress 93 (5), pp. 70–76.
   Web of Science ®Google Scholar
• Mahmoud, M. A. and Woodall, W. H. (2004). “Phase I Analysis of Linear Profiles with Calibration Applications”. Technometrics 46 (4), pp. 377–391.
   Web of Science ®Google Scholar
• Maness, T. C. (1993). “Real-Time Quality Control System for Automated Lumbermills”. Forest Products Journal 43 (7/8), pp. 17–22.
   Google Scholar
• Maness, T. C.; Kozak, R. A.; and Staudhammer, C. L. (2003). “Applying Real-Time Statistical Pprocess Control to Manufacturing Processes Exhibiting Between and Within Part Ssize Variability in the Wood Products Industry”. Quality Engineering 16 (1), pp. 113–125.
   Google Scholar
• Maness, T. C.; Kozak, R. A.; and Staudhammer, C. L. (2004). “Reliability Testing of Statistical Process Control Procedures for Manufacturing with Multiple Sources of Variation”. Wood and Fiber Science 36 (3), pp. 443–458.
   Google Scholar
• Mastrangelo, C. M.; Porter, J. M.; and Baxley, R. V. (2001). “Multivariate Process Monitoring for Nylon Fiber Production”, in Frontiers in Statistical Quality Control, edited by H. J. Lenz and T. Wilrich. Springer-Verlag, Heidelberg, Germany.
   Google Scholar
• Montgomery, D. C. (2001). Introduction to Statistical Quality Control, 4th ed. John Wiley & Sons, New York, NY.
   Google Scholar
• Montgomery, D. C. and Mastrangelo, C. M. (1991). “Some Statistical Process Control Methods for Autocorrelated Data”. Journal of Quality Technology 23, pp. 179–193.
   Web of Science ®Google Scholar
• Nelson, L. S. (1999). “Notes on the Shewhart Control Chart”. Journal of Quality Technology 31 (1), pp. 124–126.
   Google Scholar
• Padgett, W. J. and Spurrier, J. D. (1990). “Shewhart-Type Charts for Percentiles of Strength Distributions”. Journal of Quality Technology 22 (4), pp. 283–290.
   Web of Science ®Google Scholar
• Raja, J.; Muralikrishnan, B.; and Fu, S. (2002). “Recent Advances in Separation of Roughness, Waviness, and Form”. Precision Engineering 26 (2), pp. 222–235.
   Web of Science ®Google Scholar
• Rasmussen, H. K.; Kozak, R. A.; and Maness, T. C. (2004). “An Analysis of Machine Caused Lumber Shape Defects in British Columbia Sawmills.” Forest Products Journal 54 (6), pp. 47–56.
   Web of Science ®Google Scholar
• Sandak, J.; Tanaka, C.; and Ohtani, T. (2003). “Evaluation of Surface Smoothness by a Laser Displacement Sensor 1: Effect of Wood Species”. Journal of Wood Science 49, pp. 305–311.
   Web of Science ®Google Scholar
• SAS Institute (2002). SAS/STAT User's Guide, Version 8.2. SAS Publishing, Cary, NC.
   Google Scholar
• Schajer, G. S. (1989). “The Importance of Circular Saw Tensioning”. Forest Industries/World Wood Technical Report (Sawing Technology), pp. T14–T16.
   Google Scholar
• Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand, New York, NY.
   Google Scholar
• Staudhammer, C. L.; LeMay, V. M.; Maness, T. C.; and Kozak, R. A. (2005). “Mixed-Model Development of Real-time Statistical Process Control Data in Wood Products Manufacturing”. Forest Biometry, Modelling, and Information Sciences 1, pp. 19–35.
   Google Scholar
• Staudhammer, C. L.; Maness, T. C.; and Kozak, R. A. (2006). “SPC Methods for Detecting Simple Sawing Defects Using Real-Time Laser Range Sensor Data”. Wood and Fiber Science, 54 (6), in press.
   Google Scholar
• Vander Wiel, S. A. (1996). “Monitoring Processes That Wander Using Integrated Moving Average Models”. Technometrics 38 (2), pp. 139–151.
   Web of Science ®Google Scholar
• Vermaat, M. B.; Ion, R. A.; Does, R. J. M. M.; and Klaassen, C. A. J. (2003). “A Comparison of Shewhart Individuals Control Charts Based on Normal, Non-Parametric, and Extreme-Value Theory”. Quality and Reliability Engineering International 19, pp. 337–353.
   Web of Science ®Google Scholar
• Wheeler, D. J. (1995). Advanced Topics in Statistical Process Control. SPC Press, Knoxville, TN.
   Google Scholar
• Willemain, T. R. and Runger, G. C. (1996). “Designing Control Charts Using an Empirical Reference Distribution”. Journal of Quality Technology 28, pp. 31–38.
   Web of Science ®Google Scholar
• Woodall, W. H.; Spitzner, D. J.; Montgomery, D. C.; and Gupta, S. (2004). “Using Control Charts to Monitor Process and Product Quality Profiles”. Journal of Quality Technology 36 (3), pp. 309–320.
   Web of Science ®Google Scholar
• Woodall, W. H. and Thomas, E. V. (1995). “Statistical Process Control with Several Components of Common Cause Variability”. IIE Transactions 27 (6), pp. 757–764.
   Web of Science ®Google Scholar
• Young, T. M. and Winistorfer, P. M. (1999). “SPC”. Forest Products Journal 49 (3), pp. 10–17.
   Google Scholar