Publications
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Refereed Journals
Submitted
1. Young, T.M., Y. Wang, F.M. Guess, M. Fly and D.G. Hodges. 2008. A comparison linear discriminant analysis with classification trees for a forest landowner survey. Southern Journal of Applied Forestry. Submitted.
2. Crookston, K.A., F.M. Guess, T.M. Young and D. Harper. 2008. A comparison of two wood plastic composite extrusion processes using statistical reliability analysis. Holzforschung. Submitted
3. Edwards, D.J., F.M. Guess, T.M. Young and H. Bensmail. 2008. Bootstrap confidence intervals for percentiles of reliability of modern engineered wood. IIE Transactions. Submitted.
4. Leon, R.V., K.A. Crookston, T.M. Young, and F.M. Guess. 2009. Comparison of two wood plastic composite extruders by means of bootstrap confidence intervals on measurements of sample failure data. Quality and Reliability Engineering Internaitonal. Submitted.
5. Steele, J.C., F.M. Guess, T.M. Young, and D.J. Edwards. 2009. Modern developments and applications of mean residual life in engineering. Reliability Engineering and System Safety. Submitted.
Accepted
6. Young, T.M., J.Chastain, F.M. Guess, and R.V. Leon. 2009 Estimating upper percentiles of strand thickness for oriented strand board. Forest Products Journal. Accepted.
7. Kim, H., F.M. Guess and T.M. Young. 2008. An extension of regression trees to generate better predictive models. IIE Transactions. Accepted.
In Press
8. Chastain, J., T.M. Young, F.M. Guess, H. Bensmail and R.V. Leon. 2009. Using reliability analyses to characterize wood strand thickness for oriented strand board panels. International Journal of Reliability and Application. 10(4): in press.
Published
9. Taylor, A., T.M. Young, and F.M. Guess. 2009. Estimating the error in the moisture content of white oak kiln sample boards. Drying Technology. 27(10): 1235-1239.
10. Muelhbacher, J., A. Taylor, and T.M. Young. 2009. The relative moisture content of sorted, air drying red oak lumber. Forest Products Journal. 59(5):61-62.
11. Young, T.M., D.G. Perhac, F.M. Guess and R.V. León. 2008. Bootstrap confidence intervals for percentiles of reliability data for wood plastic composites. Forest Products Journal. 58 (11):106-114.View Article
12. Young, T.M., L.B. Shaffer, F.M. Guess, H. Bensmail and R.V. León. 2008. A comparison of multiple linear regression and quantile regression for modeling the internal bond of medium density fiberboard. Forest Products Journal. 58(4):39-48. View Article
13. Clapp, N.E., Jr., T.M. Young and F.M. Guess. 2008. Predictive modeling the internal bond of medium density fiberboard using a modified principal component analysis. Forest Products Journal. 58(4):49-55. View Article
14. Shaffer, L.B., T.M. Young, F.M. Guess, H. Bensmail and R.V. León. 2008. Using R software for reliability data analysis. International Journal of Reliability and Application. 9(1):53-70.View Article IJRA Journal Link
15. André, N., H.W. Cho, S.H. Baek, M.K. Jeong and T.M. Young. 2008. Enhanced prediction of internal bond strength in a medium density fiberboard process using multivariate methods and variable selection. Wood Science and Technology.42:521-534. DOI 10.1007/s00226-008-0204-7. View Article
16. Labbé, N., I.S. Swamidoss, N. André, M.Z. Martin, T.M. Young, and T.G. Rials. 2008. Extraction of information from laser-induced breakdown spectroscopy spectral data by multivariate analysis. Applied Optics. 47:G158-G165.
17. Young, T.M., B.H. Bond and J. Wiedenbeck. 2007. Implementation of a real-time statistical process control system in hardwood sawmills. Forest Products Journal. 57(9):54-62.View Article
18. Young, T.M., D.G. Hodges and T.G. Rials. 2007. The forest products economy of Tennessee. Forest Products Journal. 57(4):12-19.View Article
19. Wang, Y., T.M. Young, F.M. Guess and R.V. León. 2007. Exploring reliability of oriented strand board’s tensile and stiffness strengths. International Journal of Reliability and Application. 8(1):113-126.View Article
20. Perhac, D.G., T.M. Young, F.M. Guess and R.V. León. 2007. Exploring reliability of wood-plastic
composites: stiffness and flexural strengths. International Journal of Reliability and Application. 8(2):153-173.View Article
21. André, N., T.M. Young and T.G. Rials. 2006. On-line monitoring of the buffer capacity of particleboard furnish by near-infrared spectroscopy. Applied Spectroscopy. 60(10):1204-1209.
22. Guess, F.M., J.C. Steele, T.M. Young and R.V. León. 2006. Applying novel mean residual life confidence intervals. International Journal of Reliability and Application.
7(2):177-186.View Article
23. Chen, W., R.V. León, T.M. Young and F.M. Guess. 2006. Applying a forced censoring technique with accelerated modeling for improving estimation of extremely small percentiles of strengths. International Journal of Reliability and Application. 7(1):27-39.View Article
24. Guess, F.M., X. Zhang, T.M. Young and R.V. León. 2005. Using mean residual life functions
for unique insights into strengths of materials data. International Journal of Reliability and Application. 6(2):79-85.View Article
25. Gu, H., T.M. Young, W.W. Moschler and B.H. Bond. 2004. Potential sources of variation that influence the final moisture content of kiln dried hardwood lumber. Forest Products Journal. 54(11):65-70.
View Article
26. Wang, S., P.M. Winistorfer and T.M. Young. 2004. Fundamentals of vertical density profile formation in wood composites – Part 3. MDF density formation during hotpressing. Wood and Fiber Science. 36(1):17-25.View Article
27. Guess, F.M., R.V. Leon, W. Chen, and T.M. Young. 2004. Forcing a closer fit in the lower tails of a distribution for better estimating extremely small percentiles of strengths. International Journal of Reliability and Applications. 5(4): 129-145.View Article
28. Guess, F.M., D.J. Edwards, T.M. Pickrell and T.M. Young. 2003. Exploring graphically and statistically the reliability of medium density fiberboard. International Journal of Reliability and Application. 4(4):157-170.View Article
29. Young, T.M. and F.M. Guess. 2002. Developing and mining higher quality information in automated relational databases for forest products manufacture. International Journal of Reliability and Application. 3(4):155-164.View Article
30. Young, T.M. and F.M. Guess. 2002. A statistical analysis of tree-harvesting worker safety. International Journal of Reliability and Application. 3(2):59-79.View Article
31. Young, T.M. and P.M. Winistorfer. 2001. The effects of autocorrelation on real-time statistical process control with practical solutions for the forest products industry. Forest Products Journal. 51(12):70-77.View Article
32. Wang, S., P.M. Winistorfer, T.M. Young, and C. Helton. 2001. Step-closing pressing of medium density fiberboard. Part 2: Influences on the panel performance and layer characteristics. Holz als Roh-und Werkstoff. 59(5):311-318.View Abstract
33. Wang, S., P.M. Winistorfer, T.M. Young, and C. Helton. 2001. Step-closing pressing of medium density fiberboard. Part 1: Influence on the vertical density profile. Holz als Roh-und Werkstoff. 59(1/2):19-26.View Abstract
34. Young, T.M., P.M. Winistorfer and S. Wang. 1999. Multivariate control charts of vertical density profile attributes. Forest Products Journal. 49(5):79-86.View Article
35. Young, T.M. and P.M. Winistorfer. 1999. Statistical process control and the forest products industry. Forest Products Journal. 49(3):10-17.View Article
36. Winistorfer, P.M., T.M. Young and E. Walker. 1996. Modeling and comparing vertical density profiles. Wood and Fiber Science. 28(1):133-141.View Article
37. Young, T.M. and F.M. Guess. 1994. Reliability processes and corporate structures. Microelectronics and Reliability. 34(6):1107-1119.
38. Idassi, J.O., T.M. Young, P.M. Winistorfer, D.M. Ostermeier and R.B. Woodruff. 1994. A customer-oriented marketing method for hardwood lumber companies. Forest Products Journal. 44(7/8):67-73.View Article
39. Graveel, J.G., T.M. Young, M. Balbach, D.A. Munn and J.S. Panter. 1993. Journal of Natural Resources and Life Sciences Education: why the new title and scope? Journal of Natural Resources and Life Sciences Education. 22(2):81-86.View Article
40. Young, T.M., D.M. Ostermeier, J.D. Thomas and R.T. Brooks. 1991. The economic availability of woody biomass for the Southeastern United States. Bioresources Technology. 37(1):7-16.View Article
41. Young, T.M., D.M. Ostermeier and D.W. Domenech. 1988. Average wood chip trucking costs for the Southeastern United States. Southern Journal of Applied Forestry. 12(4):267-269.View Article
42. Ostermeier, D.M., T.M. Young and L.A. Weaver. 1988. Fossil-fuel-using industries: their awareness and perceptions of wood energy. Forest Products Journal. 38(10):53-58.View Article
43. Young, T.M. and D.M. Ostermeier. 1986. A survey of nonforest products industrial wood energy users. Forest Products Journal. 37(2):57-61.View Article
44. Boungiorno, J.B. and T.M. Young. 1984. Statistical appraisal of timber with an application to the Chequamegon National Forest. Northern Journal of Applied Forestry. 1(4):72-76.View Article
Books
Contributions
1. Steele, J.C., F.M. Guess, T.M. Young, and D.J. Edwards. 2009. Mean residual life. Springer's Internaitonal Lexicon of Statistical Sciences. Accepted.
2. Singh, M., F.M. Guess, T.M. Young, and L. Liu. 2009. Dynamic system simulations of randomness for decision making. International Encyclopedia of Statistical Science. Springer, New York. Submitted.
Refereed Proceedings
1. Young, T.M. and A.M. Taylor. 2007. Real-time statistical process control and components of variance systems for reducing lumber thickness variation in hardwood sawmills. International Scientific Conference on Hardwood Processing, September 24-26, 2007 Quebec City, Canada. pgs. 171-180. Proceedings on-line at www.ischp.ca/pdf/ISCHP_Proceedings.pdf
2. Taylor A.M., T.M. Young, C. Steiner and M.K. Jeong. 2007. Hardwood lumber manufacturing optimization using NIR spectroscopy. International Scientific Conference on Hardwood Processing, September 24-26, 2007 Quebec City, Canada. pgs. 157-163. Proceedings on-line at www.ischp.ca/pdf/ISCHP_Proceedings.pdf
3. Young, T.M. and P.M. Winistorfer. 1999. Advanced information technology and chip quality improvement. TAPPI 1999 Pulping Conference. 3:871-880.
Proceedings
1. Young, T.M., A.J. Hartsell, J.H. Perdue, D.G. Hodges, R.C. Abt, and T.G. Rials. 2009. A real-time, web-based optimal biomass site assessment tool (BioSAT) - An economic assessment of biomass for the 33 eastern United States. Proc. International Conference on Woody Biomass Utilization. Mississippi State University, Starkville, MS. In Press
2. Hartsell, A.J.,T.M. Young, D.G. Hodges, and J.H. Perdue. 2009. A biomass site assessement tool- developing a real-time, economic-based program for the web. Proc. of 2009 Southern Forest Economic Workshop. Chapel Hill, NC. In Press.
3. Young, T.M., J.H. Perdue, A. Hartsell, D.G. Hodges and T.G. Rials. 2008. Optimal siting for biorefineries using the Biomass Siting Analysis Tool (BioSAT). 2008 Forest Inventory and Analysis Symposium. Oct. 21-23. Park City, UT. In Press.
4.Young, T.M., Y. Wang, D.G. Hodges and F.M. Guess. 2008. Decision tree applications for forestry and forest products manufacturers. Proc. of 2008 Southern Forest Economics Workshop. Savannah, GA. Ed. Tommy Tye. Center for Forest Business, University of Georgia, Athens. In Press.
5. Young, T.M. and B.H. Bond. 2006. Applications of real-time statistical process control and other statistical methods for improved lumber drying quality. Proc. Quality Drying for the 21st Century: Energy and Market Realities. Bellingham, WA. November 15-17, 2006. Forest Products Society. Madison, WI. p. 123-130.
6. Young, T.M. and T.G. Rials. 2005. Real-time statistical process control systems for sawmills. Proc. of the SawTech 2005. The 9th International Conference on Sawing Technology.Las Vegas, NV. p. 25-42.
7. Young, T.M., N. André and C.W. Huber. 2004. Predictive modeling of the internal bond of MDF using genetic algorithms with distributed data fusion. Proc. 8th European Panel Products Symposium. Llandudno, United Kingdom. p. 45-59.
8. Young, T.M. and C.W. Huber. 2004. Predictive modeling of the physical properties of wood composites using genetic algorithms with considerations for distributed data fusion. Proc. of the 38th International Particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. p. 145-153.
9. Young, T.M. 2002. Statistical process control applications for pressline parameters and products. Composite Panels Association 2002 Pressline Technology Seminar Proceedings. Composite Panel Association. Gaithersburg, MD. p. 374-393. View Article
10. Young, T.M., B.H. Bond and J. Wiedenbeck. 2002. Reducing lumber thickness variation using real-time statistical process control. Current Topics in the Processing and Utilization of Hardwood Lumber. Proc. of 30th National Hardwood Lumber Association Annual Meeting. Fall Creek Falls, TN. p. 103-113. View Article
11. Young, T.M., B.H. Bond, P.M. Winistorfer and J.D. Cox. 2000. Statistical process control for sawmills. Proc. of the 28th Annual Hardwood Symposium. (West Virginia Now The Future for the Hardwood Industry?). National Hardwood Lumber Association. Canaan, WV. p. 31-42
12. Young, T.M., P.M. Winistorfer and T.A. McKinney 1999. Continuous improvement strategies for MDF manufacture. Proc. of the 33rd International Particleboard Composite Materials Symposium. Washington State University. Pullman, WA. p. 67-77. View Article
13. Young, T.M. and P.M. Winistorfer. 1998. Recovering more from your hardwood lumber: reducing thickness variation. Proc. of the 26th Annual Hardwood Symposium (Technology and Market Information for the Next Millennium). National Hardwood Lumber Association. Cashiers, NC. p. 109-120.
14. Young, T.M. 1997. Estimation of variance components using control charts with applications in MDF manufacturing. Proc. 3rd South Carolina Statewide Quality Conference. Myrtle Beach, SC.
15. Young, T.M. 1996. Process improvement through “real-time” statistical process control in MDF manufacture. Proc. of Process and Business technologies for the Forest Products Industry. Forest Products Society, Madison, WI. p. 50-51.
16. Young, T.M., D.M. Ostermeier, J.D. Thomas and R.T. Brooks. 1989. Economic availability of woody biomass fuel chips for 13 southeastern United States. Proc. International Energy Agency (Task VI, Activity 2, Integrated Harvesting Systems Workshop). New Orleans, LA. p. 45-60.
17. Young, T.M., D.M. Ostermeier and R.W. Mulach. 1989. Simulation of harvesting systems for economic supply models. Proc. (Task VI, Activity 3, Harvesting Small Trees and Forest Residues). Auburn, AL. p. 170-183.
18. Young, T.M., J.D. Thomas and D.T. Curtin. 1988. Industrial fuel-chip supply simulator (IFCHIPSS). Proc. Harvesting Machines and Systems Evaluation Workshop. Blacksburg, VA. p. 82-91.
19. Young, T.M., R.W. Mulach and D.M. Ostermeier. 1987. IFCHIPSS: Industrial Fuel Chip Supply Simulator - An overview of its structure. Proc. Ninth Annual Southern Forest Biomass Workshop. Gulfport, MS. p. 186-201.
20. Weaver, L.A. and T.M. Young. 1986. Market constraints to industrial wood energy use in the southeastern United States. Proc. Eighth Annual Southern Biomass Research Conference. Knoxville, TN. p. 133-145.
21. Young, T.M. 1985. A market segmentation strategy for the industrial wood energy market. Proc. 15th Annual Southern Forest Economic Workshop. Athens, GA. p. 90-100.
22. Young, T.M., D.M. Ostermeier and D.F. Walsh. 1985. Energy market assessment for woody biomass. Proc. Energy from Biomass: Building on a Generic Technology Data Base. Argonne National Laboratory Pub. ANL/CNSV-TM-157. Argonne, IL. p. 223-234.
23. Young, T.M. and D.M. Ostermeier. 1984. Information sources available for evaluating changes in forest land ownership and forest land use. Proc. 14th Annual Southern Forest Economics Workshop. Memphis, TN. p. 131-142.
Technical Abstracts without Proceedings
1. Young, T.M., S.Wang, and Y. Wu. 2009. Modeling wood composite properties and processes using regression trees. 16th International Symposium on Nondestructive Testing and Evaluation of Wood, Beijing, China, Oct. 15-16, 2009.
2. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges, and T.G. Rials. 2009. A real-time web-based optimal Biomass Site Assessment Tool (BioSAT)/ Module 2 - An economic assessment of mill and logging residues for the eastern U.S. TAPPI: The International Bioenergy and Bioproducts Conference. Memphis, TN. Oct. 14, 2009.
3. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges, and T.G. Rials. 2009. A real-time web-based optimal Biomass Site Assessment Tool (BioSAT)/ Module 2 - An economic assessment of mill and logging residues for the eastern U.S. Southern Virginia Bioenergy: Making Innovation Work conference. Danville, VA. Oct. 6, 2009.
4. Hodges, D.G., T.M. Young, J.H. Perdue, A.J. Hartsell, R.C. Abt and T.G. Rials. 2009. Assessing economic and policy factors for biomass siting decisions. Society of American Foresters National Convention. Sept. 30- Oct. 4, 2009. Orlando, FL.
5. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges, and T.G. Rials. 2009. A real-time web-based optimal Biomass Site Assessment Tool (BioSAT)/ Module 2 - An economic assessment of mill and logging residues for the eastern U.S. - International Energy Agency (IEA) Bioenergy- Biofuels & Bioenergy A Changing Climate. August 24, 2009. Vancouver, British Columbia.
6. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges, and T.G. Rials. 2009. Optimal siting strategies for cellulose using manufacturing facilities- Biomass Siting Assessment Tool (BioSAT). International Conference on Woody Biomass Utilization. August 4-5, 2009. Starkville, MS.
7. Andre, N. and T.M. Young. 2009. Real-time predictive modeling of industrial engineered wood quality parameters using genetic algorithms and multivariate statistical methods. 63rd Forest Products Society Internaitonal Meeting. June 23. Boise, ID.
8. Crookston, K.A., F.M. Guess, and T.M. Young. Comparison of two wood-plastic composite extrusion process using statistical reliability anaysis. 63rd Forest Products Society International Meeting. June 23. Boise, ID.
9. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges and T.G. Rials. 2009. Optimal siting strategies for cellulose using manufacturing facilities- Biomass Siting Assessment Tool (BioSAT). 63rd Forest Products Society Internaitonal Meeting. June 22. Boise, ID.
10. Young, T.M., J.H. Perdue, A.J. Hartsell, D.G. Hodges, R.C. Abt, T.G. Rials. 2009. The Biomass Site Assessment Tool (BioSAT). 63rd Forest Products Society Internaitonal Meeting. June 22-24. Boise, ID. (poster)
11. Perdue, J.H., T.M. Young, A.J. Hartsell, D.G. Hodges, R.C. Abt, T.G. Rials, and S. Hurst. 2009 The Biomass Site Assessment Tool (BioSAT) 2009 Southern Growth Policies Board (SGPB) meeting. June 8-9, 2009. Biloxi, MS. (poster).
12. Crookston, K.A., T.M. Young, D. Harper, and F.M. Guess. 2009. Comparison of two wood plastics composite extrusion processes using statistical reliability analysis. 10th International Conference on Wood and BioFiber Plastic Composites. May 12, 2009. Madison, WI.
13. Young, T.M. J.H. Perdue, A.J. Hartsell, D.G. Hodges, R.C. Abt, T.G. Rials, and S. Hurst 2009. A web-based optimal biomass site assessment tool. 2009 Sun Grant Initiative Energy Conference, Sustainable Bioenergy and BioProducts Research for a Better Environment and a Growing Economy. March 12, 2009. Washington, D.C.
14. Perdue, J.H., T.M. Young, A.J. Hartsell, D.G. Hodges and T.G. Rials. 2008. BioSAT - A Bioenergy Site Analysis Tool. Southeast Agriculture & Forestry Energy Resources Alliance (SAFER) - Biomass Transportation and Logistics Meeting. August 26, 2008. Knoxville, TN (Invited).
15. Young, T.M. 2008. Continuous improvement for wood composites manufacturers. From Forest to Finished Products. November 17-19. Georgia Center for Continuing Education. The University of Georgia. Athens, GA.
16. Young, T.M. 2008. Regression tree models of the strength properties of engineered wood panels using real-time industrial data. 62nd Forest Products Society International Meeting. June 22-25. St. Louis, MO.
17. Liu, X., Y. Wang, T.M. Young, T.G. Rials, J. Perdue, A. Hartsell and F.M. Guess. 2008. Optimizing transportation networks for biofuels producers and distributors. 62nd Forest Products Society International Meeting. June 22-25. St. Louis, MO.
18. Young, T.M. 2008. Regression tree models of the strength properties of oriented strand board (OSB) using real-time industrial data. OSB World Symposium IV. April 28-30, 2008. Structural Board Association. San Antonio, TX.
19. Young, T.M. 2008. Regression tree models of the strength properties of engineered wood panels using real-time industrial data. 42nd International Wood Composites Symposium and Technical Workshop. April 1-2, 2008. Washington State University. Seattle, WA.
20. Guess, F.M., J.C. Steele, T.M. Young and R.V. León. 2008. Modern developments and applications of mean residual life and engineering. International Conference on Present Practices and Future Trends in Quality and Reliability. Eds. Anis. Calcutta, India. January 22-25.
21. Guess, F.M., J.C. Steele, T.M. Young and R.V. León. 2008. Applying novel mean residual life confidence intervals. International Conference on Present Practices and Future Trends in Quality and Reliability. Eds. Anis. Calcutta, India. January 22-25.
22. Perdue, J.H., T.M. Young, A.J. Hartsell, D.G. Hodges and T.G. Rials. 2007. Optimal Siting of Bioenergy Facilities - BioSAT- A Bioenergy Site Anlaysis Tool. USFS/ DOE Billion Ton II Update Meeting and Workshop. November 6. Washington, DC (Invited).
23. Young, T.M. and A.M. Taylor. 2007. Target size and sawing variation reduction. Remaining Competitive in Hardwood Lumber Production. Princeton, WV. www.cpe.vt.edu/rchlp/index.html. (invited).
24. Perhac, D.G., T.M. Young, F.M. Guess and R.V. León. 2007. Exploring reliability of wood-plastic composites: stiffness, tensile, and flexural strengths. June 11. 61st Forest Products Society International Meeting.
25. Young, T.M. 2006. Quality control for the wood composite industry. 2006. Forest Products Society Mid-South Section Annual Meeting, March 27-28. Nacogdoches, TX. (invited).
26. André, N., T.M. Young and T.G. Rials. 2006. On-line buffer capacity prediction of particleboard furnish by near infrared (NIR) spectroscopy. 60th Forest Products Society International Meeting. June 25-28. Newport Beach, CA.
27. Kim, H., F.M. Guess and T.M. Young. 2006. Using data mining tools of decision trees in quality and reliability applications – brief example for modern engineered wood. 2006 Joint Research Conference on Statistics in Quality, Industry and Technology. June 7-9. Knoxville, TN. (invited).
28. Bensmail, H., L. Shaffer and T.M. Young. 2006. Using software R for statistical and reliability analysis of the internal bond of medium density fiberboard. 60th Forest Products Society International Meeting. June 25-28. Newport Beach, CA.
29. Rials, T.G., N. André and T.M. Young. 2006. Monitoring wood composites manufacture using near infrared spectroscopy. 33rd Annual FACSS Conference. September 24-28. Lake Buena Vista, FL. (poster)
30. Chen, W., R.V. Léon, F.M. Guess and T.M. Young. 2005. Applying the forced censoring technique to accelerated modeling for better and less expensive estimation of extremely small percentiles of strengths. SAS/JMP User Conference Annual Meeting, June 7-8. Cary, NC. (poster)
31. Guess, F.M., R.V. Léon, W. Chen and T.M. Young. 2005. Forcing a closer fit in the lower tails of a distribution for better estimating extremely small percentiles of strengths. 59th Forest Products Society International Meeting. June 19-22. Québec City, Canada.
32. Kim, J., F.M. Guess, and T.M. Young. 2005. Using data mining tools of decision trees in reliability applications. 58th Forest Products Society International Meeting. June 30. Grand Rapids, MI.
33. Young, T.M. 2003. Forest products priorities for the future, Oct. 28-29. U.S. Forest Service Conference, Forest Products Laboratory. Madison, WI. (poster).
34. Young, T.M. 2003. Forest products in Tennessee. Governor’s Conference on Economic Development, Sept. 3-4. Nashville, TN. (poster).
35. Young, T.M. 2003. Real-time predictive statistical modeling of the internal bond of medium density fiberboard (MDF) using commercial database platforms. IUFRO Al Division 5 Conference. Rotorua, New Zealand. (invited).
36. Edwards, D.J., F.M. Guess and T.M. Young. 2003. Improving and managing information quality in forest products. 8th International Conference on Information Quality (ICIQ). Massachusetts Institute of Technology Sloan School of Management. Boston, MA.
37. Kim, H., F.M. Guess and T.M. Young. 2003. Using data mining tools of decision trees in reliability Applications. International Workshop on Reliability and its Applications. Seoul, Korea.
38. Boston, C.E. and T.M. Young. 2003. Statistical failure models for the internal bond of medium density fiberboard. 57th Forest Products Society International Meeting. Seattle WA.
39. Gu, H., T.M. Young, W.W. Moschler and B.H. Bond. 2003. Potential sources of variation that influence the final moisture content of kiln dried hardwood lumber. 57th Forest Products Society International Meeting. Seattle WA. (poster)
40. F.M. Guess, T.M. Pickrell, T.M. Young and D.J. Edwards. 2003. Statistical reliability analysis of the internal bond of medium density fiberboard. 57th Forest Products Society International Meeting. Seattle WA. (poster).
41. van Houts, J., and T.M. Young. 2003. Advanced information technology systems for predictive modeling of wood composite properties. 57th Forest Products Society International Meeting. Seattle WA.
42. Young, T.M. 2002. Statistical process control applications for pressline parameters and products. 2002 Composite Panels Association Pressline Seminar Series. Composite Panel Association. Gaithersburg, MD. Three presentations at in: Charlotte, NC; Portland, OR; and Ottawa, Ontario. (invited).
43. Young, T.M. 2002. Real-time modeling of the internal bond of medium density fiberboard (MDF) using commercial software and database platforms. 6th European Panel Products Symposium. Llandudno, United Kingdom.
44. Young, T.M. 2002. Developing and mining higher quality information in automated relational databases for forest products manufacturers. C. Warren Neel Conference on Statistical Data Mining & Knowledge Discovery. Knoxville, TN. p. 25. (invited).
45. Young, T.M. 2002. Sucessful applications of real-time statistical process control. American Society of Quality, 9th Annual Spring Quality Conference. Boise State University. Boise, ID.
46.Rials, T.G. and T.M. Young. 2002. Efficient resource utilization through statistical process control in the forest products industry. Agriculture and Food Science in the 21st Century. A University Science Exhibit on Capitol Hill. Washington, D.C. (poster)
47. Young, T.M. and C.H. Huber. 2001. Modeling the core temperature gradient of MDF with control limits for data signatures. 35th International particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. p. 183 (invited)
48. Young, T.M. and C.H. Huber. 2001. Process modeling of internal bond in MDF manufacture. Forest Products Society 55th International Meeting. Baltimore, MD. June 26. p. 56 (invited).
49. Young, T.M. and T.N. Williams. 2001. A modified six-sigma approach to improving the quality of hardwood flooring. Forest Products Society 55th International Meeting. June 25. Baltimore, MD.
50. Young, T.M. 2000. Advanced information technology for MDF manufacture. Forest Products Society 54th International Meeting. Lake Tahoe, NV. (invited).
51. Young, T.M. 2000. Statistical process control applications for improving chip quality using human machine interface technology. Summer 2000 Meeting of TAPPI MOTAG South. Atlanta, GA. (invited).
52. Young, T.M. and P.M. Winistorfer and C.H. Huber. 2000. Process modeling of internal bond in MDF manufacture. 34th International Particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. (invited).
53. Young, T.M., P.M. Winistorfer and B.H. Bond. 1999. Human machine interface platforms for statistical process control in hardwood lumber manufacture. 53rd International Meeting of the Forest Products Society. Boise, ID.
54. Nieh, W.L.S., H.J. Kennedy, E. Walker and T.M. Young. 1995. Statistical analysis of the effects of face resin gel time on particleboard properties - a plant case. Proc. of the 29th International Particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. (poster)
55. Winistorfer, P.M., T.M. Young and E. Walker. 1994. Modeling and comparing vertical density profiles. Proc. of the 28th International Particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. (poster)
Trade Journals
1.Young, T.M. 2008. Reducing variation, the role of statistical process control in advancing product quality. Engineered Wood Journal. 11(2):41-42.View Article
2. Léon, R.V., F.M. Guess and T.M. Young. 2005. “JMP” into stats at the University of Tennessee at Knoxville. JMPer Cable. 19:7-8. Cary, NC
3. Young, T.M. 2000. The Tennessee Quality Lumber Initiative (TQLI). Article on front cover of the Hardwood Research Bulletin. No. 512, January 2000. National Hardwood Lumber Association. Memphis, TN. p1.
4. Young, T.M. 1999. Applying statistical process control to reduce hardwood lumber thickness target sizes. National Hardwood Lumber Association Newsletter. No. 501. December. p1.
5. Young, T.M. 1999. Efficiency technique hews new niche. InSites.
6(2): 6-7.
6. Young, T.M. 1999. Tennessee Quality Lumber Initiative. National Hardwood Lumber Association Newsletter. No. 501. January. p1.
7. Young, T.M., D.M. Ostermeier, J.D. Thomas and R.T. Brooks, Jr. 1991. Computermodel simulates supply, cost of chips. Forest Industries. 118(8): 20-21.
8. Wells, G.R., T.M. Young and K. Hoyt. 1989. Referrals to consulting foresters: policies of forestry agencies of seven states in the Tennessee Valley. The Consultant. 34(3): 67-69.
Final Reports
1. Hodges, D.G., T.M. Young, R.C. Abt, A.J. Hartsell, and J.H. Perdue. 2009. Regional comparative advantage for woody biofuels production. Final Report for US DOT Southeastern Sun Grant Center. The University of Tennessee, Knoxville. in press.
2. Young, T.M., N. Andre and C. Pritchard. 2009. Statistical process control (SPC) applications for reducing barrel stave width variation from the jointer wheels at Blue Grass Cooperage. The University of Tennessee for Brown Forman Corporation. Louisville, KY. 104p.View Article
3. Andre, N. and T.M. Young. 2008. Real-time prediction fo formaldehyde emissions using near infrared (NIR) spectroscopy combined with process sensor data. The University of Tennessee. 16p.
4. André, N., T.M. Young and C.W. Huber. 2008. On-line and off-line prediction of MDF and Particleboard properties by near-infrared spectroscopy. The University of Tennessee and Georgia-Pacific Chemicals, LLC. 48p.
5. Dawson, C., J. Allen, Jr. and T.M. Young. 2006. MIGANN ver 1.0 machine intelligence genetic algorithm neural network system for the engineered wood industry. USDA SBIR Phase-I Final Report. 111p. with video DVD of system. Washington, D.C.View Article
6. Young, T.M., C.W. Huber and J. van Houts. 2006. EWood version 3.0. A statistical process modeling system for optimizing the product quality of manufactured wood composites. The University of Tennessee and Georgia-Pacific Resins, Inc. 101p.
7. Young, T.M., C.E. Pope and S. Peskar. 2004. Tennessee Quality Lumber Initiative (TQLI). Reducing lumber thickness variationm using wireless technology with realtime statistical process control. Final report for contract R112219-079. 212p.View Article
8. Young, T.M, J. van Houts and C.E. Pope. 2003. Predictive modeling of the internal bond of medium density fiberboard (MDF). Georgia-Pacific Resins, Inc. Atlanta,GA.
9. Young, T.M., B.H. Bond, C. Boston, J. Wiedenbeck, R. James and S. Morgan. 2002. Tennessee Quality Lumber Initiative (TQLI) – Reducing lumber thickness variation and targets using real-time statistical process control. Final Report for Anderson- Tully Corporation (R112219-10) and U.S. Forest Service (Contract R112218- 089) and The University of Tennessee Special Wood Utilization Grant (R112218- 054). 282p.
10. Young, T.M., R. Shaw and J. Peterson. 2001. Tennessee Quality Lumber Initiative (Boise Cascade Corporation) – Phase I, reducing lumber target sizes and thickness variation for softwood lumber. Final Report for Boise Cascade Corporation (Contract R112218-80) and The University of Tennessee Special Wood Utilization Grant (R112218-54). 54p.
11. Buggeln, R. and T. Young. 2001. Wood waste generation by secondary wood products manufacturers. The University of Tennessee, Center for Industrial Services. Knoxville, TN. 26p.
12. Young, T.M., P.M. Winistorfer and J.D. Cox. 2000. Tennessee Quality Lumber Initiative (TQLI) – Phase I: reducing lumber target sizes using real-time statistical process control. Final Report for Wood Utilization Special Research Grant R112218-054. 124p.
13. Winistorfer, P.M., T.M. Young, and D.M. Ostermeier. 1993. The application of statistical process control to the logging industry. Final Report for American Pulpwood Association Timber Harvesting and Transportation Safety Foundation. 51p.
14. Young, T.M. and D.M. Ostermeier. 1989. IFCHIPSS – The Industrial Fuel Chip Supply Simulation Model. Final Report for Contract with Southeastern Regional Biomass Energy Program as administered by the Tennessee Valley Authority. 141p.
15. Young, T.M. and D.M. Ostermeier. 1986. Analyzing market constraints in woody Biomass energy production. Final Report for Contract TV-64566A through the Southeastern Regional Biomass Energy Program as administered by the Tennessee Valley Authority. 172p.
16. Orr, B., J. Buongiorno, T. Young, D. Lothner and E. Kallio. 1985. Future timber harvest on the Chippewa and Superior National Forests in Minnesota. USDA Forest Service North Central Forest Experiment Station. Resource Bulletin NC-89. 11p.View Article
M.S. Theses Directed
Chastain, J.S. 2009. A statistical reliability analysis of the variability and upper percentiles of the wood strand thickness of oriented strand board. M.S. Thesis. The University of Tennessee. Knoxville. (advisors: T.M. Young, F.M. Guess and R.V. Leon) 138p. View Thesis
Crookston, K.A. 2009. Reliability of wood plastic composites and improving lower percentile estimation via induced percentile censoring. M.S. Thesis. The University of Tennessee. Knoxville. (advisors: T.M. Young, F.M. Guess and R.L. Zaretski) 126p. View Thesis
Wang, Yingjin. 2008. Comparing linear discriminant analysis with classification trees using forest landowner survey data as a case study with considerations for optimal Biorefinery siting. M.S. Thesis. The University of Tennessee. Knoxville. 114p. View Thesis
Perhac, D.G. 2007. An applied statistical reliability analysis of the modulus of elasticity and modulus of rupture for wood-plastic composites. M.S. Thesis. The University of Tennessee. Knoxville. 102p. View Thesis
Shaffer, L.B. 2007. Examining regression analysis beyond the mean of the distribution using quantile regression. M.S. Thesis. The University of Tennessee. Knoxville. 94p. View Thesis
Wang, Yang. 2007. Reliability analysis of oriented strand board's strength with a simulation study of the median censored method for estimating of lower percentile strength. M.S. Thesis. The University of Tennessee. Knoxville. 85p. View Thesis
Steele, J.C. 2006. Function domain sets confidence intervals for the mean residual life function with applications in production in medium density fiberboard. M.S. Thesis. The University of Tennessee, Knoxville. 108p. View Thesis
Chen, W. 2005. A reliability case study on estimating extremely small percentiles of strength data for the continuous improvement of medium density fiberboard product quality. M.S. Thesis. The University of Tennessee, Knoxville. 69p. View Thesis
Edwards, D.J. 2004. An applied statistical reliability analysis of the internal bond of medium density fiberboard. M.S. Thesis. The University of Tennessee, Knoxville. 123p. View Thesis
Williams, T.N. 2001. A modified six-sigma approach to improving the quality of hardwood flooring. M.S. Thesis. The University of Tennessee, Department of Forestry, Wildlife & Fisheries. 190p.View Thesis
