curriculum vitae timothy m. young - unizg.hr · president wonderware industrial group, ... wildlife...

Timothy M. Young - 1 of 25

CURRICULUM VITAE TIMOTHY M. YOUNG

(Revised: March 2010) Business Address Home Address Associate Professor 8936 Colchester Ridge Rd. The University of Tennessee Knoxville, TN 37922 Forest Products Center 865.691.1377 2506 Jacob Drive 865.809.4663 (cell) Knoxville, TN 37996-4570 [email protected] 865.946.1119 865.946.1109 (fax) [email protected]; www.spcforwood.com EDUCATION Ph.D. The University of Tennessee 2007 Natural Resources (Statistics) http://etd.utk.edu/2007/YoungTim.pdf M.S. The University of Tennessee 1993 Statistics (Operations Research) M.S. The University of Wisconsin 1983 Forest Economics B.S. The University of Wisconsin 1979 Natural Resources (Forestry) EXPERIENCE The University of Tennessee Associate Professor 2009-present The University of Tennessee Research Associate Professor 2003-2009 The University of Tennessee Research Assistant Professor 1998-2003 Georgia-Pacific Corporation Continuous Improvement Director 1994-1998 The University of Tennessee Research Associate 1983-1994 U.S. Forest Products Laboratory Statistical Analyst 1982 Champion International Corporation Resource Analyst 1981 MEMBERSHIP IN PROFESSIONAL SOCIETIES American Society for Quality (ASQ) American Statistical Association (ASA) Forest Products Society (FPS) Xi Sigma Pi (Forestry Honorary) Gamma Sigma Delta (Agricultural Honorary) ELECTED POSITIONS AND PROFESSIONAL OFFICES Faculty Senate The University of Tennessee 2008-2010 CASNR/AgResearch/Extension Caucus Chair 2010 Faculty Senate Committees: Research Council 2009-2010 (Center Evaluation Subcommittee) 2009 Research Policies and Guidelines 2009 Teaching Council 2008 President Forest Products Society, Mid-South Section 2006 Chairman Forest Products Society, Quality Control, Process Control and Production Management Group 2002-2009 President Wonderware Industrial Group, South Carolina 1997


Vice President Wonderware Industrial Group, South Carolina 1996 Secretary TAPPI, Fiber Raw Materials Supply Committee 1996 AWARDS AND NOMINATIONS Awarded “Southern Growth Policies Board 2009 Innovator Award” for BioSAT – a Web- Based Biomass Site Assessment Tool. Awarded “Outstanding Section Performance for Mid-South Section” of the Forest Products Society 2006-2007 (Mid-South President 2006). Awarded Meritorious Effort in Preparing and Presenting Scientific and Industrial Information at the Technical Workshop at 41st International Wood Composites Symposium. Washington State University. Seattle, WA. March 26, 2007. George G. Mara Award of Excellence in Research and Writing, Society of Wood Science and Technology. Wang, S., P.M. Winistorfer and T.M. Young. 2005. Fundamentals of vertical density profile formation in wood composites. Wood and Fiber Science 36(1):17-25. Awarded Meritorious Effort in Preparing and Presenting Scientific and Industrial Information at the Technical Workshop at 33rd International Wood Composites Symposium. Washington State University. Seattle, WA. 1999. Nominated for The University of Tennessee B. Otto and Kathleen Wheeley Award for Excellence in Technology Transfer. May 25, 2004. Nominated in 2007 for President of the Forest Products Society. SERVICE TO THE UNIVERSITY Committee Chair, 2009 Advisory Board Meeting, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Co-Mentor of Assistant Professor, 2008-2009, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 2008 Advisory Board Meeting, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 2007 Advisory Board Meeting, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2006 Faculty Leadership Development Committee, The University of Tennessee, Institute of Agriculture. Committee Chair, 2006 Advisory Board Meeting, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 2005 Search Committee for Assistant Professor, Biomass Conversion Chemist, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2005 Search Committee for Assistant Professor, Biomass Value Added, The University of Tennessee Department of Forestry, Wildlife and Fisheries. Committee Chair, 2005 Advisory Board Meeting, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2005 Society of American Foresters Accreditation Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2004 Search Committee for Extension Faculty Position, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 2004 Faculty Retreat Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2003, Selection Committee for Director of Alumni and Development Position, The University of Tennessee, Institute of Agriculture.


Co-chairman, 2002 Faculty Retreat Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2001 Academic Program Review Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 2001 Search Committee for Professor and Director Forest Products Center, The University of Tennessee Department of Forestry, Wildlife and Fisheries. Committee Chair, 2000 Faculty Retreat Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 1998 Faculty Retreat Committee, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Chair, 1998 Departmental Newsletter, The University of Tennessee, Department of Forestry, Wildlife and Fisheries. Committee Member, 1998, Search Committee Research Assistant Professor, The University of Tennessee Department of Forestry, Wildlife and Fisheries. SERVICE TO THE PROFESSION Reviewer of manuscripts, 2005-2010: Biomass and Bioenergy, Forest Products Journal, Wood and Fiber Science, Wood Science and Technology, Holzforschung, Holz als Roh- und Werkstoff Moderator, 2009, Forest Products Society 61st International Meeting, Technical Interest Group, June 21-23, Boise, Idaho. Moderator, 2008, “From Forest to Final Product – F2FP” meeting. November 19, 2008. University of Georgia, Athens, GA. Participated in the 2008 Poster Session for Land Grant Universities, Senate Offices, Washington, D.C. March 5 2008 Attended 2008 12-Multistate USDA Wood Utilization Meeting, March 4-5, Lansdowne, VA General Chair, 2007, Forest Products Society 61st International Meeting, June 10-13, Knoxville, TN. Moderator, 2007, “Industry Focus Day” 61st Forest Products Society Annual International Meeting. June 12. Knoxville, TN. Workshop Instructor, 2007, 41st International Wood Composites Symposium. March 25. “Real-time process and predictive modeling of wood composite manufacturing processes. Seattle, WA. General Chair, 2007, Forest Products Society Mid-South Section Meeting, January 17-18, 2007, Memphis, TN. Committee Chair, 2007, Forest Products Society 61st International Meeting, Technical Interest Group, June 10-13, 2007, Knoxville, TN. Committee Chair and Moderator, 2006, Forest Products Society 60th International Meeting, Technical Interest Group, June 25-28, 2006, Newport Beach, CA. Committee Chair, 2005, Forest Products Society 59th International Meeting, Technical Interest Group, June 19-22, 2005, Quebec City, Canada. Reviewer (Invited), 2005, USDA NRI Competitive Grant Proposals. May 23-26, 2005. Washington, D.C. Reviewer (Invited), 2004, USDA NRI Competitive Grant Proposals. July 12-15, 2004. Washington, D.C. Committee Chair and Moderator, 2004, Forest Products Society 58th International Meeting. June 27-30, 2004. Technical Interest Group. Grand Rapids, MI.


Co-Chair, 2004, Forest Products Society, “Manufacturing Competitiveness of the Forest Products Industry: Competing in Today’s Global Manufacturing and Consumer Marketplace.” Nov. 3-5, 2004. New Orleans, LA. Moderator, 2004, 38th International Wood Composites Symposium, “Product and Process Control Strategies.” April 6-8, 2004. Pullman, WA. Committee Chair and Moderator, 2003, Forest Products Society 57th International Meeting, Seattle, WA. Moderator, 2003, International Particleboard/Composite Materials Symposium. Washington State University. Pullman, WA. Committee Chair and Moderator, 2003, Forest Products Society 56th International Meeting, Technical Interest Group, Madison, WI. RESEARCH ACTIVITIES Current ($1,478,811) Title: Young, T.M. and N. André. Real-time process analytics of bio-based

manufacturing processes with multi-sensor data fusion Funding: $471,048 Term: (1/05 to present) Sponsors: USDA SBIR Phase I & II Competitive Grants USDA Wood Utilization Research Grant. Summary: The project is a fundamental investigation in mathematical, statistical and computational sciences, which examines the real-time prediction of the

mechanical properties of wood composites. Statistical (e.g., partial least squares) and heuristic (e.g., genetic algorithms) real-time modeling systems are combined as an “ensemble” process modeling system for bio-based manufacturers to predict product quality attributes. The systems are unique with completely automated, real-time, data-fusion of multi-sensor process data. Intellectual property and software licensing are a significant outcome of this research. The process modeling system has directly impacted three test sire mills in 2007 with savings at two test site mills of approximately $1.9 million per year from reduced resin usage and higher throughput.

Title: Young, T.M., J. Perdue, D.H. Hodges ad R. Abt. A web-based economic siting model for biofuels producers in the eastern U.S. (www.BioSAT.net) Funding: $300,640 Term: (8/07 to present) Sponsors: USDA; USDOT Southeastern Sun Grant Center; USDA Forest Service. Summary: Essential to any industrial business loan or grant approval process is a defendable business plan that includes an optimum plant siting plan to support profitability of the plan over the term of the loan or grant. Research was conducted by Young et al. (1989) that resulted in the Industrial Fuel Chip Supply Simulator

(IFCHIPSS). A new web-based biofuels siting model (BioSAT) is being developed that will locate optimal sites for biofuels manufacturers in the eastern U.S. The model will develop real-time aggregate supply curves of delivered costs at the biofuels plant gate which include transport costs (truck and rail), harvesting costs and cellulosic standing and residual costs.


Title: Young, T.M. and N. André. Real-time Prediction of Formaldehyde (H2CO) Emissions during Wood-Based Panels Manufacturing Funding: $80,000 Term: (5/09 to present) Sponsor: USDA SBIR Phase I with Assured Biotechnology Corporation. Summary: Formaldehyde (CH2O) has been classified as carcinogenic to humans by the International Agency for Research on Cancer (IARC) since 2004. Formaldehyde is the most important aldehyde produced commercially, and is used in the

preparation of urea-formaldehyde and phenol-formaldehyde resins. The most significant sources of formaldehyde in homes, schools, and offices come from furniture and cabinets manufactured from composite wood products such as particleboard (PB), medium density fiberboard (MDF), and hardwood plywood (HWPW). Given the more than 110 million households in the U.S., the impact of exposure to CH2O is significant. The study will develop a continuous on-line monitoring system that will merge near infrared (NIR) measurements with plant process parameters to achieve high levels of prediction of CH2O. The objective of this Phase I research is to further evaluate an alpha-prototype real-time NIR spectroscopy hardware and software system to accurately detect CH2O emissions. Multivariate methods will be used with NIR spectroscopy data fused with critical process variable data to generate accurate calibration models. A commercial-ready system will be identified from Phase I results.

Title: Young, T.M. Wireless measurement of OSB flakes using real-time SPC Funding: $60,520 Sponsor: USDA CSREES. Term: (1/07 to present) Summary: The effect of strand thickness variability on oriented strand board (OSB) product quality is well documented in the literature. Strand thickness variability may also affect the quality of the biochemical extraction process using such strands. The objectives are: (1) collect OSB strands for thickness ranges typical of industry specifications for four wood types used across North America, e.g., southern pine, western pine, mixed hardwoods and aspen; (2) quantify the effect of OSB strand thickness variability on the biochemical extraction process; (3) develop a statistical model of the effect of OSB strand thickness variability on the biochemical extraction process; and (4) develop set of recommendations and guidelines for the bioenergy and OSB industries. Previous ($1,478,811 nominal, non-adjusted dollars) Title 1: Young, T.M. Process modeling of wood composites. Koch Industries (Georgia-Pacific Chemicals, LLC). $193,860. 1/04 to 08/09. Title 2: Young, T.M. Real-time statistical process control applications for whiskey barrel stave blanks. Brown Forman Corp. Bluegrass Cooperage. Louisville, KY. $114,571. 3/08 to 2/09.


Title 3: Young, T.M. and N. André. Real-time prediction of buffer capacity and formaldehyde (HCHO) emissions of medium density fiberboard (MDF) using real-time near infrared (NIR) spectroscopy. Koch Industries (Georgia-Pacific Chemicals, LLC). $35,125. 3/06 to 12/07. Title 4: Young, T.M. and N.André. Real-time multisensor data fusion and a genetic algorithm predictive modeling system for extruded wood composites. USDA Special Wood Utilization Research Grant. $98,909. 1/02 to 12/05.

Title 5: Allen Jr., J. D., and T.M. Young. Predictive modeling of engineered wood properties using genetic algorithms with distributed data fusion. USDA Small Business Innovation Research Phase I Competitive Grant with QMS, Inc. $80,000. 5/05 to 12/05. Title 6: Young, T.M. Predictive modeling of the physical properties of wood composites using genetic algorithms. USDA Special Wood Utilization Research Grant. $77,800. 1/04 to 12/07. Title 7: Young, T.M. Predictive modeling of the internal bond of medium density fiberboard (MDF). Georgia-Pacific Resins, Inc. $63,688. 1/04 to 12/04. Title 8: Young, T.M. and C.E. Pope. Real-time distributed statistical process control for hardwood lumber manufacture using wireless measurement technology. Anderson-Tully Corporation $33,500. 10/03 to 12/05. Title 9: Young, T.M. and C.E. Pope. Reducing thickness variation and targets using real- time statistical process control. Georgia-Pacific Corp. - Princeton, WV. $21,463. 4/03 to 3/04. Title 10: Young, T.M. Predictive modeling of the internal bond of medium density fiberboard (MDF).

Georgia-Pacific Resins, Inc. $67,800. 1/03 to 9/03.

Title 11: Young, T.M. The Tennessee Quality Lumber Initiative for small hardwood sawmills: reducing lumber thickness variation using real-time SPC. USDA. Special Wood Utilization Research Grant. $81,386. 10/01 to 10/04.


Title 12: Young, T.M. and D.H. Bond. Using real-time SPC to reduce hardwood lumber thickness variation, target sizes and improve lumber recovery. U.S. Forest Service.

$30,122. 3/00 to 12/01.

Title 13: Young, T.M. Understanding sources of variability in hardwood flooring and cabinet manufacture. USDA. Special Wood Utilization Research Grant

$192,804. 09/00 to 09/03.

Title 14: Young, T.M. Improving softwood lumber manufacturing systems using real- time statistical process control. Boise Cascade Corporation. $62,156. 01/00 to 12/02.

Title 15: Young, T.M. and P.M. Winistorfer. Feasibility study: modeling of the internal bond of medium density fiberboard (MDF). Georgia-Pacific Resins, Inc. $56,967. 01/00 – 12/01. Title 16: Young, T.M. and P.M. Winistorfer. Application of “real-time” statistical process control to oriented strand board manufacture. J.M. Huber Corporation $25,758. 10/98 to 12/00 Title 17: Young, T.M. and P.M. Winistorfer. Application of “real-time” statistical process control to particleboard manufacture using human machine interface technology. Georgia-Pacific Corporation $21,500. 10/98 to 12/99. Title 18: Young, T.M. and P.M. Winistorfer. A statistical analysis of tree-harvesting worker safety. Amercian Pulpwood Association $2,500. 06/92 to 6/93. Title 19: Ostermeier, D.M. and T.M. Young. IFCHIPSS: Industrial Fuel Chip Supply Simulator. USDOE and Tennessee Valley Authority. $105,000. 01/89 to 12/91. Title 20: Ostermeier, D.M. and T.M. Young. Fossil-fuel-using industries: their awareness and perceptions of wood energy. Tennessee Valley Authority. $47,000. 01/88 to 12/88.


ENGAGEMENT AND OUTREACH ACTIVITIES Industry Training Seminars A continued highlight of my professional career is the continued success of the statistical process control and advanced statistical seminars for the North American and international forest products industries. Twenty-eight general industry seminars have been conducted since 2000 generating in excess of $825,000 in funding. Customized SPC training courses have also been conducted for J.M. Huber Corporation, Georgia-Pacific Chemicals, LLC, Boise Corporation, Georgia-Pacific Corporation, and Brown Forman Corporation. The private seminars have generated in excess of $130,000 in funding. A new course in “designed experimentation for bio-based products” will be offered in December 2009. The training seminars will continue to evolve to more customized courses for select companies. Corporate Training Materials Young, T.M. 2010. “Continuous Improvement using statistical process control in the forest products industry.” Fourth Edition. The University of Tennessee, Knoxville. 358p. Precursor for a potential textbook. (3 undergraduate credit option; 4 CEU credits). Young, T.M. 2010. “Advanced statistical methods for forest products manufacturers.” Fourth Edition. The University of Tennessee, Knoxville. 389p. Precursor for a potential textbook. (3 undergraduate or 2 graduate credit option; 4 CEU credits). Young, T.M. 2009. “Designed Experimentation for Forest Products Manufacturers.” First Edition. The University of Tennessee, Knoxville. 444p. Precursor for a potential textbook. (3 undergraduate or 2 graduate credit option; 4 CEU credits). Industrial Software EWOOD ver 3.0 – Statistical-based software (C++ and Visual Net), which develops relational databases from industrial databases using real-time data fusion which models and predicts real-time the strength properties of engineered wood panels. Currently being used is six wood composite mills in U.S. MIGANN ver. 1.0 – Genetic Algorithm and Neural Network software (C++ and Visual Net) which models and predicts models and predicts real-time the strength properties of engineered wood panels. Currently being used in one wood composite mill in U.S. Invited Workshop Young, T.M. 2007. “Real-time process and predictive modeling of wood composite manufacturing processes.” Conducted Workshop at the 41st International Wood Composites Symposium. March 25. Seattle, WA. International Engagement Official Liaison between the University of Tennessee and Salzburg University of Applied

Sciences, Department of Forest Products Technology and Management, Kuchl, Austria. Responsible for coordinating visiting faculty, student J-1 research interns, research partnerships, teaching, and general communication between the respective universities (Initiated all 2007).


Official Liaison between the University of Tennessee and BOKU University, Vienna Austria, Department of Material Sciences and Process Engineering. Responsible for coordinating visiting faculty, student J-1 research interns, research partnerships, teaching, and general communication between the respective universities (Initiated Fall 2009).

Invited lecturer for undergraduate and graduate lectures Statistical Process Control (SPC) in December 2007, 2008, and 2009 for Salzburg University of Applied Sciences Co-teach course with Dr. Alexander Petutschnigg in “Optimization and Simulation”. International visits to BOKU University in Vienna, Austria in 2007 and 2008 involving

industry/academic seminars including formal engagement and research discussion. Advisory Committee (2009) for M.S. thesis program curriculum review and development at

Salzburg University of Applied Sciences. Department of Forest Products Technology and Management, Kuchl, Austria.

Other Engagement Initiating Statistical “Webinar” Series for the APA – Engineered Wood Association. Tacoma, WA. Advising CPA – Composite Panel Association on statistical testing procedures for HCHO emissions from engineered wood panels for state of California Air Resources Board (CARB). Participate in the annual University of Tennessee “Ag Day” activities and booth for the Forest Products Center. TEACHING ACTIVITIES Undergraduate

▫ Invited lecturer in Forestry 331 (Wood Properties and Uses) on industrial applications of statistical methods.

▫ Invited lecturer in Plant Sciences 475 (Professional Issues in Bioenergy) on Biomass Site Assessment Tool (BioSAT)

▫ Teach undergraduate students in statistical process control as part of industrial training seminar listed as FWF 493 (Topics in Forestry, Wildlife and Fisheries).

▫ Invited undergraduate lecturer in December 2007/2008/2009 at Salzburg University of Applied Sciences for instruction of Statistical Process Control and other statistical methods for 26 undergraduate students. Course: Optimization and Simulation.

Graduate

▫ Teach graduate students in Statistical Process Control as part of industrial training seminar listed as course FWF 590 (Advanced Topics in Forestry, Wildlife and Fisheries)

▫ Lecturer in FWF 601-(Teaching Methods in Natural Resources) ▫ Invited lecturer in FWF 610 (Interdisciplinary Analysis of Natural Resource

Problems)


M.S. Theses Directed 1. Liu, X. 2009. A statistical analysis of key factors influencing the location of biomass-

using facilities. M.S. Thesis. The University of Tennessee. Knoxville. (advisors: T.M. Young, F.M. Guess and R.L. Zaretski) 106p.

2. 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.

3. 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.

4. 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. (advisors: T.M. Young, F.M. Guess and R.L. Zaretski) 114p.

5. 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. (advisors: T.M. Young, F.M. Guess and R.V. Leon) 102p. http://etd.utk.edu/2007/PerhacDiane.pdf

6. Shaffer, L.B. 2007. Examining regression analysis beyond the mean of the distribution using quantile regression. M.S. Thesis. The University of Tennessee. Knoxville. (advisors: T.M. Young, F.M. Guess and R.V. Leon) 94p. http://etd.utk.edu/2007/ShafferLeslie.pdf

7. 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. (advisors: T.M. Young, F.M. Guess and R.V. Leon) 85p. http://etd.utk.edu/2007/WangYang.pdf

8. 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. (advisors: T.M. Young, F.M. Guess and R.V. Leon) 108p. http://etd.utk.edu/2006/SteeleJonathanCody.pdf

9. 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. (advisors:

T.M. Young, F.M. Guess and R.V. Leon) 69p. http://etd.utk.edu/2005/ChenWeiwei.pdf


10. 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. (advisors: T.M. Young, F.M. Guess and W.L. Seaver) 123p. http://wood.tennessee.edu/Research/Manufacturing+Excellence/TYPublications.h tm

11. 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. (advisors: T.M. Young, P.M. Winistorfer and B.H. Bond) 190p.

M.S. Thesis Committees Zhang, Xinan. 2008. Characterizing strength and fracture of wood micropillars under uniaxial compression. M.S. Thesis. The University of Tennessee, Department of Forestry, Wildlife & Fisheries. (advisors: S. Wang, T.M. Young, and Q. Zhao) 99p. M.S. Theses Currently Directing: 4 pending completion and graduation in (Xu Liu 2009); (Xia Huang 2010); (Yan “Dirk” Zeng 2011); and (Dillon Carty 2011) – All in the Department of Statistics. M.S. Thesis Committees

Yujie Meng. Department of Forestry, Wildlife and Fisheries. M.S. committee member. Graduation and defense pending 2010.

Ph.D. Dissertation Currently Directing: 1 pending completion and graduation in 2011/2012

(Andy Hartsell, Dept. of Forestry, Wildlife and Fisheries) - Co-directing with Dr. Don Hodges

Ph.D. Committee Member: 2 pending completion and graduation in 2010/2011 (Cheng Chang, Dept. of Electrical Engineering); Sandeep Nair 2010/2011. Department of Forestry, Wildlife and Fisheries. Ph.D. committee. PUBLICATIONS Refereed Journals Submitted 1. Young, T.M., Y.J. Wang, F.M. Guess, J.M. Fly, and D.G. Hodges. 2010. A comparison

linear discriminant analysis with classification trees for a forest landowner survey. Bioresources. Submitted.

2. Crookston, K.A., T.M. Young, D. Harper, and F.M. Guess. 2010. A comparison of two wood plastic composite extrusion processes using statistical reliability analysis. Reliability Engineering and System Safety. Submitted.

3. León, 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 Engineering. Submitted.


4. 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.

5. Kim, H., F.M. Guess, and T.M. Young. 2010. An extension of regression trees to generate better predictive models. IIE Transactions. Accepted. In Press 6. Edwards, D.J., F.M. Guess, and T.M. Young. 2010. Bootstrap confidence intervals for

percentiles of reliability of modern engineered wood. Wood Science and Technology. Accepted.

Published 7. Young, T.M., J. Chastain, F.M. Guess, and R.V. León. 2009. Estimating upper percentiles of strand thickness for oriented strand board. Forest Products Journal. 59(10):79-88. 8. Chastain, J., T.M. Young, F.M. Guess, H. Bensmail, and R.V. León. 2009. Using

reliability analyses to characterize wood strand thickness for oriented strand board panels. International Journal of Reliability and Application. 10(4):89-99.

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. 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.

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. 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. 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.


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(31):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. 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. 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.

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. 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. 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. 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. 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.

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 hot- pressing. Wood and Fiber Science. 36(1):17-25.

27. Guess, F.M., R.V. León, 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 Application. 5(4):129-145.


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.

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.

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 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.

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

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.

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.

35. Young, T.M. and P.M. Winistorfer. 1999. Statistical process control and the forest

products industry. Forest Products Journal. 49(3):10-17.

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.

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.

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.

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.


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.

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.

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.

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.

Books Contributions 1. Steele, J.C., F.M. Guess, T.M. Young, and D.J. Edwards. 2009. Mean residual life. Springer's International 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 assessment tool – developing a real-time, economic-based program for the web. Proc. of 2009 Southern Forest Economics 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. USDA

Forest Service Proceedings – RMRS-P-56. 42:1-22. 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. p. 104-115.

http://sofew.cfr.msstate.edu/papers/2008_proceedings.pdf 5. Young, T.M. and B.H. Bond. 2008. 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.

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.

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.

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. Starkville, MS.

7. André, 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 International Meeting. June 23. Boise, ID.

8. Crookston, K.A., F.M. Guess and T.M. Young. 2009. Comparison of two wood-plastic

composite extrusion processes using statistical reliability analysis. 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 International 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 International 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) annual 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-plastic 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 – F2FP”. November 19, 2008. 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 24, 2008. 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 23, 2008. 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 Analysis 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. Guess, F.M., 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. Successful 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.

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. Computer

model 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. André 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.

3. André, N. and T.M. Young. 2008. Real-time prediction of 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.

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, 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. 8. Young, T.M., J. van Houts, R. Springer and M. Looslie. 2002. Tennessee Quality

Lumber Initiative (TQLI) – Reducing lumber thickness variation and targets using real-time statistical process control. Final Report for Boise Corporation (Contract R112218-080) and The University of Tennessee Special Wood Utilization Grant (R112218-054). 203p.

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. KEYNOTE PRESENTATIONS 1. Young, T.M. 2005. Louisiana-Pacific Corporations Annual Quality Meeting, April 12-13. Nashville, TN. 2. Young, T.M. and F.M. Guess. 2005. SAS/JMP User Conference Annual Meeting, June 7-8. Cary, NC. 3. Young, T.M. 2004. TECO Industry Advisory Council Meeting. March 7. Fort Lauderdale, FL. 4. Young, T.M. 2002. An introduction to statistical process control (SPC) as applied to sawmills. Virginia Forest Products Association, 44th Annual Convention. Williamsburg, VA.

5. Young, T.M. 2002. Successful applications of real-time statistical process control. American Society of Quality, 9th Annual Spring Quality Conference. Boise State University. Boise, ID. 6. Young, T.M. 2002. An introduction to statistical products control in hardwood flooring

manufacture. Armstrong Industries. August 1. Nashville, TN. INVENTION DISCLOSURES, LICENSES, AND PATENT APPLICATIONS Invention Disclosure

1. UTRF File No.CD 08072. Young, T.M. 2008. Data fusion SQL code for real-time process and laboratory data.

2. UTRF File No. PD06005. André, N., T.M. Young and T.G. Rials. 2005. Spectroscopic prediction of wood buffer capacity.

Licenses 1. License agreement with The University of Tennessee Research Foundation.

PD 04011 031809.F. Software license for “Machine Intelligence Genetic Algorithm/Neural Network” (MIGANN) version 2.0, a real-time predictive modeling system of process attributes for manufacturers.


Patent Applications 1. METHOD FOR CONTROLLING A PRODUCT PRODUCTION PROCESS

Patent Application No. 11/088,651 Filing Date: 03/24/2005

LNG File No. 59176.US 7800.0 (denied) 2. SPECTROSCOPIC PREDICTION OF FORMALDEHYDE EMISSION AND

THICKNESS SWELL OF WOOD PANELS Patent Application No. 61037171; Docket No. 33165 Filing Date: 02/11/2009

LNG File No. 3010509 (pending)

curriculum vitae timothy m. young - unizg.hr · president wonderware industrial group, ... wildlife...

Documents