If we've left out important UTIA personnel or resources, please send us a link.

Groups and Facilities


1 mention

Manufacturing Excellence 
Assisting manufacturing-based industries, with a focus on statistical process control, lean manufacturing, and real-time process modeling.


   

Recent Publications

Dynamic simulation of the continuous flow of bulk material during production to improve the statistical modeling of final product strength properties.  Reigler M., N. O. Andre, M. Gronalt, and T. M. Young.  2015.  International Journal of Production Research, 53(21):6629–6636.

How bioinformatics is helping to restore the American Chestnut: next generation sequencing, data mining and online resources.  Staton, M. E., N. Cannon, J. Davitt, N. Henry, M. Cook, and J. Carlson.  2015.  American Society of Plant Biologists Southern Section.

Driving an empirical data mining-based model to predict soil water retention curve.  Haghverdi, A., and B. G. Leib.  2014.  3rd Annual Watershed Symposium, February 18th, 2014, University of Tennessee, TN, USA.

Deriving data mining and regression based water-salinity production functions for spring wheat (Triticum aestivum).  Haghverdi, A., B. Ghahraman, B. G. Leib, I. Pulido-Calvo, M. Kafi, K. Davary, and B. Ashorun.  2014.  Computers and Electronics in Agriculture, 101:68-75.

Processing technologies use of data in the new millennium and the evolution of process knowledge.  Young, T. M.  2014.  PTF BPI 2014. 3rd Intern. Conf. Processing Tech. for the Forest and Bio-based Products Industries, Salzburg/Kuchl, Austria, 24-26 September 2014. p. 21-29.

The evolution of knowledge in the forest products manufacturing Young, T. M., A. Petutschnigg, and M. Barbu.  2013.  9th edition of the International Conference “Wood Science and Engineering in the Third Millennium”, p. 22-27.

Variation discovery, data mining and predictive process in modeling of engineered wood processes Young, T. M.  2010.  Engineered Wood Journal. 13(2):25-26.

Real-time predictive modeling of industrial engineered wood quality parameters using genetic algorithms and multivariate statistical methods.  Andre, N. O., and T. M. Young.  2009.  63rd Forest Products Society International Meeting. June 23. Boise, ID.

Using Data Mining Tools of Decision Trees in Reliability Applications.  Kim, H., F.M. Guess, and T. M. Young.  2008.  IIE Transactions.