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Department of Mathematical Sciences Display Biographical Details

$Photo of http://www.usma.edu/math/SiteAssets/SitePages/Current%20Faculty/goethals_paul.png$

LTC Paul Goethals

Assistant Professor
US Army
Army Branch:
Chemical Corps

Contact Information:
Office Location: Thayer Hall, Room 254
Phone: 5619
Email: paul.goethals@usma.edu

LTC Goethals currently teaches MA366, Applied Engineering Math.

Refereed Journal Articles

Goethals, P.L., and Cho, B.R. (accepted), “Investigating Estimation Error Reduction Strategies in Complex Engineering Systems,” International Journal of Data Analysis Techniques and Strategies.
Goethals, P.L. (2013), "Higher-Order Response Surface Methods for Nanomanufacturing Process Optimization," International Journal of Quality Engineering and Technology, Vol. 3, No. 3, pp. 181-203.
Boylan, G.L., Goethals, P.L., and Cho, B.R. (2013), “Robust Parameter Design in Resource-Constrained Environments: An Investigation of Trade-offs between Costs and Precision within Variable Processes,” Applied Mathematical Modeling, Vol. 37, pp. 2394-2416.
Goethals, P.L., and Cho, B.R. (2012), “Designing the Optimal Process Mean Vector for Mixed Multiple Quality Characteristics,” IIE Transactions, Vol. 44, No. 11, pp. 1002-1021.
Goethals, P.L., and Cho, B.R. (2012), “The Optimal Process Mean Problem: Integrating Predictability and Profitability into an Experimental Factor Space,” Computers and Industrial Engineering, Vol. 62, No. 4, pp. 851-869.
Goethals, P.L., and Cho, B.R. (2012), “Extending the Desirability Function to Account for Variability Measures in Univariate and Multivariate Response Experiments,” Computers and Industrial Engineering, Vol. 62, No. 2, pp. 457-468.
Goethals, P.L., and Cho, B.R. (2012), "Designing the Optimal Mean for an Asymmetrically Distributed Process," International Journal of Productivity and Quality Management, Vol. 9, No. 1, pp. 82-102.
Goethals, P.L., and Cho, B.R. (2012), "Solving Multi-Response Optimization Problems with Enhanced Precision," International Journal of Industrial and Systems Engineering, Vol. 11, No. 3, pp. 250-278.
Goethals, P.L., and Cho, B.R. (2012), "Solving the Optimal Process Target Problem Using Computer-Generated Experimental Designs," European Journal of Industrial Engineering, Vol. 6, No. 2, pp. 234-258.
Boylan, G.L., and Goethals, P.L. (2011), "Achieving Cost Robustness in Processes with Mixed Multiple Quality Characteristics and Dynamic Variability," International Journal of Experimental Design and Process Optimisation, Vol. 2, No. 3, pp. 243-264.
Goethals, P.L., and Cho, B.R. (2011), "Reverse Programming the Optimal Process Mean Problem to Identify a Factor Space Profile," European Journal of Operational Research, Vol. 215, No. 1, pp. 204-217.
Goethals, P.L., and Cho, B.R. (2011), "Using Higher Precision-Based Response Surface Designs to Determine the Optimal Process Target," International Journal of Advanced Manufacturing Technology, Vol. 56, No. 1, pp. 13-30.
Goethals, P.L., and Cho, B.R. (2011), "The Development of Multi-Response Experimental Designs for Process Parameter Optimization," International Journal of Quality and Reliability Management, Vol. 28, No. 6, pp. 628-648.
Goethals, P.L., and Boylan, G.L. (2011), "Analyzing the Effects of Variability Measure Selection on Process and Product Optimization," International Journal of Quality Engineering and Technology, Vol. 2, No. 3, pp. 254-276.
Goethals, P.L., and Cho, B.R. (2011), "The Development of a Robust Design Methodology for Time-Oriented Dynamic Quality Characteristics with a Target Profile," Quality and Reliability Engineering International, Vol. 27, No. 4, pp. 403-414.
Goethals, P.L., and Cho, B.R. (2011), "The Development of a Target-Focused Process Capability Index with Multiple Characteristics," Quality and Reliability Engineering International, Vol. 27, No. 3, pp. 297-311.
Hardeman, C., and Goethals, P.L. (2011), "A Case Study: Applying Lean Six Sigma Concepts to Design a More Efficient Airfoil Extrusion Shimming Process," International Journal of Six Sigma and Competitive Advantage, Vol. 6, No. 3, pp. 173-196.
Goethals, P.L., and Cho, B.R. (2011), "Solving the Optimal Process Target Problem Using Response Surface Designs in Heteroscedastic Conditions," International Journal of Production Research, Vol. 49, No. 12, pp. 3455-3478.
Goethals, P.L., Aragon, L.G., and Cho, B.R. (2009), "Experimental Investigations of Estimated Response Surface Functions with Different Variability Measures," International Journal of Experimental Design and Process Optimisation, Vol. 1, Nos. 2/3, pp. 123-163.

Refereed Conference Proceedings and Other Publications

Goethals, P.L., and Cho, B.R. (2011), "The Development of Quality Models for Military Protective Armor Manufacturing," Proceedings of the 2011 Industrial Engineering Research Conference, May 21-25, Reno, NV.
Goethals, P.L., and Cho, B.R. (2011), "Increasing the Predictability of Manufacturing Processes through Reverse Optimization," Proceedings of the 2011 Industrial Engineering Research Conference, May 21-25, Reno, NV.
Goethals, P.L., and Cho, B.R. (2010), "Extending the Optimal Process Mean Problem for Single and Multiple Quality Characteristics," Proceedings of the 2010 Southeastern Institute for Operations Research and the Management Sciences Conference, October 7-8, Myrtle Beach, SC, pp. 426-437.
Goethals, P.L., and Cho, B.R. (2010), "Experimental Analysis of Estimator Functions in Response Surface Designs," Proceedings of the 2010 Industrial Engineering Research Conference, June 5-8, Cancun, Mexico.
Goethals, P.L., and Cho, B.R. (2010), "Investigating Higher-Order Response Surface Methods for Military Nanotechnology Applications," Proceedings of the 2010 Industrial Engineering Research Conference, June 5-8, Cancun, Mexico.
Goethals, P.L., and Mayorga, M. (2009), "Promoting Efficiency in Unmanned Military Systems," Proceedings of the 2009 Annual Industrial Engineering Conference, May 30 - June 3, Miami, FL, pp. 1250-1255.
Goethals, P.L. (2003), "Old School vs. New School: A Militaristic Approach," Mathematica Militaris, Vol. 13, No. 1, pp. 5-9.

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