lndustrial Engineering

Dr. B. Rae Cho

Associate Professor

Department of Industrial Engineering
104C Freeman Hall, Clemson University
Clemson, SC 29634-0920

Phone: (864) 656-1874
Fax: (864) 656-0795
Email: bcho@clemson.edu

Personal Web Page:
Under Construction

Dr. Byung Rae Cho

Education

MS, Industrial and Systems Engineering
Ohio State University

PhD, Industrial Engineering
University of Oklahoma

Research Areas

Six Sigma and process improvement, quality improvement by statistical modeling and operations research, process control and monitoring in healthcare, response surface methodology based robust parameter design, optimal experimental designs with irregular design space, process capability analysis under special situations, statistical inference under special situations, convolution of special probability distributions, process target problems, Bayesian modeling, inverse problems, Kalman filtering, modeling of tolerances and gap analysis, pharmaceutical formulation problems, probabilistic modeling in military operations research,  bombing coverage problems, noise reductions in missile defense radar systems, and prediction of missile trajectories.

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Courses Taught

  • ENGR 1200 Engineering Problem Solving and Design (U)
  • IE 3610 Industrial Applications of Probability and Statistics II (U)
  • IE 3800, Deterministic Operations Research (U)
  • IE 3810, Probabilistic Operations Research (U)
  • IE 4020 Creative Inquiry (U)
  • IE 4610 Quality Engineering (U)
  • IE 4620/6620 Six Sigma Quality (U/G)
  • IE 8030 Engineering Optimization (G)
  • IE 8050 Foundations in Quality Engineering (G)
  • IE 8090 Modeling Systems under Risk (G)
  • IE 8530 Foundations of Quality (G)
  • IE 8710 Reliability Engineering and Industrial Testing (G)
  • IE 9710 Advanced Quality Engineering (G)

 

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Professional Affiliations

  • Editor-in-Chief, International Journal of Quality Engineering and Technology (2009-present)
  • Editor-in-Chief, International Journal of Six Sigma and Competitive Advantage (2009-2012)
  • Editor-in-Chief, Journal of Experimental Design and Process Optimization (2010-2013)


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Former Ph.D. Students

(Year of graduation; the first job upon graduation)
  • Dr. Gregory Boylan (2013, Assistant Professor of Systems Engineering at the US Military Academy, West Point)
  • Dr. Zhe Li (2012, Google, Mountain View, CA)
  • Dr. Paul Goethals (2011, Assistant Professor of Mathematical Sciences at the U.S. Military Academy, West Point)
  • Dr. Abdul-Bassit Shaibu (2009, Faculty member of Mathematics and Chemistry at Florida Gulf Coast University)
  • Dr. Jami Kovach (2006, Assistant Professor of Information & Logistics Technology at the University of Houston)
  • Dr. Sangmun Shin (2004; Assistant Professor of Information Systems and Management Engineering at Inje University, South Korea)
  • Dr. Madhumohan Govindaluri (2004, Assistant Professor of Management at Rampo College of New Jersey)
  • Dr. Jaywan Kim (2004, Faculty member at California University of Management and Sciences)
  • Dr. Apichai Sopadang (2002;  Assistant Professor of Industrial Engineering at Chiang Mai University, Thailand)
  • Dr. Jirarat Teeraraprug (2001, Assistant Professor of Industrial Engineering at Thammasat University, Thailand)
  • Dr. Young Jin Kim (2001, Assistant Professor of Industrial & Systems Engineering at Mississippi State University)
  • Dr. Michael Phillips (1998, Assistant Professor of Mathematical Sciences at the U.S. Military Academy, West Point)


Selected Journal Publications
*Clemson University Industrial Engineering students or graduates

  1. B.R. Cho and J. Kim*, “The Prediction of Missile Trajectories Using a Kalman Filter: A Simulation Study,” International Journal of Experimental Design and Process Optimisation, 4(1), 27-51, 2014.
  2. J. Cha* and B.R. Cho, “Classical Statistical Inference Extended to Truncated Populations for Continuous Process Improvement: Test Statistics, P-values, and Confidence Intervals,” Quality and Reliability Engineering International, 2014.
  3. J. Kim* and B.R. Cho, “Mathematical Foundations of Noise Reduction in Theater Ballistic Missile Defense Radar Systems,” International Journal of Experimental Design and Process Optimisation, 4(1), 52-70, 2014.
  4. P. Goethals* and B.R. Cho, “Investigating Estimation Error Reduction Strategies in Complex Engineering Systems,” International Journal of Data Analysis Techniques and Strategies: Special Issue on Multivariate Analysis and Quality Control, 6(1), 43-72, 2014.
  5. J. Cha*, B.R. Cho, and J. Sharp, “Rethinking the Truncated Normal Distribution,” Submitted to International Journal of Experimental Design and Process Optimization, 3(4), 327-363, 2013.
  6. G. Boylan* and B.R. Cho, “Studies on the Effects of Estimator Selection in Robust Parameter Design under Asymmetric Conditions,” Quality and Reliability Engineering International, 29(3), 2013.
  7. H. Chan* and B.R. Cho, “The Development of Specifications-Based S- and L-type Robust Designs,” International Journal of Experimental Design and Process Optimization, 3(4), 364-383, 2013.
  8. G. Boylan* and B.R. Cho, “Robust Parameter Design in Embedded High-Variability Production Processes: an Alternative Approach to Mitigating Sources of Variability,” International Journal of Production Research, 51(15), 4517-4538, 2013.
  9. H. Chan* and B.R. Cho, “The Development of Specifications-Based N-type Robust Design,” International Journal of Experimental Design and Process Optimization, 3(3), 217-244, 2013.
  10. G. Boylan* and B.R. Cho, “Solving the Multidisciplinary Robust Parameter Design Problem for Mixed-type Quality Characteristics under Asymmetric Conditions,” Quality and Reliability Engineering International, 29(5), 571-582 (2013).
  11. G. Boylan* and B.R. Cho, “Comparative Studies on the High-Variability Embedded Robust Parameter Design from the Perspective of Estimators,” Computers & Industrial Engineering, 64(1), 442-452 (2013).
  12. Z. Li*, B.R. Cho, and B. Melloy, “Quality by Design Studies on Multi-response Pharmaceutical Formulation Modeling and Optimization,” Journal of Pharmaceutical Innovation, 8, 28-44 (2013).
  13. G.L. Boylan*, P. Goethals*, and B.R. Cho, “Robust Parameter Design in Resource-Constrained Environments: An Investigation of Trade-offs between Costs and Precision within Variable Processes,” Applied Mathematical Modeling, 37, 2394-2416 (2013).
  14. P. Goethals* and B.R. Cho, “The Optimal Process Mean Problem: Integrating Predictability and Profitability into an Experimental Factor Space,” Computers & Industrial Engineering, 62(4), 851-869 (2012).
  15. G.L. Boylan* and B.R. Cho, “The Normal Probability Plot as a Tool for Understanding Data: A Shape Analysis from the Perspective of Skewness, Kurtosis, and Variability,” Quality and Reliability Engineering International, 28(3), 249-264 (2012).
  16. P. Goethals* and B.R. Cho, “Solving Multiresponse Problems with Enhanced Precision,” International Journal of Industrial and Systems Engineering, 11(3), 250-278 (2012).
  17. H. Toro Diaz*, H.S. Chan*, and B.R. Cho, “Optimally Designing Experiments under Non-Standard Experimental Situations,” International Journal of Experimental Design and Process Optimisation, 3(2), 133-157 (2012).
  18. P. Goethals* and B.R. Cho, “Designing the Optimal Process Mean Vector for Mixed Multiple Quality Characteristics,” IIE Transactions, 44, 1002-1021 (2012). 
  19. B.R. Cho and S. Shin*, “Quality Improvement and Robust Design Methods to a Pharmaceutical Research and Development,” Mathematical Problems in Engineering, 1-13 (2012).
  20. Z. Li*, B.R. Cho, and B. Melloy, “A Research and Development Effort in Developing the Optimal Formulations for New Tablet Drugs Using Design of Experiments: Part 1 (Dissolution Comparisons), International Journal of Experimental Design and Process Optimisation, 3(1), 43-67 (2012).
  21. Z. Li*, B.R. Cho, and B. Melloy, “A Research and Development Effort in Developing the Optimal Formulations for New Tablet Drugs Using Design of Experiments: Part 2 (Bioequivalence Studies), International Journal of Experimental Design and Process Optimisation, 3(1), 68-90 (2012).
  22. P. Goethals*and B.R. Cho, “Solving the Process Target Problem Using Computer-Generated Experimental Designs,” European Journal of Industrial Engineering, 6(2), 234 - 258 (2012).
  23. P. Goethals* and B.R. Cho “Extending the Desirability Function to Account for Variability Measures in Univariate and Multivariate Response Experiments,” Computers & Industrial Engineering, 62, 457-468 (2012).
  24. P. Goethals* and B.R. Cho, “Designing the Optimal Mean for an Asymmetrically Distributed Process,” International Journal of Productivity and Quality Management, 7(1), 82-102 (2011).
  25. P. Goethals* and B.R. Cho, “Reverse Programming the Optimal Process Mean Problem to Identify a Factor Space Profile,” European Journal of Operational Research, 215, 204–217 (2011).
  26. P. Goethals* and B.R. Cho, “The Development of Multi-Response Experimental Designs for Process Parameter Optimization,” International Journal of Quality and Reliability Management, 28(6), 628-648 (2011).
  27. P. Goethals* and B.R. Cho, “The Development of a Robust Design Methodology for Time-Oriented Dynamic Quality Characteristics with a Target Profile,” Quality and Reliability Engineering International, 27, 403-414 (2011).
  28. P. Goethals*and B.R. Cho, “The Development of a Target Focused Process Capability Index with Multiple Characteristics,” Quality and Reliability Engineering International, 27, 297-311 (2011).
  29. P. Goethals*and B.R. Cho, “Solving the Optimal Target Problem Using Response Surface Designs in Heteroscedastic Conditions,” International Journal of Production Research, 49(12), 3455-3478 (2011).
  30. S. Shin*, K.V.T, Nguyen, B.R. Cho, and S.H. Hong, “Development of a Sequential Robust-Tolerance Design Model for a Destructive Quality Characteristic,”  Computers & Industrial Engineering, 60, 777-789 (2011).
  31. S. Shin*, F. Samanlioglu*, B.R. Cho, and M.M. Wiecek, “Computing Trade-offs in Robust Design: Perspectives of the Mean Squared Error,” Computers & Industrial Engineering, 60, 248-255 (2011).
  32. P. Goethals*and B.R. Cho, “Using Higher Precision-Based Response Surface Designs to Determine the Optimal Process Target,” International Journal of Advanced Manufacturing Technology, 56, 13-30 (2011).
  33. S. Shin*, P. Kongsuwon, and B.R. Cho, “Development of the Parametric Tolerance Modeling and Optimization Schemes and Cost-Effective Solutions,”  European Journal of Operational Research, 207, 1728-1741 (2010).
  34. B.R. Cho, Y. Choi, and S. Shin*, “Development of Censored Data Based Robust Design for Pharmaceutical Quality by Design,” International Journal of Advanced Manufacturing Technology, 49, 839-851 (2010).
  35. P. Goethals*, L. Aragon*, and B.R. Cho, “Experimental Investigations of Estimated Response Surface Functions with Different Variability Measures,” International Journal of Experimental Design and Process Optimisation, 1 (2/3), 123-163 (2009).
  36. S. Shin* and B. R. Cho, “Studies on a Bi-objective Robust Design Optimization Problem,” IIE Transactions, 41, 957-968 (2009).
  37. B.R. Cho, S. Shin*, Y. Choi, and J. Kovach*, “Development of a Multidisciplinary Optimization Process for Designing Optimal Pharmaceutical Formulations with Constrained Experimental Regions,” International Journal of Advanced Manufacturing Technology, 44, 841-853 (2009).
  38. M. Kumar, J. Antony, and B.R. Cho, “Project Selection and Its Impact on the Successful Deployment of Six Sigma,” Business Process Management Journal, 15(5), 669-686 (2009).
  39. S. Bowling*, M. Khasawneh*, and B.R. Cho, “A Logistic Approximation to the Cumulative Normal Distributions,” International Journal of Industrial Engineering and Management, 2(1), 114-127 (2009).
  40. J. Kovach* and B.R. Cho, “A D-Optimal Design Approach for Constrained Multiresponse Robust Design with Prioritized Mean and Variance Considerations,” Computers & Industrial Engineering, 57, 237-245 (2009).
  41. A.B. Shaibu* and B.R. Cho, “Another View of Dual Response Surface Modeling and Optimization in Robust Parameter Design,” International Journal of Advanced Manufacturing Technology, 41, 631-641 (2009).
  42. A.B. Shaibu*, B.R. Cho, and J. Kovach*, “Development of Censored Robust Design for Time-Oriented Quality Characteristics,” Quality and Reliability Engineering International, 25, 181-197 (2009).
  43. J. Kovach*, B.R. Cho, and J. Antony “Development of a Variance Prioritized Multiresponse Robust Design Optimization Framework,” International Journal of Quality and Reliability Management, 26(4), 380-396 (2009).
  44. H. Jeong, S. Shin*, and B.R. Cho, “Integrating Data Mining to a Process Design Using the Robust Bayesian Approach,” International Journal of Quality, Reliability and Safety Engineering, 15(5), 441-464 (2008).
  45. M. T. Khasawneh*, S. R. Bowling*, and B. R. Cho, “A Markovian Approach to Determining Optimum Process Means with Dual Quality Characteristics in a Multi-Stage Production System,” Journal of System Science and System Engineering, 17(1), 66-85 (2008).
  46. J. Kovach* and B.R. Cho, “Constrained Robust Design Experiments and Optimization with the Consideration of Uncontrollable Factors,” International Journal of Advanced Manufacturing Technology, 38, 7-18 (2008).
  47. S. Shin* and B. R. Cho “Development of a Sequential Optimization Procedure for Robust Design and Tolerance Design within a Bi-objective Paradigm," Engineering Optimization, 40(11), 989-1009 (2008).
  48. J. Kovach* and B.R. Cho, “Development of a Multidisciplinary-Multiresponse Robust Design Optimization Model,” Engineering Optimization, 40(9), 805-819 (2008).
  49. J. Kovach* and B.R. Cho, “Development of a D-Optimal Robust Design Model for Restricted Experiments,” International Journal of Industrial Engineering, 14(2), 117-128 (2007). 
  50. J. Kovach* and B.R. Cho, “Solving Multiresponse Optimization Problems Using Quality Function-Based Robust Design,” Quality Engineering, 20, 346-360 (2008).
  51. J. Kovach*, B.R. Cho, J. Antony, "Development of an Experiment based Robust Design Paradigm for Multiple Quality Characteristics Using Physical Programming," International Journal of Advanced Manufacturing Technology, 35, 1100-1112 (2008).
  52. J. Antony, F. Antony, M. Kumar, and B.R. Cho, “Six Sigma in Service Organizations: Benefits, Challenges and Difficulties, Common Myths, Empirical Observations and Success Factors,” International Journal of Quality and Reliability Management, 24(3), 294-311 (2007).
  53. S.M. Govindaluri* and B.R. Cho, “Robust Design Modeling and Optimization with Correlated Quality Characteristics Using a Multicriteria Decision Framework,” International Journal of Advanced Manufacturing Technology, 32, 423-433 (2007).
  54. S. Shin* and B. R. Cho, “Integrating a Bi-Objective Paradigm to Tolerance Optimization,” International Journal of Production Research: Special Issue on Advanced Quality Engineering, 45, 5509-5525 (2007).
  55. J. Kovach*, L.D. Fredendall, and B.R. Cho, “The Interconnectedness among Auxiliary Benefits and Supporting Practices within the Quality Function Deployment Process,” International Journal of Six Sigma and Competitive Advantage, 3(2), 137-155 (2007).
  56. S.H. Hong and B.R. Cho, “Joint Optimization of Process Target Mean and Tolerance Limits with Measurement Errors under Multi-Decision Alternatives,” European Journal of Operational Research 183, 327-335 (2007).
  57. M. Govindaluri* and B.R. Cho, “The Markovian Based Fuzzy Entropy Method for Quantifying the Customer Preferences,” International Journal of Industrial Engineering, 14(1), 63-72 (2007).
  58. Y.J. Kim*, B.R. Cho, and N.K. Kim,  “Economic Design of Inspection Procedures Using Guard Band When Measurement Errors are Present,” Applied Mathematical Modelling, 31(5), 805-816 (2007).
  59. J. Kovach* and B.R. Cho, “A D-Optimal Design Approach to Robust Design under Constraints: A New Design for Six Sigma Tool,” International Journal of Six Sigma and Competitive Advantage, 2(4), 389-403 (2006).
  60. A.-B. Shaibu* and B.R. Cho, “Development of Realistic Quality Loss Functions for Industrial Applications,” Journal of Systems Science and Systems Engineering, 15 (4), 385-398 (2006).
  61. S. B. Lee, C. Park, and B.R. Cho, “Development of Highly Efficient and Resistant Robust Design,” International Journal of Production Research, 45(1), 157-167 (2007).
  62. S. Shin* and B.R. Cho, “Robust Design Models for Customer-Specified Bounds on Process Parameters,” Journal of Systems Science and Systems Engineering, 15(1), 2-18 (2006). 
  63. S.H. Hong, H. Kwon, M.K. Lee, and B.R. Cho, “Joint Optimization in Process Target and Tolerance Limit for L-Type Quality Characteristics," International Journal of Production Research, 44(15), 3051-3060 (2006).
  64. J. Kovach* and B.R. Cho, “Development of Product Family-Based Robust Design: A Case Study,” International Journal of Six Sigma and Competitive Advantage, 1(4), 403-419 (2005).
  65. M.S. Govindaluri* and B.R. Cho, “Integration of Customer and Designer Preferences in Robust Design,” International Journal of Six Sigma and Competitive Advantage, 1(3), 276-294 (2005).
  66. S. Shin*, M.S. Govindaluri*, and B.R. Cho, “Integrating the Lambert W Function to a Tolerance Optimization Problem,” Quality and Reliability Engineering International, 21(8), 795-808 (2005).
  67. B.R. Cho and M.D. Phillips*, and J. Kovach* “Designing the Optimum Configurations of Circular and Spherical Product Specifications for Multiple Quality Characteristics,” Journal of Systems Science and Systems Engineering, 14(4), 385-399 (2005).
  68. J. Kovach*, P. Stringfellow*, J. Turner*, and B.R. Cho, “The House of Competitiveness: The Marriage of Agile Manufacturing, Design for Six Sigma, and Lean Manufacturing with Quality Considerations,” Journal of Industrial Technology, 21(3), 2-10 (2005).
  69. B.R. Cho and C. Park, “Robust Design Modeling and Optimization with Unbalanced Data," Computers & Industrial Engineering, 48, 173-180 (2005).
  70. M.T. Khasawneh*, S. R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “Tables of a Truncated Standard Normal Distribution: A Doubly Truncated Case,” Quality Engineering, 17(2), 227-241 (2005).
  71. Y.J. Kim*, B.R. Cho, M.K. Lee, and H.M. Kwon, “Design Optimization Modeling of Customer-Driven Concurrent Tolerance Allocation”,  Lecture Notes in Computer Science, Springer- Verlag, 3483, 212-221 (2005). Note: Until 2006, LNCS had been an SCI indexed refereed journal.
  72. S. Shin* and B.R. Cho, “Bias-Specified Robust Design Optimization and Its Analytical Solutions,” Computers & Industrial Engineering, 48, 129-140 (2005).
  73. M.T. Khasawneh*, S. R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “Tables of a Truncated Standard Normal Distribution: A Singly Truncated Case,” Quality Engineering, 17(1), 33-50 (2005).
  74. M.S. Govindaluri*, S. Shin*, and B.R. Cho, “Tolerance Design Using the Lambert W Function: An Empirical Approach,” International Journal of Production Research, 42(16), 3235-3251 (2004).
  75. S. R. Bowling*, M.T. Khasawneh*, S. Kaewkuekool*, and B.R. Cho, “A Markovian Approach to Determining Optimal Process Target Levels for a Multi-Stage Serial Production System,” European Journal of Operational Research, 159(3), 636-650 (2004).
  76. Y.J. Kim* and B.R. Cho, “Determining the Optimum Process Mean for a Skewed Process,” International Journal of Industrial Engineering, 10(4), 555-561 (2003).
  77. B.R. Cho, “Box on Quality and Discovery with Design, Control, and Robustness (book review),” IIE Transactions, 35(6), 584-586 (2003).
  78. C. Park and B.R. Cho, “Development of Robust Design under Contaminated and Non-Normal Data,” Quality Engineering, 15 (3), 463-469 (2003).
  79. Y.J. Kim* and B.R. Cho, “Development of Priority-Based Robust Design,” Quality Engineering, 14(3), 355-363 (2002). 
  80. M.S. Govindaluri* and B.R. Cho, “Optimal Screening Limits in Multi-Stage Assemblies,” International Journal of Production Research, 40(9), 1993-2009 (2002).
  81. B.R. Cho, “Fuzzy Logic and Data Mining in Quality,” Process Control and Quality, 12(1), 37-57 (2002).
  82. Sopadang*, B.R. Cho, and M.S. Leonard, “Development of the Hybrid Weight Assessment System for Multiple Quality Attributes,” Quality Engineering, 15(1), 75-89 (2002).
  83. J. Teeravaraprug* and B.R. Cho, “Designing the Optimal Process Target for Multiple Quality Characteristics,” International Journal of Production Research, 40(1), 37-54, (2002).
  84. J. Teeravaraprug*, B.R. Cho, and W.J. Kennedy, “Designing the Most Cost-Effective Process Target Using Regression Analysis: A Case Study,” Process Control and Quality, 11(6), 469-477 (2001).
  85. Sopadang*, B.R. Cho, and M.S. Leonard, “Development of a Scaling Factor Identification Method Using Design of Experiments for Product-Family Based Product and Process Design,” Quality Engineering, 14(2), 319-329 (2001).
  86. M.D. Phillips* and B.R. Cho, “A Nonlinear Model for Determining the Most Economic Process Mean Under a Beta Distribution,” International Journal of Reliability, Quality and Safety Engineering, 7(1), 61-74 (2000).
  87. Y.J. Kim*and B.R. Cho, “Economic Integration of Design Optimization,” Quality Engineering, 12(4), 561-567 (2000).
  88. B.R. Cho, Y.J. Kim*, D.L. Kimbler, and M.D. Phillips*, “An Integrated Joint Optimization Procedure for Robust and Tolerance Design,” International Journal of Production Research, 38(10), 2309-2325 (2000).
  89. Y.J. Kim* and B.R. Cho, “Economic Design of Measurement Systems,” Process Control and Quality, 11(5), 395-405 (2000).
  90. Y.J. Kim* and B.R. Cho, “The Use of Response Surface Designs in the Selection of Optimum Tolerance Allocation,” Quality Engineering, 13(1), 35-42 (2000).
  91. Y.J. Kim* and B.R. Cho, “Economic Consideration on Parameter Design,” Quality and Reliability Engineering International, 16, 501-514 (2000).
  92. M.D. Phillips* and B.R. Cho, “Modelling of Optimal Specification Regions,” Applied Mathematical Modelling, 24, 327-341 (2000).
  93. Y.J. Kim*, B.R. Cho, and M.D. Phillips*, “Determination of the Optimal Process Mean with the Consideration of Variance Reduction and Process Capability,” Quality Engineering, 13(2), 251-260 (2000).
  94. M.D. Phillips* and B.R. Cho, “Quality Improvement for Process Mean with Circular and Spherical Specification Regions,” Quality Engineering, 11(2), 235-243 (1998).
  95. B.R. Cho and M.D. Phillips*, “Design of the Optimum Product Specifications for S-Type Quality Characteristics,” International Journal of Production Research, 36(2), 459-474 (1998).
  96. M.D. Phillips* and B.R. Cho, “An Empirical Approach to Designing Product Specifications: A Case Study,” Quality Engineering, 11 (1), 91-100 (1998).
  97. B.R. Cho and M.S. Leonard, “Identification and Extensions of Quasiconvex Quality Loss Functions,” International Journal of Reliability, Quality and Safety Engineering, 4(2), 191-204 (1997).
  98. K.C. Kapur and B.R. Cho, “Economic Design of the Specification Region for Multiple Quality Characteristics,” IIE Transactions, 28, 237-248 (1996).
  99. B.R. Cho, W.G. Ferrell, and D.L. Kimbler, “Development of the Optimum Product Specification for an Exponential-Type Quality Characteristic,” International Journal of Reliability, Quality and Safety Engineering, 3(3), 243-256 (1996).
  100. K.C. Kapur and B.R. Cho, “Economic Design and Development of Specifications,” Quality Engineering (6)3, 401-417 (1994).

 


Selected Invited Talks and Presentations

    1. R. Krenek*, S. Harris, G. Helmrich, B.R. Cho, and J. Greenstein, “A Gage R&R Study in a Healthcare Setting,” INFORMS Annual Conference, San Francisco, CA (November 2014).
    2. G. Boylan* and B.R. Cho, “Robust Design in Ballistic Armor Applications: Estimation under Asymmetric Conditions,” Industrial and Systems Engineering Research Conference, Orlando, FL (May 2012).
    3. P. Goethals* and B.R. Cho, "Tolerance Design: Modeling Highly Unpredictable Processes,” Industrial and Systems Engineering Research Conference, Orlando, FL (May 2012).
    4. P. Goethals*, Griggs, T., B.R. Cho, and G. Boylan*, “Designing Damage Functions for Military Applications, INFORMS Annual Conference, Phoenix, AZ (October 2012).
    5. G.L. Boylan* and B.R.Cho, “Conditions-Base Approach to Regression Estimation in Robust Parameter Design,” INFORMS Annual Conference, Phoenix, AZ (October 2012).
    6. P. Goethals* and B.R. Cho, "The Bombing Problem – Alternative Techniques in Modeling and Optimization,” Industrial and Systems Engineering Research Conference, Orlando, FL (May 2012).
    7. P. Goethals*, G.L. Boylan*, and B.R. Cho, “Solving Tolerance Optimization Problems for Complex Manufacturing Systems”, Joint Mathematics Meetings, Boston, MA (January 2012).
    8. P. Goethals*, G.L. Boylan*, and B.R. Cho (2011), “Implementing a Cost-Effective Approach to Tolerance Design”, 19th Annual Army Research Labs (ARL) / United States Military Academy (USMA) Technical Symposium, Atlantic City, NJ (November 2011).
    9. P. Goethals*, G. Boylan*, and B.R. Cho, “Economic Design of the Optimal Parameters in the Presence of Skewness,” INFORMS Annual Conference, Charlotte, NC (November 2011).
    10. G. Boylan*, P. Goethals*, and B.R. Cho, “Examining Tradeoffs between Costs and Precision to Support Decision-Making in Robust Design,” INFORMS Annual Conference, Charlotte, NC (November 2011).
    11. P. Goethals* and B.R. Cho, “The Adaptation of Statistical Quality Control Methods for Nanoparticle Production Enhancement,” INFORMS Annual Conference, Charlotte, NC (November 2011).
    12. Z. Li*, H. Chan*, B.R. Cho, and B. Melloy, “Pharmaceutical Formulation Optimization for Scaling up Development of Brand Name Drugs,” INFORMS Annual Conference, Charlotte, NC (November 2011).
    13. H. Chan*, Z. Li*, B.R. Cho, and B. Melloy, “Development of Tolerance Synthesis and Optimization for a Pharmaceutical Quality Characteristic with a Target Profile,” INFORMS Annual Conference, Charlotte, NC (November 2011).
    14. P. Goethals* and B.R. Cho, "The Development of Quality Models for Military Protective Armor Manufacturing," Industrial Engineering Research Conference, Reno, NV (May 2011).
    15. P. Goethals* and B.R. Cho, "Increasing the Predictability of Manufacturing Processes through Reverse Optimization," Industrial Engineering Research Conference, Reno, NV (May 2011).
    16. P. Goethals* and B.R. Cho, “Process and Product Optimization: Developing a Road Map to the Most Profitable System Settings,” American Mathematical Society (AMS) Sectional Meeting, Statesboro, GA (March 2011).
    17. P. Goethals* and B.R. Cho, “A Nonlinear Optimization Approach to Complex Engineering Systems,” Mathematical Association of America (MAA) Sectional Meeting, Orlando, FL (February 2011).
    18. P. Goethals* and B.R. Cho, "Experimental Analysis of Estimator Functions in Response Surface Designs," Industrial Engineering Research Conference, Cancun, Mexico (June 2010).
    19. P. Goethals* and B.R. Cho, "Investigating Higher-Order Response Surface Methods for Military Nanotechnology Applications," Industrial Engineering Research Conference, Cancun, Mexico (June 2010).
    20. M.D. Paul*, A.K. Gramopadhye, and B.R. Cho, “Virtual Borescope Training of Aircraft Maintenance Technicians: Transfer Effects Study,” Industrial Engineering Research Conference, Cancun, Mexico (June 2010).
    21. P. Goethals* and B.R. Cho, "Extending the Optimal Process Mean Problem for Single and Multiple Quality Characteristics," Southeastern Institute for Operations Research and the Management Sciences Conference, Myrtle Beach, SC, (October 2010).
    22. S. Shin*, K. Park, Y. Choi, and B.R. Cho, “Development of a Robust Data Analysis Methodology for BcN Service Technology Innovation, International Conference on Learning Innovation in Science and Technology, Pattaya, Thailand (February 2010).
    23. P. Goethals* and B.R. Cho, “The Application of Higher-Order Polynomial Models to Nanoparticle Manufacturing,” INFORMS Annual Conference, Austin, TX (November 2010).
    24. P. Goethals* and B.R. Cho, “The Development of Improved Optimization Techniques for Quality Advancement in Military Applications,” Southern Regional INFORMS Conference, Huntsville, AL (April 2010).
    25. T. Kovach and B.R. Cho, “A Six Sigma Case Study in Process Improvement at Nestle Prepared Food Company,” IIE Applied Solutions, Cancun, Mexico (May 2010).
    26. B.R. Cho, “Robust Design,” 75-minute tutorial, Industrial Engineering Research Conference, Miami, FL (May 2009).
    27. B.R. Cho, “Robust Design Modeling and Optimization,” International Global Network Research Symposium,” Chonbuk National University, South Korea (May 2009).
    28. J. Puente*, L. Aragon*, and B.R. Cho, “Development of Resistant Robust Design Using Robust Estimators,” Industrial Engineering Research Conference, Miami, FL (June 2009).
    29. L. Aragon*, J. Puente*, and B.R. Cho, “Integrating the Lambert W Function into Optimal Tolerance Design,” Industrial Engineering Research Conference, Miami, FL (June 2009).
    30. M. Zelaya*, Y. Yang*, and B.R. Cho, “Multiresponse Optimization in Pharmaceutics with Nuisance Variables,” Industrial Engineering Research Conference, Miami, FL (June 2009).
    31. A-B Shaibu*, Y. Yang*, and B.R. Cho, “Development and Implementation of Type I and II Exponential Quality Loss Functions,” Industrial Engineering Research Conference, Vancouver, Canada (May 2008).
    32. Y. Yang*, A-B Shaibu*, B.R. Cho, and M. Mayorga, “The simultaneous Optimization of Process Target Levels and Specification Region for Dual Quality Characteristics,” Industrial Engineering Research Conference, Vancouver, Canada (May 2008).
    33. Y. Yang*, B.R. Cho, S. Shin*, and Y. Choi, “A PAT Improvement in Pharmaceutical Design,” Industrial Engineering Research Conference, Vancouver, Canada (May 2008).
    34. Sparks*, B.R. Cho, and J. Kovach*, “Leveraging the DMAIC Model to Drive Improvement in a Service Process,” Industrial Engineering Research Conference, Vancouver, Canada (May 2008).
    35. J. Kovach* and B.R. Cho, “A Pharmaceutical Design for Quality,” Southwest INFORMS Regional Meeting, Dallas, TX (April 2008).
    36. J. Kovach* and B.R. Cho, “An Experimental-Based Optimization Model for Constrained Multiresponse Robust Design Problems,” Industrial Engineering Research Conference, Nashville, TN (May 2007).
    37. J. Kovach* and B.R. Cho, “Design for Six Sigma Projects Using Quality Function Deployment Priorities within Multiresponse Robust Design Problems,” Industrial Engineering Research Conference, Nashville, TN (May 2007).
    38. M. Zelaya*, B.R. Cho, S. Shin*, and Y. Choi, “Experimental Design Aspects for Nanoparticle Pharmaceutical Formulations,” Industrial Engineering Research Conference, Nashville, TN (May 2007).
    39. M. Zelaya*, B.R. Cho, S. Shin*, and Y. Choi “Development of Bounded Robust Parameter Design for Pharmaceutical Quality Improvement,” Industrial Engineering Research Conference, Nashville, TN (May 2007).
    40. J. Kovach* and B.R. Cho, “Optimization of Constrained Experiments with the Consideration of Uncontrollable Factors,” Industrial Engineering Research Conference, Orlando, FL (May 2006).
    41. J. Kovach* and B. R. Cho, “Integration of Quality Function Deployment Priorities within Multiresponse Robust Design Problems,” Industrial Engineering Research Conference, Orlando, FL (May 2006).
    42. J. Kovach* and B.R. Cho, “An Experimental Based Optimization Model for Constrained Multiresponse Robust Design Problems”, Industrial Engineering Research Conference, Orlando, FL (May 2006).
    43. J. Kovach*, B.R. Cho, and L.D. Fredendall, “Latent Benefits and Connections within Quality Function Deployment,” Industrial Engineering Research Conference, Orlando, FL (May 2006).
    44. J. Kovach* and B.R. Cho, “A Robust Design Optimization Model Considering Multiple Responses of Different Types”, INFORMS Annual Conference, Pittsburgh, PA (November 2006).
    45. J. Kovach*, A.B. Shaibu*, and B.R. Cho, “Analysis of the Criteria for Optimal Experimental Designs,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    46. A.B. Shaibu*, J. Kovach*, and B.R. Cho, “Investigation of Convergence Properties of the Expectation Maximization Algorithm,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    47. J. Turner*, J. Kovach*, P. Stringfellow*, and B.R. Cho, “Combinations for Competitiveness: Balancing Production and Quality,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    48. S. Shin*, B.R. Cho, and S.H. Hong, “Development of Information-Driven Robust Design: A Bayesian View,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    49. S.H. Hong, S. Shin* and B.R. Cho, “Joint Determination of Optimum Process Mean and Screening Limits for Multiple Market Structures,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    50. S. Shin*, B.R. Cho, and S.H. Hong, “The Weighted-Tchebycheff Approach to Design Optimization,” Industrial Engineering Research Conference, Atlanta, GA (May 2005).
    51. J. Kovach*, V. Chander*, and B.R. Cho, “A Computer-Generated Experimental Design for a Constrained Region,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    52. V. Chander*, J. Kovach*, and B.R. Cho, “Experimental and Optimization Protocols by Combining Control and Noise Factors,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    53. M.S. Govindaluri*, S. Shin*, and B.R. Cho, “An Integrated Decision Framework for Robust Parameter Design,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    54. S. Shin*, M.S. Govindaluri*, and B.R. Cho, “A Mixed-Integer Robust Design Optimization and Generic Algorithm,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    55. S. Shin*, M.S. Govindaluri*, and B.R. Cho, “Investigations on Robust Design from the Perspective of Optimization,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    56. J. Kovach*, V. Chander*, and B.R. Cho, “The Tolerance Optimization for a Skewed Process Distribution,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    57. Chander*, J. Kovach*, and B.R. Cho, “Analysis of Univariate and Multivariate Quality Loss Functions,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    58. M.S. Govindaluri*, S. Shin*, and B.R. Cho, “Integrated Weight Assessment System Using a Markovian Model for Characterizing Customer Evaluation,” Industrial Engineering Research Conference, Houston, TX (May 2004).
    59. J.W. Kim*, S. Shin*, and B.R. Cho, “An Evaluation of Military Target Destruction Using a Quadratic Damage Function,” the 31st International Conference of Computers and Industrial Engineering, San Francisco, CA (February 2003).
    60. S. Shin*, C. Lee*, and B.R. Cho, “A Bias-Specified Robust Design Model and an Analytical Solution,” the 31st International Conference of Computers and Industrial Engineering, San Francisco, CA (February 2003).
    61. Lee*, J.W. Kim*, S. Shin*, and B.R. Cho, “Development of Robust Bayes Estimators with a Normal Conjugate in the Presence of Noise Variables,” the 31st International Conference of Computers and Industrial Engineering, San Francisco, CA (February 2003).
    62. J.W. Kim*, C. Lee*, and B.R. Cho, “Evaluating Ballistic Errors by a Rayleigh-Based Circular Probable Error and its Extensions to a Military Point Target Problem,” the 31st International Conference of Computers and Industrial Engineering, San Francisco, CA (February 2003).
    63. S. Shin*, J.W. Kim*, and B.R. Cho, “Development of the Robust Stochastic Programming Model for Naval Battleship Repair,” the 31st International Conference of Computers and Industrial Engineering, San Francisco, CA (February 2003).
    64. B.R. Cho, S. Kaewkuekool*, S.R. Bowling*, and M.T. Khasawneh*, “The Optimum Target Value for a Process Based on a Quadratic Loss Function,” the Industrial Engineering Research Conference, Portland, OR (May 2003).
    65. M.T. Khasawneh*, S.R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “The Determination of Optimum Process Mean in a Single-Stage Production System: A Markovian Approach,” Industrial Engineering Research Conference, Portland, OR (May 2003).
    66. M.T. Khasawneh*, S.R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “A Cost-Effective Strength-Stress Reliability Modeling and Optimization in Engineering Design,” Industrial Engineering Research Conference, Orlando, FL (May 2002).  
    67. J.W. Kim*, C. Lee*, and B.R. Cho, “Using a Rayleigh-Based Circular Lethality Coverage for Naval Surface Fire Support,” Industrial Engineering Research Conference, Orlando, FL (May 2002).  
    68. M. Govindaluri* and B.R. Cho, “Designing Cost-Effective Screening Limits: An Empirical Approach,” Industrial Engineering Research Conference, Orlando, FL (May 2002).  
    69. M. Govindaluri* and B.R. Cho, “A Probabilistic Dynamic Programming Approach to Determining Process Targets for Components and Subassemblies,” Industrial Engineering Research Conference, Orlando, FL (May 2002).  
    70. S. Shin* and B.R. Cho, “Trade-off Studies on Process Parameters: A Robust Design Perspective,” Industrial Engineering Research Conference, Orlando, FL (May 2002).  
    71. J.W. Kim* and B.R. Cho, “A Compromise Decision Framework for Military Target Engagement,” Industrial Engineering Research Conference, Orlando, FL (May 2002).   
    72. J. Doh* and B.R. Cho, “A Weapon Defense Model for the Optimum Target Boundaries to Minimize Damage Rate and Costs,” Industrial Engineering Research Conference, Dallas, TX (May 2001).
    73. M.S. Govindaluri* and B.R. Cho, “Development of the Optimum Process Target for a Positively Skewed Process,” Industrial Engineering Research Conference, Dallas, TX (May 2001).
    74. M.S. Govindaluri* and B.R. Cho, “A Flexible Multivariate Quality Loss Function Using Desirability Function,” Industrial Engineering Research Conference, Dallas, TX (May 2001).
    75. J. Kim*, J. Doh*, and B.R. Cho, “A Current Status of Weapon Allocation System with the Emphasis on the Target Assignment Problem,” Industrial Engineering Research Conference, Dallas, TX (May 2001).
    76. S. Shin* and B.R. Cho, “The Role of Stochastic Programming in Production Analysis and Optimization with Random Processing Times,” Industrial Engineering Research Conference, Dallas, TX (May 2001).
    77. Y.J. Kim* and B.R. Cho, “An Integrated Approach to Off-Line Quality Control,” INFORMS Annual Conference, Miami, FL (November 2001).
    78. Sopadang A*, J. Teeravaraprug*, and B.R. Cho, “Overview of Robust Design within the Framework of Product Family,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    79. Sopadang A*, J. Teeravaraprug*, and B.R. Cho, “Overview of Robust Design Within  the Framework of Product Family,” Proceedings of the Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    80. Sopadang*, Y.J. Kim*, and B.R. Cho, “A Method for Assessing Weights of Multiple Quality Attributes,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    81. J. Teeravaraprug*, Y.J. Kim*, and B.R. Cho, “Deterministic Tolerance Synthesis of Multiple Product Performances,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    82. J. Teeravaraprug*, A. Sopadang*, and B.R. Cho, “Effects of Shifting Product Specifications on Process Target,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    83. Y.J. Kim*, A. Sopadang*, J. Teeravaraprug*, and B.R. Cho, “Experimental Design Approach to Tolerance Synthesis Using Mixture Experiments,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    84. Y.J. Kim*, J. Doh*, and B.R. Cho, “A Mixed Integer Programming Approach to Integrated Design Optimization,” Industrial Engineering Research Conference, Cleveland, OH (May 2000).
    85. Y.J. Kim* and B.R. Cho, “A Nonlinear Goal Programming Approach to Economic Robust Design,” International Conference on Industrial Engineering- Applications and Practice, San Antonio, TX (November 1999).
    86. J. Teeravaraprug*, Y.J. Kim*, and B.R. Cho, “Application of Fuzzy Set Theory for Designing Product Specification Limits,” Industrial Engineering Research Conference, Phoenix, AZ (May 1999).
    87. Y.J. Kim*, J. Teeravaraprug*, and B.R. Cho, “A Compromising Decision-Making for Multiple Response Co-optimization Problems within the Environment of Robust Design,” Industrial Engineering Research Conference, Phoenix, AZ (May 1999).
    88. B.R. Cho, J. Teeravaraprug*, Y.J. Kim*, and M.D. Phillips*, “Mathematical Consideration for Quality Loss Functions in Process Optimization,” Industrial Engineering Research Conference, Phoenix, AZ (May 1999).
    89. Y.J. Kim* and B.R. Cho, “Trade-off Issues in Robust Design,” Industrial Engineering Research Conference, Phoenix, AZ (May 1999).
    90. Y.J. Kim* and B.R. Cho, “Trade-off Issues in Multiresponse Experiments with the Consideration of Derringer-Suich’s Desirability Function,” INFORMS Annual Conference, Philadelphia, PA (November 1999).
    91. S. Soundararajan* and B.R. Cho, “Combining Robust Design and Tolerance Design: RSM Approach,” Industrial Engineering Research Conference, Banff, Canada (May 1998).
    92. B.R. Cho, D.L. Kimbler, S. Soundararajan*, and M.D. Phillips*, “Determination of the Optimum Product Tolerance for a Positively-Skewed Production Process,” Industrial Engineering Research Conference, Banff, Canada (May 1998).
    93. M.D. Phillips* and B.R. Cho, “A Response Surface Methodology Approach to Parameter Design,” the 6th Annual U.S. Army Research Laboratory / United States Military Academic Conference, Adelphi, MD (November 1998).
    94. M.D. Phillips*, K.S. Madduri*, and B.R. Cho, “Modeling of Quality Loss Function Using a Fourier Analysis Approach,” Industrial Engineering Research Conference, Miami Beach, FL (May 1997).
    95. K.S. Madduri*, M.D. Phillips*, and B.R. Cho, “Development of the Optimum Process Target for a Production Process under Different Environments,” Industrial Engineering Research Conference, Miami Beach, FL (May 1997).
    96. M.D. Phillips* and B.R. Cho, “Enhanced Optimization Strategies for Robust Design,” International Conference of Reliability and Quality in Design, Anaheim, CA (March 1997).
    97. M.D. Phillips*, P. Karody*, M.S. Leonard, and B.R. Cho, “Embedding the Canonical Analysis within the Framework of Taguchi Method: An Integrated Approach,” International Conference of Reliability and Quality in Design, Anaheim, CA (March 1997).
    98. K.S. Madduri*, M.D. Phillips, and B.R. Cho, “An Empirical Loss Function Framework for Economic Design of Product Specifications,” Industrial Engineering Research Conference, Miami Beach, FL (May 1997).
    99. M.D. Phillips* and B.R. Cho, “Nonlinear Programming Approach to Robust Design Problems,” International Conference on Industrial Engineering, Houston, TX (December 1996).
    100. B.R. Cho, M.D. Phillips*, and K.C. Kapur, “Quality Improvement by RSM Modeling for Robust Design,” Industrial Engineering Research Conference, Minneapolis, MN (May 1996).


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