Dr. Enrique del Castillo

Distinguished Professor of Industrial & Manufacturing Engineering

and Professor of Statistics
357 Leonhard Building 
University Park, PA 16802 
Phone: 814-863-6408; Fax: 814-863-4745 
exd13[AT]psu[DOT]edu

 For all submissions and inquiries to the Journal of Quality Technology (JQT) contact Valerie Funk, manuscript coordinator, ASQ, at 414-272-8575 ext 7373 or via e-mail at manuscripts@asq.org. For the JQT web site click here.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Education

·                     Ph.D., Industrial Engineering (Applied Statistics Concentration), Arizona State University, 1992.

·                     M.S., Operations Research and Industrial Engineering, Cornell University, 1988

·                     B.S., Industrial and Mechanical Engineering, Universidad Panamericana (Mexico City), 1986.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Statement of Interest

Dr. Castillo’s main interests are in the area of Engineering Statistics, with emphasis in:

·                     Statistical and Time Series Process Control;

·                     Experimental Optimization and Response Surface methods;

·                     Design of Experiments;

·                     Applied Bayesian Statistics.

These are areas in which he has published over 80 refereed journal papers and two textbooks. In the last ten years, Dr. Castillo's research has focused on the analysis and design of process adjustment methods for use in manufacturing, the development of statistical techniques for the rapid experimental optimization of initially unknown, multiple input, multiple response systems, and statistical inference in response surface optimization. Recent work includes development of  Bayesian techniques for these problems. He is a recipient of a National Science Foundation Career Award (1996-2001), current editor-in-chief of the Journal of Quality Technology, an Associate Editor of the Technometrics journal, and a past Associate Editor of IIE Transactions.

Dr. Castillo's research has been funded mainly by the National Science Foundation (NSF). Additional research funding has been provided by the General Motors R&D Corporate Center, Intel Corporation and by NATO. This funded research has totaled over 1 million dollars as PI. At PSU's IME department, Dr. Castillo is director of the Engineering Statistics Laboratory.  He has a joint appointment with Penn State's Department of Statistics.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Some Selected Recent Publications

·                     Colosimo, B.M., and Del Castillo, E. (eds.), Bayesian Process Monitoring, Control and Optimization, CRC/Taylor and Francis, (Nov. 2006, forthcoming). Link to publisher’s web site.

·                     Del Castillo, E. “Statistical Process Adjustment: a brief retrospective, current status and future research” Statistica Neerlandica , 60(3), pp. 309-326, (2006).

·                     Lian, Z., Colosimo, B.M., and Del Castillo, E.,  ``Setup Adjustment of Multiple Lots Using a Sequential Monte Carlo Method", Technometrics, 48(3), pp. 373-385, (2006).

·                     Lian, Z., and Del Castillo, E. “Adaptive Deadband control of a Drifting Process With Unknown Parameters”, accepted in Statistics & Probability Letters, (2006).

·                     Lian, Z., and Del Castillo, E., “Setup Adjustment under Unknown Process Parameters and Fixed Adjustment Cost”, Journal of Statistical Planning and Inference, 136, pp. 1039-1060, (2006).

·                     Rajagopal, R., and Del Castillo, E., “A Bayesian Method for robust Tolerance Control and Parameter Design”, IIE Transactions, 38(8), pp. 685-697, (2006).

·                     Ragajopal, R., and Del Castillo, E., ``Model-Robust Process Optimization using Bayesian Model Averaging", Technometrics, 47,2,pp. 152-163, (2005).

·                     Peterson, J.J., Cahya, S., and Del Castillo, E., "A comment on "Confidence Regions Around the Ridge of Optimal Response on Fitted Second Order Responses", Technometrics 46 (3), pp. 355-357, (2004).

·                     Miro, G., Del Castillo, E., and Peterson, J., ``A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables",  Journal of Applied Statistics, 31 (3), pp. 251-270, (2004).

·                     Miro-Quesada, G., and Del Castillo, E. ``A Dual Response Approach to the Multivariate Robust Parameter Design Problem", Technometrics, 46(2), pp. 176-187, (2004).

·                     Miro-Quesada,G., and Del Castillo, E., ``Two Approaches for Improving the Dual Response Method in Robust parameter Design", Journal of Quality Technology, 36(2), pp. 154-168 (2004).

·                     Peterson, J.J., Cahya, S., and Del Castillo, E., "A General Approach to Confidence Regions for Optimal Factor Levels of Response Surfaces,"  Biometrics, 58, pp. 422-431, (2002).

·                     Del Castillo, E., "Closed-loop Disturbance Identification and Controller Tuning for Discrete Manufacturing Processes," Technometrics, 44, 2, pp. 134-141, (2002).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Books by EDC:         

·                     Del Castillo, E., Process Optimization, a Statistical Approach. Springer, August 2007.

                      Matlab programs accompanying the book (zipped): download here                                                                                              

                                                  

·                     Del Castillo, E., Statistical Process Adjustment for Quality Control, John Wiley & Sons (Probability and Statistics Series), 2002. ISBN 0-471-43574-0. Publisher listing & reviews  

                      Files accompanying the book (zipped): download here.

                      Solutions manual (password-protected): download here.

                      Errata in first printing: download here. (updated February 2004)

 

 

·                     Colosimo, B. and Del Castillo, E. (eds.). Bayesian Process Monitoring, Control and Optimization. CRC/Taylor & Francis, November 2006. Publisher listing.

                                                                                                                                                                                                                   

·                     Moyne, J., Del Castillo, E., and Hurwitz, A. (eds.) Run to Run Control in Semiconductor Manufacturing. CRC Press, 2001. Publisher listing.

                                                                                                                                                                                                                     

 

 

 

 

 

 

 

 

 

 

 

 

 

Courses

·                     IE 423 (Quality Control—no longer offered)

·                     IE 433 Fall 2007 (Regression and Design of Experiments).

·                     IE 511 Fall 2007 (Design of Experiments)

·                     IE 584 Spring 2007 (Time Series Control & Process Adjustment)

·                     IE 583 Spring 2008 (Response Surface Methods & Process Optimization)

·                     IE 532  (Reliability Engineering)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Awards and honors

·                     Distinguished Professor of Industrial Engineering, Dec. 2007—present.

·                     Fulbright Scholar, The Netherlands (2005).

·                     National Science Foundation Early CAREER Faculty Development Award, 1996-2001.

·                     IIE Transactions Best Paper of the Year Award (2000).

·                     National Council of Science of Technology of Mexico Scholarship (1989-1992)

·                     Bank of Mexico Scholarship (1988)

·                     Graduate tuition and academic scholarships, Arizona State University(1990-92)

·                     Listed, who's who on Science and Engineering, 1998-to date.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Resume

·                     html format (updated 2/2008)

·                     pdf document (updated 2/2008)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Current Funded Projects

·         “Modeling Customer Transfer Functions”, General Motors R&D, Jan. 2008—Dec. 2008.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Old Programs (research) (For newer research-related software, go to the Engineering Statistics Laboratory web page.)

 

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This page last modified 1-27-2006