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Greetings, COE Faculty. Here is the faculty website template that will be integrated into the newly redesigned UTSA College of Engineering website – launching fall 2017! You will have your own, personal login and login information, and be able to edit and access your web page from any computer with internet access. No special programs or software required – just an internet connection!

We realize that you might have your own web page somewhere else right now, but by standardizing faculty web pages with WordPress, we will be bringing visual consistency and updated-look to each and every web page. That being said, there is a whole lot of flexibility and room for creativity in this template! You can change the menus at the top of the page, add menu items, change colors, add video, audio and photos…the list goes on and on!

Below are a few examples of text treatments that are available to you if you are feeling creative, but you can also just cut and paste text from your existing website, or CV, or anywhere else for that matter, on to the your web page.

You will be receiving your login information in a few days, so please login and start working with the template! If you get stuck or have questions, jot them down as we will be setting up a WordPress training in the next few weeks to help answer any questions you might have as you begin transferring your site over to WordPress.

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Table Table
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Facility

Facilities

Manufacturing Systems and Automation Laboratory (MSA) is a state-of-the-art facility for teaching, research, and development in advanced manufacturing and supply chain design, modeling and management, which incorporates effective and efficient integration and synthesis of automation technologies, human resources, and decision-making models for design, planning, scheduling, and control of production of goods and delivery of services from a holistic perspective. MSA provides an excellent foundation with integrated hands-on applications for undergraduate and graduate-level courses and theses in the area of manufacturing, industrial and systems engineering at the University of Texas at San Antonio (UTSA).

The main areas of research are:

  • Modeling and optimization of supply chain and logistics problems with applications in bioenergy, sustainability, defense, manufacturing and healthcare.
  • Heuristics and metaheuristics for solving large-scale and complex engineering problems.
  • Statistical Quality Control and Reliability.

The MSA Laboratory was furnished with simulation, optimization and statistical software.

  • Simulation software: Promodel.
  • Optimization software: GAMS.
  • Statistical software: Minitab.

The following hardware was acquired: Dell Precision T7600N MT 1300W Workstation.

  • Operating System FreeDOS™ Operating System.
  • Processor Dual Eight Core XEON E5-2687W, 3.1GHz, 20M, 8.0 GT/s, Turbo+.
  • Memory 64GB, DDR3 RDIMM Memory, 1600MHz, ECC (8 x 8GB DIMMs).
  • Graphics Dual 2.5GB NVIDIA® Quadro® 5000, QUAD MON, 4DP & 2DVI.

The MSA laboratory also includes six cubicles, conference room, production, inspection, assembly, warehouse (RFID), enterprise resource planning, and shop floor control equipment and software.

Contact Information

Co-Director: Dr. Can Saygin
E-mail: can.saygin@utsa.edu

Co-Director: Dr. Krystel Castillo
E-mail:Krystel.Castillo@utsa.edu
Phone: (210) 458-8746

Research

Research Thrusts

5G Communication
Quantum Information Systems 
Internet of Things (IoT)
Software Defined Radio (SDR)

 

Research Projects
“Novel Development of Broadband RF Underwater Communication Techniques in Support of Heterogeneous Underwater Network Technology,”(PI:  Dr. Brian Kelley), Total Amount: $239,741, WiNGS Lab,
Sept 1, 2016- March 3, 2018; Office of Naval Research (ONR) N00014-16-R-BA01, Special Notice: N00014-16-R-SN02.
“Testing Evaluation and Control of Heterogeneous Large Systems of Autonomous Vehicles (TECHLAV),” PI: Mo Jamshidi, (Co-PI: Dr. Kelley) Department of Defense (DoD) AFRL, $80K, WiNGS Lab, 2015-2019:  Research thrust is Resilient Control and Communications, D2D and IoT communications systems.
“Installation of Distributed Solar Energy Resources at UTSA Campus with Sensor Network Monitoring and Control,”  PI: Dr. Brian Kelley (Co-PIs Dr. Mo Jamshidi, Dr. Harihan Krishnaswami), $1,397,837, WiNGS Lab, Department of Energy (DOE), SECO Grant No. RE-AG1-2010 (smart grid solar distributed renewable energy with wireless sensor network, smart combiners, smart inverters, data loggers, controllers, network communications, and database storage on servers);   March 2010-June 2012.  Received accommodation from SECO for research and management effort.
“Distributed Solar Energy Deployment at UTSA Downtown Campus: Building Distribution, Vehicle Electrification, and Remote monitoring Agency,” PI: Dr. Brian Kelley (Co-PIs Dr. Mo Jamshidi, Dr. Harihan Krishnaswami),$1,005,000,WiNGS Lab, Department of Energy (DOE), SECO Grant No. DE-EE0000116,  smartgrid solar distributed renewable energy with wireless sensor network, smart combiners, data loggers, controllers, network communications, and database storage on servers connected to electric vehicle charging stations at the UTSA downtown campus; Jan 2011-June 2012.
 “Preliminary Investigations of Antennas and Multicarrier Communications Devices Supporting Broadband Underwater RF Communications”,  PI:  Dr. Kelley, $15000,  WiNGS Lab,  Department of Navy, Collaborators Dr. Krishna Naishadahm, Georgia Tech Research Institute sub-award, Feb 2011-Nov 2011.

Media

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Publications

Published in peer reviewed journals

  1. Aboytes, M.; Chavez, H.; Krishnaiyer, K.; Stankus, S.; Taherkhorsandi, M.; Castillo-Villar, K.K.; and Chen, F. Improving Radio Frequency Identification Accuracy in a Warehouse Setting. In proceedings of the 2016 IIE Engineering Lean and Six Sigma Conference, San Antonio, TX, September 14-16, 2016.
  2. Castillo-Villar, K. K., Minor-Popocatl, H., & Webb, E. (2016). Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks. Energies, 9(3), 203.Abstract Available.
  3. Chavez, H.*, Castillo-Villar, K. K., Herrera, L., and Bustos, A. (2016). Simulation-based MultiObjective Model for Supply Chains with Disruptions in Transportation. Robotics and Computer-Integrated Manufacturing, In Press. Abstract Available.
  4. Quader, S.*, Castillo-Villar, K. K.(2016). Design of an Enhanced Multi-aisle Order-picking System Considering Storage Assignments and Routing Heuristics, Robotics and ComputerIntegrated Manufacturing, In Press.Abstract Available.
  5. Treviño-Garza, G., Castillo-Villar, K. K., & Cárdenas-Barrón, L. (2015). Joint Determination of the Lot Size and Number of Shipments for a Family of Integrated Vendor-buyer Systems Considering Defective Products, International Journal of Systems Science, 46(9), 1705-1716.Abstract Available.
  6. Mahmoodabadi, M.J., Taherkhorsandi, M.*, Maafi, R.A. and Castillo-Villar, K. K. (2015). A novel multi-objective optimisation algorithm: artificial bee colony in conjunction with bacterial foraging, Int. J. Intelligent Engineering Informatics, Vol. 3, No. 4, pp. 369-386.Abstract Available.
  7. Herbert-Acero, J. F., Probst, O., Rivera-Solorio, C. I., Castillo-Villar, K. K., & Méndez-Díaz, S. An Extended Assessment of Fluid Flow Models for the Prediction of Two-Dimensional Steady-State Airfoil Aerodynamics. Mathematical Problems in Engineering, Special Issue: Computational Methods for Engineering Science, (in press, accepted on January 13, 2015). Abstract Available.
  8. Kibria A.*, Castillo-Villar, K. K., & Millwater, H. (2015). Minimizing the Discrepancy between Simulated and Historical Failures in Turbine Engines: A Simulated Annealing-based Optimization Method, Mathematical Problems in Engineering, Special Issue on Mathematical Applications to Reliability and Maintenance Problems in Engineering Systems, (in press, accepted on December 30, 2014). Abstract Available.
  9. Yu, T.E., Larson, J. A., English, B. C., Boyer, C. N., Tyler, D. D., & Castillo-Villar, K. K. (2014). Influence of particle size and packaging on storage dry matter losses for switchgrass, Biomass & Bioenergy, 73, 135-144. DOI: 10.1016/j.biombioe.2014.12.009 (5-year Impact factor: 4.164). Abstract Available.
  10. Castillo-Villar, K. K. (2014). Metaheuristics Applied to Biorefinery Supply Chain Problems: Theory, Review, Challenges, and Future. Energies, 7, 7640-7672. DOI: 10.3390/en7117640 (5-year Impact factor: 2.1). Abstract Available.
  11. Herbert-Acero, J. F., Probst O., Réthoré P-E., Larsen, G. C., & Castillo-Villar K. K. (2014). A Review of Methodological Approaches for the Design and Optimization of Wind Farms. Energies, 11, 6930-7016. DOI: 10.3390/en7116930 (5-year Impact factor: 2.1). Abstract Available.
  12. Castillo-Villar, K. K., & Herbert-Acero J. F. (2014). A Metaheuristic-based Approach for the Capacitated Supply Chain Network Design Problem Including Imperfect Quality and Rework, Computational Intelligence Magazine, IEEE, 9(4), 31-45. DOI: 10.1109/MCI.2014.2350934 (2012 Impact Factor: 4.6). Abstract Available.
  13. Taherkhorsandi, M.*, Mahmoodabadi, M. J., Talebipour, M., & Castillo-Villar, K. K. (2014). Pareto Design of an Adaptive Robust Hybrid of PID and Sliding Control for a Biped Robot via Genetic Algorithm Optimization, Nonlinear Dynamics, 1-13. DOI: 10.1007/s11071-014-1661-1 (2013 Impact Factor: 2.4). Abstract Available.
  14. Herbert-Acero, J. F., Martinez-Lauranchet, J., Probst, O., Mendez-Diaz, S., & Castillo-Villar, K. K.; Valenzuela-Rendón, M. and Réthoré, P.-E. (2014). A Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid Wind Turbine Rotors, Mathematical Problems in Engineering Journal, vol. 2014, Article ID 746319, 18 pages. DOI:10.1155/2014/746319. Abstract Available.
  15. Mahmoodabadi, M. J., Taherkhorsandi, M.*, Talebipour, M., & Castillo-Villar, K. K. (2014). Adaptive Robust PID Control Subject to Supervisory Decoupled Sliding Mode Control Based upon Genetic Algorithm Optimization, Transactions of the Institute of Measurement and Control. 1-10, DOI: 10.1177/0142331214543295. Abstract Available.
  16. Castillo-Villar, K. K., Smith, N. R., & Herbert-Acero, J. F. (2014). Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures, Mathematical Problems in Engineering Journal, vol. 2014, Article ID 218913, 17 pages. DOI:10.1155/2014/218913. Abstract Available.
  17. Castillo-Villar, K. K., González, R. G., Miranda, P. A., & Smith, N. R. (2014). A Heuristic Procedure for a Ship Routing and Scheduling Problem with Variable Speed and Discretized Time Windows, Mathematical Problems in Engineering Journal, vol. 2014, Article ID 750232, 13 pages. DOI:10.1155/2014/750232. Abstract Available.
  18. Treviño-Garza, G., Castillo-Villar, K. K., & Cárdenas-Barrón, L. (2014). Joint Determination of the Lot Size and Number of Shipments for a Family of Integrated Vendor-buyer Systems Considering Defective Products, International Journal of Systems Science, (ahead of print), 1-12. DOI: 10.1080/00207721.2014.886750. Abstract Available.
  19. Castillo-Villar, K. K., & Herbert-Acero J. F. (2013). The Effect of Individual Representation on the Performance of a Genetic Algorithm applied to a Supply Chain Network Design Problem. International Journal of Supply Chain Management, 2(3), 17–24. Abstract Available.
  20. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2012). The Impact of the Cost of Quality on Serial Supply Chain Network Design. International Journal of Production Research, 50(19), 5544-5566. DOI: 10.1080/00207543.2011.649802. Abstract Available.
  21. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2012). A Model for Supply Chain Design Considering the Cost of Quality. Applied Mathematical Modelling, 36(12), 5920-5935. DOI: 10.1016/j.apm.2012.01.046. Abstract Available.
  22. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2011). Heuristic Procedure for a Combinatorial Optimization Problem in Supply Chain Design Incorporating Cost of Quality. Int. Journal of Biomedical Soft Computing and Human Sciences, 17(2), 19-26. Abstract Available.

Book

  1. Castillo-Villar, K. K. (2012). Supply Chain Network Design Including Cost of Quality: A Strategic model and metaheuristics. Germany: Lambert Academic Publishing. ISBN: 978-3-659-17723-1, pp. 212. Link to book Abstract Available

Referred Book Chapter

  1. Taherkhorsandi, M.*, Castillo-Villar, K. K., Mahmoodabadi, M. J., Janaghaei, F., & Mortazavi Yazdi, S. M. (2014). Optimal Sliding and Decoupled Sliding Mode Tracking Control by Multi-objective Particle Swarm Optimization and Genetic Algorithms. Advances and Applications in Sliding Mode Control systems, Springer-Verlag. A. Taher Azar and Q. Zhu. DOI: 10.1007/978-3-319-11173-5_2
  2. Andalib Sahnehsaraei, M., Mahmoodabadi, M. J., Taherkhorsandi, M.*, Castillo-Villar, K. K., & Mortazavi Yazdi, S. M. (2014). A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with Genetic Algorithm Optimization. Complex System Modelling and Control Through Intelligent Soft Computations, Springer-Verlag. A. Taher Azar and Q. Zhu. DOI: 10.1007/978-3-319-12883-2_2
  3. Castillo-Villar, K. K. (2014). Metaheuristics applied to Biorefinery Supply Chain Problems: a Review of Selected Methods and Applications. Chapter 6 in Soft Computing Applications for Renewable Energy and Energy Efficiency. Garcia-Cascales, Sánchez-Lozano, Masegosa, Cruz-Corona. USA: IGI Global. DOI: 10.4018/978-1-4666-6631-3.ch002
  4. Castillo-Villar, K. K., & Smith, N. R. (2013). Supply Chain Design including Quality Considerations: Modeling and Solution Approaches based on Metaheuristics. Chapter 4 in Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications. Pandian M. Vasant. USA: IGI Global, August, pp.1329. ISBN13: 9781466644502. DOI: 10.4018/978-1-4666-4450-2.

Refereed conference proceedings (refereed by paper, presenter underlined, student starred)

  1. Aboytes, M.*; Chavez, H.*; Krishnaiyer, K.; Stankus, S.*; Taherkhorsandi, M.*; Castillo-Villar, K.; and Chen, F. Improving Radio Frequency Identification Accuracy in a Warehouse Setting. In proceedings of the 2016 IIE Engineering Lean and Six Sigma Conference, San Antonio, TX, September 14-16, 2016.
  2. Castillo-Villar, K. K., Cabrera-Rios, M., Persans, M.W., De Yoe, H.R. Engaging Minority Students in Sustainable Bioenergy and Water Quality through an Education and Research Network. In proceedings of the ASEE’s 123rd Annual Conference and Exposition, New Orleans, LA, June 26-29, 2016
  4. Chávez, H.*, Stankus, S.*, Castillo-Villar, K. K., & Feng, Y. A Simulation-based Optimization Approach to Modeling a Fast-track Emergency Department. In proceedings of the 2015 Industrial and Systems Engineering Research Conference (ISERC), Nashville, Tennessee, May 30 – June 2, 2015.
  5. *Taherkhorsandi, M.*, & Castillo-Villar, K. K. Optimal Reliable Network Planning of a Radio Frequency Identification System. Abstract accepted in the 2015 Industrial and Systems Engineering Research Conference (ISERC), Nashville, Tennessee, May 30 – June 2, 2015 (Paper under preparation).
  6. Vásquez-Doria, J., Chen, F. F., Wan, H., & Castillo-Villar, K. K. Improving Order Processing Workflow through Value Stream Mapping: A Case. Abstract accepted in the 2015 Industrial and Systems Engineering Research Conference (ISERC), Nashville, Tennessee, May 30 – June 2, 2015 (Paper under preparation).
  7. Castillo-Villar, K. K., & Turek, S. Assessing Measurement Uncertainty in 3D Laser-Based Scanners through Experimental Design and Analysis. Abstract accepted in the 2015 Industrial and Systems Engineering Research Conference (ISERC), Nashville, Tennessee, May 30 – June 2, 2015 (Paper under preparation).
  8. Smith, N. R., Manzano, M.,Castillo-Villar K.K., & Rivera-Morales, L*. A Bi-objective Model for Local and Global Green Supply Chain. In proceedings of the 2014 IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA, December 12, 2014. IEEE Catalog Number: CFP14ADP-USB, ISBN: 978-1-4799-4553-5.
  9. Chavez, H.* & Castillo-Villar K.K. A Preliminary Simulated Annealing for Resilience Supply Chains. Paper on proceedings of the IEEE Symposium Series on Computational Intelligence 2014, Orlando, Florida, USA, December 12, 2014.
  10. Gonzalez-Ramirez, R.G., Miranda, P.; Voss, S., Castillo-Villar K.K. & Bearzotti, L., (2014), A Continuous Berth Allocation and Quay Crane Assignment. Paper on Proceedings of the 2014 CiLOG, International Congress of Logistics and Supply Chain, Mexico City, Mexico, November, 2014.
  11. Kibria, A*, Castillo-Villar, K.K. & Millwater, H., (2014), A Simulation-based Optimization Method for Modeling of tiurbine Enginer Sustainment. Paper on Proceedings of 2014 INFORMS Workshop on Data Mining and Analytics, San Francisco, USA, November 8, 2014.
  12. Chukukere, A.*, Castillo-Villar, K. K. & Wan, H. (2014). Improving Operations through Dynamic Value Stream Mapping and Discrete-Event Simulation. Paper on the 2014 Industrial and Systems Engineering Research Conference (ISERC), Institute of Industrial Engineers, Montreal, Canada, May 31- June 3.
  13. Hernando, G.*, Castillo-Villar, K.K. & Herrera, L. (2014). A Column Generation Approach to Schedule Constrained Routing Parcels in Megacities. Paper on the 2014 Industrial and Systems Engineering Research Conference (ISERC), Institute of Industrial Engineers, Montreal, Canada, May 31- June 3.
  14. Sadia Quader* & Castillo-Villar K.K. (2014). A Study of the Performance of Bucket Brigades when dealing with Multiple Aisles in Warehouses. Paper on the Flexible Automation and Intelligent Manufacturing (FAIM) Conference 2014, San Antonio, TX, May 20-23.
  15. Castillo-Villar, K. K. & Herbert J. F. (2014). A Preliminary Study of the Impact of the Genotype Representation on the Performance of a Genetic Algorithm Applied to a Supply Chain Network Design Problem. Paper submitted to the Flexible Automation and Intelligent Manufacturing (FAIM) Conference 2014, San Antonio, TX, May 20-23.
  16. Chavez, Hernan*, Castillo-Villar, K. K., Herrera, Luis & Bustos, A. (2014). Simulation-based Optimization Model for Supply Chains with Disruptions in Transportation. Paper submitted (on Jan 16th) to the Flexible Automation and Intelligent Manufacturing (FAIM) Conference 2014, San Antonio, TX, May 20-23.
  17. Herbert-Acero, F., Martínez-Torres, J., Probst, O. M., Méndez-Díaz, S., Valenzuela, M., Réthoré, P.E. & Castillo-Villar, K. K. (2014). Aerodynamic Optimization of Small Wind turbine Rotors Base don NACA 4-Digit Airfoils by Computational Intelligence Algorithms. The European Wind Energy Conference and Exhibition 2014. The European Wind Energy Association (EWEA), March 10-13, Barcelona, Spain.
  18. Sadia Quader*, Castillo-Villar K.K., (2013). A State-of-the-Art Matrix Analysis of Bucket Brigade. Paper presented at the Industrial and Systems Engineering Research Conference 2013, Institute of Industrial Engineers, San Juan, Puerto Rico, May 18-22, 2013.
  19. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2011). Enhancing performance through statistical analysis: a case study in the glass industry. Paper presented at the 32nd Annual National Conference of the American Society for Engineering Management, Lubbock, Texas, USA, October 19-22, 2011, CD-ROM.
  20. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2010). Cost of Quality in supply chain design: A preliminary study. Paper presented at the 31st Annual National Conference of the American Society for Engineering Management, Rogers, Arkansas, USA, October 13-16, 2010, CD-ROM.
  21. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2010). Toward Integrating Cost of Quality in Supply Chain Network Modeling. Paper presented at the Industrial Engineering Research Conference, Institute of Industrial Engineers, Cancun, Q.R., México, June 5-9, 2010.
  22. Castillo-Villar, K. K., & Simonton, J. L. (2009). Cost of Quality: Interdisciplinary Cooperation Between Accounting and Quality Function. Paper presented at the 30th Annual Conference of the American Society for Engineering Management, Springfield, MO, USA, October 14-17, 2009, CD-ROM.
  23. Castillo-Villar, K. K., Simonton, J. L., & Smith, N. R. (2009). Performance Improvement in the Glass Melting Process Through Statistical Analysis. Paper presented at the 30th Annual Conference of the American Society for Engineering Management, Springfield, MO, USA, October 14-17, 2009, CD-ROM.

Abstracts and talks in conference (refereed by abstract, presenter underlined, student starred)

  1. Stadick, J.*; Castillo-Villar, K. K.; Turek, S. Laser Measurements: Repeatability and Reproducibility. Poster presented at 2016 RX Summer Student Researcher Poster Session of the Air Force Research Laboratory Materials and Manufacturing Directorate (RX). Wright Patterson Air Force Base, OH, August 5, 2016.
  2. Chavez, H.*; Webb, E.; Castillo-Villar, K. K.; Ebadian, M.; Sokhansanj, S. Modeling Cost of Quality in a Discrete Event Biomass Supply Chain. Poster presented at IBSS (Southern Partnership for Integrated Biomass Supply Systems) Annual Meeting. Oak Ridge, TN, July 27, 2016.
  3. Chavez, H.*; Webb, E.; Castillo-Villar, K. K.; Ebadian, M.; Sokhansanj, S. Modeling Cost of Quality in a Discrete Event Biomass Supply Chain, Poster presented at ORISE (Oak Ridge Institute for Science and Education) Summer Graduate, Post Graduate, Employee Participant, and Faculty Poster Session. Oak Ridge, TN, August 9, 2016.
  4. Castillo-Villar, K. K., Gatsis, N., TaherKhorsandi, M.*, Bazrafshan, M. A Robust Optimization Model for Biofuel Supply Chain Planning Incorporating Biomass Quality Uncertainties. Abstract and presentation in INFORMS 2016 International Conference, Waikoloa, Hawaii, USA, June 12-15, 2016.
  5. Tapia-Carrillo, A.*, Castillo-Villar, K.K., Holt, G., Pelletier, M. Study of Mycelium based Acoustic Absorbers Grown with Agricultural By-product Substrates. Poster presented at 21st Undergraduate Research and Creative Inquiry Showcase. San Antonio, TX, April 21, 2016.
  6. Stankus, S.*, Castillo-Villar, K. K., Feng, Y., Adams, B., Marriot, K., Govea Ramos, R. A Simulation-based Optimization Approach for Learning to Reduce Patient Risk and Higher Memory Load Scenarios. Poster presented at 2015 AMSUS Annual Continuing
  7. Stankus, S.*, Castillo-Villar, K. K., Repeatability and Reproducibility of 3D Laser Measurements. Abstract and presentation in Defense Manufacturing Conference 2015, Phoenix, AZ, USA, November 30-December 3, 2015.
  8. Castillo-Villar, K. K., Eksioglu, S.D., Taherkhorsandi, M.* An Integrated Biofuel Supply Chain Design Stochastic Model Including Biomass Quality Variability. Abstract and presentation in 2015 INFORMS Annual Meeting, Philadelphia, PA, USA, November 1-4, 2015.
  9. Wan, H., Saygin, C., Alaeddini, A., & Castillo-Villar, K. K., The Lean Perspectives of Maintenance in High-speed Printing Industry. Abstract accepted in the 2015 Industrial and Systems Engineering Research Conference (ISERC), Nashville, Tennessee, May 30 – June 2, 2015.
  10. Shipley, H., Castillo-Villar, K. K., Giacomoni M., Chen, F. “An Interdisciplinary Approach to Embedding a Renewable Energy, Water and Sustainability Concentration in Engineering Curriculum”, Association of Environmental Engineering & Science Professors (AEESP) National Conference, June 2015, New Haven, CT.
  11. Castillo-Villar, K. K.and Shipley, H. Embedding a Renewable Energy and Sustainability Concentration in Engineering: An intersidciplinary Approach. Abstract and presentation in 2015 American Society for Engin
  12. Castillo-Villar, K. K. (2014). Metaheuristics applied to Biorefinery Supply Chain Problems. Talk presented at INFORMS 2014, San Francisco, California, USA, Nov 12, 2014.
  13. Castillo-Villar, K. K. & Webb, E. (2014). Bioenergy Supply Chain Network Design Model to Enhance Biomass Quality Characteristics. Talk presented at INFORMS 2014, San Francisco, California, USA, Nov 11, 2014.
  14. Castillo-Villar, K. K. & Herbert-Acero, J.F. (2013). Improved Methodology for the Construction of Large-Scale Wind Turbine Power Curves. Talk presented at INFORMS 2013, Minneapolis, Minnesota, October 9, 2013.
  15. Millwater, H., Castillo-Villar, K. K., Kibria, A.*, Iglesias, E.*, (2013). System Reliability Optimization by using Monte Carlo Simulation and a Metaheuristic Algorithm. Talk presented at INFORMS 2013, Minneapolis, Minnesota, October 6, 2013.
  16. Castillo-Villar, K. K. & Herbert, J.F.(2013). Preliminary Study of the Impact of Individual Representation of a Genetic Algorithm in a Logistics Problem. Talk presented at the 4th International Conference on Computational Logistics, Copenhagen, Denmark, September 25-27, 2013.
  17. Castillo-Villar, K. K. & Smith, N. R. (2013). The Impact of the Cost of Quality on Serial Supply Chain Network Design. Talk presented at and abstract in the 43 Congreso de Investigación y Desarrollo, Monterrey, N.L., México, January 30-31 and February 1, 2013.
  18. Castillo-Villar, K. K. & Smith, N. R. (2012). Capacitated model for supply chain network design including the cost of quality. Talk presented at and abstract in the First National Congress of the Mexican Society of Operations Research (SMIO), Zapopan, Jalisco, México, October 24-26, 2012.
  19. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2012). Heuristic Procedure for a Combinatorial Optimization Problem in Supply Chain Design Incorporating Cost of Quality. Talk presented at and abstract in the 42 Congreso de Investigación y Desarrollo, Monterrey, N.L., México, January 18-20, 2012.
  20. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2011). Toward Integrating Cost of Quality in Supply Chain Network Modeling. Talk presented at and abstract in the 41 Congreso de Investigación y Desarrollo, Monterrey, N.L., México, January 19-21, 2011.
  21. Castillo-Villar, K. K., Smith, N. R., & Simonton, J. L. (2010). Toward integrating the Cost of Quality in supply chain network modeling: A preliminary study. Talk presented at and abstract in the II Encuentro Iberoamericano de Investigación Operativa y Ciencias Administrativas, Monterrey, N.L., México, July 21-23, 2010.

Invited talks (presenter underlined, student starred)

  1. Castillo-Villar, K. K.., Stankus, S.* and Stadick, J.* Big Data Analytics: Quantification of Dimensional Measurement Uncertainty using 3D Laser Scanners for the Assessment of Manufacturing Variability, Minority Leaders – Research Collaboration Program Review, University of Dayton, Dayton, OH, September 21, 2016.
  2. Castillo-Villar, K. K. Integrated Computational Tool for the Production of Second-generation Biofuel, Bioenergy Technologies Office of the Energy Department’s Office of Energy Efficiency and Renewable Energy, Washington, D.C., March 24, 2016.
  3. Castillo-Villar, K. K. Modeling and Optimization of Second-generation Biofuel Production Systems, U.S. Department of Agriculture – National Institute of Food and Agriculture, Washington, D.C., March 23, 2016.
  4. Castillo-Villar, K. K. Integrating Biomass Quality Variability in Stochastic and Robust Supply Chain Modeling for Second-generation Biofuel Production, Idaho National Laboratory, Idaho Falls, Idaho, March 3, 2016.
  5. Castillo-Villar, K. K. Unified Computational and Theoretical Scheme for Linking Quality Control and Stochastic Modeling in Bioenergy Supply Chain Network Design, Auburn University, Auburn, Alabama, October 26, 2015.
  6. Castillo-Villar, K. K., Stankus Sue*. Assessing Measurement Uncertainty in 3D Laser-Based Scanners through Experimental Design and Simulation. Technical briefing presented at Air Force Research Laboratory, Wrigth Patterson Air Force Base, August 11, 2015.
  7. Castillo-Villar, K. K. International Supply Chains: Modeling and Optimization Techniques. Seminar presented at Institute for Supply Management, San Antonio, TX, 2014
  8. Castillo-Villar, K. K. Supply Chain Optimization, Design and Management. Seminar presented at Monterrey Institute of Technology and Higher Education, Campus Santa Fe, Mexico City, Mexico, November 7, 2013.
  9. Castillo-Villar, K. K. Supply Chain Modeling for Enterprise Analysis and Simulation Methods for Alternative Transportation Initiatives. Seminar presented at Oak Ridge National Laboratory, National Transportation Center, Knoxville, Tennessee, September 12, 2013.
  10. Castillo-Villar, K. K. Supply Chain Modeling and Optimization including Quality-related Characteristics. Seminar presented at Oak Ridge National Laboratory, Bioenergy Resource & Engineering Systems Group, Oak Ridge, Tennessee, September 11, 2013.
  11. Millwater, H., Castillo-Villar, K. K., Kibria, A.*, Iglesias, E.*. Probabilistic Modelling of Turbine Engine Sustainment. Presentation in the Minority Leaders Program, Air Force Research Laboratory, Materials & Manufacturing Directorate Air Force Research Laboratory, September 23, 2013.
  12. Castillo-Villar, K. K. Supply Chain Network Design Including Quality-related Issues: Models and Solution Procedures. Presentation in the Operations Research and Industrial Engineering Graduate Seminar, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, February 15, 2013.
  13. Castillo-Villar, K. K. Enhancing Performance through Statistical Techniques: A Case Study in the Glass Container Industry. Presentation in the Management Science and Statistics Seminar, College of Business, The University of Texas at San Antonio, San Antonio, TX, November 2, 2012.
  14. Castillo-Villar, K. K. Enhancing Performance through Statistical Techniques: A Case Study in the Glass Container Industry. Presentation in the Continuous Improvement Meeting, The University of Texas at San Antonio, San Antonio, TX, October 5, 2012.
  15. Castillo-Villar, K. K. The impact of the Cost of Quality on supply chain design. Presentation in the Engineering Management and Systems Engineering Graduate Seminar, Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, March 12, 2012.
  16. Castillo-Villar, K. K. & Smith, N. R. Supply Chain Design including the Cost of Quality. Presentation in the Graduate Program in Economics Research Seminar, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico, October 25, 2011.
  17. Castillo-Villar, K. K. A strategic model for serial supply chain design integrating the Cost of Quality. Presentation in the Supply Chain Research Group Seminar, Quality and Manufacturing Center, Monterrey Institute of Technology and Higher Education, Mexico, October 11, 2011.
  18. Castillo-Villar, K. K. Response Surface Analysis applied to a glass making process. Presentation in the Applied Statistics Seminar from the MS in Applied Statistics, Monterrey Institute of Technology and Higher Education, Mexico, October, 2008.

Technical Reports

  1. Castillo-Villar, K. K., Millwater, H., Iglesias, E.*, & Kibria, A.* (2014). Probabilistic Modeling of Turbine Engine Sustainment, San Antonio, TX: The University of Texas at San Antonio, Technical Report, December 2014, 85 pages.
  2. Castillo-Villar, K. K., & Chávez, H*. (2014). Reliability Project in Toyota Manufacturing from Reactive to Proactive Maintanence, San Antonio, TX: The University of Texas at San Antonio, Technical Report, June 2014, 68 and 21 pages.
  3. Castillo-Villar, K. K. Quader, S. “A Model to Simulate the Mobility and Charging Behavior of Elecric Vehicles and Quantify the Energy Required from the Grid”. Electrification of Transportation in the Alamo Region. January 2014. UTSA – Texas Sustainable Energy Research Institute. Funded in part by CPS Energy.
  4. Saygin, C., Castillo-Villar, K. K., Wan, H., Alaeddini, A., & Chen, F. F. (2013). Predictive Maintenance – Phase 1: A Roadmap for Intelligent Maintenance, San Antonio, TX: The University of Texas at San Antonio, Technical Report, November 2013, 25 pages.