Home

(Download full resume can saygin – cv – 1-3-2017)

Dr. Can (John) Saygin is a Professor of mechanical engineering, Associate Vice President for Sponsored Project Administration in the Office of Research, and Director of the Center for Advanced Manufacturing and Lean Systems (CAMLS) at the University of Texas at San Antonio (UTSA). He is the also the Federal Relations Point of Contact for the Alamo Manufacturing Partnership (AMP), which is an 8-county region (San Antonio-New Braunfels metro area) designated as an IMCP (Investing in Manufacturing Communities Partnership) by the US Department of Commerce.

He received his BS (’89), MS (’92), and PhD (’97) degrees in Mechanical Engineering with emphasis on manufacturing engineering from the Middle East Technical University, Ankara in Turkey. In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri-Rolla) (1999-2006) before joining UTSA in August 2006. Before becoming the AVP for research in 2013, he served as director of the Interactive Technology Experience Center (iTEC), director of the College of Engineering Machine Shop, and graduate program director for MS in Mechanical Engineering, MS in Advanced Manufacturing and Enterprise Engineering, and PhD in Mechanical Engineering.  In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri-Rolla) (1999-2006) before joining UTSA in August 2006.

He has directed several projects funded by Air Force Research Lab, National Science Foundation, US Dept of State, the Boeing Company, Ford Motor Company, Briggs and Stratton, Festo, Missouri Enterprise, Metro (Bi-State Development Agency) of St. Louis, SAP America, SMC, Intelitek, and the Chism Company. During 1996-2000, he has played a major role in the design, development, and implementation of several pilot flexible manufacturing systems at the Middle East Technical University in Turkey, University of Miskolc in Hungary, University of Toledo in Ohio, and University of Missouri in Rolla. During these implementations, he has coordinated the development of various manufacturing system control architectures and software modules.  Since 2000, he has been working in the area of automatic identification (Auto-ID) technologies, digital manufacturing, and their implementation to realize digital factory.  As a research investigator of CAMLS at UTSA, he has worked with local manufacturing industry in San Antonio on various research and development projects since 2006.

Dr. Saygin’s research interests include lean systems, productivity and process flow improvement, digital factory, network-centric manufacturing systems, RFID implementations, modeling and analysis of automated manufacturing systems, flexible manufacturing systems, and integration of process planning with scheduling/control. He is the recipient of the College of Engineering 2009 Excellence in Teaching Award, the UTSA President’s 2011 Distinguished Achievement Award for Teaching Excellence, and the University of Texas System Regents’ Outstanding Teaching Award in 2012.  He is a member of the Society of Manufacturing Engineers (SME), Institute of Industrial Engineers (IIE), American Society of Mechanical Engineers (ASME), and American Society for Engineering Education (ASEE).

Facility

MANUFACTURING SYSTEMS AND AUTOMAITON (MSA) LAB
Operational intelligence through effective integration of people, equipment, and information technology…

Co-Director: Dr. Can Saygin  |  can.saygin@utsa.edu  |   210-458-5194

Co-Director: Dr. Krystel Castillo  |  krystel.castillo@utsa.edu  |   210-458-8746


Overview: Manufacturing Systems and Automation Laboratory (MSA) is a state-of-the-art facility for teaching, research, and development in advanced manufacturing, 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. MSA provides an excellent foundation with integrated hands-on applications for undergraduate and graduate-level courses and theses in the area of manufacturing in at the University of Texas at San Antonio (UTSA).

Test-Bed: The facility also provides industry with a low-cost, integrative test-bed environment in area of automated identification (AutoID/RFID) systems.  The facility allows for further integration of other manufacturing functions, such as computer aided design and manufacturing, quality assurance and statistical process control, process planning and scheduling, shop floor control, and supply chain management.

 

Please visit Center for Advanced Manufacturing and Lean Systems (CAMLS) for more info.


Research

 AREAS OF EXPERTISE

Advanced Manufacturing & Automation

Production Planning, Scheduling, and Shop Floor Control
Automatic Identification (Auto ID) Technologies
Cyber Security Application in Manufacturing

Systems Engineering

Enterprise Modeling and Supply Chain Management
Business Process Engineering
Value Stream Mapping
Lean Six Sigma Applications

(Download full resume can saygin – cv – 1-3-2017)

Dr. Can (John) Saygin is a Professor of mechanical engineering, Associate Vice President for Sponsored Project Administration in the Office of Research, and Director of the Center for Advanced Manufacturing and Lean Systems (CAMLS) at the University of Texas at San Antonio (UTSA). He is the also the Federal Relations Point of Contact for the Alamo Manufacturing Partnership (AMP), which is an 8-county region (San Antonio-New Braunfels metro area) designated as an IMCP (Investing in Manufacturing Communities Partnership) by the US Department of Commerce.

He received his BS (’89), MS (’92), and PhD (’97) degrees in Mechanical Engineering with emphasis on manufacturing engineering from the Middle East Technical University, Ankara in Turkey. In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri-Rolla) (1999-2006) before joining UTSA in August 2006. Before becoming the AVP for research in 2013, he served as director of the Interactive Technology Experience Center (iTEC), director of the College of Engineering Machine Shop, and graduate program director for MS in Mechanical Engineering, MS in Advanced Manufacturing and Enterprise Engineering, and PhD in Mechanical Engineering.  In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri-Rolla) (1999-2006) before joining UTSA in August 2006.

He has directed several projects funded by Air Force Research Lab, National Science Foundation, US Dept of State, the Boeing Company, Ford Motor Company, Briggs and Stratton, Festo, Missouri Enterprise, Metro (Bi-State Development Agency) of St. Louis, SAP America, SMC, Intelitek, and the Chism Company. During 1996-2000, he has played a major role in the design, development, and implementation of several pilot flexible manufacturing systems at the Middle East Technical University in Turkey, University of Miskolc in Hungary, University of Toledo in Ohio, and University of Missouri in Rolla. During these implementations, he has coordinated the development of various manufacturing system control architectures and software modules.  Since 2000, he has been working in the area of automatic identification (Auto-ID) technologies, digital manufacturing, and their implementation to realize digital factory.  As a research investigator of CAMLS at UTSA, he has worked with local manufacturing industry in San Antonio on various research and development projects since 2006.

Dr. Saygin’s research interests include lean systems, productivity and process flow improvement, digital factory, network-centric manufacturing systems, RFID implementations, modeling and analysis of automated manufacturing systems, flexible manufacturing systems, and integration of process planning with scheduling/control. He is the recipient of the College of Engineering 2009 Excellence in Teaching Award, the UTSA President’s 2011 Distinguished Achievement Award for Teaching Excellence, and the University of Texas System Regents’ Outstanding Teaching Award in 2012.  He is a member of the Society of Manufacturing Engineers (SME), Institute of Industrial Engineers (IIE), American Society of Mechanical Engineers (ASME), and American Society for Engineering Education (ASEE).

Publications

Journal Publications (2007-2017):

  1. SCHMIDT, S., GOROS, M., PARSONS, H.M., SAYGIN, C., WAN, H., SHIREMAN, P.K., and GELFOND, J., “Improving Initiation and Tracking of Research Projects at an Academic Health Center: A Case Study”, Evaluation & the Health Professions, September 2016, DOI: 10.1177/0163278716669793.
  2. WANG, N., SUN, S., CAI, Z., ZHANG, S., and SAYGIN, C., “A Hidden Semi-Markov Model with Duration-Dependent State Transition Probabilities for Prognostics”, Mathematical Problems in Engineering, Vol.2014, Article ID 632702, 10 pages, Special Issue “High-Performance Computing Strategies for Complex Engineering Optimization Problems”, Guest Editors: Gongnan Xie, Massimo Scalia, Masoud Rokni, Balaji Raghavan, and Manyu Xiao, 2014.
  3. AKOPIAN, D., MELKONYAN, A., GOLGANI, S.C., YUEN, T.T., and SAYGIN, C., “A Template-Based Short Course Concept on Android Application Development”, Journal of Information Technology Education: Innovations in Practice, Vol.12, pp.13-28, 2013
  4. WANG, N., SAYGIN, C., and SUN, S., “Impact of Mahalanobis Space Construction on Effectiveness of Mahalanobis-Taguchi System”, International Journal of Industrial and Systems Engineering, Vol.13, No.2, pp.233-249, 2013.
  5. SAYGIN, C. and GULERYUZ, B., “Impact of Radio Frequency Identification on Life Cycle Engineering”, Chapter 33 in Lecture Notes in Electrical Engineering and Intelligent Systems (Editors: Sio-long Ao and Len Gelman)”, Vol.130, pp.403-413, 2013.
  6. YUEN, T.T., SAYGIN, C., SHIPLEY, H., WAN, H., and AKOPIAN, D., “Factors that Influence Students to Major in Engineering”, International Journal of Engineering Education, Vol.28, No.4, pp. 932–938, 2012.
  7. HONGAN, Y., SUN, Q., SAYGIN, C., and SUN, S., “Job Shop Scheduling Based on Earliness and Tardiness Penalties with Due Dates and Deadlines: An Enhanced Genetic Algorithm”, International Journal of Advanced Manufacturing Technology, Vol.61, No.5-8, pp.657-666, 2012.
  8. HALL, D. and SAYGIN, C., “Impact of Information Sharing on Supply Chain Performance”, International Journal of Adv Mfg Technology, Vol.58, No.1, pp.397-409, 2012.
  9. SAYGIN, C. and TAMMA, S., “RFID-enabled Shared Resource Management for Aerospace Maintenance Operations: A Dynamic Resource Allocation Model”, International Journal of Computer Integrated Manufacturing, Vol.25, No.1, pp.100-111, 2012.
  10. SOYLEMEZOGLU, A., SARANGAPANI, J., and SAYGIN, C., “Mahalanobis Taguchi System (MTS) as a Multi Sensor Based Decision Making Prognostics Tool for Centrifugal Pump Failures”, IEEE Transactions on Reliability, Vol.60, No.4, pp.864-878, December 2011.
  11. SAYGIN, C. and SARANGAPANI, J., “Radio Frequency Identification (RFID) Enabling Lean Manufacturing”, International Journal of Manufacturing Research, Vol.6, No.4, 2011.
  12. SOYLEMEZOGLU, A., SARANGAPANI, J., and SAYGIN, C., “Mahalanobis Taguchi System (MTS) as a Prognostics Tool for Rolling Element Bearing Failures”, ASME Transactions – Journal of Manufacturing Science and Engineering, Vol.132, No.5, DOI:10.1115/1.4002545, pp.051014-1/12, October 2010.
  13. SAYGIN, C. and NATARAJAN, B., “RFID-based Baggage Handling System Design”, Sensor Review Journal, Vol.30, No.4, pp. 324-335, 2010.
  14. SAYGIN, C., MOHAN, D., SARANGAPANI, J., “Real-Time Detection of Grip Length during Fastening of Bolted Joints: A Mahalanobis-Taguchi System (MTS) based Approach”, Journal of Intelligent Manufacturing, Vol.21, No.4, pp.377-392, 2010.
  15. ANGUSWAMY, R., SAYGIN, C., and SARANGAPANI, J., “In-Process Detection of Fastener Grip Length Using Embedded Mobile Wireless Sensor Network-based Pull-type Tools”, International Journal of Manufacturing Research: Special Issue on Advanced Manufacturing Technologies, Vol.4, No.2, pp.154-170, 2009.
  16. BUYURGAN, N. and SAYGIN, C., “Application of Analytical Hierarchy Process for Real-Time Scheduling and Part Routing in Advanced Manufacturing Systems”, Journal of Manufacturing Systems, Vol.27, No.3, pp.101-110, 2008.
  17. WAN, H., CHEN, F.F., and SAYGIN, C., “Simulation and Training for Lean Implementation Using Web-based Technology”, International Journal of Services, Operations, and Informatics, Vol.3, No.1, pp.1-14, 2008.
  18. GRASMAN, S.E., BELARBI, A., SAYGIN, C., and BAGHLI, A., “An Educational Partnership to Establish Engineering/Construction Management Graduate Programs in Algeria”, Journal of Professional Issues in Engineering Education and Practice (ASCE), Vol.134, No.4, pp.353-358, 2008.
  19. MOHAN, D., SAYGIN, C., SARANGAPANI, J., “Real-time Detection during Pull-type Fastening: A Mahalanobis-Taguchi System (MTS) based Approach”, International Journal of Advanced Manufacturing Technology, Vol.39, No.9-10, pp.995-1008, 2008.
  20. MEYYAPPAN, L., SOYLEMEZOGLU, A., SAYGIN, C., and DAGLI, C.H., “A Wasp-Based Control Model for Real-Time Routing of Parts in a Flexible Manufacturing System”, International Journal of Computer Integrated Manufacturing, Vol.21, No.3, pp.259-268, April 2008.
  21. MEYYAPPAN, L., SAYGIN, C., and DAGLI, C., “Real-Time Routing in Flexible Flow Shops: A Self-Adaptive Swarm-Based Control Model”, International Journal of Production Research, Vol.45, No.21, pp.5157-5172, 2007.
  22. MILLS-HARRIS, M.D., SOYLEMEZOGLU, A., and SAYGIN, C., “Adaptive Inventory Management Using RFID Data”, International Journal of Advanced Manufacturing Technology, Vol.32, pp.1045-1051, 2007.
  23. BUYURGAN, N., MEYYAPPAN, L., SAYGIN, C., DAGLI, C.H., “Real-time Routing Selection for Automated Guided Vehicles in Flexible Manufacturing Systems”, Journal of Manufacturing Technology Management, Vol.18, No.2, pp.169-181, 2007.