Industrial and Mechanical Technology
Faculty and Staff
MING ZHOU
ASSOCIATE PROFESSOR
Dr. Ming Zhou
received a Ph.D. in Systems and Industrial Engineering from
the The University of Arizona in 1995. Currently he is an associate
professor in the College of Technology, Indiana State University
(ISU). Dr. Zhou is also the Cheif Researcher and Supervisor at
ISU's Center for system Modeling and simulation (CSMS). He
has taught courses in computer graphics, reliability and failure
analysis, simulation modeling and analysis, statistics for
experimental research, advanced computer aided design, graphical
analysis calculus, experimental design and process analysis,
strength of materials and machine element design, survey of
logistics and distribution systems, etc. He has also taught courses
in engineering statistics, industrial engineering methods, CAD/CAM,
computer programming before joining the faculty of ISU. Dr. Zhou
has also given workshop/seminars to a number of
national/international institutions, on design of experiment (DOE),
simulation modeling and analysis, and computer aided
design/modeling. Dr. Zhou is actively conducting applied research
in several areas (see description below). Dr. Zhou has been a
member of IIE since 1993, and he is also a member of the Editorial
Board, International Journal of Industrial Engineering. Engineering
(IJIE). During recent years, Dr. Zhou has served as an adjunct
faculty at the Role-Hulman Institute of Technology, and visiting
professorships at Hua Zhong University of Science and Technology and
Shen Zhen University (China).
Program /
Curriculum Development
-
Dr. Ming Zhou has developed the following
courses for undergraduate or graduate studies:
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Reliability and Failure Analysis
(undergraduate course)
-
Experimental Design and Process
Analysis (graduate course)
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Reliability, Maintainability and
Serviceability (graduate course)
-
Application of Simulation Modeling and
Analysis (graduate course)
-
Survey of logistics and distribution
systems (graduate course)
-
Graduate students and senior
undergraduates are also welcome to take independent study course
with Dr. Zhou, and may select a topic from, but not limited to,
the following areas: computer integrated manufacturing (CIM),
CAD (geometric modeling, graphics, analysis), computer
simulation, design/analysis of production/manufacturing systems,
statistical quality control (SPC), design of experiment (DOE),
industrial application of artificial intelligence (e.g., expert
systems), production planning and inventory control, project
management and scheduling, applied optimization, fuzzy-logic and
neural network modeling, decision-making analysis, knowledge
based simulation modeling.
-
Currently Dr. Zhou serves as the Program
Coordinator for the Mechanical Engineering Technology Program
(BS) in the department.
Current Research
Interests / Activities
Dr. Zhou is the Chief Researcher and Faculty
Supervisor at
Center for System Modeling and Simulation
(CSMS), housed in the College of Technology,
Indiana State University, directing the Center’s R&D projects in the
following areas:
-
Knowledge-based simulation modeling for
discrete manufacturing systems
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Pattern and knowledge-based modeling and
simulation of logistics and distribution systems
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Modeling and simulation of health-care
delivery systems
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Data mining and rule formation with neural
networks, knowledge extraction from massive data/database
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Artificial Intelligence (AI) in the design
and control of engineering systems
-
Case based reasoning (CBR) in the
development of decision support systems for quality improvement
and corrective actions
-
Modeling, analysis and development of
quality information system (QIS) in manufacturing environment
Selected Grants
(Received, all as PI)
-
Research grant from University Research
Council (URC), $2350, 1996. Process Selection and Tolerance
Allocation for Rotational Surfaces.
-
Research grant from URC, $2800, 1997. A
Fuzzy Set Theory Based Methodology for Target Value Problem in
Quality Improvement.
-
1997 PIF Award from Indiana State
University, $4160. Integrated Design, Modeling and Analysis in
Distribution Packaging.
-
Research grant from Kellogg Institute,
Inc., $58,740. April, 1999. AI and Knowledge-based System for
Optimization of Food Extrusion Process.
-
Lilly Faculty Fellowship: $5000, May,
1999. Investigation and Development of Data Mining Models for
Analyzing First-Year Student Profile Data.
-
ISU International Travel Grant: $4000.
2002-2003 period. Academic exchange program and research
seminars in China.
-
ISU IRTS Research Grant: $5000, 2004.
Knowledge representations for conceptual simulation modeling.
-
Corporate funding for CSMS R&D projects: $14,933. (Union
Hospital Terre Haute and Columbia House Company) 2004.
Selected
Publications
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Zhou, M. and R. G. Askin, "Integrated
Operations Planning and Manufacturing Cell Formation",
Proceedings, ORSA Technical Session On Manufacturing Management,
June, 1994, pp. 96-103.
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Zhou, M. and R. G. Askin, "Formation of
General GT Cells: An Operation-based Approach", International
Journal of Computers and Industrial Engineering, Vol. 34, No. 1,
pp. 147-157, 1998.
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Askin, R. G. and M. Zhou, "Formation of
Independent Flow-line Cells based on Operations Requirement and
Machine Capability", IIE Transactions, Vol. 30, pp.319-329,
1998. This paper received "Best Paper Award" from IIE
Transactions.
-
Zhou, M. and R. G. Askin, "A Parallel
Station Heuristic For The Mixed-Model Production Line Balancing
Problem", International Journal of Production Research, Vol. 35,
No. 11, 1997, pp. 3095-3105.
-
Zhou, M., "Process Selection and Tolerance
Allocation for Rotational Surfaces", Proceedings, 6th Industrial
Engineering Research Conference, May, 1997, pp. 942-947.
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Zhou, M., "Fuzzy Logic Based Models for
Quality Planning and Improvement", Intelligent Engineering
Systems Through Artificial Neural Networks, Volume 7, 1997, pp.
311-316.
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Zhou, M., "A Fuzzy Set Theory Based
Approach for Target Improvement Problem in Design and Quality
Planning", International Journal of Industrial Engineering, Vol.
5, No. 4, 1998, pp. 278-287.
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Zhou, M., "On Engineering Design Task Organization and
Assignment", International Journal of Industrial Engineering,
Vol.8, No. 1, 2001, pp. 28.36
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Zhou, M. and C. Zhao, “Quality Planning in Job-Shop
Manufacturing Systems”, Proceedings, 8th
Industrial Engineering Research Conference, Phoenix, Arizona,
May 1999.
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Zhou, M., and J. Paik, “Integrating Neural Network and Symbolic
Inference for Predictions in Food Extrusion Process”,
Proceedings, 13th International Conference On
Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems (IEA/AIE 2000), New Orleans,
Louisiana, June 2000, pp. 567-572.
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Zhou, M., “A Neural Network and Genetic Algorithm Based Approach
for Optimization of Food Extrusion Process Parameters”,
Proceedings, 10th Industrial Engineering Research
Conference, Dallas, Texas, June 2001.
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Zhou, M., and C. Zhao, “An Optimization Model and Multiple
Matching Heuristics for Quality Planning in Manufacturing
Systems”, Journal of Computers & Industrial Engineering,
No. 42, 2002, pp. 91-101.
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Zhou, M. “Neural Networks and Their Applications in
production/Manufacturing”. A book chapter in special edition
titled “Intelligent Systems: Techniques and Applications” (ed.
Dr. Leondes), CRC Press LLC International, 2002.
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Zhou, M. and A. Kinley, “A Representation Model and Similarity
Analysis of QICA Cases”, Proceedings, 8th
Annual International Conference on Industrial Engineering
Theory, Applications and Practice, Las Vegas, NV, November
2003.
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Zhou, M., and J. Paik, “An Application of Neural Network and
Genetic Algorithm for Optimizing Food Extrusion Process
Parameters”, International Journal of Industrial
Engineering, Vol. 11, No. 2, 2004, pp 132-139.
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Zhou, M. and M. A. Badar, “Research at Center for Systems
Modeling and Simulation”. Proceedings, 2004 INCOSE
Conference. West Lafayette, Indiana. May, 2004.
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Zhou, M. J. Son and Z. Chen, “Knowledge Representation for
Conceptual Simulation Modeling”, Proceedings, 2004 Winter
Simulation Conference. Washington D.C., December, 2004.
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Zhou, M. and B. Hu, “Modeling, Analysis and Application of
Discrete Event Simulation”. Accepted and to be published
by the Central China University of Science and Technology
Press in spring 2005.
New Courses
· IMT
490A Reliability and Failure Analysis_____ Introduce the concept and
principles of reliability, failure modes and mechanisms, with
emphasis on the applied techniques to determine time-t-failure,
failure rate, and reliability of components/systems, including
probability distribution models, construction of reliability
bath-tube curve (RBTC), failure mode and effect analysis (FMEA),
fault tree analysis (FTA), etc. This course is designed for both
undergraduate and graduate students as well as engineers/managers in
service.
· IMT
811 Experimental Design and Process Analysis_____ Introduction to
the design and analysis of engineering experiments for industrial
applications. Topics include single factor models, blocking design,
factorial design and regression analysis. Emphasis is given to the
modeling of industrial application problems. Computer aided modeling
and analysis is also introduced. The course is designed for graduate
students (particularly QSS major) as well as engineers/managers in
service.
· IMT
812 Reliability, Maintainability and Serviceability____ This course
is designed for graduate students, particularly doctoral students in
Qualilty Systems Specializations )QSS). It emphasizes the
methodology used in analyzing manufacturing and other production
systems based on reliability, maintainability and serviceability
concepts and principles.
· IMT
608 Application of Simulation Modeling Analysis____ This course
introduces basic concepts, principles and techniques of simulation,
with a focus on the application of simulation modeling and analysis.
Topics include model development, input design, output analysis, and
modeling manufacturing systems. A popular simulation software ARENA
is used for class implementation. Hands-on experience with computer
is emphasized.
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IMT 603: Survey of Logistics and Distribution Systems ____ This
course provides an overview of industrial logistics and
distribution systems. Topics cover all major logistics
functions, such as customer service, materials management,
inventory management, materials handling and packaging,
warehousing and transportation. Discussions will focus on basic
concepts, principles, and industry practice and standards.
Contact Information
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