ࡱ> ^`]#` ,bjbj\.\. mH>D>D# fff$P,J<*5*7*7*7*7*7*7*$D,h.T[*f/%"/%/%[*1p*)))/%8f5*)/%5*))Nf) @y%) *,*0*)/I(/)/f)xsz)!F[*[*1)X*/%/%/%/%D  WICHITA STATE UNIVERSITY INDUSTRIAL AND MANUFACTURING ENGINEERING Master of Science in Industrial Engineering (MSIE) s Master of Science in Industrial Engineering (MSIE) program offers concentrations in: Ergonomics/Human Factors, Engineering Systems, and Manufacturing Systems Engineering. The MSIE program is directed toward both full-time and part-time students with a special emphasis on providing training and experience in performing independent research on topics with theoretical as well as applied interest. Students are encouraged to conduct research or take courses on topics that overlap several disciplines. Available Facilities Graphics Lab, Metrology Lab, CIM Lab, Cessna Manufacturing Processes Lab, Automation and Controls Lab, Ergonomics/Human Factors Lab, Graduate Computing Lab, Open Computing Lab. Curriculum and Research Concentrations Ergonomics/Human Factors. The concentration in this area is on industrial ergonomics; occupational biomechanics; work physiology; occupational health and safety; ergonomic product design and evaluation; and ergonomics and human factors issues in aviation systems. Systems Engineering. The concentration in this area is on optimization; multi-criteria decision making; modeling and analysis of manufacturing/service systems; management of engineering enterprises; decision analysis; total quality management; application of intelligent systems and simulation; and, activity-based costing. Manufacturing Systems Engineering. The concentration in this area is in planning, design, modeling, analysis and control of manufacturing systems; supply chain management; CAD/CAM/CIM systems; measurement/ inspection; tolerancing in design and manufacturing; manufacturing processes; forming; tools/jigs design; assembly; and free-form surfaces manufacturing. Admission Requirements (1) Possession of an undergraduate degree in engineering, science, business, or other related disciplines; (2) A minimum GPA of 3.0, on a 4.0 scale, in the last 60 hours of undergraduate courses and in all graduate courses (students with a lower GPA may be considered only for probationary or non-degree admission); (3) Satisfactory completion (with B or better) of the following courses: Math 344 Calculus III A Natural Science course equivalent to that of undergraduate engineering requirement IME 255 Engr. Economy (4) Programming competence in C, C++, Visual Basic, or FORTRAN; (5) Students with English as a second language must have a minimum score of 550 in TOEFL (or 213 in computer-based test); (6) Students with undergraduate degree from a program not accredited by ABET are encouraged to submit GRE score; and (7) Applicants must select one of the following as a concentration: Ergonomics/Human Factors, Engineering Systems, or Manufacturing Systems Engineering. Degree Requirements (1) Must select an advisor and have a plan of study approved before completing 12 program hours. At least 60% of hours in a plan of study must be 700 or higher level. (2) Core Courses: IME 549 Industrial Ergonomics IME 550 Operations Research IME 553 Production Systems IME 724 Statistical Methods for Engineers CESP 750D Engineering Research Writing (with B or better) Students with previous credit in one or more of these courses would receive waivers for those courses. However, they must meet total credit-hour requirement. (3) Concentration Courses: at least nine hours from a selected list of concentration courses (see back of this page). (4) Technical Electives: any departmental course with graduate credit and, with advisors permission, no more than six hours from another department. (5) Up to twelve hours may be transferred from another accredited graduate school. (6) Completion with at least 3.0 GPA the minimum required graduate credit hours: Thesis Option with a minimum of 24 hours of course work plus 6 hours of thesis, Directed Project Option with a minimum of 30 hours of course work plus 3 hours of directed project, All Course Option with a minimum of 33 hours of course work plus a written core competency exam. Faculty: S. Hossein Cheraghi (PhD, Pennsylvania State University) - precision measurement, automated inspection, process analysis and control systems, tolerancing in design and manufacturing, manufacturing systems, computer vision in manufacturing and inspection, and CAD/CAM systems. Michael Jorgensen (PhD, Ohio State University) work-related low back disorders, musculoskeletal disorder epidemiology, low-back biomechanical modeling, risk and exposure assessment methodology, and occupational safety. Krishna K. Krishnan (PhD, Virginia Tech) - manufacturing systems, CAD/CAM systems, FMS, free-form surfaces manufacturing, process planning, process automation and control, design for manufacturability, and material handling. Haitao Liao (PhD, Rutgers University) Reliability Engineering and Testing, statistics, condition based maintenance, Instrumentation and signal processing. Viswanathan Madhavan (PhD, Purdue University) - manufacturing process in the areas of traditional and non-traditional machining, cutter technology, forming process, and tools and jigs design. Don E. Malzahn (PhD, Oklahoma State University) - decision analysis, project management, human factors and engineering management. Abu S. M. Masud, PE (PhD, Kansas State University) - operations research, multicriteria decision making, decision analysis and support systems, forecasting, and QFD. Jamal Sheikh-Ahmad (PhD, North Carolina State University) traditional and non-traditional machining of metals and composites, study of cutting tools and coatings of cutting tools, dynamic behavior of materials under high strain rates of deformation, constitutive modeling, and material characterization Janet Twomey (PhD, University of Pittsburgh) - intelligent data processing systems (neural networks, knowledge-based engineering, simulation, information systems, and statistics) applied to manufacturing and service systems. Gamal Weheba (PhD, University of Central Florida) - quality and reliability engineering, statistical process control, economics of quality, precision measurements, and rapid prototyping. Larry Whitman, PE (PhD, The University of Texas at Arlington) enterprise modeling and analysis, supply chain design, manufacturing systems applications, and production systems. M. Bayram Yildirim, (PhD, University of Florida) applied optimization, network optimization, supply chain management, scheduling, transportation planning, pricing on congestible networks  Concentration Courses/Courses with Graduate Credit: Ergonomics/Human Factors Concentration IME 557 Safety Engineering IME 749 Advanced Ergonomics IME 760A Ergonomic Assessment Methods IME 760B Intervention Strategies IME 880B Risk Analysis IME 890 Independent Study in I.E. IME 949 Work Physiology IME 950 Occupational Biomechanics IME 990 Advanced Independent Study Systems Engineering Concentration IME 554 Statistical Quality Control IME 556 Information Systems IME 565 Systems Simulation IME 664 Engineering Management IME 731 Foundations of Optimization IME 740 Analysis of Decision Processes IME 754 Reliability and Maintainability Engineering. IME 755 Design of Experiments IME 764 Systems Engineering IME 783 Supply Chain Management IME 825 Enterprise Engineering IME 835 Applied Forecasting Methods IME 854 Quality Engineering IME 877 Foundation of Neural Networks IME 890 Independent Study in I.E. IME 930 Multiple Criteria Decision Making IME 956 Knowledge-Based Systems IME 960A Logistics & Supply Chain Management IME 960B Network Optimization IME 960C Planning & Scheduling in Manufacturing & Services IME 990 Advanced Independent Study Manufacturing Systems Engineering Concentration IME 502 Manufacturing Measurement Analysis IME 558 Manufacturing Methods and Materials II IME 563 Facilities Planning & Design IME 568 Manufacturing Tools IME 576 Composites Manufacturing IME578 Post Cure Manufacturing of Composites IME 622 Computer Aided Design and Manufacturing IME 654 Non-Traditional Machining Processes IME 658 Forming Processes IME 758 Analysis of Manufacturing Processes IME 767 Lean Manufacturing IME 768 Metal Machining Theory & Applications IME 775 Computer Integrated Manufacturing IME 778 Machining of Composites IME 785 Tolerancing in Design & Manufacturing IME 858 Non-Linear FEA in Metal Forming IME 865 Modeling & Analysis of Discrete Systems IME 880K Advanced Facilities Planning and Material Handling IME 890 Independent Study in I.E. IME 990 Advanced Independent Study For More Information, contact: Graduate Coordinator Industrial and Manufacturing Engineering Department , Wichita, KS 67260-0035 Phone:316-978-3425 E-mail: gradcoimfge@wichita.edu Web: imfge.wichita.edu  FILENAME \p Z:\imfge\IDRIVE\GRADUATE\Program Information\Current\MSIEproginfo-04 April 06.doc     Notice of Nondiscrimination: does not discriminate in its programs and activities on the basis of race, religion, color, national origin, sex, age, or disability. The following person has been designated to handle inquiries regarding nondiscrimination policies: Director, Office of Affirmative Action, , 1845 Fairmount, Wichita, KS 67260-0145, (316) 978-3371. 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