Industrial and Manufacturing Engineering
Graduate Program Coordinator
Dr. Om Prakash Yadav
Interim Department Head
Dr. Canan Bilen-Green
202 Civil & Industrial Engineering Bldg.
International applications are due May 1 for fall semester and August 1 for spring and summer semesters.
English Proficiency Requirements
TOEFL ibT 81 Speaking 23 Writing 21
The Department of Industrial and Manufacturing Engineering offers graduate studies at both the Master of Science and Doctor of Philosophy levels. A Master of Science degree may be earned in either Industrial Engineering and Management (IE&M) or Manufacturing Engineering (MfgE). The Master of Science degree can be completed through a thesis option or project option. The project option is available only to candidates who have been professionally employed in industrial engineering, manufacturing engineering or a related field and are working in their field at the time of application for admission to graduate study. The IE&M master's programs is designed to equip students with the ability to analyze, design, and manage industrial and business systems as well as to enable students to develop scholarly abilities to further pursue a Ph.D. degree in industrial and manufacturing engineering. Students have an opportunity to conduct research in the development of theoretical concepts and industrial systems.
For more information about our department and programs please visit our department site at www.ndsu.edu/ndsu/ime/ .
Graduate study in the Industrial and Manufacturing Engineering Department is open to all qualified baccalaureate graduates from universities and colleges of recognized standing. In addition to the GRE test, students must meet the Graduate School admission requirements.
The Master of Science degree in Industrial Engineering and Management or Manufacturing Engineering requires 30 credits of graduate-level study. For the thesis option, of the required minimum 30 credits, at least 21 credits must be didactic courses numbered 601-689, 691, 700-789, and 791 while the research credits (798) must be at least 6, but not more than 10, credits. For the comprehensive study option, of the required minimum 30 credits, at least 27 credits must be didactic courses numbered 601-689, 691, 700-789, and 791 while the research credits (797) must be at least 3, but not more than 4, credits.
The Doctor of Philosophy degree requires 60 credits beyond the M.S. requirement. Didactic coursework must account for at least 27 credits, and of these, 15 credits must be earned in 700-level courses. It is customary for the remainder of the didactic credit requirement to be dedicated directly to the dissertation, either through course preparation, focused research or writing.
For either the M.S. or Ph.D., all courses taken outside of the IME Department must be approved in advance by the student's academic adviser. The total course of study must be approved by the student's academic adviser, thesis committee, graduate program coordinator and department chair. Students completing graduate degrees within the IME Department responsibility are expected to exhibit demonstrable expertise in the core competencies of either industrial engineering or manufacturing engineering. Students whose undergraduate major is in another field may be required to include some or all of the core competencies in their graduate coursework. For further information in this regard, please consult the IME Department.
All graduate students are required to register for Research Seminar [IME 790] for each semester in residence. This is a one-credit experience for the academic year, but does not count towards the total degree credit requirement. Each new student must complete a preliminary thesis or project proposal within six months of beginning graduate studies, and it is recommended that this be completed during the first semester in residence. The proposal, if approved by the IME Graduate Studies Committee, will provide the direction for the remainder of the student's degree work. At the same time, the student will choose a thesis or project adviser from the IME Department faculty. By the end of the first year in residency, the student must have selected a supervisory committee. This committee will be chaired by the faculty advisor and will provide direction, advice and examination of the student's work and achievement. For additional information, graduate program coordinator.
There are a limited number of teaching assistantships in Industrial and Manufacturing Engineering available, which are normally assigned as support for classes with large enrollments and/or heavy laboratory content. Research assistantships are offered when student capabilities and background experience match the needs of the project. While teaching assistantships are funded through the University, research assistantships are generally funded through externally-funded grants and contracts. In both cases, assistantships are considered as employment, and the graduate student should view these appointments as a job. The student's thesis or dissertation may or may not be in the area of their job duties for the assistantship.
Full assistantships are for half-time employment (20 hours per week). Tuition for all graduate credits, resident or nonresident, are waived for individuals officially appointed as research or teaching assistants. Student activity fees are not waived. When a student is offered an appointment as a Graduate Research Assistant, the faculty and the department will carry the expectation that the student has made a full commitment to fulfill both the degree requirements and the job responsibilities.
Canan Bilen-Green, Ph.D.
University of Wyoming, 1998
Research Interests: Quality and Reliability Engineering, Productivity Analysis, Design and Auditing of Quality and Productivity Monitoring Systems, Statistical Modeling and Applications in Industry, Statistical quality control applied to manufacturing, Material strength characterization, Inventory management, and Healthcare
Kambiz Farahmand, Ph.D., P.E.
University of Texas, 1992
Research Interests: Ergonomics Design, Healthcare, Facilities and Production Layout - Planning & Management, Human Exposure and Physiology Simulation, ISO 9001 Quality Management System, Productivity Analysis & Waste Management, Respiratory& Life Support System, Lean Manufacturing, Safety and Human Factors Engineering, Manufacturing Systems, Simulation & Modeling, Operations & Materials Management and Strategic Planning, NanoTechnology, Computer Network Management
Valery R. Marinov, Ph.D.
Technical University of Sofia, 1992
Research Interests: Advanced packaging for flexible microelectronics, laser processing in microelectronics, nanocomposite materials applications.
Jing Shi, Ph.D.
Purdue University, 2004
Research Interests: Renewable energy development, Wind energy system, Healthcare operation improvement, Healthcare informatics, Wireless sensor network, RFID applications, Micro/nano manufacturing, Multiscale modeling of manufacturing processes, Composite materials, Microelectronics
David L. Wells, Ph.D., C.Mfg.E.
University of Missouri-Rolla, 1996
Research Interests: Assembly of Micro and Nano Components, Printed Electronics, Process Engineering for Electronics Manufacturing, Advanced Manufacturing Processes, Product Realization, Application of RFID Technology, Quantitative Manufacturing Management, Advanced Manufacturing in Economic Development
Om Prakash Yadav, Ph.D.
Wayne State University, 2002
Research Interests: Quality and Reliability Engineering; Robust Product/Process Design, Concurrent Engineering, TQM, Lean Manufacturing, Six Sigma Methodologies, Production & Operations Management, Optimization Techniques, Supply-Chain Management, Fuzzy Logic And Neural Networks, Quantitative Analysis of Operations Management
Jun Zhang, Ph.D.
Purdue University, 2006
Research Interests: Lean manufacturing and logistics, Production planning and inventory control, Scheduling, Simulation optimization, Models and methodologies of stochastic optimization, Healthcare engineering, Facility design, Supply chain management, Artificial intelligence, Machine learning and data mining, Computer integrated manufacturing