Graduate Faculty
701-231-7287
Canan Bilen-Green, Ph.D.
Statistics, 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
John R. Cook, Ph.D.
Human Factors Engineering, Purdue University, 1991
Research Interests:
Human Factors Engineering, Ergonomics, Person-System Optimization, Healthcare Management Engineering, Cognitive and physical ergonomics job design, Human-centered product design and job satisfaction research methods, Analysis of human factors issues associated with space-based manufacturing, Framework for automation of surveillance of complex systems
Kambiz Farahmand, Ph.D., P.E.
Industrial Engineering, University of Texas, 1992
Research Interests:
Manufacturing Systems, Nano technology implementation in manufacturing, Simulation & Modeling, Ergonomics Design, Lean Manufacturing, ISO Quality Management System, EMS 14001, Productivity Analysis & Waste Management, Respiratory & Life Support System
Reza A. Maleki, Ph.D., P.E., C.Mfg.E.
Engineering, North Dakota State University , 1989
Research Interests:
Plant-wide Assessment, Manufacturing and Productivity Improvements, Rapid Product Development and Realization, Production Systems Design, Supply- Chain management, Product analysis for manufacturability
Valery R. Marinov, Ph.D.
Manufacturing Engineering, Technical University of Sofia, 1992
Research Interests: Process Modeling for Machining, Theory of Metal Cutting, Tribological Coatings, Including Nanocomposite Coatings and Deposition Methods, Design for Composites Manufacturing Processes, Packaging for low-cost disposable microelectronics, Direct-write material deposition methods, Laser processing
Jing Shi, Ph.D.,
Industrial Engineering, Purdue University , 2004
Research Interests:
Microelectronics Packaging, Direct Write Material Depositing, Laser Processing for Electronics, RFID Applications, Numerical Modeling of Manufacturing Processes, Computer Integrated Manufacturing
David L. Wells, Ph.D., C.Mfg.E.
Engineering Management, 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.
Industrial Engineering, 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.
Industrial Engineering, 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
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Program Description
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 http://www.ndsu.edu/ndsu/ime/ .
Admissions Requirements
Graduate study in the Industrial and Manufacturing Engineering Department is open to all qualified baccalaureate graduates from universities and colleges of recognized standing.
- Have earned a baccalaureate degree from an educational institution of recognized standing;
- Have obtained adequate preparation in industrial engineering, manufacturing engineering, or a closely related field;
- Have demonstrated a potential to undertake advanced study and research, through such evidence as prior academic performance and/or professional experience and/or recognized academic examination;
- Have earned, at the baccalaureate level, a cumulative grade point average [GPA] in all courses of at least 3.0 or equivalent. Students who have earned a graduate degree with a GPA of 3.0 or equivalent may be admitted in full standing.
- For students applying from countries where English is not the official language, achieve a score of 550 (paper test) or 213 (computer test) or 79 (internet test) on the Test of English as a Foreign Language [TOEFL] and 4.0 on the Test of Written English [TWE].
- A Graduate Record Examinations (GRE) general test score of 1100 (Verbal + Quantitative) and Analytical Writing score of 4.0 or better for masters degrees and 1200 or better (Verbal + Quantitative) and Analytical Writing score of 4.5 or better for doctoral degree is required of all students admitted.
- Three letters of recommendation are generally required before action is taken on any application. Personal reference report forms are available from the Graduate School .
(For more detailed information, please refer to the Graduate Policy Handbook available online.)
Applications should be submitted directly to the Graduate School before May 1 of the upcoming academic year. However, applications will be considered at any time they are submitted.
Official transcripts of all previous undergraduate and graduate records must be received by the Graduate School before the application is complete. When a transcript is submitted in advance of completion of undergraduate or graduate studies, an updated transcript showing all course credits and grades must be provided prior to initial registration at North Dakota State University .
Degree 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 2, 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 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, please refer to the Graduate Bulletin.
Financial Assistance
Various types of financial assistance are available to graduate students, such as (but not limited to) student loans, scholarships, graduate assistantships, graduate tuition waivers, and part-time employment opportunities both on and off campus.
A number of well-qualified graduate students, upon recommendation from the department concerned, are employed either as teaching or research assistants by most academic departments of the university. 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 more common than teaching assistantships, and 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. Many assistantships are structured for less than that amount of work commitment. 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.
For more information about the IME graduate program, please visit http://www.ndsu.edu/gradschool/depts/industrialmaneng.shtml
Courses Offered
611 Human Factors Engineering 3
- A survey of human factors engineering topics
with an emphasis on optimizing person-machine and person-system interactions.
Human physical and cognitive capabilities will be investigated to improve work
design, interface design, and usability. Prereq: IME 311, IME 460. F/2.
627 Electronics Manufacturing 3
- Process and production engineering for
manufacture of electronic components; specialty materials, process
parameters, production system design factors, production performance
metrics. Introduction to concurrent engineering applied to development
of electronic products. Open to all engineering majors. Offered
fall, odd years.
630 Process Engineering 3
- Comprehensive analysis of selected manufacturing
processes; development of process flow maps and models of process
dynamics, application of IDEF and cascade process modeling,
evaluation of processing alternatives. Design of effective and
efficient processes for selected industrial products. Seminar/case
study format. Prereq: IME 330. Offered fall.
631 Production Engineering 3
- In-depth analysis of production systems
for selected manufactured products; development of production
system flow maps and linked process dynamic models, evaluation
of take time, and identification of constraints. Design of alternative
solutions for production constraints. Seminar/case study format.
Prereq: IME 330; IME 430/630 desirable. Offered spring.
635 Plastics Materials and Processes 3
- Product and process engineering for plastic
products: material properties and selection, plastic parts design,
tools and methods selection, quality evaluation for manufactured
plastic parts. Course project to design a plastic part and injection
mold and validate the results in a laboratory setting. Cross-listed
with ME. Prereq: IME 330.
640 Engineering Economics 3
- Capital investment decision-making within
the rules of general and project accounting. Benefit-cost analysis
for engineering installations, operations, life cycle, and buy-rent-lease
decisions. Offered fall, spring, and summer.
650 Systems Engineering and Management 3
- Integration of technical disciplines
through the stages of systems life cycle: needs and requirements
determination, operating and support concepts, design and prototyping,
test and evaluation, facilitation, manuals and documentation,
training, supportability. Offered fall.
651 Logistics Engineering and Management 3
- The course emphasizes on integrated logistics
management methods to improve the effectiveness and efficiency of material
flow, information flow and cash flow for the entire supply chains.
Coreq: IME 470. F/2, odd years.
652 Integrated Industrial Information Systems 3
- Integration of technical, business,
and operational information for status, progress and decision-making
in product development, manufacturing, and logistical support.
Prereq: IME 450 or 650. Offered spring.
653 Hospital Management Engineering 3
- Survey of management engineering roles
in the delivery of healthcare. Review of functional relationships
present in healthcare delivery systems. Application of industrial
engineering tools to solve healthcare delivery problems focused
on cost reduction, process redesign, facility design, quality
improvement, and systems integration. Prereq: departmental approval;
students should have taken core industrial engineering courses.
Offered spring, even years.
655 Management of People Systems 2
- Study of traditional management functions
(planning, organizing, influencing, and controlling) in the
context of engineering and management system interactions. Emphasis
on communication skills, teaming, job design, leadership, facilitation,
and improving employee productivity. Offered fall.
656 Program and Project Management 3
- Multidisciplinary teams identify, define,
solve, and document substantive problems for industrial clients.
Integrates technical, business and operational specialties.
Matrix management. Project format. Prereq: departmental approval.
Offered spring.
660 Evaluation of Engineering Data 3
- Design of engineering experiments and
evaluations. Curve fitting, regression, analysis of variance,
hypothesis testing, Taguchi methods. Prereq: Math 166. Offered
fall and spring.
661 Quality Assurance and Control 3
- Proactive and reactive quality assurance
and control techniques. Emphasis on quality planning, statistical
process control, acceptance sampling. Prereq: IME 460 or 660.
Offered spring.
662 Total Quality in Industrial Management 3
- Analysis and achievement of total quality
in all dimensions of industrial activities and organizations.
Continuous improvement strategies, applications of statistically
based methods, leadership, training, and performance measures.
Prereq or Coreq: IME 455 or 655. Offered fall, even years.
663 Reliability Engineering 3
- Study and application of statistical
models and methods for defining, measuring, and evaluating the
reliability of products, processes, and services: life distributions,
reliability functions, reliability configurations, reliability
estimation, parametric reliability models, accelerated life
testing, reliability improvement. Prereq: IME 460 or 660. Offered
spring, odd years.
670 Operations Research I 3
- Analysis and optimization in industrial
operations. Linear programming, transportation models, networks,
integer programming, goal programming, dynamic programming,
nonlinear programming. Prereq: Math 229, Math 265. Offered spring.
671 Operations Research II 3
- Probabilistic operations research. Queuing
theory, decision analysis, Markov processes. Prereq: IME 460
or 660, 470 or 670. Offered by demand.
672 Simulation of Business and Industrial Systems 3
- Fundamentals and techniques of simulating
business and industrial systems. Applications of modern software.
Monte Carlo methods. Prereq: IME 460 or 660, high-level computer
language. Offered spring.
680 Production and Inventory Control 3
- Planning and controlling industrial
production and inventories. Demand forecasting, master scheduling,
materials requirements planning, job scheduling, line balancing,
just-in-time production. Prereq: IME 460 or 660, 470 or 670.
Offered fall.
682 Automated Manufacturing Systems 3
- Design of integrated production systems,
with flexible, programmed automatic controls for fabrication,
assembly, packaging, movement, and storage of goods. Numerical
control, flexible manufacturing, integrated manufacturing concepts.
Prereq: IME 311, 330; ECE 303. Offered fall.
685 Industrial and Manufacturing Facility Design 3
- Integration of analysis and design tools
to convert product design into production plans and plants.
Prereq: departmental approval. Offered spring.
711 Advanced Human Factors Engineering 3
- Research-based study of current human
factors engineering problems. Students will review current human
factors topics, design and conduct research studies, and produce
technical papers reporting results. Prereq: IME 411 or 611,
460 or 660. Offered fall, odd years.
720 Surface Engineering 3
- Structure and properties of engineering
surfaces. Tribology: surface contacts, friction, wear. Surface
treatment. Solid, liquid and vapor phase deposition processes
for tribological coatings. Emerging processes: nano- and diamond-based
coatings. Evaluation and characterization of tribological coatings.
Offered fall, odd years.
740 Advanced Engineering Economics 3
- Development and analysis of models for
replacement analysis, capital budgeting, income tax effects
on equipment selection, and manufacturing costing. Probabilistic
and algorithmic models. Prereq: IME 440 or 640. Offered fall,
odd years.
761 Quality Engineering 3
- Study and application of advanced statistical
tools and techniques for defining, monitoring, and improving
the quality of products, processes, and services: statistical
control charts, process capability analysis, acceptance sampling
of variables and attributes, application of design-of-experiments
for product and process optimization, response surface methodology,
Taguchi methods. Prereq: IME 461 or 661. Offered fall, odd years.
770 Advanced Operations Research Topics 3
- Theory and applications of linear programming,
network flows, and nonlinear programming. Prereq: IME 470 or
670. Offered fall, odd years.
772 Advanced Simulation 3
- Special purpose simulation languages
to model, analyze, and design industrial and engineering systems.
Deterministic and stochastic models. Prereq: IME 472 or 672.
Offered spring, even years.
774 Neural Networks 3
- See Computer Science 735 for description.
780 Advanced Production and Inventory Control 3
- Theory and application of production
scheduling, inventory management, production planning, just-in-time
production , materials requirements planning. Prereq: IME 480
or 680. Offered fall, even years.
782 Robotics/CAD/CAM/Control Systems 3
- Integration and automation of fabrication
and assembly systems, including automated materials handling
and intelligent control systems. Prereq: IME 482 or 682. Offered
spring, odd years.
784 Computer Integrated Manufacturing 3
- Continuum integrated manufacturing systems,
where computer technology is incorporated into conception, configuration
design, process engineering, and fabrication of a good or service.
Philosophy and methodologies for systematically building flexible
and efficient production systems. Prereq: IME 472 or 672. Offered
spring, even years.
786 Manufacturing Systems Analysis 3
- Comprehensive analysis of complex issues
in the technology and management of modern manufacturing systems
and enterprises. Technological issues will impinge on product
realization, production of goods, and manufacturing equipment
and facilities; management issues addressed will be those drawn
from the operation of global production enterprises. Seminar
format. Prereq: IME 630 or 631. Offered spring.
790 Research Seminar 1-1
692/792 Case Studies 1-3
793 Individual Study 1-5
794 Practicum/Internship 1-8
695/795 Field Experience 1-15
696/796 Special Topics 1-5
797 Master's Paper 1-4
798 Master's Thesis 1-10
799 Doctoral Dissertation 1-15
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