2019-2020 Graduate Catalog [ARCHIVED CATALOG]
Industrial and Manufacturing Systems Engineering
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2061 Rathbone Hall
785-532-5606
Fax: 785-532-3738
imse@k-state.edu
http://www.imse.ksu.edu/
Department Head:
Bradley A. Kramer
Director of graduate studies:
David Ben-Arieh
Graduate faculty:
*David Ben-Arieh, Ph.D., Purdue University
Deandra Cassone, Ph.D., Kansas State University
*Shing Chang, Ph.D., Ohio State University
*Suprem Das, Ph.D., Purdue University
*Dong Lin, Ph.D., Purdue University
*Todd Easton, Ph.D., Georgia Institute of Technology
*Jessica Heier Stamm, Ph.D., Georgia Institute of Technology
*Bradley A. Kramer, Ph.D., Kansas State University
*Shuting Lei, Ph.D., Purdue University
*Malgorzata Rys, Ph.D., Kansas State University
*Ashesh Sinha, Ph.D., University of Wisconsin-Madison
*Chih-Hang Wu, Ph.D., Penn State University
*Meng(Peter) Zhang, Ph.D., Kansas State University
*Denotes graduate faculty that are certified to serve as the major professor for doctoral students.
Academic programs
The department consists of 12 graduate faculty members and more than 50 graduate students. The department performs research in manufacturing systems, operations research and human factors (ergonomics). From previous data over 80% of on-campus Ph.D. students receive assistantships.
The Department of Industrial and Manufacturing Systems Engineering offers the following degrees/options at the graduate level:
- Concurrent B.S./M.S. in Industrial Engineering (BS/MSIE)
- M.S. in Industrial Engineering (MSIE)
- M.S. in Operations Research (MSOR)
- Master of Engineering Management (MEM)
- Ph.D. in Industrial Engineering (PhDIE)
Students that complete a master’s degree are able to:
- Solve advanced engineering problems using discipline appropriate math, science, computation and analysis skill
- Synthesize and evaluate information
- Demonstrate advanced knowledge in area of specialization
- Recognize and apply state of the art techniques in the field
- Communicate effectively in both written and oral forms
Besides the above skills, students who complete a Ph.D. can also
- Plan and conduct scholarly activities that make original contributions to the knowledge base in the field of study.
The BS/MSIE degree is only open to students that are currently pursuing a BSIE at KSU. Since there is some overlap between undergraduate and graduate study, some graduate courses will satisfy the degree requirements for the undergraduate degree. A maximum of 9 credit hours from the M.S.I.E. degree can be counted toward the B.S.I.E. degree. A more detailed description can be found in KSU’s Undergraduate Catalog.
The MSIE program can be completed with either a thesis or coursework only option. Both options require the completion of 30 graduate credit hours.
The MSOR program can be completed with either a thesis or coursework only option. Both options require the completion of 30 graduate credit hours. The MSOR degree is offered to on-campus and to a limited number of off-campus students through distance learning media.
The MEM degree is a course-work only program that is designed for working professionals. The courses are taken by off-campus students through distance learning media. This program requires the completion of 30 graduate credit hours.
The PhDIE degree requires either 60 hours of graduate credit beyond the M.S. degree or 90 graduate credit hours without an M.S. degree. 9 out of 30 credit hours after M.S. degree will be restricted to pre-specified IMSE courses. A significant original research project documented in the form of an acceptable dissertation is required. The dissertation must be of sufficient quality and importance to merit publication in a refereed journal.
Research emphases
Research in the Department of Industrial and Manufacturing Systems Engineering is conducted in five primary areas.
Ergonomics
Improve how humans work with machines and each other. Develop safe and productive work environments.
Manufacturing systems
Design and improve manufacturing systems with respect to product quality and system productivity.
Operations research
Expand the methodologies available for solving decision problems in engineering, economics, business and social systems. Incorporates applied mathematics and computer technologies into solution methods.
Quality engineering
Control manufacturing cost through manufacturing process improvement. Diagnose quality problems to improve product quality.
Uncertainty representation and reasoning
Improve engineering decision making, which is based on many uncertainties and approximations.
Major research facilities and equipment
The department of engineering has well-equipped laboratories supporting some of its research activities. Additional research is conducted in the field using industrial facilities.
The ergonomics laboratory contains measurement apparatus for assessing stress levels imposed on human workers by various job designs and work environments.
The manufacturing processes laboratory consists of a wide range of manufacturing process equipment that can support research involving basic manufacturing processes. The laboratory includes numerous lathes and milling machines, a foundry with gas-fired and electric induction furnaces, molten salt heat treat facility, gas-flame metal cutting and joining processes, various welding processes, and material properties measurement equipment.
The Cyber Manufacturing laboratory is a modern, well-equipped computer controlled manufacturing system. Equipment included in the lab are 3D printers, Computer Numerically Controlled (CNC) machining centers, robots, programmable logic controllers, a programmable conveyor, and computer workstations for Computer Aided Manufacturing.
The departmental computing laboratories are modern and well equipped. IMSE students have access to these labs 24 hours a day.
Financial support
Financial support for a number of teaching and research assistants is available. However, the requests for this support regularly exceed the funding available. Awards are made on a competitive basis. The awarding of financial assistance is separate and distinct from admission to the graduate program. Many students choose to enroll without financial assistance to pursue the various graduate degrees and options in industrial and manufacturing systems engineering.
Concurrent
Doctor of Philosophy
Master of Engineering Management
Master of Science
Industrial and Manufacturing Systems Engineering
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IMSE 501 - Industrial Management Credits: 3
Basic functions in an industrial organization and their interrelationships; management considerations involving product, process, plant, and personnel.
Note:
Three hours recitation a week.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 530 - Engineering Economic Analysis Credits: 2
The analysis of the economic aspects of engineering/industrial projects. Focus on decision making among competing alternatives, including replacement decisions. Includes: cost estimating, time-value of money and effects of depreciation and taxation. Methods of comparing alternatives are developed, including: equivalent worth, rate of return, break even analysis, and benefit-cost ratio. The course period lasts the first ten weeks of a semester.
Requisites:
Prerequisite: MATH 220.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 532 - Engineering Economic Analysis Credits: 1
The analysis and selection of engineering/industrial projects. This course is a continuation of IMSE 530. Topics in addition to IMSE 530 includes: risk/uncertainty, impact of inflation, capital rationing, multiple criteria decision making, and determining the MARR. The course period lasts the last five weeks of a semester.
Requisites:
Prerequisite: This course must be taken concurrently with IMSE 530 in the same semester.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 541 - Statistical Quality Control Credits: 3
Normal, binomial, and frequency distributions. Seven process improvement tools. Control charts on means and variances for variables and attributes. Design of experiments for process and product design. Acceptance sampling plans.
Note:
Two hours recitation and two hours laboratory a week.
Requisites:
Prerequisite: STAT 511.
Typically Offered
Fall
KSIS Course Search
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IMSE 555 - Industrial Facilities Layout and Design Credits: 3
Design of industrial facilities with emphasis on manufacturing engineering and material handling.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 251 and corequisite or prerequisite: IMSE 530.
Typically Offered
Spring
KSIS Course Search
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IMSE 560 - Introduction to Operations Research I Credits: 3
A study of the methods of operations research including model formulation and optimization. Topics include: linear programming, sensitivity analysis, network flows, and graph optimization.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: MATH 222 and MATH 551.
Typically Offered
Fall
KSIS Course Search
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IMSE 562 - Materials and the Impact of Manufacturing Processes Credits: 3
The categorization and analysis of materials used in manufacturing is introduced. Emphasis is placed on the electronic and mechanical properties of materials along with the impact that manufacturing processes have on these properties. Through laboratory work, the students will learn how to design and conduct manufacturing experiments to measure material properties and explore the interplay between processes and properties. 3 credit hours, 2 hours lecture, 1 hour lab per week [2 lab sections]. Offered spring semesters every year.
Requisites:
Prerequisite: PHYS 214, CHE 354.
Typically Offered
Spring
KSIS Course Search
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IMSE 563 - Manufacturing Processes Engineering Credits: 3
The effects of operating variables on manufacturing processes such as machining, metal forming, casting, welding, plastics, etc. Emphases are on manufacturing process theory, process variables measurement, and the technical inferences of collected data. Strength of materials, manufacturing process theory, instrumentation, computer data acquisition, and data analysis concepts are included. Laboratory testing of manufacturing processes and the engineering design of experiments for process variable measurements are used to develop efficient manufacturing processes.
Note:
Three hours recitation and two hours lab a week.
Requisites:
Prerequisite: IMSE 251, CHE 356, and CE 530.
Typically Offered
Spring, odd years
KSIS Course Search
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IMSE 564 - Product and Process Engineering Credits: 3
A study of the interrelationships between product design and production process selection. Emphasis is on the development of economic production systems for discrete products in a competitive manufacturing environment. Concepts of design for manufacture and assembly, tool engineering, and manufacturing systems design are included.
Note:
Two hours lecture and three hours lab per week.
Requisites:
Prerequisite: IMSE 250 and IMSE 251 and IMSE 530.
Typically Offered
Fall
KSIS Course Search
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IMSE 580 - Manufacturing Systems Design and Analysis Credits: 4
Comprehensive design and analysis of a manufacturing system: integration of the undergraduate industrial engineering and manufacturing engineering courses.
Note:
Two hours recitation and four hours lab a week.
Requisites:
Prerequisite or concurrent enrollment: 24 credit hours of IMSE 500 level and above courses.
Typically Offered
Spring
KSIS Course Search
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IMSE 591 - Senior Design Project I Credits: 2
Students organize themselves in teams, not exceeding five students in each team. Each team is responsible to establish a client. The teams select a general subject agreeable to the client, formulate a specific design project, and gather data and resources needed to support the project.
Note:
Two hours recitation a week.
Requisites:
Prerequisite or concurrent enrollment: 24 credit hours of IMSE 500 level and above courses.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 592 - Senior Design Project II Credits: 2
Continuation of IMSE 591 in which student teams complete engineering design projects formulated and approved in IMSE 591.
Note:
Two hours recitation a week.
Requisites:
Prerequisite: IMSE 591.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 602 - Topics in Industrial Engineering Credits: 1-18
Lectures on recent topics in industrial engineering.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 604 - Independent Study of Industrial Engineering Credits: 1-18
This course involves independent study at the introductory graduate level.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 605 - Advanced Industrial Management Credits: 3
Contemporary management philosophies and their impact on engineers and engineering managers. Topics include: planning, organizing, leading, and controlling.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 501 or MANGT 420.
Typically Offered
Fall
KSIS Course Search
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IMSE 610 - Occupational Safety Engineering Credits: 3
An overview of factors affecting safety in organizations, emphasizing analysis techniques and design strategies. Topics include occupational safety, accidents, fire protection, industrial hygiene, hazardous waste, toxicology, radiation safety, product liability and federal standards. A project involving a hazard analysis and the design of a solution for a field location is required.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 251.
Typically Offered
Spring, even years
KSIS Course Search
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IMSE 623 - Industrial Ergonomics Credits: 3
Process analysis and charting; principles of motion economy and ergonomics; work stations and environments; micromotion analysis and an introduction to standard data systems.
Note:
Two hours recitation and three hours lab a week.
Requisites:
Prerequisite: STAT 510.
Typically Offered
Fall
KSIS Course Search
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IMSE 625 - Work Environments Credits: 3
Basic structure and performance of the human, viewed as a component in information processing and control systems. Effect of visual, auditory, toxic, and thermal environments.
Note:
Two hours recitation and two hours lab a week.
Requisites:
Prerequisite: IMSE 251.
Typically Offered
Spring, in alternate years
KSIS Course Search
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IMSE 633 - Production Planning and Inventory Control Credits: 3
Principles, techniques, and applications of production planning and inventory control. The course covers strategic planning tools such as forecasting and aggregate planning as well as tactical tools such as inventory management and scheduling.
Note:
Three hours recitation
Requisites:
Prerequisite: IMSE 250. Prerequisite or concurrent enrollment: IMSE 560.
Typically Offered
Fall
KSIS Course Search
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IMSE 641 - Quality Engineering Credits: 3
An introduction to the modern practice of quality engineering concepts, systems, strategies, and tools to both manufacturing and service industries. Topics include advanced techniques related to statistical process control, international quality standards, quality data management, and automatic inspection.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: STAT 511.
Typically Offered
Spring
KSIS Course Search
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IMSE 643 - Industrial Simulation Credits: 3
Basic concepts of computer simulation modeling of manufacturing, production, service and other stochastic systems. Use of a commercial simulation software environment to build, analyze, verify and validate models. Use of models as a system design tool through statistical and optimization techniques.
Note:
Three hours recitation per week.
Requisites:
Prerequisite: IMSE computer programming elective (from approved Departmental list). Prerequisite or concurrent enrollment: STAT 511, IMSE 660.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 660 - Operations Research II Credits: 3
Continuation of IMSE 560. Topics include: integer programming, nonlinear programming, Markov chains, and queuing theory.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 560 and STAT 510.
Typically Offered
Spring
KSIS Course Search
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IMSE 662 - Computer Aided Manufacturing Credits: 3
Concepts in CAM, integrated control of machine tools and transport devices with production control. Concepts of CAM and automated assembly in small lot production environment.
Note:
Two hours lecture and three hours lab a week.
Requisites:
Prerequisite: IMSE 251 and CIS 209, or CIS 200, or ME 400.
Typically Offered
Fall
KSIS Course Search
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IMSE 664 - Additive Manufacturing Credits: 3
A study of current 3D printing or additive manufacturing technologies that convert a digital file into a physical object. Emphasis is on rapid prototyping involving materials, processes, techniques, and 3D printing machines. Capabilities and limitations of 3D printing technologies are included.
Note:
2 hours lecture 2 hours lab
Requisites:
Pre-requisite: ME 212
Typically Offered
Spring
KSIS Course Search
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IMSE 666 - Operations Research III Credits: 3
A continuation of IMSE 660. Covers more advanced aspects of LP and NLP. Introduces three new topics: normative theory of decision and games, dynamic programming and Markov decision systems.
Requisites:
Prerequisite: IMSE 660, IMSE 530 (or concurrent enrollment).
Typically Offered
Spring
KSIS Course Search
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IMSE 680 - Quantitative Problem Solving Techniques Credits: 3
Survey of decision making techniques. Topics covered include: Linear, Integer adn Nonlinear Programming, Network Flows and Stochastic Processes. A focus of the course will include modeling and the use of software to solve these problems.
Note:
Three hours of lecture a week.
Requisites:
Prerequisite: MATH 205.
KSIS Course Search
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IMSE 685 - Principles of Manufacturing Information Systems Credits: 3
Introduction to the theory and concepts of information for manufacturing. Design of manufacturing systems such as MRP, SFRS, CAD/CAM, etc. Concerns of integration and man-machine interface in manufacturing systems.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE computer programming elective (from approved Departmental list).
Prerequisite or concurrent enrollment: IMSE 633.
Typically Offered
Spring
KSIS Course Search
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IMSE 751 - Normative Theory of Decisions and Games Credits: 3
Bayes theorem, Bayesian estimators, utility, loss function and risk, minimax strategies, elementary game theory.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 511.
Typically Offered
Spring, in alternate years
KSIS Course Search
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IMSE 760 - Stochastic Calculus Financial Engineering Credits: 3
This course will serve as an introduction to the basic concepts and computing techniques of financial engineering and its real-life applications. These basics can be applied in many other aspects of Industrial Engineering used throughout stochastic processes, probability theory, system simulation, portfolio/risk management, and supply chain optimization.
Requisites:
Prerequisite: IMSE 530; IMSE 660; and CIS 209, or CIS 200, or ME 400.
Typically Offered
Fall
KSIS Course Search
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IMSE 780 - Methods of Operations Research Credits: 3
This course is intended to give an overview of OR at the graduate level. After this course, the student will have the general basic knowledge in OR and a better idea about the usefulness and interrelationships of the various subjects in O.R. Topics to be covered include the various optimization techniques, stochastic processes and optimization, and the various approaches in the treatment of uncertainty.
Note:
Three hours recitation per week.
Requisites:
Prerequisite: MATH 560 and STAT 510.
Typically Offered
Spring
KSIS Course Search
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IMSE 785 - Big Data Analytics Credits: 3
Topics include big data management, data architecture of hosting big data, big data retrieval languages, parallel computing methods, big data analytical methods, and data visualization.
Requisites:
Prerequisite: CIS 209; STAT 510 or STAT 350.
Typically Offered
Spring, on campus every other year; online every year
KSIS Course Search
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IMSE 802 - Advanced Topics in Industrial Engineering Credits: 1-18
Lectures on recent advanced topics in industrial engineering.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 804 - Advanced Independent Study in Industrial Engineering Credits: 1-18
This course involves independent study of recent advanced topics in industrial engineering.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 805 - Management of Research and Engineering Credits: 3
Engineering administration; organization factors in decision-making.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: IMSE 501 or MANGT 420.
Typically Offered
Fall
KSIS Course Search
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IMSE 806 - Engineering Project Management Credits: 3
Planning, scheduling, and controlling engineering projects. Includes determination of appropriate project team, cost/benefit analysis, PERT and CPM scheduling techniques, reporting, and use of computerized project management tools.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 530 and IMSE 501 or MANGT 420.
Typically Offered
Spring, on sufficient demand
KSIS Course Search
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IMSE 808 - Systems Engineering Fundamentals Credits: 3
Systems engineering is an interdisciplinary engineering management process used to develop an integrated, life-cycle balanced set of system solutions that satisfy customer needs. This course provides the fundamentals of a systems engineering approach to solving complex engineering systems problems. This course will address systems engineering processes and tools as they relate to the development and life cycle management of complex systems. Topics included in the course are analyzing customer’s needs, requirements development, systems design, development and integration, developing technical performance measures, system verification and managing cost, schedule, and risk in engineering tasks. This course will also introduce reliability, availability and maintainability concepts and their applicability with complex systems. This course is applicable to all engineering disciplines involved with complex engineering systems.
Requisites:
Prerequisite: 9 graduate credits from any engineering discipline, B.S. Engineering or Computer Science degree.
Typically Offered
On sufficient demand
KSIS Course Search
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IMSE 810 - Industrial Logistics Engineering Credits: 3
The course provides comprehensive coverage of supply chain logistics components and system issues, including control of the movement of goods and information, coordination of supply and demand in creation and maximization of time and place utility. Emphasis is given to integrating workflow modeling, control, and design concepts and performance evaluation of logistic activities such as transportation, inventory, warehousing, and information technology. The systems viewpoint is explored at the individual firm level and from the perspective of inter-firm relationships among participants in logistics supply chains. Recognition is also given to important interrelationships between logistics and production, marketing, and financial management.
Note:
Three hours recitation per week.
Requisites:
Prerequisite: IMSE 660, IMSE 680 or IMSE 780.
Typically Offered
Fall, even years
KSIS Course Search
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IMSE 811 - Advanced Production and Inventory Control Credits: 3
Analytical and mathematical methods of making decisions on production, inventories, human resources, and shipping in modern industrial plants.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: IMSE 633.
Typically Offered
Spring
KSIS Course Search
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IMSE 822 - Advanced Engineering Economy Credits: 3
This course expands on the principles of the fundamental engineering economics analysis. Emphasis is placed on quantification and evaluation of risk and uncertainty factors, effects of inflation and taxes, economic consequences of estimating models, utility theory, engineering capital equipment replacement analysis and decision-tree and multi-attribute decision models.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 530, or ME 560, or CE 680.
Typically Offered
Fall, on sufficient demand
KSIS Course Search
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IMSE 825 - Tribology in Manufacturing Credits: 3
An introduction to system approach to Tribology; Surface Topography; Physical, Chemical, and Geometric Nature of Surfaces; and the Mechanics of contact between surfaces. This course also investigates various theories of friction and wear; hydrodynamic; elastohydrodynamic, and boundary lubrication; frictional instabilities; rolling contact problems; and application of system methodology to tribological problems in engineering design and manufacturing.
Requisites:
Prerequisite: PHYS 214 and IMSE 563.
Typically Offered
On sufficient demand
KSIS Course Search
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IMSE 830 - Applied Fuzzy Set Theory Credits: 3
The emphasis will be on applicational aspects. Topics covered are elementary fuzzy set theory, fuzzy measure, possibility theory, fuzzy linear programming and other fuzzy optimization techniques, fuzzy linguistics and expert systems, fuzzy production and inventory control, and fuzzy operations research models.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 510.
Typically Offered
Fall
KSIS Course Search
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IMSE 841 - Advanced Topics in Quality Engineering Credits: 3
A survey of current advances in quality engineering. Includes both off-line and on-line quality engineering.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: STAT 704, STAT 705; IMSE 641 and CIS 209, or CIS 200, or ME 400.
Typically Offered
Fall, odd years
KSIS Course Search
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IMSE 842 - Reliability Theory Credits: 3
The mathematics of reliability theory. The hazard function. Calculation of failure density and mean life for series, parallel systems, and various types of standby systems. Hypotheses tests on mean life. Life testing with censoring.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 511.
Typically Offered
Fall
KSIS Course Search
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IMSE 850 - Ergonomics (Human Factors) Engineering Credits: 3
The design and analysis of applied experimental research on human behavior as applied to engineering systems. An experimental project.
Note:
Two hours recitation and three hours lab a week.
Requisites:
Prerequisite: STAT 702 or STAT 703.
Typically Offered
Fall
KSIS Course Search
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IMSE 865 - Simulation of Industrial Management Systems Credits: 3
Simulating industrial management systems on computers utilizing Monte Carlo techniques and simulation languages. Numerical methods related to simulation.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: IMSE 643.
Typically Offered
Spring
KSIS Course Search
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IMSE 866 - Applied Stochastic Processes Credits: 3
Survey of stochastic processes. Topics covered include: discrete and continuous Markov chains, random walks, queuing theory and renewal theory.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: STAT 510.
Typically Offered
Summer, even years
KSIS Course Search
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IMSE 867 - Stochastic Programming Credits: 3
Stochastic programming (SP) aims to determine optimal solutions in the presence of data uncertainty. The course covers two-stage stochastic linear programming, recourse, chance constraint optimization, multi-stage SP, stochastic integer programming, Benders decomposition, L-shaped method, heuristics, simulation-based (Monte Carlo simulation) methods, and bounds on optimal solutions. Numerous applications exist, and examples may be taken from agriculture planning, manufacturing, supply chain, reliability, cyber security, power grids or other systems.
Requisites:
IMSE 560 and STAT 510 or equivalent
Typically Offered
Fall
KSIS Course Search
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IMSE 868 - Manufacturing Processes for Semiconductor Materials and Devices Credits: 3
Research topics on manufacturing processes for semiconductor materials and devices. Processes covered include; crystal growing, slicing, edge profiling, lapping, wafer grinding, wet etching, polishing, cleaning, oxidation, lithography, dry etching, diffusion, metallization, CMP (Chemical-Mechanical Planarization), backside thinning, dicing, bonding, packaging, final testing.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 250 and IMSE 563.
Typically Offered
On sufficient demand
KSIS Course Search
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IMSE 871 - Advanced Topics in Computer Integrated Manufacturing Credits: 3
Modern issues of computerized manufacturing considering both hardware and software approaches and methods. Advanced concepts in intelligent machine programming and applications, group technology, computer aided process planning, and scheduling will be discussed. Research issues will be presented.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 633, IMSE 662 or equivalents.
Typically Offered
Spring
KSIS Course Search
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IMSE 872 - Industrial Forecasting Techniques and Applications Credits: 3
The problems of model construction for industrial forecasting. The application of least squares, regression, exponential smoothing, and adaptive fitting will be studied in solving industrial engineering problems.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 511 or STAT 705.
Typically Offered
Fall
KSIS Course Search
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IMSE 873 - Industrial Systems Analysis Credits: 1-18
Analysis and synthesis of automatic control systems with application to machines and processes and industrial management systems. A study of optimal control, stability, and sensibility of industrial management systems.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: Consent of instructor and IMSE 660.
Typically Offered
Spring
KSIS Course Search
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IMSE 881 - Linear Programming Credits: 3
Development of the theory of linear programming and related topics including simplex methods, duality theory, integer programming, transportation methods, and stochastic linear programming. Application to industrial problems and the use of computer solutions are emphasized.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: IMSE 560.
Typically Offered
Fall (Odd years on campus; distance every year)
KSIS Course Search
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IMSE 882 - Network Flows and Graph Theory Credits: 3
Survey of topics from Network Flows and Graph Theory with an emphasis on algorithmic analysis. The topics covered include: Complexity Analysis, Shortest Paths, Maximum Flows, Network Simplex, Minimum Spanning Trees, Matching, Planar Graphs, Colorings, Perfect Graphs and Heuristics.
Note:
Three hours lecture a week.
Typically Offered
Spring, odd years (on campus), every year (distance)
KSIS Course Search
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IMSE 884 - Integer Programming and Combinatorial Optimization Credits: 3
Solution techniques to optimization problems invloving integer variables. The topics covered include: single-and multiple-branching, implicit enumeration, polyhedral theory and cutting planes, mixed integer programs, unimodular matrices and matroids.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 660.
Typically Offered
Spring, even years
KSIS Course Search
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IMSE 885 - Advanced Manufacturing Information Systems Credits: 3
Survey of topics in Computer Integrated Manufacturing. Issues such as the Manufacturing Automation Protocol (MAP), representation of solids in CAD, storage and retrieval of such information are considered.
Note:
Three hours lecture a week.
Requisites:
Prerequisite: IMSE 685 or equivalent.
Typically Offered
Fall
KSIS Course Search
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IMSE 888 - Research Methods in Industrial Engineering Credits: 3
This course will provide students with effective methods to perform literature reviews, survey current solution methodologies, develop and evaluate research and present research results.
Requisites:
Prerequisite or concurrent enrollment: at least one of IMSE 780, IMSE 641, or IMSE 811.
Typically Offered
Spring
KSIS Course Search
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IMSE 889 - Applied Methods in Industrial Engineering Credits: 1
This class requires students to have at least 6 weeks of full-time work experience in a job related to Industrial Engineering.
Note:
This course can be taken only once by a graduate student.
Requisites:
Prerequisite: Approval of major professor and department head.
Typically Offered
Summer
KSIS Course Search
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IMSE 890 - Applied Methods in Industrial Engineering II Credits: 2
This class requires students to have at least 12 weeks of full-time work experience in a job related to Industrial Engineering.
Note:
This course can be taken only once by a graduate student.
Requisites:
Prerequisite: Approval of major professor and department head.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 892 - Graduate Seminar in Industrial Engineering Credits: 0
Presentation and discussion of topics of contemporary interest in industrial or manufacturing engineering. M.S. and Ph.D. candidates make one presentation.
Note:
One one-hour seminar meeting a week.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 898 - Master’s Report Credits: 1-18
Topics selected with approval of major professor and department head.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 899 - Master’s Thesis Credits: 1-18
Topics selected with approval of major professor and department head.
Typically Offered
Fall, Spring, Summer
KSIS Course Search
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IMSE 971 - Industrial Queuing Processes Credits: 3
Introduction to the queuing process and theory of queues; analysis of single and multistation queues; application to production, materials handling, inventory and maintenance systems.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 510.
Typically Offered
Fall, Spring
KSIS Course Search
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IMSE 976 - Scheduling Theory Credits: 3
Project scheduling, assembly line balancing, shop scheduling, basic structure, measures of performance, combinatorial and statistical aspects. Various approaches to the analysis of shop scheduling.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: Consent of instructor.
Typically Offered
Fall, Spring
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IMSE 982 - Nonlinear Programming Credits: 3
Study of nonlinear models and their solution. Topics covered are nonlinear programming including Kuhn-Tucker theory, quadratic programming, separable programming, geometric programming, gradient and search methods, quasilinearization, and invariant imbedding.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: STAT 510.
Typically Offered
Fall, Spring
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IMSE 990 - Advanced Topics in Operations Research Credits: 1-6
Study of topics related to operations research not covered in other courses. Selected according to the interests and needs of graduate students.
Note:
May be repeated.
Requisites:
Prerequisite: Consent of instructor.
Typically Offered
Fall, Spring, Summer
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IMSE 991 - Multiple Criteria Decision Making Credits: 3
Decision processes for problems involving multiple conflicting criteria; multiple attribute decision making; multiple objective decision making, and group decision making under multiple criteria. Various methods/approaches for different problems are discussed.
Note:
Three hours recitation a week.
Requisites:
Prerequisite: IMSE 560 and IMSE 874.
Typically Offered
Fall, Spring
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IMSE 999 - Dissertation Research Credits: 1-18
Topics selected with approval of major professor and department head.
Typically Offered
Fall, Spring, Summer
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