Ohio University
Graduate Catalog
Industrial and Systems Engineering
The Department of Industrial and Systems Engineering offers three degree options leading to a Master of Science degree: human factors engineering, applied operations research, and manufacturing and production systems. Other specialized study concentrations are available in a number of areas of faculty interest including engineering management, computer applications, artificial intelligence, systems simulation, stochastic systems, expert systems, management information systems, quality control and reliability, and engineering statistics.
The focus of graduate educational and research activities is on structuring the decision process, system analysis, and the design of complex systems that integrate technical, human, and economic resources within a variety of constraints and environments.
The option in human factors engineering has been developed for graduates intending to work in such areas as human-computer interaction analysis, human information acquisition, human information processing, human visibility and legibility research, human performance, work and living environment design, and industrial and traffic safety.
The operations research option is designed for those students wanting to specialize in the application of mathematical modeling to industrial or other organizations. This includes optimization modeling, queuing theory, and systems applications.
The manufacturing and production systems engineering option spans a broad spectrum of engineering topics, including computer-aided design (CAD); quality and concurrent engineering; computer-aided manufacturing (CAM); computer-integrated manufacturing (CIM); flexible manufacturing systems (FMS); robotics and automation manufacturing systems design; and intelligent systems. (Additionally, the department participates in the Integrated Engineering Ph.D. program, emphasizing intelligent systems engineering. For more information, see the Graduate Program Guide, available from the department.)
Descriptions outlining suggested core courses and electives for the options are available upon request. You are expected to use the core courses outlined in a given program as a guide, with the specific program designed jointly by you and your advisor. A plan of study is required and must be submitted to the ISE Graduate Committee for approval before the end of the first quarter of study.
Each of these options and other concentration areas may be taken with or without a thesis. The thesis option requires a minimum of 45 quarter hours including a maximum of six hours of thesis (ISE 695). The nonthesis option requires a minimum of 51 credit hours including a three-credit-hour scholarly project (lSE 694), a formal written report, a nonthesis committee, and formal defense. Certain undergraduate/graduate courses are required in the undergraduate Industrial and Systems Engineering Program. These graduate courses do not count toward M.S. degree credit. All full-time graduate students are expected to register for three successive quarters of ISE 630 (Seminar) beginning with their first quarter in residence. Up to six hours of independent study may be taken for degree credit in addition to ISE 694 or 695.
A maximum of 12 credit hours of elective graduate level courses may be taken outside the ISE Department or the university provided they are included in an approved plan of study. You also are required to complete at least one-third of your total required hours in graduate-only ISE classes, while the other two-thirds may be lSE graduate classes that are cross-listed with ISE undergraduate electives.
The department welcomes applications from engineering students and qualified students with a bachelor's degree in physical sciences, including mathematics and computer science. Each candidate is evaluated on previous academic record, work experience, and career goals. GRE scores are highly desirable, but not required. If you enter without an adequate background, you may be required to take additional courses, including calculus and differential equations, probability and statistics, experimental design, engineering economy, computer programming, inventory-production control, digital simulation, quality control, plant design, work design, system design, and human factors, depending on your degree of preparation.
International graduate students must take ET 501 (Technical Writing) or demonstrate proficiency before starting their thesis or nonthesis project. Graduate fellowships and graduate and research associateships are available for students with high grade-point averages. International students desiring a graduate associateship must pass a test of clarity of speech (SPEAK test) and normally are not eligible for a graduate appointment of any kind in their first quarter of study.
Equipment in the ISE Department includes computer-controlled devices to simulate automated industrial systems, robots, robot vision system, advanced microcomputer and computer systems, peripheral devices, software development lab, an instrumented research car with a TV driver-eye movement recording system, an ASL Model 1998 computer-controlled eye-view monitor system, photometric measurement systems, a coordinate measuring machine, work measurement and work design equipment, and Sun and other computer workstations.
Faculty
Industrial and Systems Engineering (ISE) Courses
501 Manufacturing Systems Design (4) Prereq: 330, 333, 440A. Introduction to current state-of-the-art and advanced manufacturing systems design concepts in a CIM environment and in a �global economic and marketing system.� Uses the �enterprise approach� in a �top down� system design approach to manufacturing system design.
502 Manufacturing Systems (4) Applications of industrial and systems engineering techniques, principles, practices, and methodologies as they relate to the operation, analysis, management, planning, and design of manufacturing systems.
503 Material Handling Systems Engineering (4) Provides an understanding of material handling engineering from a system design and application engineering point of view. Instruction in the engineering principles, design criteria operating parameters, performance requirements, equipment resources, and application engineering practices involved in the planning, design, and operation of materials handling systems for manufacturing, physical distribution, and government operations. A materials handling system design project is a required part of the course.
504 Applied Engineering Statistics (3)
Prereq: calculus. Introduction to efficient methods for data collection and analysis. Application of basic statistical tests, techniques, and experimental design to engineering and science data problem areas. 3 lec. (Not for degree credit for M.S., ISE.)
Y.
505 Engineering Statistics I (3)
Prereq: calculus. Applications of probability theory to engineering problems. Discrete and continuous probability distributions, moment generating functions, functions of random variables. (Not for degree credit for M.S., ISE.)
F, W; Y.
506 Engineering Statistics II (3)
Prereq: 505. Evaluation of numerous probability distributions for discrete and continuous random variables as useful experimental engineering tools. Includes multivariate distributions and hypothesis testing. (Not for degree credit for M.S., ISE.)
F, Sp; Y.
507 Engineering Statistics III (3)
Prereq: course in probability and statistics. Design and analysis of engineering experiments from linear statistical model point of view. Blocking designs, full and fractional factorial designs, analysis of variance, and introduction to response surface methodology. 3 lec. (Not for degree credit for M.S., ISE.)
F; Y.
514 Robotics in Manufacturing Systems Engineering (3) The purpose of this course is to provide the students an opportunity to learn and understand the application of industrial robots and their role in industrial and systems engineering. This course presents the relationships among product design, process control, robots, design of experiments, and flexible automation. In addition, the course emphasizes hands-on laboratory exercises.
515 Introduction to Systems Engineering (3)
Introduction to systems engineering concepts. Systems structure, open-loop and closed-loop systems, positive and negative feedback. Applications to production and inventory systems, population, and physical systems. Design project required. 3 lec. (Not for degree credit for M.S., ISE.)
W.
517 Analytical Foundations of Industrial and Systems Engineering (3)
Special analytical techniques introduced for solution of complex industrial and systems engineering problems. Calculus of finite differences, Fourier analysis, and use of transform techniques in linear system analysis; probability implications of transforms, and probability modeling. 3 lec.
F; Y.
522 Seminar on Occupational Safety and Health (3)
Historical development of worker's compensation and industrial health and safety; review of federal activities in occupational health and safety with focus on contemporary public policy and risk/benefit issues. Specific occupational health and safety issues are dealt with in seminar format.
D.
523 Seminar on Transportation Systems (4)
Transportation systems analysis, design, and related topics. Emphasis on industrial and systems engineering approaches to analysis and synthesis. Topic concentration varies from quarter to quarter.
D.
525 Probabilistic System Analysis (4)
Applied statistical techniques in selective design and evaluation of physical and nonphysical systems. Tolerances, errors, and variations in parameters of systems viewed in terms of probabilistic distributions and effects on output parameters. 3 lec, 2 lab.
D.
526 Microprocessor Applications (3)
Comparison and contrast of micro-, mini-, and mainframe computers; comparison of RISC and CICS microprocessors; numbering and arithmetic systems; microprocessor and microcomputer hardware organizations; assembly, procedural, and object-oriented high level languages; basic input/output and interfacing concepts; industrial data acquisition; process control and computer-integrated manufacturing concepts; graphics and industrial applications data processing; and database management for office use and business application.
F, W; Y.
527 Digital Computer Services I (3)
Prereq: C programming. Overview of manufacturing tools, techniques, and applications. Database architecture; internal storage methods; structural query language (SQL); normalization; manufacturing entities and relations.
D.
528 Digital Computer Systems II (3)
Continuation of 527. See 527 for description.
D.
530 Engineering Economy (3)
Economic analysis of engineering projects. Intended to provide both basic theory and practical experience in comparing alternatives for capital expenditures, alternatives for providing needed production or services, and alternatives for income generation. 3 lec. (Not for degree credit for M.S., ISE.)
F, W, S; Y.
532 Inventory and Manufacturing Control I (3)
Design of inventory and manufacturing control systems. Forecasting, continuous and periodic review inventory systems. Relationship between production schedules and inventory. Production scheduling systems. Sequencing models, dispatching rules. 3 lec. (Not for degree credit for M.S., ISE.)
F; Y.
533 Digital Computer Simulation (3)
Simulation of industrial problems using digital computers. Stresses user-oriented programs. Applications include use of library routines and simulation languages such as SIMAV and GPSS. Projects involving design of simulation programs required. 3 lec, 2 lab. (Not for degree credit for M.S., ISE.)
W; Y.
534 Network Analysis and Scheduling (3) Engineering project planning using such techniques as PERT and critical path method; shortest route; maximal flow; minimal spanning tree; flow graphs; GERT; and other network models. 3 lec.
535 Quality Control and Reliability (3)
Application of statistics to control of quality and reliability in products and services. Design of acceptance sampling and process control systems, including attention to inspection and test methods. Design and implementation of quality assurance programs, including nonstatistical dimension of quality systems. 3 lec. (Not for degree credit for M.S., ISE.)
W; Y.
536 Project Management (3)
Development and utilization of network techniques to schedule activities, develop financial budgets, allocate resources, and control progress and costs of practical projects. Students introduced to use of available computer programs that generate project schedules. 3 lec.
D.
537 Modeling and Analysis of Computer Systems (5)
Computer systems are characterized by hardware, software, and operating environments so such systems can be evaluated. Models of portion or function of batch, time sharing, or real-time computer systems developed and analyzed. Simulation, queuing, scheduling methods, and probability and statistics used as tools. 5 lec.
D.
539 Information Systems Engineering (3)
Prereq: C programming. Design of information systems including databases, displays, and the automatic storage, retrieval, and transmission of data.
D.
540A Industrial Plant Design I (3)
Prereq: 333, 445A. Introduction to two-quarter program in which students design a manufacturing facility. First quarter topics include product and process analysis, plant size, layout and location, building design, estimation of production time for each operation, production scheduling, and inventory control. (Not for degree credit for M.S., ISE.)
W; Y.
540B Industrial Plant Design II (3)
Prereq: 540A. Continuation of 540A. (Not for degree credit for M.S., ISE.)
Sp; Y.
541 Introduction to Operations Research (3)
Basic methodology of operations research. Application and mathematical structure of linear, integrated, and dynamic programming; queuing theory; and other modeling techniques. (Not for degree credit for M.S., ISE.)
F; Y.
542 Inventory and Manufacturing Control II (3)
Branch and bound scheduling algorithms, horizon planning, control of integrated production, inventory and workforce systems, and linear decision rules. 3 lec.
W; Y.
544 Applications of Mathematical Programming (3)
Linear programming theory and practice. Topics include simplex method, two-phase method, duality theory, and sensitivity analysis. 3 lec.
Sp; D.
545 Systems Design (3)
Individual or small-group system design project. (Not for degree credit for M.S., ISE.)
W; Y.
546 Design of Maintenance Systems (3) Provides a working knowledge of maintenance systems and the ability to design a maintenance system.
547 Work Physiology and Occupational Biomechanics (4) An introduction to the general theory and methodologies involved in the applied study of work physiology and occupational biomechanics. The structural and functional design of the human body is studied to determine its implications for the design of physical work, tools, and the workplace itself. After basic knowledge is acquired, applications of the material to classification of work, manual materials handling, tool design, workplace design, and worker selection and training are considered. Finally, selected environmental conditions which alter performance (e.g., vibration, altitude, pressure variations) are discussed.
548 Human-Machine Systems Engineering (3)
Role of operator as subsystem in human-machine systems. Design principles for information displays, equipment controls, workplace environments, and life support systems. Design project required. 3 lec. (Not for degree credit for M.S., ISE.)
Sp; Y.
549 Cognitive Engineering (4) Addresses in detail human capabilities/limitations in information processing, learning, perception and attention, and applications of this knowledge to the analysis and design of human/machine interfaces in human/machine systems such as cockpits, vehicles, process control centers, and VDT workstations.
551 Human-Machine Systems Engineering Design (3)
Effects of physical environmental stressors on human in human-machine systems examined and appropriate countermeasures designed. Stressors include heat, cold, noise, vibration, lighting, radiation. Design project required. 2 lec, 2 lab.
D.
552 Behavior Systems Engineering Research (3) Research methods and findings in behavior systems research. Individual research project on selected behavior systems engineering problem.
553 Information in Human-Machine Systems Engineering (3)
Role of information acquisition and processing examined. Eye scanning behavior emphasized, analysis of stimulus-response, input-output operations in information transmittal. Human factors experimentation and design project required. 2 lec, 2 lab.
D.
554 Advanced Problems in Human-Machine Systems Engineering (3)
Analytic and design consideration of complex human-machine systems. Human factors experimentation and/or design project required. 2 lec, 2 lab.
D.
559 Individual Research Problems in Human-Machine Systems Engineering (3) Y.
561 Fundamentals of Queuing Theory (3)
Prereq: 517. Queuing theory and its applications. Single and multiple channels with various system parameters and queue disciplines. Both steady state and transient conditions investigated. Real-world data collection required. 3 lec.
Sp; Y.
562 Fundamentals of Dynamic Programming (3)
Prereq: course in probability. Theory and application of dynamic programming to discrete and continuous multistage processors. Principle of optimality; forward and backward recursion; state and decision inversion; converging and diverging branch systems; feed-forward and feedback loops; computational algorithms and programs; stochastic dynamic programming. 3 lec.
D; Y.
563 Fundamentals of Non-Linear Programming (3)
Prereq: 544. Theory and application of integer programming, convex programming, geometric programming, gradient search methods.
D.
564 Reliability in Design (3)
Application of reliability theory to equipment or facilities design. Design of testing systems and procedures for effective reliability measurement and prediction. Analysis of overall system reliability as function of component reliability. 3 lec.
D.
565 Information Systems Design (3)
Design and control of information flow in organizations. Information storage and retrieval by data processing equipment. 3 lec.
D.
570 Fundamentals of Systems Theory and Methodology I (3)
Topics in systems philosophy, methodology, and viewpoint and their application to practical systems, systems design process, criteria selection, and evaluation; experiments for determining system parameters, interdependencies, and constraints. 3 lec.
D.
571 Fundamentals of Systems Theory and Methodology II (3)
Prereq: 570. Continuation of 570. See 570 for description.
D.
583 Work Design (3)
Prereq: 505. Design of work systems and measurement of work. Topics include job methods, operation analysis, charting techniques and schematic models, stop-watch time study, work sampling, predetermined time systems, standard data, incentive wage systems, and learning curves. 3 lec, 2 lab. (Not for degree credit for M.S., ISE.)
F; Y.
589 Special Investigations (1-6) F, W, Sp, Su; Y.
590 Advanced Problems in Computer Application (1-6)
Special investigations of advanced systems and industrial engineering problems involving use of digital or analog computers.
F, W, Sp, Su; Y.
630 Seminar in Industrial and Systems Engineering (1)
Current topics and new developments in industrial and systems engineering. Required of all ISE graduate students each quarter until three credit hours are earned.
F, W, Sp; Y.
632 Seminar on the Control of Inventory and Manufacturing Systems (3) Advanced inventory control, scheduling, and forecasting techniques. Critical review of current literature on inventory and manufacturing control including advanced production scheduling and forecasting techniques. Box-Jenkins Methodology. 3 lec.
635 Seminar in Systems Applications (3)
Prereq: 515. Topics of general current interest and/or particular interest. In-depth discussion of topics from lecture courses or current research including techniques for selection and decision making.
D.
637 Seminar in Computer Systems (1-3)
Analytic examination of selected topics in computer system planning, design, and evaluation. Presentation of selected papers or student research, with class participation in constructive discussion. Representatives from government, industry, or other educational institutions invited to lead discussions on topics of current interest.
D.
640 Facilities Layout and Location (3) Prereq: 440A. Construction and improvement algorithms for discrete layout problems. Math programming formulations for continuous layout problems; planar and network location models. Design of linear, nonlinear, quadratic, and network programming applications. Analysis of trade-offs between model realism and solvability. Design project required.
642 Warehouse and Distribution Systems Design (4) Quantitative and operational approach to the design of the total receiving, storage, and retrieval system including packaging, palletizing, storage, material handling, order picking, shipping, facility sizing and layout, information systems, and operating policy.
681 Research (1-12) F, W, Sp, Su; Y.
689 Advanced Topics in Industrial and Systems Engineering (1-6)
Readings and lectures.
D.
694 Nonthesis Independent Research (3) F, W, Sp, Su; Y.
695 Thesis (1-12) F, W, Sp, Su; Y.
708 Quality Systems (4) Prereq: applied stats. Modern quality systems concepts of Total Quality Control (TQC), Total Quality Management (TQM), and Quality Function Deployment (QFD), etc., with an emphasis on "quality by design." Includes "Taguchi Methods" for robust product and process design and western experimental design methodology.
709 Intelligent Engineering Systems (4) In-depth study of techniques available in computer technology and human-machine systems to aid in the analysis of decision-making situations using expert systems technology.
710 Genetic Algorithms in Manufacturing (3) Genetic algorithms are search algorithms based on the mechanics of natural selection and natural genetics operators such as crossover and mutation. In this course, genetic algorithms and evolutionary computation concepts will be presented. Their applications to engineering problems in manufacturing, design, and regression will be emphasized. In addition, their connections to other artificial intelligence paradigms, such as fuzzy logic and neural networks, will be introduced (i.e., soft computing).
726 Artificial Neural Networks Using Operations Research Techniques (3) This course offers in-depth coverage of the latest developments in artificial neural networks using operations research techniques. While the course will concentrate most heavily on gradient-descent based neural networks, dynamic programming and numerical techniques will also be described. The utilization of operations research techniques create powerful hybrids that can improve the learning capabilities and decision-making skills of artificial neural networks.
732 Seminar in the Control of Inventory and Manufacturing Systems (3) Prereq: 532 or equiv. Critical review of current literature on inventory manufacturing control. Presentation of selected papers, with class participation in constructive critique. Related research within department included. Representatives of industry invited to present their control systems for critique.
733 Advanced Systems Simulation (3) Advanced discrete event simulation modeling. Modeling, design, statistical analysis, and optimization of large scale systems. Programming and comparison of simulators, simulation languages, and object-oriented simulation tools.
737 Computer Systems Seminar (1-3) Prereq: 528. Analytic examination of selected topics in computer system planning, design, and evaluation. Presentation of selected papers or student research, with class participation in constructive discussion. Representatives from government, industry, or other educational institutions are invited to lead discussions on topics of current interest.
753 Behavioral Communication Systems in Engineering Industry (3) Advanced behavioral systems analysis of transmission of meaning in communications systems. Schematic analysis of stimulus-response, input-output operations in information transmittal. 3 lec.
761 Operations Research I (3) Prereq: 541. Advanced queuing theory and its applications. Single and multiple channels with various system parameters and queue disciplines. Both steady state and transient conditions are investigated.
762 Operations Research II (3) Advanced topics in dynamic programming, network flow, theory of games, and Markov processes.
763 Operations Research III (3) Advanced topics in integer programming, quadratic programming, convex programming, and other nonlinear programming subjects. Applications of Kuhn-Tucker conditions.
772 Optimization of Complex Engineering Systems I (3) Advanced techniques for design and analysis of large-scale engineering systems. Functional analyses, information systems, large-scale programming, and network algorithms.
773 Optimization of Complex Engineering Systems II (3) Prereq: 772. Continuation of 772.
790 Special Topics in Industrial and Systems Engineering (1-6) Course content and structure (lecture, lab, or combination) will be determined at the discretion of the instructor. Examples include artificial neural networks in manufacturing, artificial intelligence in manufacturing system design, advanced manufacturing database architecture, and evolutionary computation in job shop scheduling.
891 Special Investigations in Industrial and Systems Engineering (1-6) Course content is determined at the discretion of the instructor with an emphasis on individual study.
University Publications and the Computer Services Center revised this file ( https://www.ohio.edu/~gcat/95-97/areas/engineer/ise.html
) April 13, 1998.
Please e-mail comments or suggestions to " gcat@www.ohiou.edu ."