Professor Milton L. Smith, Interim Chairperson.
Horn Professor Emeritus Dudek; Horn Professor Ayoub; Professors Ramsey, J. Smith, and Zhang; Associate Professors Beruvides, Kobza, and Liman; Assistant Professors Sirinterlikci and Yang.
The department offers programs of study and research leading to the following degrees: INDUSTRIAL ENGINEERING, Master of Science in Industrial Engineering and Doctor of Philosophy; SYSTEMS AND ENGINEERING MANAGEMENT, Master of Science in Systems and Engineering Management.
I. Ergonomics and Human Factors Engineeringoccupational biomechanics, work physiology, industrial ergonomics, environmental hygiene, cognitive engineering, human performance, human computer interaction, and occupational safety.
II. Manufacturing and Quality Assurancemanufacturing engineering and design, computer integrated manufacturing/CAD/CAM, process analysis and economics, automated manufacturing and process planning, programmable control systems, reliability and maintainability, on-line and off-line quality assurance, and total quality assurance.
III. Operations Research and Engineering Managementsimulation modeling, scheduling and sequencing, just-in-time production systems, inventory and production control, linear and nonlinear programming, network analysis, artificial intelligence and expert systems, and productivity management.
With the counsel of a graduate advisor, students are expected to design individualized academic programs. Programs will incorporate courses taken in each of the three areas listed above. The course selection may include a minor in an area outside industrial engineering. The master's level program consists of two options: (1) a 30-hour thesis option, including 6 credit hours of thesis research, and (2) a 36-hour nonthesis option. Details regarding admission and degree requirements are available from the department.
Courses in Industrial Engineering. (IE)
5301. Ergonomics and Design (3:2:3). Prerequisite: Consent of instructor. Functional anatomy and physiology of the musculoskeletal system and their applications in work design. Introduction to work physiology, kinesiology, and anthropometry and their applications.
5302. Environmental Ergonomics (3:2:3). Prerequisite: Consent of instructor. Evaluation, measurement, and control of the physical environment. Environments considered include: heat, cold, noise, vibration, light, radiation, and air contaminants.
5303. Work Physiology (3:2:3). Prerequisite: Consent of instructor. Study of cardiovascular, pulmonary, and muscular responses to work, including energy costs of work endurance, fatigue, physical work capacity, and physiological modeling.
5304. Occupational Biomechanics (3:2:3). Prerequisite: Consent of instructor. Historical development and theoretical fundamentals of body mechanics. The body link system and kinematic and kinetic aspects of body movement. Applications to work systems.
5305. Cognitive Engineering (3:3:0). Prerequisite: Consent of instructor. Implications of human perceptual, cognitive, and psycho-motor capabilities for the design of systems for effective human use and control.
5306. Safety Engineering (3:3:0). Prerequisite: Consent of instructor. Loss prevention principles, practice, and regulations; accident factors, models, costs, and analysis; systems safety; product safety; safety and health related workplace hazards.
5307. Loss Assessment and Control (3:3:0). Prerequisite: IE 4363 or IE 5306 or consent of instructor. Advanced topics in worker safety and health; hazard recognition and analysis; system safety techniques and applications; loss assessment and control.
5309. Human Factors in Engineering and Design (3:3:0). Introduction to human factors issues in the design of human-machine systems. Design of workstations, controls, and displays, human-computer interfaces, and the environment in industrial systems.
5311. Principles of Optimization (3:3:0). Prerequisite: Consent of instructor. Linear optimization models: theory and application. Includes simplex, revised simplex, dual, and primal-dual algorithms, sensitivity and parametric analysis, duality theory, decomposition, linear complementarity problem, assignment and transportation problems, and Karmarkar's algorithm.
5312. Queueing Theory (3:3:0). Prerequisite: Consent of instructor. Modeling and analysis of simple and complex service systems. Includes single and multiple server Markov queues, queues with general arrival processes and service times, bulk and batch queues, priority queues, and queueing networks.
5314. Multistage Decision Processes (3:3:0). Prerequisite: IE 3311 or 5311 or consent of instructor. Discrete dynamic programming: Knapsack problem, path problems, equipment replacement, capacity expansion, inventory, partitioning problems, sequencing problems; introduction to continuous dynamic programming; Markov decision processes.
5320. Systems Theory (3:3:0). Examines theoretical foundations of general systems theory applied to engineering and organizational enterprises addressing issues of systems efficiency, effectiveness, productivity, economics, innovation, quality, and QWL.
5321. Decision Theory and Management Science (3:3:0). Prerequisite: Consent of instructor. Philosophy, theory, and practice of management; decision theory and social responsibility.
5322. Industrial Cost Analysis (3:3:0). Cost analysis and/or control of industrial enterprises. Economic budgeting, planning, decision making, and financial analysis for engineering and engineering management.
5323. The Engineering Management Environment (3:3:0). Management of research and development; the legal, financial, and professional interrelationships of engineers and their environment in relation to the modern production organization.
5325. Productivity and Performance Improvement in Organizations (3:3:0). Productivity and performance improvement (including efficiency, effectiveness, quality, QWL, innovation, profitability, and budgetability) theories, techniques, analysis, and applications for industrial systems.
5327. Inventory Systems (3:3:0). Prerequisite: IE 3341 or consent of instructor. Deterministic and stochastic systems with static and dynamic models; just-in-time systems. Forecasting techniques, MRP, and case studies in inventory systems management.
5328. Activity Scheduling (3:3:0). Prerequisite: IE 3371 or consent of instructor. Deterministic sequencing of single machine, parallel machines, flow shops, and job shops. Theory of complexity. Optimization and heuristic algorithms for combinatorial sequence generation.
5331. Theoretical Studies in Advanced Industrial Engineering Topics (3). Prerequisite: Consent of instructor and departmental approval. Individual theoretical study of advanced topic selected on the basis of departmental recommendation. May be repeated.
5332. Experimental Investigation in Advanced Industrial Engineering Topics (3). Prerequisite: Consent of instructor and departmental approval. Individual experimental study of an advanced topic selected on the basis of departmental recommendation. May be repeated.
5340. Robust Design and Optimization for Systems (3:3:0). Prerequisite: Consent of instructor. Experimental, analytical, and optimization approaches for the design and operation of integrated systems emphasizing quality and resource allocation concepts, strategies, and tools.
5342. Design of Experiments (3:3:0). Prerequisite: IE 3341 or 5381 or equivalent. Single factor, factorial, blocked, split plot designs. Means comparisons, contrasts, estimates of variation. Confounding and fractional factorials.
5344. Statistical Data Analysis (3:3:0). Prerequisite: IE 3341 or 5381 or equivalent Exploratory data analysis, graphical displays and analysis. Linear and nonlinear regression, response surfaces. Selected mainframe and microcomputer packages.
5345. Reliability Theory (3:3:0). Prerequisite: IE 3341 or 5381 or equivalent. System level reliability, redundancy, maintainability, and availability analysis and modeling. Life testing, acceleration, parametric, and nonparametric models.
5346. Total Quality Systems (3:3:0). Prerequisite: Consent of instructor. Total quality philosophy, customer definition and demands, quality strategies, planning and integration, benchmarking, team structures and interaction, supplier qualification, and quality audits.
5351. Advanced Manufacturing Processes (3:2:3). Prerequisite: Consent of instructor. Advanced topics in manufacturing materials and processes, including metallurgical considerations, nonmetallic materials, deformation processes, metal removal theory, and process economics.
5352. Advanced Manufacturing Engineering (3:3:0). Prerequisite: Consent of instructor. Advanced topics in manufacturing engineering, including manufacturing systems, production integration, cellular manufacturing, group technology, intelligent manufacturing, concurrent engineering, and life-cycle product design engineering.
5353. Quality Assurance (3:3:0). Prerequisite: IE 3343 or 5381 or equivalent. Quality definition and requirements, on-line and off-line quality assurance strategies and tools including quality function deployment, robust design and mistake proofing. Emphasis on experimental methods and quantitative analysis.
5354. Computer Control in Manufacturing (3:3:0). Prerequisite: Consent of instructor. Theory and application of computer control of machines and processes used in manufacturing systems. Relevant issues on the analysis, design, and implementation of computer controlled systems.
5355. Computer-Aided Manufacturing (3:3:0). Prerequisite: Consent of instructor. Computer usage in manufacturing systems, CAD/CAM, numerical control, CNC, DNC, computer-aided process planning, manufacturing engineering database systems, industrial robot applications, flexible manufacturing systems, and integration of CAD and CAM.
5362. Advanced Economics of Manufacturing Systems (3:3:0). Prerequisite: IE 3301 and 3341 or equivalent. Sensitivity of engineering economic factors; Monte Carlo approaches for sensitivity analysis. Economic performance measures, analysis and modeling for automated manufacturing systems.
5366. Simulation Models for Operations Analysis (3:3:0). Prerequisite: Any scientific programming language. Application of simulation techniques to analysis of large scale operations. Production-distribution models; model construction; validation of simulation models; limitations of simulation techniques; programming with simulation languages.
5367. Statistical Analysis for Digital Simulation (3:3:0). Prerequisite: IE 5366 or proficiency in a current discrete event simulation language. Generation of random variants. Statistical tests for randomness in random number streams. Collection and analysis of data for input parameters and distributions. Detection and removal of transients in simulation model data. Computation of variance of simulation model output; variance reduction techniques.
5382. Design and Control for Production (3:3:0). Prerequisite: Consent of instructor. Work analysis; process flow, work methods, workplace layout. Economic analysis; discounted cash flow, depreciation, economic justification. Operations research; optimization and linear programming.
6000. Master's Thesis (V1-6).
7000. Research (V1-12).
8000. Doctor's Dissertation (V1-12).
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LAST UPDATE: 3-9-01