| source University of Illinois at Urbana-Champaign (X) |
level |
department Industrial Engineering (X) |
May be repeated.
Score: 10.34488 Details | Listing | Web page
Individual investigations of any phase of Industrial Engineering. May be repeated in separate terms. Prerequisite: Consent of instructor.
Score: 10.34488 Details | Listing | Web page
The nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; introduction to control charts, acceptance sampling, and measurement theory. Credit is not given for both
Score: 10.34488 Details | Listing | Web page
Introduction to deterministic and stochastic models in operations research. Linear programming, integer programming, network models and nonlinear programming, review of basic probability, Bernoulli processes, Markov chains, Markov processes, and queuing theory. Credit is not given for both
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Contemporary concepts and methods for quality and productivity design and improvement; philosophies of Deming, Taguchi, and others leading the quality management and engineering movement; Shewhart's methods for statistical process control; process capability analysis; statistical methods for tolerance assessment; process control methods employing attribute data; introduction to design of experiments, concepts, and methods. Prerequisite:
Score: 10.34488 Details | Listing | Web page
Same as
Score: 10.34488 Details | Listing | Web page
Facility planning, plant layout design, and materials handling analysis; determination of facilities requirements, site selection, materials flow, use of analytical and computerized techniques including simulation, and applications to several areas such as manufacturing, warehousing, and office planning. Prerequisite:
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The scope of production systems and the activities involved in their design, establishment, management, operation, and maintenance; mathematical and computer models for planning and control of facilities, human resources, projects, products, material, and information in production systems. Prerequisite:
Score: 10.34488 Details | Listing | Web page
Series of lectures by faculty and invited authorities from the profession concerning the ethics and practices of industrial engineering in their relationship to other fields of engineering, economics, and the problems of society. Approved for S/U grading only.
Score: 10.34488 Details | Listing | Web page
Individual investigations or studies of any phase of Industrial Engineering. May be repeated in separate terms. Prerequisite: Consent of instructor.
Score: 10.34488 Details | Listing | Web page
Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. May be repeated in the same or separate terms if topics vary.
Score: 10.34488 Details | Listing | Web page
Concepts and methods of design of experiments for quality design, improvement and control; simple comparative experiments, including concepts of randomization and blocking, and analysis of variance techniques; factorial and fractional factorial designs; Taguchi's concepts and methods; second-order designs, response surface methodology. All topics are treated through engineering applications and case studies. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite:
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Modeling and analysis of stochastic processes. Transient and steady-state behavior of continuous-time Markov chains; renewal processes; models of queuing systems (birth-and-death models, embedded-Markov-chain models, queuing networks); reliability models; inventory models. Familiarity with discrete-time Markov chains, Poisson processes, and birth-and-death processes is assumed. Same as
Score: 10.34488 Details | Listing | Web page
Practical methods of optimization of large-scale linear systems including extreme point algorithms, duality theory, parametric linear programming, generalized upper bounding technique, price-directive and resource-directive decomposition techniques, Lagrangian duality, Karmarkar's algorithm, applications in engineering systems and use of state-of-the-art computer codes. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite:
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Introduction to the use of operations research techniques to problems in manufacturing and distribution. Single and multi-stage lot sizing problems, scheduling and sequencing problems, and performance evaluation of manufacturing systems. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite:
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Introduction to the use of discrete-event simulation in the modeling and analysis of complex systems using a simulation package. Components of simulation software, including data structures and event-list processing; verification and validation of simulation models; input modeling, including selection of probability distributions and random variate generation; statistical analysis of output data. Same as
Score: 10.34488 Details | Listing | Web page
Introduction to the theory and practice of financial engineering: basics of derivative securities and risk management; Markowitz portfolio theory and capital asset pricing model; interest rate and bonds; forward and futures contracts, hedging using futures contracts; option contracts and arbitrage relationship; binomial model, no-arbitrage pricing, risk-neutral pricing, and American options pricing; Brownian motion, Black-Scholes-Merton model, delta hedging, Greek letters, implied volatility, and volatility smile. 3 undergraduate hours. 4 graduate hours. Prerequisite:
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Introduction to total quality systems for planning, developing, and manufacturing world-class products. Covers the economic foundations of total quality. Product value, cost, pricing, environmental quality, activity-based costing, design for assembly, organization structure, lead time, innovation, Taguchi methods, simulation-based significance testing, Strategic Quality Deployment, statistical process control, and conjoint analysis. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite:
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Quality Engineering principles and the Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) process. Application of concepts and methods of statistical process control, designed experiments, and measurement systems analysis to cases of quality and productivity improvement; application of the fundamentals of quality engineering and the Six Sigma to areas of produce development, service enterprise, and manufacturing processes. Prerequisite:
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Biomechanical concepts and principles that underlie manual work. Contemporary tools and methods for measuring human physical attributes, evaluating human mechanical capabilities, and modeling human musculoskeletal system or subsystems. Applications of concepts, principles, data, and models to the design of work situations for the purposes of improving human performance and preventing musculoskeletal traumas and disorders. Prerequisite:
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Analysis and modeling of human-machine interaction in large-scale dynamic systems, development of graphical user interface and interactive real-time simulation environments, and human performance evaluation. Utilizes Motif-based user interfaces and the C++ object-oriented programming language. Students work in teams to design, implement, and evaluate graphical interactive simulation environments for complex engineering systems such as manufacturing systems. Same as
Score: 10.34488 Details | Listing | Web page
Industrial accident prevention; safe plant layout; safety in maintenance; boilers and pressure vessels; design and application of machine guards; material handling and storage; hand and power tools; welding hazards; electrical hazards; flammable liquids and fire protection; industrial health engineering; toxic materials. 3 undergraduate hours. 3 or 4 graduate hours.
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Same as
Score: 10.34488 Details | Listing | Web page
Same as
Score: 10.34488 Details | Listing | Web page
Students are assigned an actual, real world design problem for which they must develop, evaluate, and recommend alternative solutions and satisfy realistic constraints that include most of the following considerations: economic; environmental; sustainability; manufacturability; ethical; health and safety; social; political. 3 undergraduate hours. No graduate credit. Prerequisite: Concurrent enrollment in no more than two required IE courses; completion of all other required courses.
Score: 10.34488 Details | Listing | Web page