Master of Science in Industrial Engineering
With Electives in Enterprise Engineering
IE Electives:
[Traditional Industrial Engineering]
[Manufacturing]
[Logistics]
[Enterprise Engineering]
[Quantitative Methods]
[Engineering Management]
[Human Factors]
The enterprise systems electives are designed to equip students with the necessary skills and understanding required to succeed in the dynamic world of Enterprise Systems and Consulting.
The enterprise is a complex system of people, processes, and technology designed to accomplish organizational goals. Enterprise systems engineering is the body of knowledge, principles, and practices having to do with the analysis, design, implementation, and operation of the enterprise. The enterprise may include multiple companies participating in a supply chain. In a continually changing and competitive environment, the enterprise must be “engineered” through the use of engineering methods and tools to better accomplish enterprise objectives.
Each student must complete the Industrial Engineering core and nine hours of Industrial Engineering applications. The enterprise systems electives listed or other electives as approved by the graduate advisor are used to complete the 36-hour MSIE program.
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Enterprise Electives |
IE 5303 - QUALITY SYSTEMS: Principles and practices of industrial quality control. Topics include the Deming philosophy, process improvements, statistical process control, process capability analysis and product acceptance. Prerequisite: IE 5305 or consent of instructor. |
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IE 5322 - SIMULATION AND OPTIMIZATION: An in-depth study of discrete event simulation theory and practice. Optimization and search techniques used in conjunction with simulation experiments are introduced. A commercial simulation software application is used. Prerequisite: IE 5317 or equivalent. . |
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IE 5320 - ENTERPRISE ENGINEERING METHODS: A survey of enterprise engineering methods. Topics include system development methodology, discussion of enterprise architectures, activity modeling, business modeling, activity-based performance analysis, simulation, and process improvement. Prerequisite: Graduate standing. |
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IE 5321 - ENTERPRISE ANALYSIS AND DESIGN: An in-depth study of techniques useful for the analysis and design of the manufacturing enterprise. This course presents an advanced process description technique that is used, with simulation and activity based costing, to facilitate analysis and design. Prerequisites: IE 5320. |
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IE 6301 - ENTERPRISE ARCHITECTURES AND FRAMEWORKS: A survey of enterprise architectures and analysis frameworks that have been proposed for the integration of large complex enterprise systems. Emphasis is placed on state-of-the-art approaches. Prerequisite: IE 5320. |
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IE 6305 - ENGINEERING MANAGEMENT I:The management of the engineering function in high-technology industry with principal emphasis on the historical development of industrial management principles, decision-making and planning. Prerequisite: Graduate standing. |
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IE 6306 - ENGINEERING MANAGEMENT II: The management of the engineering function in high-technology industry with principal emphasis on human resources and staffing, directing and leading, and controlling. Prerequisite: IE 6305. |
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IE Core |
IE 5301 - ADVANCED OPERATIONS RESEARCH: A survey of quantitative methods to develop modeling and decision-making skills. Topics include z-transforms and difference equations, Markov Chains, decision analysis techniques, goal programming, game theory, queuing theory and nonlinear programming. Prerequisites: Both IE 3301 and IE 3315 OR IE 5317 or equivalent. |
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IE 5304 - ADVANCED ENGINEERING ECONOMY: Analysis of capital investments in engineering and technical projects. Topics include decision analysis methods, cash flows, revenue requirements, activity-based analysis, multi-attribute decisions, probabilistic analysis and sensitivity/risk analysis. Prerequisite: graduate standing. |
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IE 5318 - APPLIED REGRESSION ANALYSIS: An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, and robust regression. Prerequisite: IE 3301 or IE 5317 or equivalent. |
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IE Applications (Pick three) |
IE 5303 - QUALITY SYSTEMS: Principles and practices of industrial quality control. Topics include the Deming philosophy, process improvements, statistical process control, process capability analysis and product acceptance. Prerequisite: IE 3301, or IE 5317, or equivalent. |
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IE 5322 - SIMULATION AND OPTIMIZATION: An in-depth study of discrete event simulation theory and practice. Optimization and search techniques used in conjunction with simulation experiments are introduced. A commercial simulation software application is used. Prerequisite: IE 5317 or equivalent. |
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IE 5329 - PRODUCTION AND INVENTORY CONTROL SYSTEMS: The fundamentals of production and inventory control systems. The economic impacts of fluctuating demand, supply availability and production rates are examined. Prerequisite: graduate standing. |
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IE 5338 - HUMAN ENGINEERING: Human structural, physiological, psychological, and cognitive capacities and limitations in the workplace, and their effects on the design of work systems to enhance productivity, and maintain health and safety. Prerequisite: IE 3301 or equivalent, or consent of instructor. |
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IE 5342 - METRICS AND MEASUREMENTS: Work measurement, methods improvements, and performance measurement. A survey of enterprise and management measurement systems is presented. Prerequisite: IE 5317 or equivalent. |
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IE 6302 - FACILITIES PLANNING AND DESIGN: Facilities planning through layout design. Product flow, space-activity relationships, personnel requirements, and material handling are considered, as well as receiving, shipping, warehousing, and integration with manufacturing. Facilities planning models are explored. Prerequisite: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329, or concurrent or equivalent. |
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Based on prior academic preparation, additional or substitute coursework may be required. |
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