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Course Criteria
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3.00 Credits
Analytical models for logistics and supply chain coordination. Modeling, analysis, and computational issues of production, transportation, and other planning and decision models. Logistics network configuration, risk pooling, stochastic decision-making, information propagation, supply chain contracting, and electronic commerce implication. Prerequisite: IE 316 and IE 339, or equivalent.
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3.00 Credits
Measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty. Emphasis on analytical methods to evaluate the economic desirability of replacement and retirement options in capital investment. Prerequisites: IE 220 and IE 226, or equivalent.
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3.00 Credits
Heuristic methods for solving combinatorial and discrete optimization problems such as routing, scheduling, partitioning and layout. Introduction to NP-completeness theory, exact and inexact methods, performance analysis, fast and greedy heuristics, Lagrangean heuristics, and various search techniques including simulated annealing, genetic algorithms, Tabu search and iterative constructive heuristics.
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3.00 Credits
The principle of optimality and recursive solution structure; multidimensional problems; reduction of dimensionality and approximation; stochastic control; non-serial systems; relationship to calculus of variation; applications. Prerequisite: IE 316 or equivalent.
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3.00 Credits
Advanced topics in mathematical programming with emphasis on modeling and analysis of non-linear optimization problems. Convex analysis, unconstrained and constrained optimization, duality theory, Lagrangian relaxation, and methods for solving non-linear programs, including descent methods, Newton methods, conjugate gradient methods, and penalty and barrier methods. Prerequisite: IE 406 or equivalent.
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3.00 Credits
Advanced topics in mathematical programming with emphasis on modeling and analysis of optimization problems with integer variables. Polyhedral theory, theory of valid inequalities, duality and relaxation, computational complexity, and methods for solving integer programs, such as branch and bound. Prerequisite: IE 406 or equivalent.
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3.00 Credits
Systematic analysis of models for the planning and scheduling of systems that produce goods or services. Resource planning techniques, static and dynamic scheduling methods and algorithms. Prerequisites: IE 316 or equivalent.
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3.00 Credits
Study of measurement instruments and sensors for manufactured products. Metrology standards, performance characteristics of measuring devices, calibration, error analysis, and gaging. Mechanical, optical, and other techniques. On-line monitoring and control for product quality, and sensor integration and fusion. Prerequisite: IE 328 or equivalent.
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3.00 Credits
Detailed analysis for robotic systems in manufacturing and service industries. Task planning and decomposition, motion trajectory analysis, conveyor tracking, error detection and recovery, end effector design, and systems integration. Prerequisite: IE 324 or consent of instructor.
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3.00 Credits
Advanced study of heuristic, algorithmic, and analytical methods for inventory, production planning, and distribution models and systems. Forecasting, scheduling of production facilities, single stage and multi-echelon inventory control, and facility location- production allocation models. Prerequisites: IE 316 and IE 339, or equivalent.
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