Courses in Systems Engineering


540:311 Deterministic Methods in OR
Prerequisite: none (linear algebra is helpful)
Elements of problem solving and algorithmic design. Use of numerical analysis and linear algebra to solve industrial engineering problems. Linear programming, optimization techniques.

540:343 Engineering Economics
Prerequisite: none
Economic decisions involving engineering alternatives; annual cost, present worth, rate of return, and benefit-to-cost; before and after tax replacement economy; organizational financing; break-even charts; unit and minimum-cost public sector studies.

540:453 Production Planning and Control
Prerequisite: may be taken concurrently with 540:311, 540:338
Coordination of activities of both manufacturing and service systems. Systems design; input and output; planning and scheduling. Decision-making problems employing mathematical techniques of linear programming.  Sequencing jobs on machines and line balancing techniques.

540:510 Deterministic Models in Industrial Engineering
Prerequisite: 540:311 (Undergraduate introduction to OR)
Deterministic models of operations research.  Linear programming, the simplex method, duality and dynamic programming.

540:515 Stochastic Models in Industrial Engineering
Prerequisite: Calculus based course in Probability
Stochastic models of operations research applied to queueing, reliability, inventory and production problems. Markov chains, renewal processes.

540:520 Distribution Systems
Prerequisite: Calculus, 540:311, and some knowledge of Probability
Methods and techniques of operations research applied to the design and analysis of marketing and distribution systems. Topics include sales forecasting, single- and multi-echelon inventory and distribution systems and routing and scheduling of product delivery.

540:525 Applied Queueing Theory
Prerequisite: 540:515
Markovian and non-Markovian queueing models, networks of queues, numerical solutions, approximations, statistical estimation of system parameters, cost models, emphasis on queueing applications in manufacturing.

540:530 Forecasting and Time Series Analysis
Prerequisite: statistics
Alternative time series models for the purposes of prediction. Smoothing techniques, probability and regression analysis and econometric analysis.

540:535 Network Applications in IE
Prerequisite: 540:311 (undergraduate introduction to OR)
Flow problems in networks.  Topics include shortest-route problems, critical path and GERT.

540:540 Computational Methods for Industrial Engineering
Prerequisite: Programming in C is helpful but not required
Computational methods in modeling, planning and control of production systems, numerical methods, AI techniques, exact and heuristic search methods and computational strategies for large scale systems.

540:545 Applications of Human Factors to Decision Systems Engineering
Prerequisite: Instructor's Consent
Human factors engineering techniques applied to specific design problems.  Decision theory, decision elements in complex man-machine decision systems, concepts of prompting, expert systems and artificial intelligence.  Introduction of psychological scaling techniques.

540:550 Special Problems in Industrial Engineering
Prerequisite: Instructor's Consent
Investigations in selected areas of industrial engineering and operations research.

540:560 Production Analysis
Prerequisite: 540:453 (undergraduate course in Production)
Analysis of production engineering, with emphasis on planning and control of manufacturing and service systems.

540:565 Facilities Planning and Design
Prerequisite: 540:311
Operations Research methodologies applied to facilities planning and design problems.  Facilities layout and location problems, assembly line balancing, conveyor design and automated warehousing problems.

540:575 Advanced Engineering Economics I
Prerequisite: 540:343 (undergraduate engineering economics)
Economic decision models for engineers involving allocation and scheduling of resources, evaluation of factual and strategic alternatives, advanced risk and uncertainty analysis, weighing and evaluating non-monetary factors.

540:580 Quality Management
Prerequisite: Instructor's Consent
Quality management philosophies, Deming, Jran, quality planning, control, and improvement, quality systems, management organizations for quality assurance.  Role of operations research.

540:585 Systems Reliability Engineering I
Prerequisite: undergraduate probability required;  first course in stochastic OR helpful
 Methods of measuring the reliability effectiveness of complex engineering systems, including optimization theory, preventive maintenance models, and statistical analysis.

540:595 Software Reliability I
Prerequisite: 540:515 or 960:580 Basic Probability
Software reliability issues, software errors, faults, and failures, software design for reliability, data collection, formal methods for reliability, software fault tolerance, modeling growth in software reliability, cost modeling and estimation, and software quality management.

540:650 Discrete Event Dynamic Systems
Prerequisite: 540:515
Supervisory control of discrete event dynamic systems, process monitoring, Petri nets, functional analysis, performance analysis, control specification, control verification and validation.

540:655 Performance Analysis of Manufacturing Systems
Prerequisite: 540:515, 540:525
Modeling of manufacturing systems such as flow-shops, transfer lines, job-shops and flexible manufacturing systems.  Topics include problems of failures and repairs, the role of buffer inventories, capacity allocation and machine interference problem.

540:660 Inventory Control
Prerequisite: 540:515
Modeling of pure inventory systems with stochastic demand and lead times.  Characterization of optimal control policies and analysis of single as well as multi-item systems with single and multiple echelons. Computational issues are emphasized.

540:665 Theory of Scheduling
Prerequisite: undergraduate production course and advanced Calculus
Advanced topics in sequencing and scheduling for manufacturing and service systems, flow-shop job-shop static and dynamic models, multi-processor parallel machining, preemptive-resume algorithms, optimal due date problems, probabilistic sequencing, simulation and applied operations research models.

540:675 Advanced Engineering Economics II
Prerequisite: 540:575 or Instructor's Consent
Focuses on engineering economic decision making. Application of analytical techniques to the evaluation of industrial projects, the relationship of project selection to long-range planning, and the relationship between the economics of technical choice and industrial productivity.

540:680 Production and Quality Engineering
Prerequisite: Production, Statistical Quality Control, Stochastic Processes
This course integrates research in Quality and Production. Topics include models that relate quality and inventory policies, set-up costs, lot sizing, production cycles, scrap, rework, repair, location of inspection stations, process control and electronics testing and manufacturing.

540:682 Process Modeling and Control
Prerequisite: 540:515, 540:568
Stationary (ARMA), non-stationary (ARIMA) time series models for process control, various automatic process control (APC) strategies, statistical process control (SPC) methods, integration of APC and SPC.

540:685 Systems Reliability Engineering II
Prerequisite: Strong background in probability
Advanced topics in reliability theory and engineering, availability models of multi-state devices, theory of preventive maintenance, replacement and inspection.  Accelerated reliability models.

540:690 Component Reliability
Prerequisite: 540:685
The course emphasizes reliability estimation of components stressed under different conditions of thermal, electric field, humidity, vibration and fatigue.  Burn-in testing, reliability estimation from degradation data and relationships between accelerated stresses and normal operating conditions.

540:691, 692  Seminar in Industrial and Systems Engineering
Prerequisite: none
Speakers from industry and academia describe their current research.

540:694 Advanced Topics in Industrial Engineering
Prerequisite: Permission of Instructor
Seminar for doctoral students in a selected area of Industrial Engineering.  Based on current literature.
 

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