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(For some courses, the most likely semester in which the course may be taught is given in parenthesis. The final schedule depends on faculty availability and student demand.)
| ISEN 601 | Location Logistics of Industrial Facilities. (3-0). Credit 3. (Spring) Selection of the optimal locations of industrial plants and distribution centers through analytical modeling of the costs of inventory storage, transportation, utilities, labor supply and other cost components. Prerequisites: ISEN 416 and 420. |
| ISEN 602 | Applications of Random Processes. (3-0). Credit 3. (Spring) Introduction to probability and random processes, especially Markov processes, as a basis for studying topics in industrial engineering and operations research. Prerequisites: ISEN 421 and STAT 212 or 601. |
| ISEN 603 | Advanced Logistics. (3-0). Credit 3. (Fall) Topics in logistics including measures of logistical systems performance, facilities location - allocation, production/distribution system design, transportation network design, vehicle routing, location-routing and continuous models; emphasis on mathematical modeling and analysis provide in current literature. Prerequisites: ISEN 601, 622, 623, 668 or approval of instructor. |
| ISEN 605 | Material Handling Systems. (3-0). Credit 3. (Fall) Analysis and design of integrated material handling systems; automatic storage and retrieval of unit loads, and identifying and establishing boundary conditions on key parameters required to specify the desired system required for equipment vendors to design appropriate hardware. Prerequisites: ISEN 416 and 420. |
| ISEN 608 | Industrial Case Analysis. (3-0). Credit 3. (Summer) Practice in applications of principles to the solution of actual case problems involving broad management decisions. Prerequisites: ISEN 303, 304, and 315 or approval of instructor. |
| ISEN 612 | Design by Reliability. (3-0). Credit 3. (Spring) Quantitative reliability analysis in engineering design. Reliability methods applicable to risk based design, component reliability and degradation, static and dynamic system reliability modeling and analysis, life testing, stress/strength analysis, and fault tree analysis. Prerequisites: ISEN 602 and STAT 414. |
| ISEN 613 | Engineering Data Analysis . (3-0). Credit 3. (Spring) Selected topics in probability and data analysis for quality in engineering problems; measurement principles, data collection and data analysis to solve quality engineering problems. Introduction to courses in the assurance sciences-reliability, maintainability, quality control and robust design. Prerequisite: ISEN 616 or 614 |
| ISEN 614 | Advanced Quality Control. (3-0). Credit 3. (Spring) Advanced methods applied to quality control. Classical treatments and recent developments in statistical process control. Evaluation, design and maintenance of quality control programs. Focus is on monitoring, root cause identification, and compensation of quality degradation. Prerequisites: STAT 212 or 601. |
| ISEN 615 | Production and Inventory Control. (3-0). Credit 3. (Fall) Model development for inventory management and for production planning; production control models for line balancing, lot sizing, dispatching, scheduling, releasing, kitting, MRP and just-in-time with treatment of flexible manufacturing and assembly. Prerequisites: ISEN 315 or 420 and 421. |
| ISEN 616 | Design and Analysis of Industrial Experiments. (3-0) Credit 3. (Spring) Fundamental theory, concepts and procedures required for industrial experimental design, statistical data analysis, and model building, with emphasis on engineering formulations and applications. One-factor experiments with and without restrictions on randomization, treatment comparison procedures, Latin and other squares, factorial experiments, full and fractional two-level factorial experiments, blocking in factorial designs, response surface methodologies and introduction to Taguchi methods. Prerequisite: STAT 212 or 601. |
| ISEN 617 | Quantitative Models for Supply Chain Coordination. (3-0). Credit 3. (Spring) Concepts, complexities, and models pertaining to supply chain management and relate these to recent practical initiatives; includes channel coordination models, supply chain contracting, and vendor-managed, inventory models. Prerequisites: ISEN 615, 623, and 602 or STAT 615 or approval of instructor. |
| ISEN 618 | Stochastic Processes in the Assurance Sciences. (3-0). Credit 3. (Fall) Stochastic processes necessary to deal with advanced problems in reliability, maintainability and other related areas. Prerequisite: ISEN 602. |
| ISEN 619 | Analysis and Prediction. (3-0). Credit 3. (Spring) Analysis and modeling of time-dependent data; statistical model building and parameter estimation for Markov processes; sampling of dynamic systems with random disturbances; on-line identification algorithms; design of time-series control charts for process monitoring; neural networks for multivariate analysis; applications using real data. Prerequisite: ISEN 602 |
| ISEN 621 | Heuristic Optimization. (3-0). Credit 3. (Spring) Focus on heuristic optimization methods that search beyond local optimal; includes neighborhood search methods and advanced search strategies such as genetic algorithms, simulated annealing, neural network, tabu search, and greedy randomized adaptive search procedures. Prerequisite: ISEN 421 and 622 or approval of instructor |
| ISEN 622 | Linear Programming. (3-0). Credit 3. (Fall & Spring) Development of the mathematics and algorithms associated with linear programming; convex sets and cones, polyhedral sets, duality theory, sensitivity analysis, revised simplex method, and dual simplex method; also covered are bounded variables, column generation, decomposition, interior methods, and integer programming. Prerequisite: MATH 304. |
| ISEN 623 | Nonlinear and Dynamic Programming. (3-0). Credit 3. (Fall & Spring) Understanding of algorithms for nonlinear optimization; development of optimality conditions and different types of algorithms for unconstrained and constrained problems; formulation and solution of many types of discrete dynamic programming problems. Prerequisite: MATH 304. |
| ISEN 624 | Applied Distribution and Queuing Theory. (3-0). Credit 3. (Spring) Queuing theory and its applications; single and multiple channels, priorities, balking, batch arrivals and service, and selected non-Markovian topics. Applications; statistical inference and design and control of queues. Prerequisite: ISEN 421 or ELEN 646. |
| ISEN 625 | Simulation Methods and Applications. (2-3). Credit 3. (Summar & Fall) Fundamental methodologies of simulation modeling; random number and deviate generation, statistical analysis of model output, and discrete event modeling using a commercial simulation language. Prerequisite: STAT 212 or 601. |
| ISEN 627 | Engineering Analysis for Decision Making. (3-0). Credit 3. (Spring) Principles and application of techniques in analysis of decision processes involving engineering systems under uncertainty. Areas of utility and information theory as related to quantification of information for decision-analysis. Prerequisites: ISEN 420 and STAT 601. |
| ISEN 628 | Combinatorial Optimization. (3-0). Credit 3. (Fall) Formulation techniques are studied along with general approaches for solving integer and combinatorial optimization problems: basic polydedral theory, cutting planes, branch and bound, matroids and theoretical background behind network optimization problems including the traveling salesman problem. Prerequisite: ISEN 622. |
ISEN 629 |
Engineering Optimization. (3-0). Credit 3. (Every other Fall) Develops a modern framework for studying nonlinear programming problems using convex analysis; convex sets and cones, separating hyperplanes, sub-differentiability, conjugate transforms, duality theory, and parametric analysis; applications of the principles and methods will be studied. Prerequisite: ISEN 622, corequisite: MATH 409. |
| ISEN 645 | Lean Thinking and Lean Manufacturing. (3-0). Credit 3. (Fall) Introduces the principles of lean thinking in modern manufacturing systems; philosophical, managerial and organizational requirements studied; lean manufacturing quantitative modeling methodologies, lean manufacturing cell design and case study analysis. Prerequisites: Approval of instructor and graduate classification. |
| ISEN 654 | Manufacturing Systems Planning and Analysis. (3-0). Credit 3. (Fall or Spring) The systems perspective of a computer integrated manufacturing system; manufacturing and its various levels and the planning and control of product movement through the production system in the context of using real-time control, multiprocessor systems, network architectures and databases. Prerequisite: ISEN 420 |
| ISEN 655 | Control Issues in Computer Integrated Manufacturing. (3-0). Credit 3. (Spring) Examines the nature of computer aided manufacturing systems with emphasis on control; an architecture for control of CAM systems is presented; control issues, problems and procedures to control CAM systems are studied and developed. Prerequisite: ISEN 654 or approval of instructor. |
| ISEN 656 | Virtual Manufacturing. (3-0). Credit 3. (Spring) Focus on principles of virtual reality and 3-D graphics and their application in manufacturing, automation and simulation; virtual reality modeling, mortion, collision detection and networking issues studied and developed. Prerequisite: ISEN 654 or approval of instructor. |
| ISEN 659 | Modeling and Analysis of Manufacturing Systems. (3-0). Credit 3. (Spring) Analytical models applied to the description, design operation, and control of manufacturing processes and systems; includes serial assembly, job shops, FMS, and cellular manufacturing configurations. Prerequisite: ISEN 624 and 654 |
| ISEN 661 | Network-Based Planning and Scheduling Systems. (3-0). Credit 3. (Fall) Fundamental theory, algorithms, and applications of network flow models; linear programming and its relationship to network analysis: algorithms for various kinds of shortest path models and cost minimization flow models; out-of-kilter algorithm; pure and generalized network specializations of the primal simplex method; introduction to multi-commodity networks; analytical procedures for a special class of stochastic networks (GERT). Corequisite: ISEN622 |
| ISEN 663 | Engineering Management Control Systems. (3-0). Credit 3. (Spring) Integration of human relations, planning and control concepts, systems analysis and design, and principles of management oriented toward engineering functions within an organization; organizational design and administration as they impact along the product life cycle, i.e., research, design, development, production and use. |
| ISEN 664 | Principles of Scheduling. (3-0). Credit 3. (Fall) Scheduling and sequencing for single machines, parallel machines, flow shops, job shops, flexible manufacturing systems, and assembly; relevant solution methods including algebraic, branch and bound, Lagrangian relaxation, facet generation, branch and price, heuristics and simulation; computational complexity issues. Prerequisite: ISEN 622 or approval of instructor. |
| ISEN 667 | Engineering Economy. (3-0). Credit 3. (Fall) Fundamental concepts and advanced techniques of engineering economic analysis; evaluation of alternative capital investments considering income taxes, depreciation and inflation; discounted cash flow analysis of competing projects, break-even analysis and determination of rate of return on investment. risk and uncertainty in engineering analysis. Prerequisite: ISEN 303 or equivalent. |
| ISEN 668 | Integer Programming. (3-0). Credit 3. (Spring) Formulation techniques and general approaches for solving integer (and mixed, integer linear) programs such as preprocessing, cutting plane methods, implicit enumeration, branch and bound, Lagrange relaxation, Benders decomposition, and heuristics; classical problem structures with special-purpose solution algorithms; fundamental theory of polyhedra, valid inequalities, and computational complexity reviewed. Prerequisite: ISEN 622. . |
| ISEN 681 | Seminar. (1-0). Credit 1. Opportunity to present research in a professional atmosphere. Presentations are not restricted to thesis or problem research. Acquaints the student with departmental research activities and procedures in documenting research. |
| ISEN 684 | Professional Internship. Credit 1 or more each semester. On-the-job training under supervision of practicing engineers in settings appropriate to professional objective. Prerequisite: Approval of committee chair and department head. |
| ISEN 685 | Directed Studies. Credit 1 to 12 each semester. Special topics not within scope of thesis research and not covered by other formal courses. Prerequisite: Graduate classification in industrial engineering. . |
| ISEN 689 | Special Topics in ... Credit 1 to 4. Selected topics in an identified area of industrial engineering. May be repeated for credit. Prerequisite: Approval of instructor. |
| ISEN 691 | Research. Credit 1 or more each semester. Research in industrial engineering field; content and credit dependent upon needs of individual student. |
| ISEN 692 | Professional Study. Credit 1 to 9. Approved professional study or project. May be taken more than once, but not to exceed 6 hours of credit toward a degree. Must be taken on a satisfactory/ unsatisfactory basis. Prerequisite: Approval of instructor. |
