Chairman: D. W. Hearn. Graduate Coordinator: J. P. Geunes. Professors: R. K. Ahuja; J. F. Burns (Emeritus); B. L. Capehart (Emeritus); D. J. Elzinga; R. L. Francis; D. W. Hearn; P. Pardalos; R. L. Patterson; B. D. Sivazlian (Emeritus). Associate Professors: S. X. Bai; S. Tufekci; S. Uryasev. Associate Engineer: K. E. Dominiak. Assistant Professors: J. P. Geunes; H. E. Romeijn; Z. J. Shen. Assistant Engineer: D. A. Schaub.
The Department of Industrial and Systems Engineering offers the Master of Engineering and the Master of Science degrees, each with a thesis or nonthesis option, with specialization in engineering management, manufacturing and logistics systems engineering, operations research, quality engineering, and special interest options such as health systems. In addition, the Department offers the Engineer degree and the Doctor of Philosophy degree with specialization in linear, combinatorial, nonlinear, and global optimization; supply chain management and e-commerce; financial engineering; manufacutring management; facilities location and layout; quality engineering; and stochastic processes.
A degree in one of the engineering disciplines or in mathematics, statistics, physics, computer sciences, quantitative management, or similar fields is prerequisite. Where the student's background is deficient, an articulation program of foundation courses will be required.
EIN 6227—Advanced Total Quality Management (3) Prereq: introductory statistics or consent of instructor. Philosophy of continuous improvement and methodology for applying team problem solving to manufacturing and service industries. Hands-on application of basic statistical quality tools; introduction to quality function deployment; concurrent engineering; business process reengineering; process analysis; benchmarking.
EIN 6336—Advanced Production and Inventory Control (3) Prereq: ESI 6417, 6429. Production planning and control; problem identification and formulation. Mathematical theory of single- and multicommodity inventory systems; problem solving using dynamic programming and Markov chains.
EIN 6357—Advanced Engineering Economy (3) Prereq: STA 4321. Economic analysis of capital expenditure decisions. Financial mathematics and microeconomics. Decision under risk and uncertainty. Game theory and utility theory.
EIN 6358—Decision Theory (2) Prereq: EIN 6357, ESI 6417. Formulation of decision criteria and decision strategies in a probabilistic environment. Industrial applications of input-output analysis and von Neumann-Morgenstern utility theory. Statistical decision functions.
EIN 6367—Facilities Layout and Location (3) Prereq: ESI 6417. Planar and discrete layout problems and locations problems; network location problems. Single- and multi-objectives. Industrial and public sector applications.
EIN 6392—Manufacturing Management (3) Prereq: ESI 6314 and undergraduate probability and statistics. Variety and importance of management decisions. Total quality management, just-in time manufacturing, concurrent engineering, material requirements planning, production scheduling, and inventory control.
EIN 6397—Seminar in Manufacturing Systems Engineering (1-2; max: 5) Current topics in manufacturing. Automation, robotics, computer vision, communication networks, labor relations, manufacturing processes.
EIN 6511—Systems Analysis I (3) Prereq: ESI 4567C, STA 4321, EEL 4657. Review of linear systems. State variable methods for systems analysis. Techniques of modeling. Computer methods. Application to control problems.
EIN 6905—Special Problems (1-6; max: 9) Laboratory, lecture, field work, or conferences.
EIN 6910—Supervised Research (1-5; max: 5) S/U.
EIN 6918—Graduate Seminar (1; max: 15) S/U.
EIN 6940—Supervised Teaching (1-5; max: 5) S/U.
EIN 6971—Research for Master's Thesis (1-15) S/U.
EIN 6972—Research for Engineer's Thesis (1-15) S/U.
EIN 7933—Special Problems (1-6; max: 12) Laboratory, lecture, field work, or conferences.
EIN 7979—Advanced Research (1-12) Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not open to students who have been admitted to candidacy. S/U.
EIN 7980—Research for Doctoral Dissertation (1-15) S/U.
ESI 5236—Reliability Engineering (3) Prereq: ESI 4567C, STA 4322. Mathematical models and methods of reliability engineering. Typical component failure distributions; system reliability as a function of component reliability. Reliability block diagrams and fault trees.
ESI 6155C—Advanced Computer Programming for Manufacturing Control (3) Prereq: CGS 2425, ESI 4567C. Principles and uses of production control digital computers. Software development for industrial hardware such as robots, milling machines, and automated warehouses. Laboratory developing and testing code on actual hardware.
ESI 6162C—Advanced Industrial Applications of Microprocessors (3) Prereq: CGS 2425. Concepts of microprocessors; microcomputer architecture and languages. Interfacing and computational requirements. Applications to industrial and manufacturing systems. Emphasis on laboratory experiments and "hands-on" experience.
ESI 6222—Statistical Quality Control (3) Prereq: STA 4321, 6166. Theory and practice for the control of manufacturing processes. Control statistics and their derivation. Mathematics of sampling plans. Bayesian decision rules. Applications.
ESI 6314—Deterministic Methods in Operations Research (4) Prereq: calculus through differential equations, knowledge of linear algebra, and experience using mainframes or PCs. Introduction to basic models and their solution with modern computer packages. Emphasis on modeling, computer solution, and sensitivity analysis with minimal reference to model theory and development of algorithmic methods.
ESI 6321—Applied Probability Methods in Engineering (3) Prereq: calculus, differential equations, undergraduate probability, and statistics. Applied probability theory and statistics, reliability engineering, quality control, robust design, forecasting, Markov processes, and queueing theory.
ESI 6323—Models for Supply Chain Management (3) Prereq: prior course work in linear programming, probability, and stochastic processes. Essential elements including controlling and coordinating activities such as order processing, purchasing, material storage and handling, production scheduling, packaging, transportation, and setting customer service standards.
ESI 6337—Markov Processes, Queueing Theory, and Applications (3) Prereq: ESI 4567C, STA 5325 or 6326. Development of Markov models in discrete and continuous time. Classification of queues. Analysis of selected systems.
ESI 6417—Linear Programming and Network Optimization (3) Prereq: matrix theory. Formulation and solution techniques for network flow and linear programming problems. Algorithms for network optimization. The simplex method, theory and computation. Duality theory, sensitivity analysis.
ESI 6418—Linear Programming Extensions and Applications (3) Prereq: ESI 6417, 6429. Extension of linear programming to large scale linear and nonlinear problems. Integer programming methods. Applications of the methodology to real world models.
ESI 6429—Introduction to Nonlinear Optimization (3) Prereq: ESI 6417 and multivariable calculus. Nonlinear optimization models, convex sets and functions, optimality conditions, nonlinear algorithms, dynamic programming methods.
ESI 6448—Discrete Optimization Theory (3) Prereq: linear programming and nonlinear optimization or equivalent. Modeling with integer variables; enumeration and cutting plane methods; decomposition algorithms; branch and bound methods; computational complexity and software issues; special combinatorial optimization problems; parallel algorithms for integer programming.
ESI 6470—Principles of Manufacturing Systems Engineering (3) Prereq: calculus through differential equations. Introduction to modern manufacturing systems. Components of product and process design, computer-integrated manufacturing and automation. Current areas of development and research.
ESI 6492—Global Optimization (3) Prereq: linear and nonlinear programming. Properties of nonconvex functions, convex envelopes, and duality. Complexity issues, applications of global optimization and software issues. Algorithms for quadratic programming. Concave minimization, Lipschitz optimization, and nonconvex network flow problems.
ESI 6529—Digital Simulation Techniques (3) Prereq: computer programming and probability theory. Computer programming aspects of digital simulation. Deterministic simulation; stochastic simulation. Use of simulation languages.
ESI 6546—Stochastic Modeling and Analysis (3) Prereq: STA 6326. Stochastic processes, with emphasis on model building and proabilistic reasoning. Review of elementary probability theory. Poisson process and renewal theory. Discrete and continuous time Markov chains. Brownian motions, random walks, and martingales. Applications in gueueing, reliability, inventory theory, logistics, and finance.
ESI 6912—Advanced Topics in ISE (1-4; max: 8) Prereq: consent of instructor. Course work in specialized topics for graduate students.