Curriculum: Master in Industrial Engineering

Foundation Courses
206511: Industrial Engineering I 3(3-0)
Material science and manufacturing processes, motion and time study, introduction to industrial management and organization.
206512: Industrial Engineering II 3(3-0)
Industrial statistical quality control, operations research technique, engineering economics, and production management.
206513: Applied Quantitative Sciences in Industrial Engineering 3(3-0)
Mathematical models and techniques for decision making in analysis, design and control of industrial production systems such as mathematical programming models, probabilistic and stochastic models, basic industrial data analysis, forecasting techniques and stochastic discrete-event simulation.
206515: Behavior Sciences in Industrial Engineering 3(3-0)
Modern industrial management philosophy, performance measurement and evaluation systems, mixtures between industrial psychology and ergonomics in system designs in order to meet qualitative goals, environmental effects in work places, biomechanical method for work analysis and designs and behavior analysis for safety system.
Major Courses
206514: Engineering Processes 3(3-0)
This course focuses on product design and development. The discussion covers market and customer analyses, financial viability, and technology applications. Understanding the demand patterns, consumer psychology, and product quality is essential. Integrated into the course materials are also customer satisfaction, functional value of products, design for manufacturing, etc. Some of the key design techniques are Quality Function Deployment, Rapid Prototyping, Computer Aided Design and Manufacturing.
206521: Linear Optimization 3(3-0)
Theory of the simplex method, duality, sensitivity analysis, degeneracy, revised simplex method, bounded variables and generalized upper bounding (GUB), decomposition, parametric analysis, linear programming with multiple objectives, linear complementary problems, interior point algorithm, and case studies with computer applications.
206522: Non-Linear Optimization 3(3-0)
Analysis of convex programming including convergence, duality, optimality and concavity, general procedures for unconstrained and constrained problems, quadratic programming, geometric programming, separable programming, fractional programming, separable programming, and non-convex programming.
206523: Dynamic Optimization 3(3-0)
Bellman’s principle of optimality; integer optimization; path problems; equipment replacement, knapsack, assignment, production scheduling and facility location problems; stochastic optimization; Markov decision processes; calculus of variation; and optimal control with emphasis on algorithmic development and curse of dimensionality.
206524: Network Flows Optimization 3(3-0)
Shortest path, maximal flows, minimum cut, graphs and tree diagram, out-of-kilter algorithm, minimum cost network flows algorithms, basic concepts of non-linear and time-varying network.
206525: Integer and Combinatorial Optimization 3(3-0)
Examples of integer programming models, primal and dual plane method, all integer cutting planes, branch and bound algorithms, 0-1 programming, group theory, non-polynomial (NP) completeness, cutting stock problems, traveling salesman problems, vehicle routing problems, quadratic assignment problems, solving non-linear integer programming using dynamic programming.
206526: Multiple Criteria Optimization 3(3-0)
Multiple criteria examples; multi-attribute decision analysis; linear multiple objective programming; objective-row parametric programming; goal and compromising programming; concepts of utility function; non-dominated solutions; efficient points; optimal weighting and human judgment; and non-linear and integer case studies.
206531: Engineering Stochastic Processes 3(3-0)
Examples and modeling of basic stochastic processes including random walks, Poisson process, discrete and continuous Markov chains, birth-death processes, renewal phenomena, semi-Markov processes, regenerative processes, branching, diffusion and stationary processes, Brownian-motion processes and Martingles.
206532: Queuing Theory 3(3-0)
Analysis of queues with static or dynamic arrival processes and service times, general distributions, single and multiple servers; queueing networks; transient and steady-state analysis with analytical and simulation solutions.
206533: Reliability Theory 3(3-0)
Reliability analysis with emphasis on the exponential, Weibull, gamma, normal distributions; single and mulitple elements; redundancy; deterministic and probabilistic reliability modelling and its applications; reliability optimization.
206534: Simulation Modeling 3(3-0)
Discrete-event simulation modeling of large and complex systems with emphasis on production applications to queuing, and distribution problems; model development, limitation and validation; discretization of continuous-time problems; programming with simulation languages.
206535: Simulation Analysis 3(3-0)
Random number generation, simulation input data analysis, estimation theory and goodness-of-fit tests, nature of simulation outputs, steady-state detection, reduction of transient, determining sufficient simulation run length and number of run, variance reduction techniques, designs of simulation experiment, search methods for alternative systems and validation and verification concepts.
206536: Game and Decision Theory 3(3-0)
Definition of matrix game and minimax theorem, search of optimal policy for discrete and continuous games, relationships between linear programming and game theory, infinite game, analysis and basis solution techniques using case studies and decision theory under uncertain information.
206541: Engineering Experimental Designs 3(3-0)
Analysis of variance; single factor experiment with blocks, completely randomized and Latin square design. Fixed and random effects. Factorial experiments; nested and split plot design, confounding and fractional replications. Concepts of expected mean square, mean and variance comparisons, and contrasts. Experimentation in regression analysis and response surface exploration.
206542: Applied Data and Regression Analysis 3(3-0)
Reviews of descriptive statistics; simple linear least square, multiple regression, polynomial regression, stepwise regression, multi-colinearity, correlation; nonlinear least square and transformations; computing techniques and applications with the use of computer package
206543: Applied Statistics in Quality Control 3(3-0)
Sampling and life testing procedures in evaluating product quality with emphasis to optimal sample size, performance specifications, military standards and federal regulations. Review of recent research in applied probability and statistics in quality control. Applied optimization in quality assurance.
206544: Technological Forecasting 3(3-0)
General methods for technological forecasting with major emphasis on predicting trend development of technology and academy, demand and supply of technology by using historical examples.
206552: Sequencing and Scheduling 3(3-0)
Deterministic/probabilistic nature of sequencing and scheduling problems. Single and multiple machine scheduling (flow shop, job shop). Modern industrial scheduling problems such as flexible shop systems, computerized material handling control etc. Measurement of effectiveness among solution techniques. Project scheduling with emphasis on time/cost trade-off and resource levelling and constraints.
206553: Inventory Theory 3(3-0)
Analysis of inventory models with emphasis in cost analysis, demand forecasting, leadtime, backordering, static and dynamic order quantity, stochastic demand, multi-level systems. Concepts of MRP and JIT inventory management with case studies.
206554: Modern Production & Industrial Systems 3(3-0)
Concepts and principles of automated production lines; analysis of transfer lines, flexible manufacturing systems, governing movements of industrial robots and automated guided vehicles. Numerical control; CAD/CAM computer aided process and resource planning and utilization. Concepts of group technology and system design consideration.
206555: Engineering Project Management 3(3-0)
Organization structure of project management, the use of network analysis in planning, scheduling of time table for each project activity with consideration on total time, cost, labour and other related resources, database systems for project administration, capital budgeting, control and operation techniques for meeting project due date.
206556: Advanced Quality Management 3(3-0)
Definition, philosophy and thought of quality management, statistical process control, quality assurance system, quality inspection, modern quality management techniques in leading industry, operations and administration of quality control circle and total quality control.
206557: Productivity Management 3(3-0)
Importance and definition of productivity, measurement and analysis of productivity, value added productivity, techniques and simulation models of productivity improvement, organization management and productivity administration, human resource development, total productivity management with case studies.
206558: Advanced Engineering Economics 3(3-0)
Accounting and engineering information systems, applied advanced mathematical methods for analyzing engineering economic models, applied quantitative procedures for decision making under certainty and uncertainty, multiple choices analysis with multi-objectives.
206559: Logistic Engineering 3(3-0)
Understanding of system design, life- cycle design perspective, basic understanding of reliability and maintainability, logistic elements, military and commercial logistics, third- and fourth- party logistic providers, roles of suppliers, grouping of suppliers, development of supplier relationships, and assessment and evaluation of supplier performance
206561: Computer Methods in Industrial Engineering 3(3-0)
Applied numerical methods in the field of industrial engineering such as approximations of mathematical function, matrix computations, solving linear and non-linear equations, determining roots of equations, solving ordinary and partial differential and integral equations. Computer program developments using MATHLAB programming languages with various tool boxes applied to solve some selected industrial engineering problems.
206562: Production Planning and Inventory Control 3(3-0)
The Production control system of a manufacturing organization provides the focus for this course. The primary subjects of forecasting, production scheduling and manufacturing resource planning for dependent demand inventory management are emphasized via computer methods. Quantitative modeling and managerial analysis for these production control problems are thoroughly discussed.
206563: Systems Engineering and Life-cycle Management 3(3-0)
Study of system engineering/life-cycle processes emphasize on acquisition of systems through design and procurement. Understanding of cost behavior in terms of commitment, Integration of reliability, maintainability, usability, and economic feasibility.
206595: Independent Study 3(3-0)
Individual study on selected topics from industrial applicable problems (for non-thesis programs only).
206596: Selected Topics in Industrial Engineering 3(3-0)
Advanced topics in industrial engineering; may be repeated.
206597: Seminar 1,1
Individual theoretical study of industrial engineering techniques: a final report must be submitted with an in-class presentation.
206591: Research Methods in Industrial Engineering 1
Research principles and methods in Industrial Engineering, problem analysis for research topic identification, data collecting for research planning, identification of samples and techniques. Research analysis, result explanation and discussion, report writing, presentation and preparation for journal publication.
206599: Thesis 12-Jan
Advanced topics in industrial engineering; may be repeated.
206621: Advanced Optimization 3(3-0)
Numerical techniques for large scale discrete and continuous optimizations, decomposition and partitioning principles, dynamic and stochastic optimization, infinite dimensional optimization, applied optimization in engineering designs.
206631: Advanced Engineering Stochastic Processes 3(3-0)
Stochastic processes with large scale states and stages, analysis of large engineering processes by approximations and simulations, applications in analysis and designs of large queuing network and large scale engineering system reliability.
206641: Advanced Statistical Methods in Quality Engineering 3(3-0)
Applications of advanced statistical methods, time series analysis and processing, optimization based experimentation, multi-variate analysis with major emphasis in modeling and designs of optimal operations under engineering quality constraints.
206651: Advanced Production Planning and Control 3(3-0)
Developments of models, techniques for planning and control of a production system with items under resource, capacity constraints and uncertain demands, comparative studies among methods and philosophy of production management published in technical journals.
206691: Advanced Research Methodology in Industrial Engineering 3(3-0)
Methodology and steps of research in the doctoral level of industrial engineering, surveys for research topics, specification of appropriate research scope and research activities, research planning and control, conclusions and identification of continuous developments.
Offered every semester
206696: Selected Topics in Industrial Engineering 3(3-0)
Reading and research in current problems of industrial engineering. Topics may be changed in each semester.
206697: Seminar 1(1-0)
Offered every semester
206698: Special Problems 1-3
Industrial engineering study and research at graduate level, a report is required.
206699: Dissertation 1-36
Minor Courses
422581: Statistical Quality Control 3(3-0)
Basis statistics for quality control, control charts, lot by lot and continuous production, acceptance sampling plans, double and sequential sampling plans, cost model in sampling plans, minimal total cost analysis
422554: Data Analysis and Regression 3(3-0)
Simple regression model, multiple regression model, diagnostic checking, multi-collinearity problem, model building, transformation, resistant line, robust regression.
422585: Simulation Techniques 3(3-0)
Generation of random variance with specified probability distribution, simulation process analysis and problem solving by Monte-Carlo method, simulating random events, use of package program in simulation, use of simulation technique in statistical studies.
214511: Information Technology for Organization 3(3-0)
Using information technology (IT) for improving quality and productivity, and for enhancing competitiveness and value added in organization. Components of information systems. Personal information systems: computer hardware and software technology, and personal productivity tools. Information systems development life cycles. Developing of personal information systems applications. Workgroup information system: goals, components, and development. Enterprise information system: goals, components, and development. Hand-on experience on personal productivity tools, Internet and World Wide Web.
214512: Foundations of Computer Technology 3(3-0)
Computer architecture and organization. Computer architecture: process, memories and input/output devices. Operating systems and system software tools. Structured programming. Software analysis and design. Systems software and applications software. File and database management systems. Database applications on personal computers.
214522: Managing Information Technology 3(3-0)
355501: English Required by the Graduate School 3(3-0)
To develop students’ essential reading comprehensive skills; to enlarge English vocabulary through reading; to encourage students to learn to think in English; and to prepare them for reading academic texts in their field of study.