INDUSTRIAL ENGINEERING 

GRADUATE CURRICULUM

Graduates of Industrial Engineering and of other disciplines can be admitted to the graduate programs upon satisfying the requirements of the Department. Candidates from other disciplines are normally required to complete a deficiency program.

 M.S. PROGRAM

Engineering Management Option

EM 500 M.S. Thesis NC

EM 521 Statistical Decision Making (3-0-0)

EM 590 Graduate Seminar NC

EZ 501 Research Methods (3+0+0)

6 elective courses

 Total minimum credit : 24

Number of courses with credit (min) : 8

DESCRIPTION OF GRADUATE COURSES

 EM 501 Linear Optimization                                                                                      (3+0+0) 3

Linear programming in matrix form. The revised, dual, and primal-dual simplex methods. Bounded variables. Duality and sensitivity analysis. The transportation and assignment algorithms. Basic concepts of decomposition.

Prerequisite: Consent of department. 

EM 502 Discrete Optimization                                                                                   (3+0+0) 3

The linear minimal cost flow problem and its solution by the network simplex algorithm. Maximal flow, shortest route and circulation problems. The integer programming problem and its solution by branch and bound and decomposition methods. Lagrangian relaxation.

Prerequisite: Consent of department. 

EM 503 Nonlinear Optimization                                                                                 (3+0+0) 3

Review of convex sets and functions. Local and global optima. Basic methods of constrained optimization. Lagragian duality.

Prerequisite: Consent of department. 

EM 504 Large Scale Optimization                                                                              (3+0+0) 3

Decomposition, partitioning and compact inverse methods to deal with large and sparse optimization. Special structures such as Leontief substitution systems, production-inventory models. Simplex method with upper bounds and generalized upper bounding. Constraint relaxation methods. Branch and bound and Bender's partitioning methods to solve mixed integer linear programs.

Prerequisite: EM 501 or consent of department. 

EM 505 Multiobjective Decision Making                                                                    (3+0+0) 3

Formulation of the general multiobjective programming problem, classification of multiobjective programming methods; generating techniques, preference oriented methods, multiple-decision-maker methods. Multiobjective analysis of certain problems in public sector.(R)

Prerequisite: Consent of department. 

EM 506 Project Scheduling and Network Theory                                                      (3+0+0) 3

Introduction to graph theory; shortest path and related algorithms; network flow algorithms; matching and covering algorithms; traveling salesman problem and extensions; Chinese postman problem and extensions; problems of location on a network; stochastic network.

Prerequisite: Consent of department. 

EM 507 Decision Analysis                                                                                           (3+0+0) 3

Bayesian decision models; decision trees; value of information; utility theory, use of judgmental probability, study of strategies; economics of sampling; risk sharing and decisions; implementation of decision models. Prerequisite: Consent of department. 

EM 510 Simulation Modeling and Analysis                                                                (3+0+0) 3

Simulation methodology, model formulation, systems dynamics, overview of simulation languages, generating random variates, output data analysis, model validation, variance reduction techniques, experimental design and optimization.

Prerequisite: Consent of department. 

EM 511 System Theory                                                                                               (3+0+0) 3

Analysis of linear continuous systems; controllability, observability, and stability; applications to physical, ecological, and socio-economic systems; control systems; introduction to optimal control. 

EM 512 System Modeling                                                                                           (3+0+0) 3

Systems concepts; basic quantitative techniques used in systems approach; use of computers in modelling, industrial dynamics, econometric modelling; case studies on selected large scale systems.  

EM 513 Dynamics of Socio-Economic Systems                                                           (3+0+0) 3

The course uses computer simulation as an experiential platform to study and analyze the dynamics of socio-economic problems. The course has two broad objectives: The first one is to learn dynamic systems approach and systems simulation as a methodology to study and understand complex, dynamic socio-economic problems. Students will learn the concepts of stocks and flows, negative and positive feedback loops, structure and causal-loop diagrams and various typical behavior patterns. The second objective of the course is to expose the students to a variety of real socio-economic case studies and demonstare how systems approach and simulation can be used to tackle such problems. A systems simulation software will be heavily utilized through the course.  

EM 515 Artificial Intelligence  Expert Systems and Decision Support Systems       (3+0+0) 3

Introduction to artificial intelligence. Knowledge representation using formalized symbolic logic, dealing with uncertainties and inconsistencies, structured knowledge. Knowledge acquisition, organization and expert systems. Intelligent decision support systems: integration of DSS, DBMS and ES. 

EM 521 Statistical Decision Making                                                                           (3+0+0) 3

Order statistics and related distributions; sufficiency and related theorems; point estimation, criteria for selecting estimators, methods of estimation; Neyman Pearson theory; likelihood ratio tests; Bayes and minimax procedures; sequential procedures; confidence estimation; general linear hypothesis; analysis of variance; non-parametric statistical inference.

Prerequisite: Consent of department. 

EM 522 Stochastic Processes                                                                                     (3+0+0) 3

Probability spaces and classification of stochastic processes. Markov chains with discrete and continuous parameter spaces; characterization and limiting behavior. Birth and death processes and their application to queuing theory.

Prerequisite: Consent of department. 

EM 523 Advanced Stochastic Processes                                                                    (3+0+0) 3

Limiting behavior and potentials of Markov chains; Markov processes and infinitesimal generators; renewal theory and regenerative processes; Markov renewal processes; Brownian motion and its sample path analysis.

Prerequisite: Consent of department. 

EM 525 The Design and Analysis of Experiments                                                     (3+0+0) 3

The way in which information is used in inference making will be discussed by covering linear statistical models, multiparameter hypotheses, incomplete block designs. Random and mixed models.

Prerequisite: Consent of department. 

EM 526 Inventory Control Theory                                                                             (3+0+0) 3

Description and characteristics of inventory models; deterministic economic lot size models; stationary stochastic inventory models; optimal single period.

Prerequisite: Consent of department. 

EM 527 Reliability Theory and Applications                                                              (3+0+0) 3

Analysis of deterministic, probabilistic and stochastic reliability models; coherent structures, min-path and min-cut representations, computing system reliability, reliability importance of components, systems with associated component, bounds on system reliability, stock and wear models, reliability operations and classes of life distributions, reliability improvement and allocation, availability theory for multi-component systems, optimal management of systems by replacement and preventive maintenance.

Prerequisite: IE 505 or Consent of department. 

EM 528 Queuing Theory                                                                                             (3+0+0) 3

Characterization of queuing systems; birth and death processes; single server queues; transient and equilibrium behavior; busy period; multiserver queues; batch service queues; non-Markovian queues; embedded Markov chains; bounds, inequalities and approximations; optimal control of queues; queuing networks.

Prerequisite: Consent of department. 

EM 529 Statistical Data Analysis                                                                               (3+0+0) 3

Review of fundamental statistical concepts; comparison of more than two treatments; measuring effects of variables; regression and correlation analysis; time series analysis; numerical classification methods.

Prerequisite: Consent of department. 

EM 531 Production Systems Analysis                                                                        (3+0+0) 3

State-of -the-art tools for gaining perspective in management and control of manufacturing function in organizations supported by case studies. An evaluative treatment of materials management, master production scheduling and production planning from a bottom-up perspective. Material Requirements Planning (MRP) versus Just-in -Time (JIT) implementations. Optimized Production Technology (OPT). Differences in make-to-order and assemble-to-order production settings. Computer support, system conversion and integration issues in manufacturing planning and control.

Prerequisite: Consent of department. 

EM 532 Production Planning and Scheduling                                                            (3+0+0) 3

Analysis of some specific problem areas within the context of planning and scheduling of production activities. Definition, formulation and available solution procedures for aggregate planning, lot sizing. Scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems.

Prerequisite: Consent of department. 

EM 533 Scheduling and Sequencing                                                                           (3+0+0) 3

Theory and applications of analytical models used in the scheduling of operations. Topics include single and multi-machine scheduling, flow shop models, job shop models, hybrid models, assembly line balancing models. Evaluation of different scheduling rules in stochastics and dynamic production systems by means of analytical tools and simulation models.

Prerequisite: Consent of department. 

EM 534 Topics in Modern Manufacturing                                                                   (3+0+0) 3

This course is designed to promote interest in modern manufacturing systems. Various papers and references are presented related to FMS and CIM. State of-the-art papers are discussed.

Prerequisite: Consent of department. 

EM 535 Manufacturing Information Systems                                                             (2+0+2) 3

Information management for manufacturing enterprise integration with emphasis on concepts such as CIM and Concurrent Engineering, production management approaches such as MRP II, JIT and OPT, engineering functions such as CAD and CAPP, and Shop Floor Control. A development framework for an information system for Shop Floor Control: structured analysis for modeling information requirements, a reference model for system design; a review of information requirements, a reference model for system design; a review of information technology including state-of-the-art architectures and tools such as distributed systems, open systems, factory networks, communication standards, and database management systems.

Prerequisite: Consent of department. 

EM 536 Advanced Production Systems                                                                      (3+0+0) 3

Impact of computer aided design and manufacturing on production planning; data base for manufacturing; classification and coding; manufacturing information systems; computer aided process planning; operations research models in assembly lines, automated flow lines, group technology, and flexible manufacturing systems.

Prerequisite: Consent of department. 

EM 537 Computer Integrated Manufacturing Systems                                             (3+0+0) 3

Fundamentals of CIM and automation; high volume discrete parts production systems; numerical control manufacturing systems; Robotics, FMS, CAD/CAM, Group Technology; lab assignments on automation technologies such as CAD/CAM, barcode, PLC, simulation, robotics etc.

Prerequisite: Consent of department. 

EM 538 Man-Machine Information & Control Systems                                              (3+0+0) 3

Displays and controls. Human decision making process. Information theory. Human communication essentials. Cybernetics. Control systems. Behavioral control theory. 

EM 540 Quality Engineering                                                                                       (3+0+0) 3

Introduction to Quality Engineering. Parameter design by Taguchi design of experiment, Taguchi's Loss Function. Tolerance design and tolerancing. Online feedback quality control. Online process parameter control.

Prerequisite: IE 362 and IE 566 or consent of department. 

EM 551 Business Process Reengineering                                                                   (3+0+0) 3

The course concentrates on engineering of organizational processes and systems. The focus is on fundamental redesign of strategic and value-adding business processes. Organizations are modeled as systems in order to gain insight into their structure, processes and performance. This knowledge is used in engineering more effective organizations and information systems to provide value-added support for organizational evolution.

Prerequisite: Consent of department. 

EM 552 Forecasting and Analysis of Time Series                                                      (3+0+0) 3

Forecasting methodology and techniques, moving averages, exponential smoothing. Winters method, Box-Jenkins models, and Bayesian methods.

Prerequisite: Consent of department. 

EM 555 Investment Planning                                                                                     (3+0+0) 3

Analysis of industrial projects, review of project appraisal techniques; technological feasibility; economic and financial feasibility; capital budgeting models; portfolio models; uncertainty and risk analysis; project management techniques; case studies. 

EM 560 Engineering & Technology Management                                                      (3+0+0) 3

Basic issues in technology management and problem solving in high-technology organizations. Methods for identifying or solving problems, including use of case studies and field research. Planning technological change in diversified corporations; understanding invention - the heart of technological change; implementing new technology in new products/services/ manufacturing; forecasting the economic impacts of technological change; forecasting technological change and planning research 

EM 561 Human Resources Management                                                                    (3+0+0) 3

Human capital concept; people, productivity and the quality of working life; evaluation of human resources management; legal and social contexts of personnel decisions; analyzing and designing jobs; determining human resources requirement; recruiting; screening and selecting employees; orienting and training employees; identifying and developing management talent; appraising employee performance; managing careers; compensation management; assessing the costs and benefits of personnel activities; international dimensions of human resources management. 

EM 562 Communication and Team Building                                                              (3+0+0) 3

Development of oral and written communication skills; fundamentals of report writing and technical document preparation; fundamentals of preparing and delivering public speech and presentations; design of research in managerial decision making; design and presentation of survey studies; conflict management; criticize and appriciation; team building; project teams; quality circles; management of team dynamics; 

EM 563 Strategic Planning                                                                                         (3+0+0) 3

Methods and techniques of strategic management, that is, formulation, implementation and evaluation of actions that enable an organization to achieve its mission and objectives. Strategic Choice and Decision Making, Strategy Implementation Process Structure and Planning Style, Strategy Review, Evaluation and Control. 

EM 564 R&D Management                                                                                         (3+0+0) 3

Necessary conditions for successful company research; R&D management in relation to corporate governance; priorities in strategic issues; human capital knowledge and know-how; managing intellectual capital; framework for R&D processes from QM perspective; R&D management methodology for better performance; patent portfolios as strategic R&D planning; R&D decision quality processes; international R&D projects; corporate technology stock model; R&D organizational processes on suspension systems of automobiles; virtual R&D organizations-pharma industry. 

EM 565 Supply Chain Management                                                                            (3+0+0) 3

Fundamentals of supply chain management and enterprise resources planning (ERP); aggregate production planning: static, dynamic, nonlinear and lot sizing models; operations scheduling: flow shops and job shops; materials management and materials requirement planning (MRP); capacity resources planning (CRP); distribution system management; implementation of manufacturing management strategies.

Prerequisite: Consent of department. 

EM 567 New Product Development                                                                            (3+0+0) 3

An overview of product and process development methodology enabling simultaneous cost reduction, increased customer satisfaction, increased quality and reduced cycle time; major phases of product and process development; competitive manufacturing strategies; concurrent engineering; design for manufacturing; quality function deployment; value engineering; product architecture; process engineering; information modeling with a special attention to the changing nature of new product introduction in high technology companies; case studies in the above topics.

Prerequisite: Consent of department. 

EM 568 Design of Information Systems                                                                     (3+0+0) 3

Foundations of computer communications and network technology (network architectures and protocols); data collection systems and devices; client-server and 3-tier architectures; data-base management systems (data-base linkages and object-oriented paradigm); information system life-cycle; business analysis methodologies; functions and behavior of engineering and technology enterprises; enterprise integration in engineering and technology management; a framework to develop a reference model for information system design; design for evolutionary systems.

Prerequisite: Consent of department. 

EZ 501 Research Methods                                                                                   ( 3+0+0 ) 3

It is aimed to improve the students’ ability of thinking and studying scientifically and make them able to use the scientific method by staying away from every sort of prejudice at their studies and researches by this lesson. Method information, which will be able to carry on a research in scientific discipline and reach the conclusion, is given with this aim. Within this scope; the subjects, Information and Its Source, Definition of Science, Its Function and Sorts, Definition of Scientific Method and Its Basic Qualities, Definition of Research, Its Sorts and Qualities, Research Proposal and Report Preparation are discussed. Research subject is also examined in details and studied under the title of The Process and The Techniques of The Research as Introduction, Method, Findings and Interpretation, Abstract, Judgement and Proposals. In the Introduction part; Problem, Objective, Importance, Hypothesis, Restraint and Definitions, in the Method part; Research Model, Universe and Sample, Data and Their Collection, Handling, Solution and Interpretation of Data take place. In a research, content of Findings and Interpretation, Abstract, Judgement and Proposals and ‘how they should be written’ are discussed. Forming Bibliography, Indicating Bibliography, Techniques of Quotation are studied. Discussion of a Research Proposal and a Thesis Proposal which will be prepared by the students. In a scientific article, Title, Authors and their Addresses, Introduction, Short Summary, Material and Method, Conclusions, Writing of Acknowledgement, Forming of the Bibliography and Attribution to the Resources are discussed. How Scanning/Evaluation Article will be written is studied.

IE 500 M.S. Thesis                                                                                                     NC

Program of research leading to M.S. degree, arranged between student and a faculty member. Students register to this course in all semesters starting from the beginning of their third semester while the research program or write-up of thesis is in progress. 

EM 590 Graduate Seminar                                                                                        NC

This seminar is designed to promote research interest in various areas of IE. Master’s students must register and fulfill departmental requirements of the seminar. 

EM 600 Ph.D. Thesis                                                                                                  NC

Program of research leading to Ph.D. degree, arranged between student and a faculty member. Students register to this course in all semesters starting from the beginning of their fifth semester while the research program or write-up of thesis is in progress. 

EM 8XX Special Studies in IE                                                                                    NC

M.S. students choose and study a topic under the guidance of a faculty member, normally his/her advisor. 

EM 9XX Advanced Studies in IE                                                                                NC

Graduate students as a group or a Ph.D. student choose and study advanced topics under the guidance of a faculty member, normally his/her supervisor.