Web Site of the Department

Head of Department: Yaman Barlas

Professors: Kuban Altinel, Gulay Barbarosoglu, Yaman Barlas, Umit Bilge, Refik Gullu, Ali Riza Kaylan, Ilhan Or, Ahmet Fahri Ozok*

Associate Professors: Necati Aras, Taner Bilgic, Melike Baykal Gursoy+, Wolfgang Hormann*, Gurkan Kumbaroglu, David Pinhas, Ali Tamer Unal

Assistant Professor: Tinaz Ekim Asici, Nijaz Bajgoric+, Mahmut Eksioglu, Aybek Korugan, Ramazan Yildirim*

Instructors: Kemal Berkkan*, Suat Genc*

*Part-time

+Visiting Professor

The academic program in the Industrial Engineering Department covers the core areas of the discipline: optimization, applied probability and statistics, manufacturing system design and management, systems modeling, design and analysis. The interdisciplinary nature of the program prepares the student for a wide range of planning and production positions in public and private enterprises as well as in the service and financial sectors.

Current research in the Industrial Engineering Department centers around the topics of manufacturing systems management, supply chain management, investment decision analysis, simulation, statistical modeling, discrete optimization, stochastic processes and the dynamics of socio-economic systems. These studies involve extensive use of the departmental Software Laboratory, Computer Integrated Manufacturing (CIM), Flexible Automation and Intelligent Manufacturing (BUFAIM), Manufacturing Management Systems (MMS), Socio-Economic System Dynamics (SESDYN), and various Engineering School Laboratories.

The course requirements for the Bachelor of Science Degree in Industrial Engineering total a minimum of 146 credit hours of formal course work. Students may choose courses in Production/Manufacturing, Operations Research, Decision and Information Sciences, and Systems Modelling, under the supervision of their advisors. Each student is also required to complete 70 workdays of industrial training during summers.

UNDERGRADUATE PROGRAM

TOTAL(minimum): 146 credits

COURSE DESCRIPTIONS

IE 120 Industrial Engineering: Overview and Orientation (1+1+0) 1
(Endustri Muhendisligi: Giris ve Onbilgilendirme) Pass/Fail
Introduction and orientation to IE. Concepst and approaches; illustirations of main methods and applications presented by a series of lectures given by the IE faculty; overview of departmental laboratories, basic information technologies, and software including mathematical packages and web-based applications.

IE 201 Intermediate Programming (Orta Duzey Programlama) (2+0+2) 3
Introduction to object-oriented analysis and design: data encapsulation, inheritance, polymorphism, software engineering methodologies, UML; introduction to C++ programming language: class, inheritance, polymophism, basic input/output, operator overloading, exception handling, templates; fundamental data structures: array, list, tree, binary tree; fundamental algorithms: searching, sorting, recursion.
Prerequisite: CMPE 150 or equivalent.

IE 202 Operations Research I: Linear Models (3+0+2) 4
(Yoneylem Arastirmasi : Dogrusal Modeller)
Modelling concepts; linear programming; problem formulation; simplex and dual simplex methods; duality and sensitivity analysis; transportation, transshipment and assignment problems; integer programming; cutting plane algorithms and branch and bound techniques.
Prerequisite: MATH 201 or equivalent.

IE 255 Probability for Industrial Engineers (3+0+0) 3
(Endustri Muhendisleri Icin Olasilik)
Basic topics in probability theory; sample space, probability, and conditional probability; random variables, marginal, joint and conditional distributions; expectations and conditional expectations; hypergeometric, binomial, geometric distributions and their implications in IE/OR; Poisson, exponential, Erlang, gamma distributions and the Poisson arrival model; moment generating functions and Laplace transforms; law of large numbers, central limit theorem, and the Normal distribution; numerical and computational aspects of random variable generation.

IE 256 Statistics for Industrial Engineers (3+0+0) 3
(Endustri Muhendisleri Icin Istatistik)
Basic topics in parametric statistics; estimation, confidence intervals, and hypothesis testing; analysis of variance, regression and correlation analysis; goodness of fit tests; application in statistical quality control, demand forecasting, and other IE/OR topics; elementary design of experiments and data collection; computer implementations using available up-to-date statistical software.
Prerequisite: IE 255 or equivalent.

IE 303 Operations Research II: Nonlinear Models (3+0+2) 4
(Yoneylem Arastirmasi II: Dogrusal Olmayan Modeller)
Nonlinear programming; optimization in one variable, convexity, unconstrained and constrained optimization in many variables, Kuhn-Tucker optimality conditions, direct search and gradient methods; computational complexity; major heuristic approaches: simulated annealing, neural networks, tabu search, genetic algorithms.
Prerequisite: IE 202 or equivalent.

IE 304 Operations Research III: Stochastic Models (3+0+2) 4
(Yoneylem Arastirmasi III: Rassal Modeller)
Decision making under uncertainty, introduction to stochastic processes. Markov chains, probabilistic dynamic programming. Markov decision processes, stochastic inventory theory, Poisson processes, queuing and reliability models.
Prerequisite: IE 255 or MATH 343

IE 306 Systems Simulation (Sistem Benzetimi) (3+0+2) 4
Basic concepts of discrete-event simulation modeling and analysis. Event-scheduling versus Process-interaction approach. Random number and random variate generation; inverse transformation and other selected techniques. Input data analysis and goodness of fit tests. Specific computer simulation languages. Analysis of simulation output and model validation.
Prerequisite: IE 256.

IE 310 Operations Research (Yoneylem Arastirmasi) (3+0+2) 4
Economics and engineering decisions; principles of decision theory; generation and evaluation of alternatives; unconstrained and constrained optimization; duality and sensitivity analysis; application of LP; network models; simulation; case studies.
Prerequisite: MATH 201 or equivalent.

IE 312 Facilities Design and Planning (Tesis Tasarimi ve Planlama) (3+0+2) 4
Nature and classification of production systems. Product design. Forecasting methods: simple linear regression, moving average and exponential smoothing methods. Capacity requirements planning. Design of discrete production systems: product-based layout and assembly line balancing; process-based layout and design of work stations; group technology and cell design; material handling and storage systems. Facility location: discrete and continuous space location models.
Prerequisites: IE 255 or equivalent; IE 202 or equivalent.

IE 320 Materials and Processes in Manufacturing (2+0+2) 3
(Imalat Malzemeleri ve Surecleri)
Review of engineering materials (metals, ceramics, polymers) casting and forming processes (casting, powder forming, hot working, cold working); machining processes (shaping and planing, drilling and reaming, turning, boring and milling, abrasive machining, chipless machining); welding processes; processes and techniques related to manufacturing; case studies.
Prerequisite: ME 210 or equivalent.

IE 341 Engineering Economics (Muhendislik Ekonomisi) (3+0+2) 4
Economic analysis for engineering decision making; the finance function in an industrial enterprise, time value of money; basic interest formulas; annual cost comparison; present value analysis; rate of return; depreciation and taxes; multiple alternatives; mathematical models for equipment replacement; introduction to decision analysis; concepts of cost engineering.

IE 413 Supply Chain Management (Tedarik Zinciri Yonetimi) (3+0+2) 4
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: IE 312 or equivalent.

IE 414 Computer Integrated Manufacturing Systems (2+0+2) 3
(Bilgisayarla Butunlesik Imalat Sistemleri)
Fundamentals of CIM and automation; CAD/CAM, numerical control manufacturing systems; robotics; flexible manufacturing systems; lab assignments on automation technologies such as CAD/CAM, robotics, FMS design and simulations.
Prerequisites: IE 306 or equivalent.

IE 420 Operations Research Modeling Applications (2+0+2) 3
(Yoneylem Arastirmasi Modelleme Uygulamalari)
Overview of optimization, simulation, stochastic and multiobjective models; various application areas, underlying assumptions, and critical technical considerations of optimization models; typical implementation problems, practical points and obstacles encountered in applying operations research models to real life problems.
Prerequisite: IE 202 or IE 310.

IE 423 Quality Engineering (Kalite Muhendisligi) (2+0+2) 3
Principles of quality control systems; process control concepts; specification and tolerances; process capability studies; control charts; acceptance sampling plans; cost aspects of quality decisions; quality improvement programs; quality information systems.
Prerequisite: IE 256 or equivalent.

IE 424 Exploratory and Graphical Methods for Data Analysis (2+0+2) 3
(Veri Analizinde Acinsayici ve Grafiksel Yontemler)
Portraying and comparing distributions, quantile plots, box plots, stem and leaf diagrams; transformations; smoothing; multivariate data, scatter plot matrices, Kleiner-Hartigan trees, Chernoff faces, star diagrams, glyphs; developing regression models, outlier detection, partial residual plots, Cp plots; ridge regression; robust regression.
Prerequisite: IE 256 or consent of instructor.

IE 430 Ergonomics and Work Study (Ergonomi ve Is Etudu) (3+0+0) 3
Introduction to ergonomics; information input activities; mediation activities; physical output activities; work space and arrangement; environment; ergonomics of occupational health and safety.

IE 441 Planning for Engineers (Muhendisler Icin Planlama) (3+1+0) 3
Analysis of the planning process. Multiple objective and goal programming; identification and discussion of the efficient frontier. Data envelopment analysis. Project management; critical path based methods; random activity times; mathematical programming formulation; renewable and non-renewable resource constraints; risk analysis. Case studies.
Prerequisite: IE 202 or equivalent.

IE 443 Engineering Investment Decisions (2+0+2) 3
(Muhendislik Yatirim Kararlari)
Description of the organization and management, market study, choice of production capacity, project engineering, cost and revenue estimation, financing and preparation of financial tableaus, economic analysis, case studies.
Prerequisite: IE 341 or consent of instructor.

IE 452 Human Resources Management (Insan Kaynaklari Yonetimi) (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.

IE 461 Energy Policy and Planning (Enerji Politikalari ve Planlamasi) (3+0+0) 3
Investigation of essential energy policy issues and the development of necessary skills for planning. Energy market restructuring and climate change mitigation. Real options theory based on dynamic programming to address uncertainty in a competitive marketing environment. Basic concepts and approaches in energy and environmental policy modeling. Methodological difficulties in the integration of the top-down and bottom-up approaches with strengths and weaknesses of hybrid equilibrium models. Case studies using the General Algebraic Modeling System (GAMS) software.
Prerequisite: IE 202 or equivalent.

IE 480 -IE 489 Special Topics in Industrial Engineering (3+0+0) 3
(Endustri Muhendisliginde Ozel Konular)
Special topics in Industrial Engineering selected to suit research interests of the faculty.

IE 490, IE 493 - IE 499 Special Studies (Ozel Calismalar) (3+0+0) 3
Special topics in Industrial Engineering selected to suit the interests of the individual students. The course is designed to give student an opportunity to do independent work at an advanced level.

IE 491 Special Projects (Ozel Proje) (0+0+6) 3
Design or research projects will be the main topics. Students with special interest and qualifications may be permitted to take this course.

IE 492 Project (Bitirme Projesi) (0+0+8) 4
Listed under Engineering Core Courses.

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