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M.S. Program in Industrial Engineering

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Hakkında yorumlar M.S. Program in Industrial Engineering - Kurumda - Çankaya - Ankara

  • Program tanımları
    M.S. Program in Industrial Engineering      

    Required Courses:
    IE 553 Linear Optimization (3-0)3
    IE 561 Stochastic Models (3-0)3 or IE 562 Stochastic Processes in Decision Models I (3-0)3
    IE 590 Graduate Seminar (0-2) NC
    IE 500 MS Thesis NC

    Elective Courses:
    Five courses, at most two of which can be IE 4xx elective courses

    Minimum total credit hours: 21

    Minimum number of courses with credit: 7


    List of Courses


    IE 500 M.S. Thesis NC
    IE 505 Heuristic Search (3-0)3
    IE 513 Strategic Planning (3-0)3
    IE 521 Production Systems Analysis (3-0)3
    IE 522 Production Planning and Scheduling (3-0)3
    IE 523 Sequencing and Scheduling (3-0)3
    IE 524 Project Scheduling (3-0)3
    IE 525 Advanced Topics in Facilities Layout and Location (3-0)3
    IE 527 Production and InventoryTheory (3-0)3
    IE 528 Logistic Systems Engineering (3-0)3
    IE 529 Topics in Modern Manufacturing (3-0)3
    IE 531 Research Techniques in Human Engineering (3-0)3
    IE 532 Man Machine Information and Control Systems (3-0)3
    IE 533 Methodology of FatigueAssessment (3-0)3
    IE 539 Topics in Ergonomics (3-0)3
    IE 542 Quality Engineering (3-0)3
    IE 543 Industrial Economics (3-0)3
    IE 545 Total Quality Management (3-0)3
    IE 553 Linear Optimization (3-0)3
    IE 554 Discrete Optimization (3-0)3
    IE 555 Nonlinear Optimization (3-0)3
    IE 558 Multiobjective Decision Making (3-0)3
    IE 561 Stochastic Models (3-0)3
    IE 562 Stochastic Processes in Decision Models I (3-0)3
    IE 563 Stochastic Processes in Decision Models II (3-0)3
    IE 564 Forecasting (3-0)3
    IE 566 The Design and Analysis of Experiments (3-0)3
    IE 568 Statistical Applications in Engineering (3-0)3
    IE 570 Time Series Analysis with Applications (3-0)3
    IE 571 System Simulation (3-0)3
    IE 581 Artificial Intelligence, Expert Systems and Decision Support Systems (3-0)3
    IE 582 Business Process Reengineering (3-0)3
    IE 583 Qualitative Methods for Engineers (3-0)3
    IE 590 Graduate Seminar (0-2)NC


    Catalog Description of Courses

    IE 500 M.S. Thesis NC
    Program of research leading to M.S. degree, arranged between student and a faculty member. Students register for 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.

    IE 505 Heuristic Search (3-0)3
    Heuristic search approaches for solving difficult combinatorial problems. Categorization of heuristic search techniques. Traditional heuristics for combinatorial optimization problems. Meta heuristics including simulate annealing, tabu search and evolutionary algorithms. Constraint handling techniques. Computational complexity of heuristics. 

    IE 513 Strategic Planning (3-0)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.

    IE 521 Production Systems Analysis (3-0)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.

    IE 522 Production Planning and Scheduling (3-0)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.

    IE 523 Sequencing and Scheduling(3-0)3
    Sequencing and scheduling concepts and terminology. Characteristics of sequencing problems. Sequencing heuristics and procedures. Scheduling approaches. Priority rules and job shop scheduling.

    IE 524 Project Scheduling (3-0)3
    Principles of project management. Representation of project operations: project breakdown, network representation and terminology, network data. Network planning with respect to costs and durations: critical path analysis, linear time cost trade-off analysis. Resource-constrained network planning, resource scheduling, resource leveling. Financial planning and cost control in project systems. Project scheduling with probabilistic networks.

    IE 525 Advanced Topics in Facilities Layout and Location (3-0)3
    Formal and heuristic techniques of layout and location analysis, philosophical aspects of facilities planning in general. Special topics such as design of non-manufacturing facilities and warehouse automation.

    IE 527 Production and Inventory Theory (3-0)3
    Structure of production-inventory systems. Deterministic and stochastic ordering decision models in continuous and periodic review systems. Coordinated replenishment of multiple items.

    IE 528 Logistic Systems Engineering (3-0)3
    Physical distribution, after-sale services (product repair and maintenance), procurement, logistic performance and cost control, and logistic concepts of product systems design. Overview of material handling. Packaging facilities repair and maintenance and automation in logistics.

    IE 529 Topics in Modern Manufacturing (3-0)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.

    IE 531 Research Techniques in Human Engineering (3-0)3
    Laboratory and field research techniques in industry. Practical applications, instrumental methods and the general principles of project development. Classroom discussions, term projects and library research.

    IE 532 Man Machine Information and Control Systems (3-0)3
    Displays and controls. Human decision making process. Information theory. Human communication essentials. Cybernetics. Control systems. Behavioral control theory.

    IE 533 Methodology of Fatigue Assessment (3-0)3
    Fatigue and its relations with work load stress and strain, objective determination of physical and mental work load; laboratory testing procedures and their field applications, use of radio telemetry instrumentation for fatigue assessment.

    IE 539 Topics in Ergonomics (3-0)3
    Ergonomical issues of modern industrial society are introduced. Problems of automation humanization of work environment, shift work, disabled and aged workers in industry are discussed.

    IE 542 Quality Engineering (3-0)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.

    IE 543 Industrial Economics (3-0)3
    A review of quantitative microeconomics theory covering demand, production and market structures. A selection of medium -to -long term issues such as competition and pricing. Concepts of equilibrium and welfare. Modern topics in industrial economics such as the transaction cost and property rights approaches and government regulation. 

    IE 545 Total Quality Management (3-0)3
    Total quality concept. Total quality management decision. Customer focus. Quality organization. Team formation and problem solving. Policy deployment. Quality through planning. Design and control. Quality standards and award models. Real life applications and cases.

    IE 553 Linear Optimization (3-0)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.

    IE 554 Discrete Optimization (3-0)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.

    IE 555 Nonlinear Optimization (3-0)3
    Review of convex sets and functions. Local and global optima. Basic methods of constrained optimization. Lagragian duality.

    IE 558 Multiobjective Decision Making (3-0)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.
    IE 561 Stochastic Models   (3-0)3
    Markov chains and Markov processes. Queueing networks. Markov decision processes. Reliability and maintanance problems .

    IE 562 Stochastic Processes in Decision Models I (3-0)3
    Probability spaces and classification of stochastic processes. Markov chains with discrete and continuous parameter spaces; characterization and limiting behaviour. Birth and death processes and their application to queuing theory.

    IE 563 Stochastic Processes in Decision Models II (3-0)3
    Introduction to renewal theory. Applications in reliability and replacement models. Semi-Markov processes.

    IE 564 Forecasting (3-0)3
    Forecasting methodology and techniques, moving averages, exponential smoothing. Winters method, Box-Jenkins models, and Bayesian methods.

    IE 566 The Design and Analysis of Experiments (3-0)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.

    IE 568 Statistical Applications in Engineering (3-0)3
    Computer aided exploration, analysis and classification of data and empirical model building in engineering through the use of descriptive statistics, random sampling, probability distribution fitting, analysis of variance, regression analysis, discrimination and classification and clustering.

    IE 570 Time Series Analysis with Applications (3-0)3
    Stationarity and the autocovariance functions. Hilbert Spaces, The Projection Theorem and the mean square convergence. Stationary ARMA Processes. Prediction of Stationary Processes. Estimation of the mean and the autocovariance function. Estimation for ARMA models. Forecasting with ARIMA processes.

    IE 571 System Simulation (3-0)3
    Simulation methodology and its comparison with other techniques, discrete change simulation concepts. Selecting input distributions, random variate generation, statistical analysis of output. Selected applications of simulation.

    IE 581 Artificial Intelligence, Expert Systems and Decision Support Systems (3-0)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.

    IE 582 Business Process Reengineering (3-0)3
    The course concentrates on engineering of organizational processes and systems. The focus is on fundamental redesign of strategic and value-adding bussiness processes. Organizations are modelled as systems in order to gain insight into their structure, proceses and performance. This knowledge is used in engineering more effective organizations and information systems to provide value-added support for organizational evolution.

    IE 583 Qualitative Methods for Engineers (3-0)3
    Qualitative research methods serving as means to better understand and change a complex social phenomenon. Models employed in applied fields for gaining a better understanding of human interactions are among others, qualitative interviewing and observation, Delphi technique, Balanced Scorecard and System Dynamics. Through systematic means the students will gather information about actions and interactions, reflect on their meaning, arrive at and evaluate conclusions, and eventually put forward an interpretation.

    IE 590 Graduate Seminar (0-2)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.

    IE 7xx Special Topics in IE (3-0)3
    Courses not listed in catalog. Contents vary from year to year according to interest of students and instructor in charge. Typical contents include advanced fields of study in industrial engineering and operational research.

    IE 8xx Special Studies (4-2)NC
    M.S. students choose and study a topic under the guidance of a faculty member, normally his/her supervisor.

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