Endüstri Mühendisliği Tez Yazım Yönergesi

IE 101

Industrial Engineering Orientation ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri

  (2 0 2)

The aim of this course is to provide an understanding of the industrial and systems engineering.
IE 111

Computer Aided Engineering Drawing

  (2 2 3)

The course mainly consists two parts. While the first part provides introduction and general information on AutoCAD, the second part is related with the basics of engineering drawing. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 114

Materials Science and General Chemistry

  (3 2 4)

The course is designed to cover the following subjects:  classification of the materials, atomic structure, periodic table, molecular structure, bonding in solid materials, structure of crystalline solids, mechanical properties of the materials, phase diagrams, thermal processing of metal alloys, properties and use of ceramics, glasses and composites, material selection, and design. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE

200

Summer Training I

 (0 0 0)

A minimum of four weeks (20 working days) training in a manufacturing organization. A thorough observation of the manufacturing system and a discussion of the various aspects of the manufacturing process. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 243

Manufacturing Processes

 (2 2 3)

This course is designed to provide students with an introduction of a number of manufacturing processes. It is an overview course discussing a wide variety of manufacturing processes with less detail. Instead, the principles behind the processes will be discussed. Special emphasis will be given to some common methods in manufacturing industry including metal cutting, numerical control, casting, forming and shaping processes. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 227

Introduction to Probability

 (3 2 4)

In this course, basic probability concepts and counting techniques are introduced. Consequently, the concepts of the random variable and distribution are given. The expectation, variance, correlation concepts are introduced. Various types of probability distributions are introduced.  Examples in the manufacturing, service systems and decision making are given so that the concepts and their applications are better appreciated. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 211

Introduction to Engineering Thermodynamics

  (3 0 3)

This course is designed to provide students with an understanding of thermodynamic principles; application of the first and second laws of thermodynamics; understanding of the basic relations among physical properties of materials, energy transfer by heat, work and mass, and entropy.  Some fundamental and common applications in real world, for instance, power cycles, reverse cycles, refrigeration cycles, etc., are also included.
IE 202

Work Study and Ergonomics

  (2 2 3)

This course is designed to teach the fundamentals of Work Study and Ergonomics, which are both used in the examination of human and work in all their contexts. The topics covered in the course are introduction, problem solving tools (recording and analysis tools, activity charts, line balancing), operation analysis, manual work design (principles of motion economy, motion study), time study (performance rating and allowances), standard data and formulas, work sampling, predetermined time systems, job analysis, job evaluation and compensation, design (workplace, equipment, and tool), work environment design, design of cognitive work. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 228

Engineering Statistics

  (2 2 3)

Descriptive statistics, probability and random variables, point and interval estimation, hypothesis testing, sample size determination, basic experimental design and analysis of variance, simple linear regression. Use of statistical software to analyze data. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 232

Operations Research I – Modeling

  (3 2 4)

This course is redesigned to equip students with the ability of conceptualization of real life systems in the form of mathematical models. Principles of model building and basic optimization concepts and approaches for problem solving are discussed in detail. The application of these principles and concepts are illustrated using simplified but practical problems from diverse fields of application in manufacturing/service/distribution systems. Scopes and limitations of suggested formulations are presented and their applications in real-life situations are focused with the help of mathematical programming software. The emphasis is on the formation and interpretation of models rather than solution procedures. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 240

Cost Analysis in Engineering

  (2 2 3)

This course includes the material necessary to analyze cost behavior, examine costing systems and their practices in different organizations with different nature of production. The ways how these systems are used in decision making at different levels, are illustrated by examples. The aim is to teach the students basics of financial accounting; definition of costs, cost absorption techniques with an emphasis on allocation of overhead, budgeting, variance analysis, cost-volume-profit analysis; preparation of balance sheet, income statement and flow of funds statement; inventory valuation. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE

300

Summer Training II

 (0 0 0)

A minimum of four weeks (20 working days) training in a manufacturing or service organization. A thorough observation of the manufacturing system and a discussion of the various aspects of the manufacturing processes. Identifying, designing and formulating a solution methodology to an industrial engineering problem. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 311

Computer Applications in IE

  (2 2 3)

This course is designed to provide a background necessary to develop different computer based applications required in IE activities. The topics covered in the course are introduction to Visual Basic Environment, recording macros, spreadsheet applications using macros, data structures(stacks, queues, trees), algorithms manipulating them, searching algorithms, sorting algorithms, simulation and debugging. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri

 
IE 361

Production Planning I

  (2 2 3)

This is the first of two sequel courses, which are designed to introduce the basics of production planning and control with the need of modern manufacturing organizations in mind. The topics covered in the first course are production and inventory management environments, long-range planning, forecasting, aggregate planning, deterministic and independent demand inventory management, stochastic and independent demand inventory management, aggregate inventory management, distribution and inventory control. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 341

Engineering Economic Analysis

  (2 2 3)

This course highlights the importance of economic principles in engineering applications, especially in project evaluation procedures. Basics of economic evaluation of engineering decisions such as time value of money, inflation, depreciation and income taxes and related techniques are given.,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 327

System Simulation

  (2 2 3)

This course highlights the importance of economic principles in engineering applications, especially in project evaluation procedures. Basics of economic evaluation of engineering decisions such as time value of money, inflation, depreciation and income taxes and related techniques are given.,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 333

Operations Research II – Deterministic Problems

  (3 2 4)

This course is designed to introduce the fundamentals of Operations Research applied to deterministic problems. The emphasis is on the solution procedures and interpretation of the solutions. The topics covered are the basic deterministic models used in decision making: linear programming, simplex methods, duality, post optimality analysis, integer programming, network models and nonlinear programming. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 302

Facilities Design and Location

  (2 2 3)

In this course, an overview of all the functions that are involved in successfully designing and operating a manufacturing facility. The topics covered are choosing manufacturing processes, developing production systems and associated plant layout, designing material-handling and storage systems, selecting the essential labor resources, considering the cost factors that go into the design and operation of a plant, basic location/allocation analysis, which determines the most economic location for a plant or plants in a country (or machines within a plant). ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 362

Production Planning II

  (2 2 3)

This is the second of two sequel courses, which are designed to introduce the basics of production planning and control with the need of modern manufacturing organizations in mind. The topics covered in the first course are master scheduling, push production control systems (MRP, lot sizing, MRP II), pull production systems (just-in-time production, kanban), production activity control (scheduling in different production environments, priority rules, input/output control), supply chain management, project management (CPM, PERT, time costing methods, resource constraints). ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 364

Production Information Systems

  (2 2 3)

Various aspects of information systems (IS) and information technologies (IT) related to industrial engineering (IE) discipline with special emphasis on production systems. IT infrastructure. Data resources management. IE perspective on IS, understanding the business value of information, digital firm, IS in enterprises, strategic importance of IS. Enhancing management decision making, telecommunications and internet technologies. Database structure and development, relational database structure, security and control, ethical and social aspects. Enterprise resource planning and material requirement planning software packages. E-business and IT applications for production systems. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 334

Operations Research III – Stochastic Problems

  (3 2 4)

This course is designed to introduce uncertainty, risk and probabilistic approaches in decision making problems. Basic mathematical modeling tools used in stochastic processes, queuing theory, inventory systems and decision analysis are introduced. Discrete and continuous time Markov chains, birth and death processes, M/M/c queuing systems, stochastic dynamic programming are analyzed and elementary solution techniques are discussed. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 427

Quality Engineering

  (2 2 3)

Review of fundamental statistical concepts. Introduction to control charts. Control charts for attributes. Control charts for variables. Special control charts. Graphical methods for quality improvement. Process control techniques. Specification limits. Process capability analysis. Tolerances and related techniques. Acceptance sampling by attributes and by variables. Application of design of experiments to quality control. Taguchi methods. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 407

Systems’ Analysis

  (1 4 3)

This course is a project based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The aim is to conduct a program in which industry and academia, students and engineers/managers, learning and implementing, course-work and real-life all come together and meet with each other. More specifically, teams of students and professors work on real-world projects sponsored by industry to develop implementable solutions. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 407 is devoted to the understanding and identification of the particular system involved, the issues, and statement of the problem.,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 499

Seminar in IE Practice

  (0 2 1)

Throughout this course a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial engineering to introduce IE students to the work atmosphere and opportunities available in academia and various manufacturing and service systems. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
IE 408

Systems’ Design and Implementation

  (2 4 4)

This course is a project based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The aim is to conduct a program in which industry and academia, students and engineers/managers, learning and implementing, course-work and real-life all come together and meet with each other. More specifically, teams of teams of students and professors work on real-world projects sponsored by industry to develop implementable solutions. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 408 is devoted to the formulation and development of the solution of the problem stated in IE 407, and implementation of that solution in the corresponding real life system.

 

DESCRIPTION OF IE ELECTIVES
IE 402

Supply Chain Management

  (3 0 3)

This course gives and understanding of the basic concepts, techniques and algorithms for planning and coordinating the supply chain systems. Moreover, it serves an opportunity to practice the tools taught in operations research and production planning courses.
IE 406

Project Scheduling and Control

  (3 0 3)

In this course, the project planning and control tools used in managing and delivering projects will be explained in depth. Upon the conclusion of this course, students will have gained a practical knowledge of:- Project scheduling basics and models- Resource constrained project scheduling :models and solution algorithms- Project monitoring and control tools

– Project risk analysis tools

– Project management software

 
IE 412

Applied Time Series Analysis

  (3 0 3)

This course introduces Box-Jenkins methods for modeling time series data. First the basic concepts are introduced and then the models for both stationary and non-stationary processes are discussed briefly. The estimation, model identification and forecasting are presented. Finally, the concepts are extended to multivariate case.
 
IE 422

Industrial Pollution Prevention

  (3 0 3)

The course has a core fundamental part, which covers basic concepts of P2, relationship between industrial activity and environment, and environmental regulations. In the second part of the course, the focus is on the P2 tools and techniques, such as improved manufacturing operations (green design or eco-design), life cycle assessment (LCA), ecoefficiency and good housekeeping. The P2 planning and its economics are the other related topics to be covered in the course.
 
IE 428

Quality Management Systems

  (3 0 3)

This course teaches how to apply the concepts and tools of total quality to develop, implement, and maintain an effective quality assurance system in a manufacturing or service organization. Emphasis will be on both documentation and team-based strategies for continuous improvement, using the ISO 9000:2000 Standard as a basis for quality system requirements.
IE 429

Design of Experiments

  (3 0 3)

This course is redesigned to equip the students with the ability of designing, performing and analyzing experiments. Principles of experimentation, different design types are discussed briefly. Besides the concept of robustness is introduced and designs of robust experiments are given. Also finding out the optimum levels of the effective factors are of concern. Thus, response surface methodology and designs are also introduced.
IE 435

Decision Analysis

  (3 0 3)

Introduction, elements of decision problems, structuring decisions, probability and decision,  decision making in a complex world, uncertainty and making choices,  payoffs and losses, developing a decision model, Non-probabilistic and probabilistic criteria for decision making under uncertainty, utility and the assessment of utility functions, Decision tree analysis, gaining insight through evaluation, the value of information, terminal and posterior decisions, the value of perfect and sample information, pre-posterior analysis, using simulation to solve decision problems, getting agreement, implementing the decision analysis process.
IE 444

 Computer Integrated Manufacturing Systems

  (3 0 3)

This course is designed to highlight the major automation-related subjects within the scope of manufacturing system. Special emphasis will be given on industrial robotics, robot programming and flexible manufacturing systems (FMS). Laboratory exercises will deal with robotic programming and experiment with FMS systems. The elements of a flexible manufacturing environment such as CNC machines, robots, conveyors are modeled and operated via OpenCIM software package.
 IE 452

Analysis of Investment Projects

  (3 0 3)

This course presents that how statistical tools are used in evaluation and comparison of capital investment projects and financial investments. Uncertain nature of future returns and costs of projects are analyzed and decision making techniques are introduced.
IE 454

An Introduction to Combinatorial Analysis

  (3 0 3)

The aim of this course is to develop better skills in understanding, formulating and building combinatorial models. Real life cases are studied. Software packages are used for solution and analysis of models
 
IE 456

Mathematical Modeling and Application

  (3 0 3)

The aim of this course is to develop the skills in understanding, formulating and building mathematical modeling. Deterministic models in the areas of transportation, distribution, location, production and economic planning are analyzed. Real life cases are studied. Software packages are used for solution and analysis of models.
 
IE 458

Mathematical Models in Defense Systems

  (3 0 3)

Review of Military Operations Research, mathematical models in Defense Analysis; deterministic combat simulation (homogeneous, heterogeneous) models; stochastic (Lanchester, discrete-time) combat simulation (homogeneous, heterogeneous) models; weapon effectiveness index/attrition models; weapon system and munition planning models; hybrid land combat models; naval warfare simulation and modeling; air defense models.
 
IE 470

Reliability Engineering

  (3 0 3)

Introduction, basic ideas behind  product reliability and reasons for collecting reliability data, Models, types of reliability data, probability plotting, reliability and hazard functions, system reliability evaluation, model’s parameter estimation and reliability testing, life testing and accelerated life testing models, reliability improvement: warranty and preventive maintenance, case studies.
 
IE 471

Inventory Planning and Control

  (3 0 3)

The aim of this course is to develop better skills in understanding, formulating and building inventory planning and control models. Inventory policies for known demand and time varying demand, for uncertain demand and for special items are analyzed. Real life cases are studied. Software packages are used for solving the models.
 
IE 473

Material Handling Systems

  (3 0 3)

In this course, firstly manufacturing systems and importance of material handling will be reviewed. Secondly, material handling systems will be reviewed, including MHS design, ten principles of material handling and unit load concept. Then features and typical applications of material transport systems will be discussed. Mathematical analysis of vehicle based system will be studied on the basis of rate of deliveries and required number of vehicle. Applications of charting techniques in material handling and conveyor analysis will be studied. The last section deals with storage systems.
 
IE 474

Scheduling and Sequencing

  (3 0 3)

This course gives an introduction to scheduling problems techniques, principles, algorithms and computerized scheduling systems. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
 
IE 481

Optimization Techniques

  (3 0 3)

Special forms of simplex algorithm. Maxima, minima and saddle points. Lagrange multipliers and Kuhn-Tucker conditions. Univariate search methods. Gradient methods and constrained optimization techniques including penalty methods.
IE 491

Industrial Waste Management

  (3 0 3)

The course is composed of two main parts. The first part is designed to introduce the fundamentals of the subject, such as, definition of waste management, mass balance techniques to carry out simple flow diagram problems, pollution prevention, feasibility analysis, risk assessment, etc. The second part focuses on the major pollutants originating from the industries and their control using environmental technologies.
DESCRIPTION OF GRADUATE COURSES
  IE 501 Linear Optimization Methods

(3 0 3)

Mathematical Development of Simplex Algorithm. Formulations of Various Problems as Linear Programming  Problems.  Duality Theory and Economic Interpretations. The Revised Simplex, the Dual Simplex and the Primal-Dual Simplex Methods. Special Forms of Linear Programming Problems and Their Solution Methods. Sensitivity and Post-Optimality Analysis
  IE 502 Stochastic Processes

(3 0 3)

A Review of Probability Theory. Basic Foundations of Stochastic Processes. Bernoulli Processes. Poisson Process. Markov Chains and Markov Processes With Applications in Queuing Models. Renewal Processes and Their Applications in Reliability. Replacement and Inventory Problems.
  IE 503 Production Systems Analysis

(3 0 3)

An Analysis of Production Activities Under Total Systems Concept. Operation and Improvement of a Production System With an IE Perspective. Computer Integrated Manufacturing Systems (CIM), CAD, CAM. Material Handling Systems in Manufacturing Plants.
  IE 505 Production Planning and Scheduling

(3 0 3)

Analysis of Production Activities. Aggregate Production Planning. Lot Sizing. Material Requirements Planning. Cutting Stock. Line Balancing. Single Processor Scheduling.
  IE 506 Facilities Layout and Location

(3 0 3)

Theory, Modelling and Algorithms for  Facilities Layout Planning and Location Selection. Discussion of Various Applications in Public Servic, Production, Distribution, Warehousing and Flexible Manufacturing.
  IE 507 Nonlinear Optimization Methods

(3 0 3)

Concept of Convexity for  Functions and Sets. Kuhn-Tucker Conditions and Lagrangean Duality. Quadratic Programming. Steepest Descent, Newton-type, Quasi Newton and Gradient Methods for Unconstrained Optimization.  Penalty and Barrier Methods for Constrained Optimization.
  IE 508 Graph Theory with Applications

(3 0 3)

Basics of Graph Theory. Directed and Undirected Graphs, and Subgraphs. Shortest Paths and Spanning Trees. Solution Techniques for Maximum Flow and Minimal Cost Flow Problems. Multi-Commodity Networks and Graph Representations. Network Simplex Algorithm. Applications to Scheduling and Sequencing.   
  IE 509 Queuing Theory

(3 0 3)

An Intoduction of Queuing Systems and Their Basic Properties. Analysis of Birth and Death Processes. Single and Multi-Server Queues. Batch Server Queues. Chapman-Kolmogorov Equation and Its Implementations. Markov Chains. Applications in Manufacturing and Service System.  
  IE 510 Quality Management

(3 0 3)

Concept of Total Quality Management and Quality Assurance. On-Line and Off-Line Quality Conrol Activities. Quality Engineering in Product and Process Design. Taguchi’s Loss Funtion. 
  IE 511 Discrete Optimization Methods

(3 0 3)

Dynamic Programming. Integer Programming. Mixed Integer Programming. Zero-One Programming. Knapsack Problems. Cutting Planes and Polyhedral Approach. Branch and Bound Methods. Lagrangean Relaxation. Heuristics. Nonlinear Integer Programming. Applications to Various Areas.  
  IE 512 Decision Analysis

(3 0 3)

Fundamentals of Decision Analysis. Utility Measures and Risk Preference. Risk Assessment. Use of Decision Trees With Risk and Time Preference. Value of Sampled and Perfect Information. Bayesian Decision Making under Uncertainty.  
  IE 513 Inventory Theory

(3 0 3)

Study of Inventory Systems. Inventory Costs. EOQ Model. Deterministic and Stochastic Models with Fixed or Variable Reorder Intervals and Lead Times. Multi-Echolon Models. Heuritic Solutions to Some Inventory Models.   
  IE 514

Scheduling in Manufacturing Systems

(3 0 3)

Classification of scheduling problems, an overview of computational complexity theory. Deterministic scheduling and sequencing problems: single-stage, parallel machine, and multi-stage (open shop, flow shop, job shop, mixed shop) manufacturing environments. Dispatching. Exact solution techniques: linear (integer) programming, branch-and-bound methods, dynamic programming. Approximate solution techniques: Local search techniques (simulated annealing, tabu search, genetic algorithms), constructive algorithms. Applications to the real-life problems.
  IE 515

Engineering Management

(3 0 3)

This course addresses the role of the industrial engineer as a “manager” of continuous improvement in design and production processes. It provides modern tools and techniques for planning and managing team projects, integrating the concepts of total quality; data based decision-making, and resource management.
  IE 516

Mathematics for Operation Methods

(3 0 3)

The relationship between Operations Research and mathematics, mathematics as a language, the art of proof making, preliminary linear algebra, orthogonality, eigen values and vectors, positive definiteness, condition numbers, convex sets and functions, linear programming and duality theory; number systems, basic topology, continuity, differentiation, power series and special functions, Laplace and Z- transforms. Various OR applications from deterministic (continuous, discrete, static, dynamic) modeling, combinatorics, regression, optimization, graph theory, solution of equation systems as well as geometric and conceptual visualization of abstract mathematical concepts used in graduate studies.
  IE 518

Occupational Safety and Health Engineering

(3 0 3)

Introduction to the principles of safety and health hazards in the industrial environment. This course provides engineers with the fundamentals of measurement, evaluation, regulation, and control of hazardous conditions, toxic substances, physical agents, and dangerous processes in industrial operations, analysis of human factors related to injury prevention; research methods related to accident/incident data; safety standards development; methods of risk assessment and reduction; and advanced hazard communication. A wide variety of case studies are analyzed. This course addresses the role of the industrial engineer as a “manager” of continuous improvement in design and production processes. It provides modern tools and techniques for planning and managing team projects, integrating the concepts of total quality; data based decision-making, and resource management.
  IE 520

Ergonomics and Occupational Biomechanics

(3 0 3)

Fundamentals of ergonomics as applied to the industrial workplace. Specific topics such as: occupational biomechanics, anthropometry, work physiology, cumulative trauma disorders and slip and fall prevention applied to the organization and physical design of the workstation, effects of hand tool design on workers, and analysis of manual material handling jobs.
  IE 523

Facility Layout and Material Handling

(3 0 3)

Introduction to facility layout and location topics including activity relationships, space and personnel requirements, computer algorithms for constructing layouts, assembly line balancing, and both single and multiple facility location methodologies; material handling methods and equipment including conveyors, lift trucks, carousels, automated guided vehicles, and automated storage and retrieval systems are also discussed.
  IE 525

Cost Management for Advanced Manufacturing

(3 0 3)

This course focuses on current cost management topics such as activity based costing, life cycle costing, target costing and throughput accounting. Emphasis will be placed on the linkages to advanced manufacturing systems including performance measurement, design, cellular manufacturing, JIT and ERP.
  IE 528

Industrial Robotic Applications

(3 0 3)

This course focuses on the industrial robot as part of a flexible and automated manufacturing system. It introduces students to the basic elements of industrial robots and emphasizes knowledge needed to integrate these robots into a larger manufacturing system.
  IE 530 Automation in Production Systems

(3 0 3)

Flexible Manufacturing Systems (FMS) and Applications, Quantitative Analysis of FMS, Automated Production Lines, Automated Assembly Systems, Inspection Technologies. 
  IE 532 Automation in Manufacturing and Product Design

(3 0 3)

The goal of this course is to gain knowledge in the principles of automating product design and manufacture. Design conceptualization; design for X: manufacturability, assembleability, testability, use, etc. will be presented. Students will examine design and manufacturing integration issues as well as typical automated manufacturing equipment. Issues in concurrent engineering and necessary communication networks will also be studied.
  IE 535

Rapid Prototyping and Reverse Engineering

(3 0 3)

The course will focus on three aspects of the design and manufacturing of products. These include: (1) the fundamental of reverse engineering; (2) the creation of a computer based model and designs of a product from an existing product; and (3) the fundamental of the innovative new technology of rapid prototyping.
  IE 540 Design of Experiments

(3 0 3)

Analysis of variance, completely randomized designs, randomized complete block designs, other blocking configurations, nested designs, fixed, random and mixed models. Factorial experiments with qualitative and quantitative factors in various designs. Single degree of freedom contrasts. Confounding in factorial experiments, fractional factorial designs, response surface models.
  IE 542 Quality Assurance Systems

(3 0 3)

This course addresses how to apply the concepts and tools of total quality to develop, implement, and maintain an effective quality assurance system in a manufacturing or service organization.  Emphasis will be on both documentation development and team-based strategies for continuous improvement, using the ISO 9000:2000 Standard as a basis for quality system requirements. Topics to be covered in the course include: basic elements of a quality assurance system; quality standards such as ISO 9001, QS 9000, ISO 14001, others; structuring QMS documentation, strategic and competitive issues in QMS, continuous improvement through corrective and preventive actions. This course will include lectures by the instructor, guest lectures, group discussions and team-based experiences/workshops.
IE 544 Reliability Theory and Applications

(3 0 3)

Reliability concepts and data, reliability distributions, multi-component systems, standby redundancy, life testing, availability and maintainability, military standards and applications.  
  IE 550 Probability Theory and Statistics for Industrial Engineers

(3 0 3)

Intorduction to probability theory, probability distributions, estimation, hypothesis testing, analysis of variance, multiple linear regression, experimental design, and applications.    
  IE 551 Multiple Criteria Decision Making  

(3 0 3)

Overview and definitions of Multiple Criteria Decision Making (MCDM) concept. Decision space, objective space, convex sets, functions and test for convexity. MCDM examples. Decision analysis and utility theory. Basic techniques used in decision making for complex systems. Value of information, the concept of utility theory. Formulation of the general multiple criteria programming, classification of multiple criteria programming methods, decision making with discrete and continuous alternatives. Goal Programming, algorithms for goal programming, method of global criterion and compromise programming, multi parametric decomposition, multi criteria simplex method. Interactive approaches for MCDM.        
  IE 552 Heuristic Methods for Application

(3 0 3)

Heuristic methods are artificial intelligence search methods that can be used to find the optimal decisions for designing or managing a wide range of systems. This course covers applications and developments of heuristic search methods for solving complex optmization problems, detailing various local search strategies including genetic algorithms, simulated annealing, and taboo search. Algorithms will be used to find values of discrete and/or continuous variables that optimize system performance. Students can select application projects from a range of application areas. The advantages and disadvantages of heuristic search methods for both serial and parallel computation are discussed in comparison to other optimization algorithms.  
  IE 555 Logistics Engineering           

(3 0 3)

Physical distribution, after-sale services (product repair and maintenance), procurement, logistics performance and cost control, logistics concepts of product systems design. Overview of material handling. Packaging facilities repair and maintenance and automation in lojistics.
  IE 598 Graduate Seminar    

Non-credit

Presentation and discussion of current issues and works by graduate students in their relevant feilds. ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri
  IE 591 Special Studies     

(0 4 0)

This course is required for students who are enrolled in “Thesis” course.
  IE 599 Thesis ,tez yazım kuralları ,tez yazım merkezi ,tez yazim kilavuzu ,tez yazım yönergesi ,tez yazim klavuzu ,istanbul üniversitesi tez yazım kuralları ,tez yazım formatı ,tez yazim ,lisans tez yazım kuralları ,ankara tez yazım merkezleri ,tez yazım örneği ,tez yazım programı ,tez yazım teknikleri ,tez yazım kuralları istanbul üniversitesi ,tez yazım örnekleri

Non-credit

Directed independent research on a specific topic approved by the student’s adviser.  

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