Ders İçerikleri

IE 212
Lean Process Design
(3+0+0) 3 Credits / 6 ECTS
Definition and brief history of production. Classification of processes in manufacturing and service organizations: service-process matrix, product-process matrix, layout types. Process analysis tools: process maps, Gannt chart, Pareto chart, operation chart. Process measurement. Lean production and lean thinking. Lean process design and improvement: operations purpose, design for manufacturability and assembly, tolerance and specifications, setup and tools, work design, waste detection and elimination, pull-push systems, just-in-time inventory, continuous improvement, value stream mapping.
Pre-requisites: NONE
Co-requisites: NONE
IE 222
Engineering Economy & Cost Analysis
(3+0+0) 3 Credits / 6 ECTS
Basics of financial accounting. Preparation of balance sheet, income statement and flow of funds statement. Definition of costs and cost analysis. Economic analysis for engineering decisions. Interest, time value of money, and methods for evaluation of alternatives. Techniques for evaluating the worth of investment opportunities. Sensitivity and risk analysis. After tax economic analysis, and methods of financing.
Pre-requisites: NONE
Co-requisites: NONE
IE 232
Mathematical Modeling and Optimization I
(3+0+0) 3 Credits / 6 ECTS
Linear programming models. Graphical solutions. Interpretation of solutions.The simplex method, duality, sensitivity analysis, and related topics.
Pre-requisites: MATH 203 OR MATH 112
Co-requisites: NONE
IE 311
Manufacturing and Service Operations Planning I
(3+0+0) 3 Credits / 6 ECTS
Aggregate production planning. Master production schedule. Capacity planning and material requirements planning. Machine scheduling.
Pre-requisites: IE 232
Co-requisites: NONE
IE 312
Manufacturing and Service Operations Planning II
(3+0+0) 3 Credits / 6 ECTS
Project management: budgeting and resource assignment. Stochastic inventory control problems: Base stock, (s, S), and (r, Q) policies. Capacity planning: work force planning, employee scheduling, buy-or-make decisions, call center applications. Revenue management. Customer relations management: strategies and techniques for attracting and retaining customers, statistical inference with data envelopment analysis and data mining techniques. Enterprise resource planning: information architecture including data flow models and entity relationship diagrams in manufacturing and service organizations. Planning in public and non-governmental organizations.
Pre-requisites: MATH 230 AND IE 232
Co-requisites: NONE
IE 316
Quality Planning and Control
(3+0+0) 3 Credits / 7 ECTS
Principles of quality control systems. Process control. Specification and tolerances. Process capability studies, and control charts. Acceptance sampling plans. Cost aspects of quality decisions.
Pre-requisites: MATH 232
Co-requisites: NONE
IE 331
Mathematical Modeling & Optimization II
(3+0+0) 3 Credits / 6 ECTS
Integer programming. Cutting plane algorithms and branch and bound techniques. Nonlinear programming. Network models.
Pre-requisites: IE 232
Co-requisites: NONE
IE 332
Mathematical Modeling & Optimization III
(3+0+0) 3 Credits / 6 ECTS
Decision making under uncertainty. Dynamic programming. Introduction to stochastic processes. Queuing models and applications. Markov chains and Markov processes. Game theory.
Pre-requisites: MATH 230
Co-requisites: NONE
IE 341
Simulation
(2+0+2) 3 Credits / 7 ECTS
Simulation methodology and model building. Modeling with a simulation language. Random number and random variate generation. Basic issues in the design, verification and validation of simulation models. Analysis of simulation output.
Pre-requisites: MATH 232
Co-requisites: NONE
IE 399
Summer Practice I
(1+0+0) 1 Credits / 2 ECTS
Minimum 20 consecutive working days of practice in a manufacturing system. Observation and system analysis.
Pre-requisites: IE 212
Co-requisites: NONE
IE 413
Operations Scheduling
(3+0+0) 3 Credits / 5 ECTS
Introduction to scheduling. Selected problems from a variety of manufacturing and service applications. Common modeling and solution methods and approaches. Project scheduling. Job shop scheduling. Flowshop scheduling. Lot sizing and scheduling. Reservation systems, timetabling, workforce and crew scheduling
Pre-requisites: NONE
Co-requisites: NONE
IE 414
Inventory Planning Problems
(3+0+0) 3 Credits / 5 ECTS
Economic Order Quantity model and extensions. Inventory control policies for stochastic demand. Joint replenishment problem. Introduction to multi-echelon inventory problems.
Pre-requisites: NONE
Co-requisites: NONE
IE 415
Modeling and Design of Production Systems
(3+0+0) 3 Credits / 5 ECTS
Analysis of the dynamics of production systems. Performance measures in production systems. Comparison of pull and push systems. Impact of uncertainty and variation in production system.
Pre-requisites: NONE
Co-requisites: NONE
IE 435
Heuristic Search
(3+0+0) 3 Credits / 5 ECTS
Introduction and categorization of heuristics. Overview of basic heuristic search procedures. Metaheuristics. Simulated annealing. Tabu search. Genetic algorithms. Ant colony algorithms. Evaluation of heuristic performance. Computational complexity of heuristics.
Pre-requisites: NONE
Co-requisites: NONE
IE 441
Stochastic Processes
(3+0+0) 3 Credits / 5 ECTS
Introduction to stochastic processes. Conditional expectation. Poisson processes. Markov processes.
Pre-requisites: MATH 230
Co-requisites: NONE
IE 444
Forecasting Methods
(3+0+0) 3 Credits / 5 ECTS
Statistical forecasting methods. Time series decomposition. Regression. Exponential smoothing. Box-Jenkins ARIMA models.
Pre-requisites: NONE
Co-requisites: NONE
IE 451
Decision and Risk Analysis
(0+0+0) 3 Credits / ECTS
Modeling of the decision problem: Structuring decisions, influence diagrams, decision trees, risk profiles, sensitivity analysis. Modeling uncertainty: Probability concepts, value of information, Monte Carlo simulation. Modeling preferences: Risk, utility theory, prospect theory.
Pre-requisites: MATH 230
Co-requisites: NONE
IE 454
Multi-Objective Decision Analysis
(3+0+0) 3 Credits / 5 ECTS
Quantitative decision analysis methods. Value hierarchies and value functions. Characterization of preferences under certainty and uncertainty. Analytical hierarchy process. Expected value analysis. Utility theory. Modeling risk attitudes in multi-attribute decisions, certainty equivalent calculations, group decisions.
Pre-requisites: NONE
Co-requisites: NONE
IE 461
Supply Chain Management
(3+0+0) 3 Credits / 5 ECTS
Multi-echelon inventory control problems. Coordination in supply chains. Contract design. Supply chain design.
Pre-requisites: NONE
Co-requisites: NONE
IE 464
Distribution Logistics
(3+0+0) 3 Credits / 5 ECTS
Distribution network design. Single echelon single item and multi- echelon multi-item location problems. Short haul and long haul transportation problems. Traveling sales person and vehicle routing problems, implementation areas.
Pre-requisites: NONE
Co-requisites: NONE
IE 482
Decision Making in Health Care
(3+0+0) 3 Credits / 5 ECTS
Application of industrial engineering and operations research methods in healthcare delivery, medical decision making, and public health planning.
Pre-requisites: NONE
Co-requisites: NONE
IE 491
Senior Project I
(1+4+0) 3 Credits / 6 ECTS
Prerequisite: Consent of the Department / Identification, definition, and formulation of a complex real-life industrial engineering problem in a manufacturing or service organization. System analysis. Conceptual systems design.
Pre-requisites: NONE
Co-requisites: NONE
IE 492
Senior Project II
(1+4+0) 3 Credits / 6 ECTS
System design: synthesis and implementation. Model validation. Solution methods. Alternative solution proposals and scenario analysis. Implementation strategies.
Pre-requisites: IE 491
Co-requisites: NONE
IE 499
Summer Practice II
(1+0+0) 1 Credits / 2 ECTS
Minimum 20 consecutive working days of summer practice in a manufacturing or a service system. Systems analysis. Identification and formulation of an industrial engineering problem.
Pre-requisites: IE 399
Co-requisites: NONE
IE 517
Production Planning
(3+0+0) 3 Credits / 7.5 ECTS
Integrated production planning. Master production schedule. Materials requirements planning. Capacity planning. Lot sizing. Inventory management. Make or buy decisions.
Pre-requisites: NONE
Co-requisites: NONE
IE 518
Service Management
(3+0+0) 3 Credits / 7.5 ECTS
Introduction to service systems. Classification of service systems. Analysis of flow type systems. Workforce capacity planning. Shift planning and workforce scheduling. Revenue management. Customer Relationship Management.
Pre-requisites: NONE
Co-requisites: NONE
IE 519
Operations Scheduling
(3+0+0) 3 Credits / 7.5 ECTS
Introduction to scheduling. Selected problems from various manufacturing and service applications. Common methods and approaches used to model and solve these problems. Project scheduling. Job shop scheduling. Flow shop scheduling. Lot sizing and scheduling. Reservation systems, timetabling, workforce and crew scheduling.
Pre-requisites: NONE
Co-requisites: NONE
IE 527
Logistics
(3+0+0) 3 Credits / 7.5 ECTS
Introduction to logistics. Logistics network design. Location problems. Warehouse design and management. Long distance freight transportation problems. Traveling salesperson problem. Vehicle routing problem.
Pre-requisites: NONE
Co-requisites: NONE
IE 529
Inventory Management in Supply Chains
(3+0+0) 3 Credits / 7.5 ECTS
Basic concepts, methods and design of supply chains, Inventory classification. Full time production strategies. Deterministic and probabilistic inventory planning methods. Planning, coordination, information sharing in supply chains. Supply chain contracts, collaborations and advantages. Supply strategies
Pre-requisites: NONE
Co-requisites: NONE
IE 537
Mathematical Programming for Engineering Management
(3+0+0) 3 Credits / 7.5 ECTS
Fundamentals of operations research modelling. Linear Programming. Simplex method. Duality theory. Sensitivity analysis. Integer programming. Dynamic programming.
Pre-requisites: NONE
Co-requisites: NONE
IE 538
Discrete Optimization
(3+0+0) 3 Credits / 7.5 ECTS
Modeling, relaxing and bounding techniques. Fundamental easy-to-solve problems. Matching and assignment problems. Dynamic programming. Complexity theory. Branch-and-bound method. Meta-heuristics such as tabu search, genetic algorithms and variable neighborhood search. Application examples.
Pre-requisites: NONE
Co-requisites: NONE
IE 539
Multi Criteria Decision Making
(3+0+0) 3 Credits / 7.5 ECTS
Multi-objective decision making with mutually exclusive alternatives. Multi-criteria benefit and utility theories. Multi-objective ranking and classification. Multi-objective mathematical programming. Evolutionary multi-objective optimization. Interactive methods and applications.
Pre-requisites: NONE
Co-requisites: NONE
IE 547
Modelling and Analysis of Uncertainty
(3+0+0) 3 Credits / 7.5 ECTS
Probability and fundamental theorems of probability. Conditional probability. Random variables. Discrete and continuous distributions. Expected value. Hypothesis tests. Variance analysis. Simple and multiple regression. Correlation analysis.
Pre-requisites: NONE
Co-requisites: NONE
IE 548
Decision Analysis
(3+0+0) 3 Credits / 7.5 ECTS
Introduction to decision analysis. Concept of probability and decision making under uncertainty. Decision trees. Group and strategic decision making. Quantitative decision making methods, quantitative analysis, simulation methods. Analytic hierarchy process. Management decision support systems
Pre-requisites: NONE
Co-requisites: NONE
IE 549
Risk Management
(3+0+0) 3 Credits / 7.5 ECTS
Risk definition and analysis. Types of uncertainty. Sources of uncertainty. Risk prediction, assessment and control. Quantitative risk assessment models. Making probabilistic inferences. Probabilistic scenario and sensitivity analysis. Monte-Carlo simulation. Decision making under uncertainty.
Pre-requisites: NONE
Co-requisites: NONE
IE 558
Business Process Flow Management
(3+0+0) 3 Credits / 7.5 ECTS
Products, processes and performance. Process flow metrics. Flow time analysis. Flow speed and analysis. Flow variability management. Lean operations. Process synchronization and improvement.
Pre-requisites: NONE
Co-requisites: NONE
IE 559
Revenue Management
(3+0+0) 3 Credits / 7.5 ECTS
Pricing. Price optimization, Price Differentiation, Revenue Management, Capacity Determination and Assignment, Overbooking Strategies, Discount Management.
Pre-requisites: NONE
Co-requisites: NONE