Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Industrial Engineering
  • Course Structure Diagram with Credits
  • Production and Operations Planning I
  • Description
  • Description
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Course Introduction Information

Code - Course Title ENM319 - Production and Operations Planning I
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOÇENT DOKTOR MEHMET ALEGÖZ, DOKTOR ÖĞRETİM ÜYESİ EMİNE AKYOL ÖZER
Mode of Delivery Face-to-Face
Prerequisites None
Courses Recomended None
Recommended Reading List
Assessment methods and criteria 2 Midterm Exam, 1 Final Exam
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Strategy and Competition, A Framework for Operations Strategy, Learning and Experience Curves, Capacity Growth Planning
Week - 2 The Time Horizon in Forecasting, Characteristics of Forecasts, Subjective Forecasting Methods, Objective Forecasting Methods, Causal Models, Time Series Methods, Evaluating Forecasts, Methods for Forecasting Stationary Series, Moving Averages, Exponential Smoothing, Multiple-Step-Ahead Forecasts, Comparison of Exponential Smoothing and Moving Averages
Week - 3 Trend-Based Methods, Regression Analysis, Double Exponential Smoothing Using Holt’s Method, Methods for Seasonal Series, Seasonal Factors for Stationary Series, Determining the Deseasonalized Series
Week - 4 Question Hour 1: Forecasting
Week - 5 Sales and Operations Planning Problem, Key Performance Indicators, The Role of Uncertainty, Aggregate Planning of Capacity, Costs in Aggregate Capacity Planning, A Prototype Problem,
Week - 6 Aggregate Planning with Chase Strategy, Aggregate Planning with Level Strategy, Aggregate Planning with Mixed Strategy, Optimization of Aggregate Planning
Week - 7 Question Hour 2: Sales and Operations Planning, Quiz 1
Week - 8 Midterm
Week - 9 Service Operations Management, Service Operations Strategy, Flow Systems, Process Flow Diagrams, Capacity, Flow Rates and Utilization, Modeling Unscheduled Arrivals, Poisson Process, Exponential Interarrival Times, General Arrival Processes, Pooling in Services, Probability of Delay
Week - 10 Queueing Systems, Structural Aspects of Queueing Models, Notation, Little’s law, The M/M/1 Queue, The M/M/n Queue
Week - 11 EN: EN: Push and Pull Production Control Systems, MRP Basics, JIT Basics, Alternative Lot-Sizing Schemes, The Silver–Meal Heuristic, Least Unit Cost, Part Period Balancing
Week - 12 Incorporating Lot-Sizing Algorithms into the Explosion Calculus, Lot Sizing with Capacity Constraints, Shortcomings of MRP: Uncertainty, Capacity Planning, Rolling Horizons and System Nervousness
Week - 13 JIT Fundamentals, The Mechanics of Kanban, Single Minute Exchange of Dies, Advantages and Disadvantages of the Just-in-Time Philosophy, Implementation of JIT, A Comparison of MRP and JIT
Week - 14 Question Hour 3: Push and Pull Production Control Systems, Quiz 2

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Effective use of a foreign language
  • Use time effectively
  • Problem solving
  • Information Management
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Quiz 1 20
Final Exam 1 50
Toplam (%) 100
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