Information Package

Ph.D. on Industrial Engineering

END621

QUEUING THEORY

Course Code
END621
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Learning the basics of the theory of Markov chains
  2. Learning the Little formulation and applications
  3. an ability to analyze and identify the models and the status of Markov chains
  4. an ability to apply the selected applications of Markov chains
  5. an ability to design and analysis of priority queuing systems
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionCharacteristics of queuing systems, birth and death processes. Single or multi-service queuing models with or without Markov property (M/M/1, M/M/c, G/M/c, M/G/1). Steady-state analysis. The optimal control of queues. Queue Networks. The applications of queuing theory on Manufacturing and computer systems.
Course Contents
WEEK TOPICS
1st Week Classification of Queing systems
2nd Week Markov processes into discrete and continuous time
3rd Week Birth and death processes
4th Week Markov M/M/k/m queing systems
5th Week The Little's formulation
6th Week Cumulative arrivals and service systems
7th Week Non-Markov queing systems
8th Week Midterm
9th Week Semi-Markov processes
10th Week M/G/1 system
11th Week G/M/1 and G/G/1 systems
12th Week Queing networks of Jackson's type
13th Week Balance equations, Stationary distribution
14th Week Case studies
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 25
Assignment 4 20
Attendance 1 10
Presentation of Article 1 20
Total(%) 75
Contribution of In-term Studies to Overall Grade(%) 75
Contribution of Final Examination to Overall Grade(%) 25
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 11 154
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 5 14 70
Total Work Load310
Total Work Load / 30 (h)10.33
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X X X
K2 X
K3 X
K4
K5 X X
K6
K7
K8
K9
K10
K11