COURSE UNIT TITLE

: QUEUING THEORY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 4176 QUEUING THEORY ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR HANIFI OKAN IŞGÜDER

Offered to

Statistics
Statistics(Evening)

Course Objective

The main objective of this course is to provide an introduction to queuing models which are also known as waiting lines in industrial systems. Basic queuing systems and performance measures of these queuing systems will be examined. Cost structure of queuing models will also be covered. It is expected that students should have to know basic components of a simple queuing system and how to operate the system better.

Learning Outcomes of the Course Unit

1   Defining basic concepts of queuing systems
2   Explaining the relationship between queuing systems and stochastic processes
3   Determining interarrival and service processes using statistical distributions and real or generated data
4   Calculating the performance measures of queuing systems which can and cannot be expressed as birth and death processes
5   Constructing a computer program, to obtain performance measures of basic queuing systems, using a computer software
6   Calculating the performance measures of queuing systems with the use of statistical packages
7   Making economic interpretation of queuing systems cost components
8   Suggesting solutions in order to work the queuing system more efficient

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts of queuing systems
2 The relationship between queuing systems and stochastic processes: Birth-and-death processes
3 Modeling arrival and service processes
4 Kendall Lee-Taha Notation and M/M/1 Queuing model
5 M/M/c Queuing model
6 M/M/1/K Queuing model
7 M/M/c/K Queuing model, Formula of Erlangen
8 Mid-term exam
9 Introduction to queuing systems which have non birth-and-death processes
10 M/Er/1 Queuing model
11 Er/M/1 Queuing model
12 Examples
13 Cost structure of queuing models: Modeling cost function
14 Strategic decisions in queuing systems

Recomended or Required Reading

Textbook(s):
W.L. Winston, Introduction to Operations Research, Applications and Applications, 3rd edition, Duxbury Press, 1994
Supplementary Book(s):
1. H. Taha, Operations Research, McGraw Hill, 7th edition, 2003.
2. F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, McGraw Hill, 1995.
3. L. Kleinrock, Queuing Systems- Volume I, Wiley-Interscience, 1975.

Planned Learning Activities and Teaching Methods

Lecture, homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of midterm exam and homework.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: umay.uzunoglu@deu.edu.tr
Tel: 0232 301 85 60

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Lectures 13 3 39
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 17 17
Preparation for final exam 1 23 23
Preparing assignments 1 4 4
Preparing presentations 1 2 2
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 17 17
Preparation for final exam 1 23 23
Preparing assignments 1 4 4
Preparing presentations 1 2 2
Final 1 2 2
Midterm 1 2 2
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 226

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.154344
LO.254344
LO.3554344
LO.454344
LO.5554344
LO.6543454
LO.7554344
LO.8554344

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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