GRADUATE SCHOOL

Logistics Management (Without Thesis)

LOG 522 | Course Introduction and Application Information

Course Name
Quantitative Methods in Logistics Management
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
LOG 522
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims at teaching a variety of methods useful in solving management problems in logistics activities so that the students can gain a quantitative foundation in basic mathematical modelling and problem solving that will be helpful in the higher level courses such as Design and Analysis of Logistics Systems and Simulation in Supply Chain and Logistics.
Learning Outcomes The students who succeeded in this course;
  • will be able to learn how to analyse complex management problems
  • will be able to learn how to apply the systems approach to complex management problems
  • will be able to solve public and private business decision making problems via linear and integer mathematical optimization models
  • will be able to solve complex mathematical models by means of computer software
  • will be able to interpret the solutions of mathematical optimization models
Course Description The main emphasis of the course is how to model a managerial problem using mathematical modelling (Linear programming and Integer programming). Many examples from different application areas are given. Solution techniques for some special problems are discussed.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Modelling Operations Research Applications and Algorithms Chp 1
2 Modelling with Linear Programming Operations Research Applications and Algorithms Chp 3
3 Modelling with Linear Programming Operations Research Applications and Algorithms Chp 3
4 Modelling with Linear Programming: Solving examples of linear programming models Operations Research Applications and Algorithms Chp 3
5 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
6 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
7 Midterm
8 Integer Linear Programming Models Operations Research Applications and Algorithms Chp 9
9 Linear Programming Transportation Models Operations Research Applications and Algorithms Chp 7
10 Network Optimization Models Operations Research Applications and Algorithms Chp 8
11 Network Optimization Models Operations Research Applications and Algorithms Chp 8
12 Network Optimization Models Operations Research Applications and Algorithms Chp 8
13 Decision Making Models Operations Research Applications and Algorithms Chp 13
14 Decision Making Models Operations Research Applications and Algorithms Chp 13
15 Decision Making Models Operations Research Applications and Algorithms Chp 13
16 Review of the Semester

 

Course Notes/Textbooks

Course notes and reading material, Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prencite Hall, New Jersey

Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
-
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
15
Presentation / Jury
Project
-
-
Seminar / Workshop
Oral Exams
Midterm
1
40
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
6
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
3
48
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
5
15
75
Presentation / Jury
0
Project
-
-
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
25
25
Final Exam
1
29
29
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Being able to contribute to the institution the participant works for and the logistics sector by the use of the knowledge and abilities gained during the education period; and manage change in the institution and the sector; X
2 Reaching a competency about contemporary business and technology applications in the area of logistics and supply chain management and analysis and strategy development methods; X
3 Being able to create opportunities by combining supply chain management with information technologies and innovative processes by the use of the interdisciplinary courses the participants take; X
4 Having the ability to develop creative solutions by working on global logistics and supply chain subjects and realizing these by the use of their project management knowledge; X
5 Having the knowledge, abilities and capabilities required for effective logistics and supply chain management by the use of a problem and case analysis based learning; X
6 Being able to examine logistics and supply chain processes with the management science viewpoint, analyze related concepts and ideas by scientific methods; X
7 If continuing to work in the academia, having the necessary information on logistics applications; if continuing to work in the sector, having the necessary knowledge on conceptual subjects; X
8 Being able to specify appropriate research questions about his/her research area, conduct an effective research with the use of necessary methods and apply the research outcomes in the sector or the academia;
X
9 Being able to follow the changes and developments in the sector the participant works in, in order to keep his/her personal and professional competence updated and develop himself/herself when necessary; X
10 Be experts in the fields of logistics and supply chain with the help of the sectorfocused education they receive; X
11 Have the necessary capabilities to pursue doctoral studies in national and foreign institutions X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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