GRADUATE SCHOOL

Logistics Management (Without Thesis)

LOG 551 | Course Introduction and Application Information

Course Name
Simulation in Supply Chain and Logistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
LOG 551
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 Problem Solving
Simulation
Lecture / Presentation
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives Teach fundamentals of modeling and simulation for static and dynamic systems,
Teach a simulation software (ARENA),
Familiarize with applications in logistics management and logistics operations,
Provide handson experience of both analytical and modeling aspects of simulation,
Provide tools for analyzing input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models.
Learning Outcomes The students who succeeded in this course;
  • Student will be able to analyze real life logistics systems.
  • Student will be able to guide business decisions using simulation.
  • Student will be able toevaluate possible outcomes in the business environment using simulation.
  • Student will be able to model real life logistics system.
  • Student will be able to optimize real life logistics systems.
  • Student will be able to use statistical techniques to draw conclusions from observations and experimentation.
Course Description This course aims to teach fundamentals of modeling and simulation with applications in logistics management and logistics operations. Emphasis is placed on handson experience of both analytical and modeling aspects of simulation.
Analysis topics include input distributions and processes, methods for generating random numbers and processes, statistical analysis of output, experimental design and optimizing simulation models.
Modeling topics include model construction for static or dynamic systems, issues about level of detail, the simplifying assumptions, model validation and verification using a highlevel modeling package.

 



Course Category

Core Courses
X
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 simulation Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 1)
2 Simulation examples and general principles Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 2)
3 Simulation software Introduction to Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 3)
4 Arena Basics Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 3)
5 Review of basic probability and statistics / Random numbers and random variates Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 12)
6 Review of the Semester  
7 Queuing Models / Input Data Analysis Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 13)
8 Modeling basic operations and inputs with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 4)
9 Modeling basic operations and inputs with Arena (continued) Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 4)
10 Modeling basic operations and inputs with Arena (continued) Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 4)
11 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 5)
12 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 5)
13 Modeling detailed operations with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 5)
14 Verification and Validation of Simulation Models Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 7)
15 Output Analysis with Arena Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena (2007) (Chp. 6)
16 Review of the Semester  

 

Course Notes/Textbooks Assignments and class discussions include assigned cases, academic articles and/or other assignments as well as the accompanying discussion of these assignments in class. Details about each assignment will be given to the students at least one week prior to due date.
Suggested Readings/Materials Additional Reference Books DiscreteEvent System Simulation, 4/E, J Banks, J Carson, B L. Nelson, D Nicol, Prentice Hall, 2005. Web Sites Academic Journals

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
16
15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
4
10
Presentation / Jury
Project
1
35
Seminar / Workshop
Oral Exams
Midterm
2
40
Final Exam
Total

Weighting of Semester Activities on the Final Grade
100
Weighting of End-of-Semester Activities on the Final Grade
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
4
64
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
4
7
28
Presentation / Jury
0
Project
1
45
45
Seminar / Workshop
0
Oral Exam
0
Midterms
2
20
40
Final Exam
0
    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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