FACULTY OF BUSINESS
Department of Logistics Management
SOCIAL MEDIA
LOG 312 | Course Introduction and Application Information
| Course Name |
Simulation in Logistics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
LOG 312
|
Fall/Spring
|
2
|
2
|
3
|
6
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Service Course
|
|||||||
| Course Level |
First Cycle
|
|||||||
| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | Problem SolvingSimulationLecture / 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;
|
| 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. |
|
|
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 | Queuing Models Input Data Analysis | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 13) |
| 7 | Modeling basic operations and inputs with Arena | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 4) |
| 8 | Modeling basic operations and inputs with Arena (continued) | 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 detailed operations with Arena | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 5) |
| 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 | Verification and Validation of Simulation Models | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 7) |
| 14 | Output Analysis with Arena | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 6) |
| 15 | Simulation of Manufacturing and Material Handling Systems | Kelton W. D., Sadowski R. P., Sturrock D. T.Simulation with Arena (2007)(Chp. 8) |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Kelton W. D., Sadowski R. P., Sturrock D. T. Simulation with Arena Details about each assignment will be given to the students at least one week prior to due date. |
| Suggested Readings/Materials | Additional Reference BooksDiscreteEvent 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
|
10
|
| Laboratory / Application |
16
|
|
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
2
|
10
|
| Presentation / Jury | ||
| Project |
1
|
25
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
25
|
| Final Exam |
1
|
30
|
| 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
|
2
|
32
|
| Study Hours Out of Class |
16
|
1
|
16
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
2
|
7
|
14
|
| Presentation / Jury |
0
|
||
| Project |
1
|
21
|
21
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
20
|
20
|
| Final Exam |
1
|
27
|
27
|
| Total |
178
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to analyze complex problems in the field of logistics and supply chains |
X | ||||
| 2 | To be able to have good knowledge of sector related market leaders, professional organizations, and contemporary developments in the logistics sector and supply chains |
X | ||||
| 3 | To be able to participate in the sector-related communication networks and improve professional competencies within the business sector |
X | ||||
| 4 | To be able to use necessary software, information and communication technologies in the fields of logistics management and supply chain |
X | ||||
| 5 | To be able to understand and utilize the coordination mechanisms and supply chain integration |
X | ||||
| 6 | To be able to analyze the logistics and supply chain processes using the management science perspective and analytical approaches |
X | ||||
| 7 | To be able to design, plan and model in order to contribute to decision making within the scope of logistics and supply chains |
X | ||||
| 8 | To be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chains |
X | ||||
| 9 | To be able to conduct projects and participate in teamwork in the field of logistics and supply chains |
X | ||||
| 10 | To be able to have an ethical perspective and social responsiveness when making and evaluating decisions. |
X | ||||
| 11 | To be able to collect data in the area of logistics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1). |
X | ||||
| 12 | To be able to speak a second foreign at a medium level of fluency efficiently. |
X | ||||
| 13 | To be able to relate the knowledge accumulated throughout human history to their field of expertise. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
SOCIAL MEDIA
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