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Course Information
Course Unit Title : Logistics Optimization Methods
Course Unit Code : 01END6131
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : - To analysis a logistics problem
- To obtain a computer-based solution of a logistics problem
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : -
Languages of Instruction : Turkish-English
Course Goals : - Using the optimization methods for solving logistics problems
- Understanding the Vehicle/Inventory routing problems
- Modelling and solving the multi objective optimization problems
Course Aims : Solving the real life problems with optimal solutions in applications of logistics
WorkPlacement   -
Recommended or Required Reading
Textbook : - Lecture Notes
- Kay, M., Matlog: Logistics Engineering Toolbox using Matlab, NCSU, USA
- Taniguchi, E., Thompson,R.G., Yamada, T.,van Duin, R. (2008) City Logistics: Network Modelling and Intelligent Transport Systems, Emerald
- Ballou, R.H., (2004). Business Logistics/Supply Chain Management, 5th Ed., Pearson.
- Bartholdi, III, J.J., and Hackman, S.T., (2014). Warehouse & Distribution Science, version 0.96
- Chopra, S., and Meindl, (2016). Supply Chain Management: Strategy, Planning, and Operations, 6th Ed., Prentice-Hall.
Additional Resources : - Related literature papers
Material Sharing
Documents : -
Assignments : -
Exams : -
Additional Material : -
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 2 28  
Homeworks :
4 4 16  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 2 2  
Finals :
1 2 2  
Workload Hour (30) :
30  
Total Work Charge / Hour :
0  
Course's ECTS Credit :
0      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
0 0
Homework :
4 50
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Introduction to Logistics Optimization Methods
 
2 Facility Location I- Single Location
 
3 Facility Location I- Multi Location
 
4 Freight Transportation I
 
5 Freight Transportation II
 
6 Network Models I
 
7 Network Models II
 
8 City Logistics
 
9 Rotalama I- TSP
 
10 Rotalama II- VRP I
 
11 Rotalama III- VRP II
 
12 Rotalama IV- IRP I
 
13 Rotalama V- IRP II
 
14 Rotalama VI- Warehousing
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0
 
0