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Course Information
| Course Unit Title |
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Logistics Optimization Methods |
| Course Unit Code |
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01END6131 |
| Type of Course Unit |
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Optional |
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Level of Course Unit
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Second Cycle |
| Year of Study
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Preb |
| Semester
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255.Semester |
| Number of ECTS Credits Allocated
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6,00 |
| Name of Lecturer(s) |
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---
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| Course Assistants |
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| Learning Outcomes of The Course Unit |
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- To analysis a logistics problem
- To obtain a computer-based solution of a logistics problem
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| Mode of Delivery |
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Face-To-Face
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| Prerequisities and Co-requisities Courses |
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Unavailable
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| Recommended Optional Programme Components |
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Unavailable
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| Course Contents |
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-
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Languages of Instruction |
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Turkish-English
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| Course Goals |
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- Using the optimization methods for solving logistics problems
- Understanding the Vehicle/Inventory routing problems
- Modelling and solving the multi objective optimization problems
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Course Aims |
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Solving the real life problems with optimal solutions in applications of logistics
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WorkPlacement |
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-
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Recommended or Required Reading
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Textbook
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- 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.
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Additional Resources
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- Related literature papers
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Material Sharing
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Documents
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Assignments
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-
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Exams
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-
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Additional Material
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-
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Planned Learning Activities and Teaching Methods
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Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
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ECTS / Table Of Workload (Number of ECTS credits allocated)
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Student workload surveys utilized to determine ECTS credits.
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Activity
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Course Duration (Excluding Exam Week)
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Time Of Studying Out Of Class
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Homeworks
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Presentation
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Project
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Lab Study
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Field Study
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Visas
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Finals
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Workload Hour (30)
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Total Work Charge / Hour
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Course's ECTS Credit
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Assessment Methods and Criteria
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Studies During Halfterm
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Visa
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Quiz
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Homework
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Attendance
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Application
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Lab
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Project
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Workshop
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Seminary
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Field study
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TOTAL
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The ratio of the term to success
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The ratio of final to success
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TOTAL
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Weekly Detailed Course Content
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Week
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Topics
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1
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Introduction to Logistics Optimization Methods
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2
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Facility Location I- Single Location
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3
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Facility Location I- Multi Location
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4
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Freight Transportation I
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5
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Freight Transportation II
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6
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Network Models I
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7
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Network Models II
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8
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City Logistics
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9
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Rotalama I- TSP
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10
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Rotalama II- VRP I
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11
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Rotalama III- VRP II
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12
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Rotalama IV- IRP I
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13
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Rotalama V- IRP II
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14
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Rotalama VI- Warehousing
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0
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