1. To teach the concepts of logistics,
2. To teach logistics planning,
3. To teach the importance of mathematicalmodeling in design of logistics systems.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
Attendance is mandatory; students who have attended less than 60% of classes will receive zero points from the term project regardless of their exam grades. Each student is expected to actively participate in classroom discussions and exercises.
Instructor(s)
Assist. Prof. Dr. Duygun Fatih Demirel
Course Assistant(s)
-
Schedule
This course is not offered in this semester.
Office Hour(s)
This course is not offered in this semester.
Teaching Methods and Techniques
-Lecture
-Demonstration
Principle Sources
-Introduction to Logistics Systems Planning and Control, G. Ghiani, G. Laporte, R. Musmanno, Wiley, 2005.
Other Sources
-Business Logistics / Supply Chain Management, Ronald H. Ballou, Pearson-Prentice Hall, 5th Ed. 2004
-Supply Chain Management, Strategy, Planning and Operation, S. Chopra, P. Meindl, Pearson-Prentice Hall, 3rd Ed. 2007.
Course Schedules
Week
Contents
Learning Methods
1. Week
Overview of Logistics Terminology,
Logistic Processes and Related Decisions
Emerging Trends in Logistics
Oral presentation
2. Week
Introduction to Facility Location Models
Single-Facility Minisum Location Problems
Oral presentation
3. Week
Multi-Facility Minisum Location Problems, Extensions of Multi-Facility Minisum Location Problems
Oral presentation
4. Week
Location Problems in the Public Sector (p-center and Location Covering)
Oral presentation
5. Week
Project In-Class Study
Oral presentation
6. Week
Introduction of Issues Related to Warehouse Design and Operations, Models for Determining the Size, Dimensions, and Layout of a Warehouse
Oral presentation
7. Week
Product Allocation and Batch Formation Models
Oral presentation
8. Week
Project Mid-Presentations
Oral presentation
9. Week
Order Picker Routing and Packing Algorithms
Oral presentation
10. Week
Classification of Transportation Problems and Relevant Costs
Fleet Composition Models
Freight Traffic Assignment Models
Oral presentation
11. Week
Vehicle Routing Problems
Asymmetric Traveling Salesman Problem
Oral presentation
12. Week
Symmetric Traveling Salesman Problem
Oral presentation
13. Week
Project Presentations and Feedback Session
Oral presentation
14. Week
Holiday
Oral presentation
15. Week
Final Exam
16. Week
Final Exam
17. Week
Final Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Homework / Term Projects / Presentations
3
5
Project(s)
1
35
Project Presentations
2
10
Final Exam
1
50
Program Outcomes
PO-1
Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2
Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3
Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4
Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5
Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6
Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7
Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8
Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9
Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10
Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11
Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1
To know the internal or external systems of the companies
LO-2
To understand the structure of the integrated operation of logistics operations
LO-3
Understand the management of processes such as Supply, Sales, Warehouse, Inventory, Shipment, Vehicle Planning where information flow is provided