Faculty Of Economıc, Admınıstratıve And Socıal Scıences
Internatıonal Tradıng And Logıstıcs (Englısh)
Course Information
| LOGISTIC PLANNING AND MODELING | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| ITL412 | Spring | 3 | 0 | 3 | 5 |
| Prerequisites and co-requisites | None |
|---|---|
| Language of instruction | English |
| Type | Elective |
| Level of Course | Bachelor's |
| Lecturer | Doç.Dr. Mustafa Bekmezci |
| Mode of Delivery | Face to Face |
| Suggested Subject | None |
| Professional practise ( internship ) | None |
| Objectives of the Course | The aim of this course is to provide the ability to use numerical models to solve supply chain problems. |
| Contents of the Course | Planning and forecasting, time-series forecasting, weighted moving averages, exponential smoothing, measuring forecasy error, exponential smoothing with trend adjustment, trend projections, locating strategies, warehousing and storage layouts, inventory management, linear programming, transportation, transshipmentand assignment problems. |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Recognize forecasting |
| 2 | Recognize location strategies |
| 3 | Recognize inventory management |
| 4 | Recognize warehousing and warehouuse layout |
| 5 | Recognize transportation and transshipment |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Planning and forecating | Fec to face |
| 2 | Time-series forecasting | Face to face |
| 3 | Weighted moving averages | Face to face |
| 4 | Exponential smoothing | Face to face |
| 5 | Measuring forecast error | Face to face |
| 6 | Exponential smoothing with trend adjustment | Face to face |
| 7 | Trend projections | Face to face |
| 8 | Exam | |
| 9 | Locating strategies | Face to face |
| 10 | Warehousing and storage layouts | Face to face |
| 11 | Inventory management | Face to face |
| 12 | Linear programming: Model formulation and graphic solution | Face to face |
| 13 | Linear programming: Model formulation and graphic solution | Face to face |
| 14 | Linear programming: Computer solution | Face to face |
| 15 | Transportation, transshipment and assignment problems | Face to face |
| 16 | Final Exam |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|---|---|---|
| 1 | Taylor, B.W. (2013). Introduction to Management Science, 11. ed., Pearson, USA. | ||
| 2 | Heizer, J., Render, B. ve Munson, C. (2017). Operations Management, 12.ed., Pearson, USA. |
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-Term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | Recognize forecasting | 2͵6͵7͵10͵16 | 1͵2 |
| 2 | Recognize location strategies | 2͵6͵7͵10͵16 | 1͵2 |
| 3 | Recognize inventory management | 2͵6͵7͵10͵16 | 1͵2 |
| 4 | Recognize warehousing and warehouuse layout | 2͵6͵7͵10͵12͵16 | 1͵2 |
| 5 | Recognize transportation and transshipment | 2͵6͵7͵10͵16 | 1͵2 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 3 | 42 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 4 | 56 |
| 3 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 4 | Web Research, Library and Archival Work | 1 | 10 | 10 |
| 5 | Document/Information Listing | 1 | 10 | 10 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 1 | 10 | 10 |
| 8 | Midterm Exam | 1 | 1 | 1 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 0 | 0 | 0 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 0 | 0 | 0 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 1 | 20 | 20 |
| 16 | Final Exam | 1 | 1 | 1 |
| 150 | ||||