| Course Name | Advanced Modelling and Design Techniques for Supply Chain |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| BA 622 | Fall/Spring | 3 | 0 | 3 | 7.5 |
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | Elective | |||||
| Course Level | - | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | • To optimize the trade-offs encountered in logistics systems and to develop necessary analytical methods to establish a minimum cost highest quality of service. • To have students to demonstrate the ability to use management science, probability and statistics knowledge to make long, medium and short-term decisions regarding logistic system design, inventory management, warehouse design and operations, facility locations and freight transport. • To teach the ability to analyze and solve the complex logistics decision problems in a systematic perspective by using mathematical programming, heuristic algorithms and related computer applications. |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description | Student will be able to analyze the solutions to the problem; as a decision maker assess the likely consequences and the degree of applicability in the real world. |
| Related Sustainable Development Goals | |
|
| Core Courses | |
| Major Area Courses | X | |
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Required Materials |
| 1 | Introduction to humanitarian logisticsIntroduction: Logistics system analysis A review of Mathematical Programming | GLM – Ch. 1 |
| 2 | GAMS software Logistics network design | GLM – Ch. 3 |
| 3 | Logistics network design Facility location problem GAMS software | GLM – Ch. 3 |
| 4 | Multiple Criteria Decision Making | GLM – Ch. 4 and lecture notes |
| 5 | Classification of transport problems Fleet composition | GLM – Ch. 6.1 & Ch. 6.6 |
| 6 | Freight Traffic Problems | GLM – Ch. 6.2 |
| 7 | Service network design problems | GLM – Ch. 6.3 |
| 8 | Midterm Exam | |
| 9 | Shipment consolidation and dispatching Models for intermodal selection | GLM – Ch. 6.7 |
| 10 | Vehicle allocation problem Driver assignment problem | GLM – Ch. 6.4 & Ch. 6.5 |
| 11 | Short-haul freight transportation Vehicle Routing Problem | GLM – Ch. 6.8 |
| 12 | Vehicle Routing Problem | GLM – Ch. 6.8 |
| 13 | Vehicle Routing Problem | GLM – Ch. 6.8 |
| 14 | Designing and operating a Warehouse | GLM – Ch. 5 |
| 15 | Semester Review | |
| 16 | Final Exam |
| Course Notes/Textbooks | Humanitarian logistics / Rolando Tomasini and Luk Van Wassenhove. Hampshire, Palgrave Macmillan, 2009.
|
| Suggested Readings/Materials |
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | 3 | 30 |
| Presentation / Jury | ||
| Project | 1 | 40 |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 30 |
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade | 5 | 100 |
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 0 | ||
| Field Work | |||
| Quizzes / Studio Critiques | |||
| Portfolio | |||
| Homework / Assignments | 3 | 30 | |
| Presentation / Jury | |||
| Project | 1 | 40 | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 40 | |
| Final Exams | |||
| Total | 218 |
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To be able to master existing theoretical knowledge in their specialized area of business administration. | X | ||||
| 2 | To be able to gain in-depth knowledge of research methodologies and design. | X | ||||
| 3 | To be able to acquire advanced knowledge of data collection and analysis techniques. | X | ||||
| 4 | To be able to design and conduct original research with a scholarly theoretical emphasis. | X | ||||
| 5 | To be able to disseminate scholarly knowledge in well-known academic networks. | X | ||||
| 6 | To be able to demonstrate the ability to communicate the results of their research in a clear and effective manner with various audiences. | X | ||||
| 7 | To be able to have concerns for the high ethical standards in research, and teaching. | X | ||||
| 8 | To be able to adopt critical attitude toward the extant literature and practice in the specialized area of business administration. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
