| Course Name | Quantitative Methods in Logistics Management |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| LOG 522 | Fall/Spring | 3 | 0 | 3 | 7.5 |
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | Elective | |||||
| Course Level | Second Cycle | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | This course aims at teaching a variety of methods useful in solving management problems in logistics activities so that the students can gain a quantitative foundation in basic mathematical modelling and problem solving that will be helpful in the higher level courses such as Design and Analysis of Logistics Systems and Simulation in Supply Chain and Logistics. |
| Learning Outcomes | The students who succeeded in this course;
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| Course Description | The main emphasis of the course is how to model a managerial problem using mathematical modelling (Linear programming and Integer programming). Many examples from different application areas are given. Solution techniques for some special problems are discussed. |
| Related Sustainable Development Goals | |
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| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Required Materials |
| 1 | Introduction to Modelling | Operations Research Applications and Algorithms Chp 1 |
| 2 | Modelling with Linear Programming | Operations Research Applications and Algorithms Chp 3 |
| 3 | Modelling with Linear Programming | Operations Research Applications and Algorithms Chp 3 |
| 4 | Modelling with Linear Programming: Solving examples of linear programming models | Operations Research Applications and Algorithms Chp 3 |
| 5 | Integer Linear Programming Models | Operations Research Applications and Algorithms Chp 9 |
| 6 | Integer Linear Programming Models | Operations Research Applications and Algorithms Chp 9 |
| 7 | Midterm | |
| 8 | Integer Linear Programming Models | Operations Research Applications and Algorithms Chp 9 |
| 9 | Linear Programming Transportation Models | Operations Research Applications and Algorithms Chp 7 |
| 10 | Network Optimization Models | Operations Research Applications and Algorithms Chp 8 |
| 11 | Network Optimization Models | Operations Research Applications and Algorithms Chp 8 |
| 12 | Network Optimization Models | Operations Research Applications and Algorithms Chp 8 |
| 13 | Decision Making Models | Operations Research Applications and Algorithms Chp 13 |
| 14 | Decision Making Models | Operations Research Applications and Algorithms Chp 13 |
| 15 | Decision Making Models | Operations Research Applications and Algorithms Chp 13 |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Course notes and reading material, Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prencite Hall, New Jersey |
| Suggested Readings/Materials |
| Semester Activities | Number | Weigthing |
| Participation | - | 5 |
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | 5 | 15 |
| Presentation / Jury | ||
| Project | - | - |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 40 |
| Final Exam | 1 | 40 |
| Total |
| Weighting of Semester Activities on the Final Grade | 6 | 60 |
| Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
| 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 | 16 | 3 | 48 |
| Field Work | |||
| Quizzes / Studio Critiques | |||
| Portfolio | |||
| Homework / Assignments | 5 | 15 | |
| Presentation / Jury | |||
| Project | - | - | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 25 | |
| Final Exams | 1 | 29 | |
| Total | 225 |
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | Being able to contribute to the institution the participant works for and the logistics sector by the use of the knowledge and abilities gained during the education period; and manage change in the institution and the sector | X | ||||
| 2 | Reaching a competency about contemporary business and technology applications in the area of logistics and supply chain management and analysis and strategy development methods | X | ||||
| 3 | Being able to create opportunities by combining supply chain management with information technologies and innovative processes by the use of the interdisciplinary courses the participants take | X | ||||
| 4 | Having the ability to develop creative solutions by working on global logistics and supply chain subjects and realizing these by the use of their project management knowledge | X | ||||
| 5 | Having the knowledge, abilities and capabilities required for effective logistics and supply chain management by the use of a problem and case analysis based learning | X | ||||
| 6 | Being able to examine logistics and supply chain processes with the management science viewpoint, analyze related concepts and ideas by scientific methods | X | ||||
| 7 | If continuing to work in the academia, having the necessary information on logistics applications; if continuing to work in the sector, having the necessary knowledge on conceptual subjects | X | ||||
| 8 | Being able to specify appropriate research questions about his/her research area, conduct an effective research with the use of necessary methods and apply the research outcomes in the sector or the academia | X | ||||
| 9 | Being able to follow the changes and developments in the sector the participant works in, in order to keep his/her personal and professional competence updated and develop himself/herself when necessary | X | ||||
| 10 | Be experts in the fields of logistics and supply chain with the help of the sector-focused education they receive | X | ||||
| 11 | Have the necessary capabilities to pursue doctoral studies in national and foreign institutions. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
