| LOGISTIC MANAGEMENT | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| BA3464 | Management Science | Spring | 3 | 0 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Must Course |
| Course Level: | Bachelor |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Prof. Dr. YAVUZ GÜNALAY |
| Course Lecturer(s): |
Prof. Dr. YAVUZ GÜNALAY Dr. Öğr. Üyesi LEVENT AKSOY |
| Course Objectives: | Students are introduced with analytical modeling tools, and they are asked to model both deterministic and probabilistic business problems using these tools. Spreadsheet software are gaining an undeniable importance/usage both in modeling and solving problems in today’s organizations. Thus, in this course students are introduced to spreadsheet modeling concepts and they are expected to use these software at a moderate level. |
|
The students who have succeeded in this course; The students who have succeeded in this course; 1. Aware of the importance of modelling and mathematical modelling methodology. 2. Be able to differentiate deterministic and probabilistic models. 3. Be able to generate linear programming and discrete programming models. 4. Able create multi-criteria decision models. 5. Able to do sensitivity analysis. 6. Define and use network models. |
| Description of Operations Research and modeling are introduced. Topics that are discussed include: Deterministic models such as Linear Programing, Integer Programming, Multi-criteria programming, and Probabilistic modeling tools, simulation and queueing. |
| Week | Subject | Related Preparation | |
| 1) | Introduction to Operations Research (Management Science) | ||
| 2) | Linear Programming (LP) models | ||
| 3) | Use of computers to solve LP models. | Excel usage and Solver plug-in | |
| 4) | Sensitivity analysis of LP results. | ||
| 5) | Application of LP models to business problems. | ||
| 6) | Application of LP models to business problems. (cont) | ||
| 7) | Application of LP models to business problems. (cont.) | ||
| 8) | Review | ||
| 9) | Integer Programming | ||
| 10) | Integer and Non-linear programming. | ||
| 11) | Probabilistic models (Queueing, Inventory management) | ||
| 12) | Simulation | Review statistics subects. | |
| 13) | Simulation | ||
| 14) | Review. | ||
| Course Notes: | Ders Kitabı: Introduction to Management Science, by B. W. Taylor 11th Ed., Pearson, 2013. |
| References: | Textbook: Introduction to Management Science, by B. W. Taylor 11th Ed., Pearson, 2013 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 10 | % 15 |
| Laboratory | 1 | % 15 |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | 6 | % 10 |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | 1 | % 25 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 35 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 65 | |
| PERCENTAGE OF FINAL WORK | % 35 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | 3 | 7 | |
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 95 | |
| Presentations / Seminar | |||
| Project | |||
| Homework Assignments | |||
| Quizzes | |||
| Preliminary Jury | |||
| Midterms | |||
| Paper Submission | |||
| Jury | |||
| Final | 2 | 4 | |
| Total Workload | 148 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To correctly identify the problems and to be able to ask the correct questions | 5 |
| 2) | To have the ability for problem solving and to utilize analytical approach in dealing with the problems | 5 |
| 3) | To be able to identify business processes and use them to increase the productivity in logistics system. | 2 |
| 4) | To be fully prepared for a graduate study | 3 |
| 5) | Awareness of the new advancements in Information and Communications Technologies (ICT) and to be able to use them in logistics management effectively. internet and the electronic world | |
| 6) | To understand the components of logistics as well as the importance of the coordination among these components. | |
| 7) | To know the necessary ingredients for improving the productivity in business life | |
| 8) | To think innovatively and creatively in complex situations | |
| 9) | To act and think both regionally and internationally | |
| 10) | To understand the demands and particular questions of globalization | |
| 11) | Aware of the two way interaction between globalization and logistics; as well as to use this interaction for increasing the productivity. | |
| 12) | To be able to use at least one foreign language both for communication and academic purposes | |
| 13) | To acquire leadership qualities but also to know how to be a team member | |
| 14) | To understand the importance of business ethics and to apply business ethics as a principal guide in both business and academic environment |