ECTS - Supply Chain Management
Supply Chain Management (MDES674) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Supply Chain Management | MDES674 | Elective Courses | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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Consent of the instructor |
Course Language | English |
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Course Type | Elective Courses Taken From Other Departments |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The course intends to make the students familiar with supply chain management and logistics concepts and prepare them to develop the ability to formulate the models of these systems and analyze results obtained with such models. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Supply chain management purposes and processes; supply chain design, evaluation and measurement models; trends in strategic operations, procurement, and logistics applications within the supply chain. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Overview of supply-chain network optimization models | Related pages of the textbook and other sources |
2 | Developments in information technology supporting supply chain analytics | Related pages of the textbook and other sources |
3 | Analysis of postponement strategies using optimization models | Related pages of the textbook and other sources |
4 | Data-driven methods for sales and operations planning | Related pages of the textbook and other sources |
5 | Net profit maximization using revenue models that are price and location sensitive | Related pages of the textbook and other sources |
6 | High-performance demand forecasting | Related pages of the textbook and other sources |
7 | Flowcasting the retail supply chain | Related pages of the textbook and other sources |
8 | Overview of market response models | Related pages of the textbook and other sources |
9 | Integrating supply chain and marketing strategies in consumer products companies | Related pages of the textbook and other sources |
10 | Case study: Optimizing initial buy decisions in a retailing company | Related pages of the textbook and other sources |
11 | Case study: Dynamic sourcing in a container rental company | Related pages of the textbook and other sources |
12 | Case study: Post-merger consolidation in a food products company | Related pages of the textbook and other sources |
13 | Beyond supply chain optimization to enterprise optimization | Related pages of the textbook and other sources |
14 | Future perspectives | Related pages of the textbook and other sources |
15 | Overall review | - |
16 | Final exam | - |
Sources
Course Book | 1. Shapiro, J., Modelling the Supply Chain, Duxbury, 2001 |
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Other Sources | 2. Simchi Levi et.al., “Designing and Managing Supply Chain, McGraw-Hill Higher Education, Second Edition, 2003 |
3. Bowersox D. J., D. J. Closs And M. B. Cooper, Supply Chain Logistics Management, Mcgraw-Hill Second Edition, 2007 | |
4. Chan C. K., And H.W.J. Lee Successfull Strategies In Supply Chain Management, Idea Publishing 2005 |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | 1 | 10 |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 4 | 20 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 40 |
Final Exam/Final Jury | 1 | 30 |
Toplam | 8 | 100 |
Percentage of Semester Work | 70 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | X |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Gains the ability to understand and apply knowledge in the fields of mathematics, science and basic sciences at the level of expertise. | |||||
2 | Gains the ability to access wide and deep knowledge in the field of Engineering by doing scientific research with current techniques and methods, evaluate, interpret and implement the gained knowledge. | |||||
3 | Being aware of the latest developments his/her field of study, defines problems, formulates and develops new and/or original ideas and methods in solutions. | |||||
4 | Designs and applies theoretical, experimental, and model-based research, analyzes and interprets the results obtained at the level of expertise. | |||||
5 | Gains the ability to use the applications, techniques, modern tools and equipment in his/her field of study at the level of expertise. | |||||
6 | Designs, executes and finalizes an original work process independently. | |||||
7 | Can work in interdisciplinary and interdisciplinary teams, lead teams, use the information of different disciplines together and develop solution approaches. | |||||
8 | Pays regard to scientific, social and ethical values in all professional activities and acquires responsibility consciousness at the level of expertise. | |||||
9 | Contributes to the literature by communicating the processes and results of his/her academic studies in written form or orally in national and international academic environments, communicates effectively with communities and scientific staff working in the field of specialization. | |||||
10 | Gains the skill of lifelong learning at the level of expertise. | |||||
11 | Communicates verbally and in written form using a foreign language at least at the European Language Portfolio B2 General Level. | |||||
12 | Recognizes the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, being aware of the limitations they place on engineering applications. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | 1 | 2 | 2 |
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 4 | 5 | 20 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 128 |