ECTS - Supply Chain Management
Supply Chain Management (MDES674) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Supply Chain Management | MDES674 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
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 | X |
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Major Area Courses | |
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 | An ability to apply advanced knowledge in computational and/or manufacturing technologies to solve manufacturing engineering problems . | |||||
2 | An ability to define and analyze issues related with manufacturing technologies. | |||||
3 | An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment. | |||||
4 | An ability to design a comprehensive manufacturing system based on creative utilization of fundamental engineering principles while fulfilling sustainability in environment and manufacturability and economic constraints. | |||||
5 | An ability to chose and use modern technologies and engineering tools for manufacturing engineering applications. | |||||
6 | Ability to perform scientific research and/or carry out innovative projects that are within the scope of manufacturing engineering. | |||||
7 | An ability to utilize information technologies efficiently to acquire datum and analyze critically, articulate the outcome and make decision accordingly. | |||||
8 | An ability to attain self-confidence and necessary organizational work skills to participate in multi-diciplinary and interdiciplinary teams as well as act individually. | |||||
9 | An ability to attain efficient communication skills in Turkish and English both verbally and orally. | |||||
10 | An ability to reach knowledge and to attain life-long learning and self-improvement skills, to follow recent advances in science and technology. | |||||
11 | An awareness and responsibility about professional, legal, ethical and social issues in manufacturing engineering. | |||||
12 | An awareness about solution focused project and risk management, enterpreneurship, innovative and sustainable development. | |||||
13 | An understanding on the effects of engineering applications on health, social and legal aspects at universal and local level during decision making process. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
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 |