IE418 SUPPLY CHAIN MANAGEMENT
| Course Code: | 5680418 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. FATMA SEDEF MERAL |
| Offered Semester: | Fall Semesters. |
Course Objectives
t the end of the course, the students will
1. be able to comprehend the basics of a supply chain such as supply chain components, flows, decisions, operations and risks.
2. be able to design the logistics network considering the trade-offs inherent.
3. become familiar with the fundamental methods to solve inventory planning problems.
4. comprehend the value of information and how information sharing affects the benefits in the supply chain.
5. comprehend the interactions of the strategic decisions of the players in a supply chain.
6. be aware of the potential collaboration and partnerships that exist in supply chains.
Course Content
Defining the supply chain and components of the supply chain. Design issues in supply chain management. Logistics network design and inventory planning. Value of information. Competitive and collaborative relations among participants. Supply chain integration. Warehouse operations management.
Course Learning Outcomes
At the end of the course, the students will
1.1. describe the basic supply chain scope.
1.2. appreciate the importance of systems approach in supply chain management.
1.3. identify the important problem areas with respect to different decision making levels.
2.1. identify transportation, location, inventory tradeoffs.
2.2. develop mathematical formulations for the logistics network design problems.
2.3. solve the logistics network design problems using commercial solvers.
3.1. identify the components of an inventory planning problem.
3.2. use mathematical models to find inventory control policy parameters under a given policy.
3.3. use mathematical models to assess the performance under a given policy.
4.1. identify the factors contributing the bullwhip effect.
4.2. identify the counter measures against the bullwhip effect.
4.3. identify the major conflicting objectives among the supply chain actors.
5.1. Identify the conflicting objectives of different supply chain actors.
5.2. Formulate the interrelated decisions made by different actors using game theory.
5.3. Identify equilibrium outcomes.
6.1. Identify common supply contracts.
6.2. Formulate the interrelated decisions made by different actors under a contract.
6.3. Identify equilibrium outcomes.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||