Supply Chain Modeling (IE306) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Supply Chain Modeling IE306 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Observation Case Study, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Önder BELGİN
Course Assistants
Course Objectives Upon successful completion of the course, students will have learned the fundamentals of supply chain management. They will develop the ability to build models and develop various techniques to solve supply chain problems.
Course Learning Outcomes The students who succeeded in this course;
  • Students will be able to define the basic framework of supply chain management.
  • Students will be able to identify the key drivers of supply chain performance and their relationships with other functions such as company strategy, operations, purchasing and marketing.
  • Students will be able to identify various performance metrics of supply chain management.
  • Students will be able to criticize the complexities of inter-firm and intra-firm coordination.
  • Students will be able to interpret supply and demand in an uncertain business environment.
  • Students will be able to explain the value of partnerships and strategic alliances in SCM.
  • Students will be able to discuss different supply chain strategies and practices (VMI, E-Business, Postponement ...).
  • Students will be able to identify, analyze and resolve typical problems which arise in managing supply chains.
Course Content Introduction to supply chain management; introduction to logistics; purchasing and scheduling decisions; inventory policy decisions; information systems; supply chain organization and control; performance metrics.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Understanding the Supply Chain pg. 13-30
2 Supply Chain Performance: Achieving Strategic Fit and Scope p. 31-49
3 Supply Chain Drivers and Obstacles p. 52-71
4 Designing the Distribution Network in a Supply Chain p. 81-113
5 Network Design in the Supply Chain p. 120-145
6 Demand Forecasting in a Supply Chain p. 189-216
7 Aggregate Planning in a Supply Chain p. 221-238
8 Midterm
9 Warehousing Bozarth and Handfield, p. 335-350
10 Managing Economies of Scale in a Supply Chain: Cycle Inventory p. 280-321
11 Sourcing Decisions in a Supply Chain p. 445-476
12 Information Technology in a Supply Chain p. 528-540
13 Case Exam
14 Transportation in a Supply Chain p. 412-441
15 Measuring the Supply Chain Performance p. 419-439
16 Final Exam

Sources

Course Book 1. Chopra, S., Meindl, P., Supply Chain Management: Strategy Planning and Operation, Prentice Hall, 2007.
Other Sources 2. Nahmias, S., Production and Operations Analysis, 4th Edition, Irwin McGraw-Hill, 2001.
3. Shapiro, J., Modeling the Supply Chain, Duxbury, 2001.
4. Tayur, S., Ganeshan, R., Magazine, M. (editors), Quantitative Models for Supply Chain Management, Kluwer Press, 1999.
5. Simchi-Levi, D., Kaminsky, P., and Simchi-Levi, E., Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, McGraw Hill, 2008.
6. Nemhauser, G.L., Rinnooy Kan, A.H.G., (editors), Logistics of Production and Inventory, North-Holland, 1993.
7. Coyle, J., Bardi, J., Edward, J., Langley, J.J., The Management of Business Logistics, Thompson Learning, 1996.
8. Bowersox, D.J., Closs, D.J. and Cooper, M.B., Supply Chain Logistics Management, McGraw-Hill, 2007.
9. Burt, D.N, Dobler, D.W., and Starling, S.L., E., World Class Supply Management, McGraw-Hill, 2003.
10. Vollmann, T.E, Manufacturing Planning and Control for Supply Chain Management, McGraw-Hill, 2005.
11. Bozarth, C.C. and Handfield, R. B., Introduction to Operations and Supply Chain Management, Prentice Hall, 2006.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 35
Final Exam/Final Jury 1 30
Toplam 9 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses
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 adequate knowledge in mathematics, science, and relevant engineering disciplines and acquires the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems.
2 Gains the ability to identify, formulate, and solve complex engineering problems and the ability to select and apply appropriate analysis and modeling methods for this purpose.
3 Gains the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements and to apply modern design methods for this purpose. X
4 Gains the ability to select and use modern techniques and tools necessary for the analysis and solution of complex engineering problems encountered in industrial engineering applications and the ability to use information technologies effectively.
5 Gains the ability to design experiments, conduct experiments, collect data, analyze results, and interpret findings for investigating complex engineering problems or discipline specific research questions.
6 Gains the ability to work effectively in intra-disciplinary and multi-disciplinary teams and the ability to work individually.
7 Gains the ability to communicate effectively in written and oral form, acquires proficiency in at least one foreign language, the ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Gains awareness of the need for lifelong learning and the ability to access information, follow developments in science and technology, and to continue to educate him/herself.
9 Gains knowledge about behaviour in accordance with ethical principles, professional and ethical responsibility and standards used in industrial engineering applications
10 Gains knowledge about business practices such as project management, risk management, and change management and develops awareness of entrepreneurship, innovation, and sustainable development.
11 Gains knowledge about the global and social effects of industrial engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. X
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. X
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 22 22
Report
Homework Assignments 5 4 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 2 4
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 125