Supply Chain Modeling (IE306) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Supply Chain Modeling IE306 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Observation Case Study, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Erkan Köse
Course Assistants
Course Objectives Upon successful completion of the course, the students will be able to understand the basics of logistics and supply chain management. They should develop the ability to construct models and apply a variety of techniques to solve supply chain and logistics 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 Introduction to supply chain management pg. 13-30
2 Supply chain management framework and challenges Simchi-Levi pg. 1-30 Simchi-Levi pg.120-138
3 Supply chain drivers pg.50-78
4 Strategic fit pg.31-49
5 Bullwhip effect Review of basic concepts pg.262-282 Simchi-Levi pg.43-90 Simchi-Levi pg.101-117
6 Role of inventory pg.283-341
7 Risk pooling and postponement pg.353-369 Simchi-Levi pg.222-235
8 Logistics and network design pg.80-114 pg.409-438
9 Midterm
10 Warehousing pg.120-153 Bozarth pg.335-350
11 Outsourcing-insourcing Bozarth pg.350-371 pg.440-451
12 Case Exam
13 Partnerships pg.453-476 pg.500-510
14 Performance Metrics-SCOR Model Simchi-Levi pg.253-260
15 Continued... pg.512-520
16 Final


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
Supportive Courses X
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 knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods.
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design. X
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively.
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions. X
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. X
13 Knowlede on appropriate analytical, computational and experimental methods to provide system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 22 22
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