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, 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

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
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 Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
2 Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill 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 to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose. X
4 Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies.
5 Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics.
6 Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills.
7 Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions.
8 Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself.
9 Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications.
10 Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development.
11 Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains 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