Syllabus Application
Manufacturing Systems Modelling
IE 567
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Manufacturing Systems Modelling - IE 567
Classroom:
FENS-L058,FENS-L067
Level of course:
Masters
Course Credits:
SU Credit:3.000, ECTS:10
Prerequisites:
-
Corequisites:
-
Course Type:
Lecture
Instructor(s) Information
Esra Koca
- Email: ekoca@sabanciuniv.edu
Course Information
Catalog Course Description
Hierarchical design, planning, and control of manufacturing systems; assembly lines; automated transfer lines; cellular manufacturing; flexible manufacturing systems; facility location and layout.
Course Learning Outcomes:
| 1. | At the end of the course, the student is expected to be able to understand and model various operational issues in manufacturing systems in addition to comprehending the associated solution methods for these models. |
|---|
Course Objective
- Understand fundamental problems in manufacturing system design and scheduling.
- Formulate these problems as mathematical models and analyze their complexity.
- Apply optimization techniques (MIP, decomposition, heuristics) to solve them.
- Interpret results in the context of manufacturing operations.
Course Materials
Resources:
REFERENCE TEXTBOOKS:
- Theory, Algorithms, and Systems, 4th ed. Michael Pinedo. Prentice Hall, 2012.
- Planning and Scheduling in Manufacturing and Services, 2nd ed. Michael Pinedo. Springer, 2009.
-Modeling and analysis of manufacturing systems. Ronald G. Askin, Charles R. Standridge. John Wiley, 1993.
- Automation, Production Systems and Computer-Integrated Manufacturing. Mikell Groover. Prentice Hall, 2007.
- Theory, Algorithms, and Systems, 4th ed. Michael Pinedo. Prentice Hall, 2012.
- Planning and Scheduling in Manufacturing and Services, 2nd ed. Michael Pinedo. Springer, 2009.
-Modeling and analysis of manufacturing systems. Ronald G. Askin, Charles R. Standridge. John Wiley, 1993.
- Automation, Production Systems and Computer-Integrated Manufacturing. Mikell Groover. Prentice Hall, 2007.
Technology Requirements:
Some assignments will require coding or the use of mathematical programming solvers. Students are free to choose the platform or software they are most comfortable with.