Syllabus Application
IE 304
Production and Service Systems Planning and Design
Faculty
Faculty of Engineering and Natural Sciences
Semester
Spring 2025-2026
Course
IE 304 -
Production and Service Systems Planning and Design
Time/Place
Time
Week Day
Place
Date
09:40-10:30
Wed
FENS-L045
Feb 16-May 22, 2026
09:40-11:30
Fri
FENS-L045
Feb 16-May 22, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Engineering:6
Prerequisites
MS 301 or IE 301 or IE 311
Corequisites
Course Type
Lecture
Instructor(s) Information
Bülent Çatay
- Email: catay@sabanciuniv.edu
Course Information
Catalog Course Description
Product/process modeling and analysis; facility site selection and layout; material and information flow; shop floor control systems; assembly lines; manufacturing lines; shop scheduling; flexible manufacturing systems; group technology.
Course Learning Outcomes:
| 1. | Design assembly lines by using mathematical programming and heuristic methods |
|---|---|
| 2. | Formulate linear programming models and implement exact/heuristic methods to solve single-machine scheduling problems |
| 3. | Apply linear programming and heuristic based methods to schedule jobs on multiple machines |
| 4. | Design manufacturing cells by applying group technology |
| 5. | Apply mathematical programming and heuristic methods to design facilities |
Course Objective
This course is intended to introduce the students to the design and operation of manufacturing and service facilities. We will present a conceptual description and classification of modern production environments and address major issues faced during the planning and control of their operation. We will focus on the decomposition of the overall production planning and control problem to a number of subproblems, and the development of quantitative techniques and analytical tools for addressing the arising subproblems. The topics include (but are not limited to) assembly lines, sequencing and scheduling, flexible manufacturing systems, group technology and cellular manufacturing, and facilities planning and design. Although the focus is on manufacturing systems, emphasis will be given to introduce the application of methodologies covered for manufacturing systems to service systems as well.
The students are expected to have a solid background in formulating linear programming models. GUROBI solver will be used with Python to model and solve the production planning problems. Although it is not a prerequisite, it is strongly recommended that you had taken and passed IE 312.
The students are expected to have a solid background in formulating linear programming models. GUROBI solver will be used with Python to model and solve the production planning problems. Although it is not a prerequisite, it is strongly recommended that you had taken and passed IE 312.
Sustainable Development Goals (SDGs) Related to This Course:
| Decent Work and Economic Growth | |
| Industry, Innovation and Infrastructure | |
| Responsible Consumption and Production |
Course Materials
Resources:
Modeling and Analysis of Manufacturing Systems. R.G. Askin and C.R. Standridge, John Wiley, 1993. [TS155.6 .A75 1993]
Production and Operations Analysis. S. Nahmias, Irwin/McGraw-Hill, 2013. [TS155 .N34 2013]
Facilities Design, 5th edition. S. Heragu. CRC Press, 2022. [TS177 .H47 2022] (eBook available online at the Information Center)
Production and Operations Analysis. S. Nahmias, Irwin/McGraw-Hill, 2013. [TS155 .N34 2013]
Facilities Design, 5th edition. S. Heragu. CRC Press, 2022. [TS177 .H47 2022] (eBook available online at the Information Center)