Public View

You are viewing the public version of the syllabus. If you have a SUNet account, you can view the richer version of the syllabus after logging in.

IE 553
Facility Design and Analysis

Faculty Faculty of Engineering and Natural Sciences
Semester Spring 2025-2026
Course IE 553 - Facility Design and Analysis
Time/Place
Time
Week Day
Place
Date
14:40-16:30
Tue
FENS-L065
Feb 16-May 22, 2026
10:40-11:30
Wed
FENS-L067
Feb 16-May 22, 2026
Level of course Masters
Course Credits SU Credit:3, ECTS:10
Prerequisites -
Corequisites -
Course Type Lecture

Instructor(s) Information

Bülent Çatay

Course Information

Catalog Course Description
Product/process analysis; technology selection; facility location; production and service facilities layout; material handling systems, storage systems, mathematical programming models and methods for location and layout problems.
Course Learning Outcomes:
1. Upon the completion of this course, students are expected to be able to : Identify and state advanced concepts in facilities design.
2. State mathematical models and advanced algorithms for facility layout and location problems.
3. Develop her/his own heuristic and meta-heuristic algorithms to efficiently solve layout and location problems.
4. Utilize optimization tools and layout software.
5. Formulate facilities design problems and solve facilities design-related decision problems using operations research methods.
6. Investigate modelling and algorithmic solution approaches to difficult facilities design problems.
7. Read, analyze, and present technical papers.
8. Work independently in solving challenging facility layout and location problems.
Course Objective
Facilities planning and design is the process of locating and laying out new industrial and service facilities, and revising or expanding existing facilities, while respecting resource constraints. In this course, we will address both the layout and the location of facilities. As part of the layout, we will consider the arrangement of departments within a manufacturing or service facility, focusing on mathematical programming modeling. We will also consider the theory, application methods, and techniques needed to successfully model, analyze, and present a proposed location for single- and multi-facility sites. We will develop and employ both exact and approximate methods to solve problems arising in facilities planning and implement computerized applications. The course is designed for graduate students who have a solid background in operations research/mathematical programming. Proficiency in a programming language (C, C++, C#, Java, Python as such) and CPLEX/GUROBI is required; familiarity with (meta)heuristics is strongly recommended.
Sustainable Development Goals (SDGs) Related to This Course:
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)
Technology Requirements:

Policies