Facilities Planning (IE407) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Facilities Planning IE407 3 1 0 3 7
Pre-requisite Course(s)
IE 323
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, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Uğur BAÇ
  • Research Assistant Efe Can RÜBENDİZ
Course Assistants
Course Objectives The students will be able to understand the major issues in facilities planning, such as material handling and flow, location, layout, decisions; formulate mathematical models, and produce feasible and economic solutions.
Course Learning Outcomes The students who succeeded in this course;
  • Students will be able to formulate and solve real life location and layout problems by considering the entire manufacturing and/or service systems within their supply chains.
  • Students will acquire knowledge sufficient to assess the role of facilities planning in reducing costs and increasing productivity and service level through better handling and distribution.
  • Students will be able to create alternative solutions to facilities location and/or facilities design problems within the supply chain.
  • Students will be able to analyze and solve complicated real-life facilities location and/or layout problems by using necessary mathematical modeling software.
Course Content Introduction to supply chain and facilities planning; location, allocation, and layout of facilities in production and/or service industries; use of analytical and computerized layout techniques to generate and evaluate layout alternatives; analysis and design of warehouses, and material handling and transportation systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to supply chain modeling and facilities planning [1] pg. 1-30
2 Product, Process, and Schedule Design [1] pg.31-69
3 Flow, Space, and Activity Relationships; and Determination of Area Requirements [1] pg.70-110
4 Flow, Space, and Activity Relationships; and Determination of Area Requirements Personnel Requirements [1] pg.70-110 [1] pg.111-134
5 Midterm I
6 Material Handling Systems Facilities Layout Planning Models and Design Algorithms [1] pg.135-285 [1] pg.286-325
7 Facilities Layout Planning Models and Design Algorithms [1] pg.286-325
8 Facilities Layout Planning Models and Design Algorithms Computer Aided Facilities Layout Techniques [1] pg.286-325 [1] pg.326-386
9 Computer Aided Facilities Layout Techniques [1] pg.326-386
10 Computer Aided Facilities Layout Techniques [1] pg.326-386
11 Midterm II
12 Storage and Warehousing [1] pg. 387-530
13 Storage and Warehousing Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) [1] pg. 387-530 [1] pg.531-720
14 Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) [1] pg. 531-720
15 Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) [1] pg.531-720
16 Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) [1] pg.531-720


Course Book 1. Tompkins, J. A., J. A. White, Y. A. Bozer, E. H. Frazelle, J. M. A. Tanchoco and J. Trevino, Facilities Planning 3rd Edition, Richmond, TX, U.S.A., 2002.
Other Sources 2. Eric Teicholz, Facility Design and Management Handbook, 1st Edition. McGraw-Hill Professional, 2001.
3. Fred E. Meyers, Matthew P. Stephens, Facility Design and Management Handbook, 3rd Edition. Prentice Hall, 2004.
5. Sönmez A. İ., Production Plant Design with Applications. University of Gaziantep, Gaziantep, 1998.
6. Sule, Dileep R., Manufacturing Facilities Location, Planning and Design, 2nd Edition. PWS Pub. Co., 1994.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 60
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
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. X
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
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. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory 16 1 16
Special Course Internship
Field Work
Study Hours Out of Class 16 5 80
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 175