Facilities Planning (IE407) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Facilities Planning IE407 7. Semester 3 1 0 3 7
Pre-requisite Course(s)
IE 323
Course Language English
Course Type Compulsory Departmental Courses
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 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. X
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. X
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. 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