Lean Production (IE522) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Lean Production IE522 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to introduce the philosophy of lean production, explain the basic principles of lean production, teach the visualization of the production process using value stream mapping, give information about the definition and types of waste, and explain applications of lean production techniques such as 5S, SMED, TPM, JIT, KANBAN, HEIJUNKA to students.
Course Learning Outcomes The students who succeeded in this course;
  • Students will have knowledge of lean manufacturing concepts and practices.
  • Students will be able to explain the principles of lean production.
  • Students will be familiar with just-in-time manufacturing, flexible manufacturing, and group technology.
  • Students will be able to identify problems in the production process using the value stream mapping method.
  • Students will be able to find solutions to the problems identified in the production process by using lean production techniques.
Course Content Emergence of lean philosophy, lean production principles, types of waste in production, techniques that can be used to make the problems in the production process visible using value stream mapping, and to simplify a production process.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Emergence of lean philosophy, features of lean production systems, differences between classical production systems and lean production systems
2 The concept of waste, types of waste, principles of lean production, just-in-time production
3 Push-pull systems, Kanban systems
4 Value stream mapping
5 Value stream mapping
6 Cellular, flexible manufacturing systems, algorithms used in the creation of machine cells within the scope of group technology
7 5S, SMED
8 TPM
9 HEIJUNKA
10 KAIZEN definition, types and sample applications
11 Assembly line balancing
12 Assembly line balancing
13 Assembly line balancing
14 Semester project on Development of lean manufacturing techniques
15 Semester project on Development of lean manufacturing techniques
16 Final

Sources

Course Book 1. Womack, James and Daniel Jones, Lean Thinking, Free Press, Revised Edition, 2003.
Other Sources 2. Askin, Ronald and Jeffrey Goldberg, Design and Analysis of Lean Production Systems, John Wiley, 2002.
3. Nicholas, John M., Lean Production for Competetive Advantage, CRC Productivity Press, 2011 Edition.
4. Liker, Jeffrey and David Meier, The Toyota Way Fieldbook, McGraw-Hill, 2006.
5. Womack, James P., Jones, Daniel T., The Machine That Changed the World, New York, Rowson Associates, 1990.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 25
Toplam 8 100
Percentage of Semester Work
Percentage of Final Work 100
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 Ability to apply the acquired knowledge in mathematics, science and engineering X
2 Ability to identify, formulate and solve complex engineering problems X
3 Ability to accomplish the integration of systems X
4 Ability to design, develop, implement and improve complex systems, components, or processes X
5 Ability to select/develop and use suitable modern engineering techniques and tools X
6 Ability to design/conduct experiments and collect/analyze/interpret data X
7 Ability to function independently and in teams
8 Ability to make use of oral and written communication skills effectively X
9 Ability to recognize the need for and engage in life-long learning X
10 Ability to understand and exercise professional and ethical responsibility
11 Ability to understand the impact of engineering solutions
12 Ability to have knowledge of contemporary issues X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 10 2 20
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments 4 8 32
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 8 8
Prepration of Final Exams/Final Jury 1 8 8
Total Workload 136