FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 329 | Course Introduction and Application Information

Course Name
Lean Production
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 329
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery Online
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives Lean Production philosophy started in Toyota factories in 1950s is an essential tool for productivity. The purpose of this course is to teach how to eliminate unproductive factors in an organization that we call waste (muda), support students think in lean perspective and provide necessary background to lead in lean studies.
Learning Outcomes The students who succeeded in this course;
  • Will be able to have an understanding of lean thinking and lean production concepts
  • Will be able to gain a knowledge of lean production techniques
  • Will be able to analyze process with lean approach and achieve improvement
  • Will be able to experience the field applications of lean production techniques.
  • Will be able to gain a knowledge on lean management and industrial ergonomics
Course Description The course involves lean terminology and detailed lean production techniques, real business cases, in addition lean management as well as industrial ergonomics.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Lean Thinking, Lean Culture Presentations
2 Lean Production Techniques Presentations
3 Finding and Eliminating Wastes, Kaizen Presentations
4 5S, Visual Control Presentations
5 Cellular Production Presentations
6 Analysis and Reduction of Preparation Times Presentations
7 Lean Spread and Working with Standards Presentations
8 Midterm
9 Total Productive Maintenance Presentations
10 Push / Pull and Kanban Systems Presentations
11 Value Stream Mapping Presentations
12 Lean Management Presentations
13 Industrial Ergonomics Presentations
14 Applications from Business Presentations
15 Review of the Semester Presentations
16 Final

 

Course Notes/Textbooks

Lean Production for Competitive Advantage A Comprehensive Guide to Lean Methods and Management Practices, John Nicholas, CRC Press, 2018

Yalın Dönüşüm Yolculuğu, Prof.Dr. Bülent Durmuşoğlu, Optimist Yayın Grubu, 2020

Suggested Readings/Materials

Lecture notes are updated on the website on weekly basis

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
15
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
35
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
2
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
10
10
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
18
18
Final Exam
1
32
32
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

X
8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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