FACULTY OF ENGINEERING

Department of Computer 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
Service Course
Course Level
First Cycle
Mode of Delivery -
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 to 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
  • Will be able to achieve improvement in process-production quality, workflow
  • 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
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 Total Productive Maintenance Presentations
9 Midterm
10 Push / Pull and Kanban Systems Presentations
11 Value Stream Mapping Presentations
12 Value Stream Mapping Presentations
13 Lean Management Presentations
14 Industrial Ergonomics 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
1
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
3
30
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
5
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
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
0
Field Work
0
Quizzes / Studio Critiques
3
4
12
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
40
40
Final Exam
1
50
50
    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 Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

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.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language 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 Computer Engineering.

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

 


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