FACULTY OF ENGINEERING

Department of Mechatronics Engineering

IE 327 | Course Introduction and Application Information

Course Name
Special Topics in Production Management
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 327
Fall/Spring
3
0
3
6

Prerequisites
  MATH 236 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of the course is to introduce different process improvement approaches, especially the Lean Six Sigma project approach. Process diagramming, statistical analysis techniques, hypothesis tests and some graphical analyzes are covered by this course.
Learning Outcomes The students who succeeded in this course;
  • • Will be able to understand basic project management approach of Six Sigma
  • • Will be able to understand how the five basic steps of Six Sigma can be used for both in the project management and process improvement
  • • Will be able to evaluate how manufacturing process can be improved by using some statistical tools
  • • Will be able to understand how hypothesis tests are used to solve real production problems
  • • Will be able to improve their problems with statistical tools by taking a process based approach.
  • Will be able to distinguish the suitability of the techniques used in the Six Sigma approach
Course Description The history of the Six Sigma approach and its diffusion in the world, examples of applications in the world and in Turkey, basic steps of the Six Sigma project management approach, statistical and managerial tools used at each step and best practices for use of these tools constitute the course content.

 



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 History of Six Sigma Slides of week
2 Six Sigma Project Management Approach Slides of week
3 DMAIC Slides of week
4 Project Chart and Definiton Tools Slides of week
5 SIPOC, VOC and VOB Slides of week
6 Group Case Study Slides of week
7 Measurement System Analysis-1 Slides of week
8 Measurement System Analysis-2 Slides of week
9 Hypothetical Tests Slides of week
10 Graphical Analysis Slides of week
11 Comparison of Mean Values Slides of week
12 Comparison of Proportions Slides of week
13 Regression and Correlation Slides of week
14 Statistical Process Control Slides of week
15 Group Presentation Slides of week
16 Final Exam

 

Course Notes/Textbooks

G. Robin Henderson (2011). Six Sigma Quality Improvement with Minitab, Wiley.

Rehman M. Khan (2013). Problem Solving and Data Analysis Using Minitab, Wiley.

Pande, P. S., Neuman, R. P., & Cavanagh, R. R. (2000). The Six Sigma Way. New York: McGraw-Hill, ML, George, Rowlands D, Price M, and Maxey J. The Lean Six Sigma Pocket Toolbook. McGraw Hill Co, 2005.

Suggested Readings/Materials Lecture PowerPoint slides,Reading materials, scientific papers and handouts.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
10
20
Laboratory / Application
2
20
Field Work
Quizzes / Studio Critiques
3
15
Portfolio
Homework / Assignments
2
20
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
100
Weighting of End-of-Semester Activities on the Final Grade
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
5
70
Field Work
0
Quizzes / Studio Critiques
3
6
18
Portfolio
0
Homework / Assignments
2
11
22
Presentation / Jury
0
Project
1
22
22
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
0
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both in oral and written forms; 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 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 engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used 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

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

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

 


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