幸运大转盘

Six sigma and number of defects per million are today's standard for ultimate customer satisfaction and maximum profitability. Knowing that customer satisfaction is the number one priority on any organization's list, the success of any company depends on quality and competitive product pricing. Today the globalized market allows no space for error. Thus, Six Sigma is necessary for all organizations. The same is true today for human involvement, that could be achieved through Lean. The theory of Lean Six Sigma demonstrates the bottom line and customer satisfaction improvement.

Unlike other programs that concentrate on quality only, Lean Six Sigma focuses on customer satisfaction and the bottom line. This also means the highest quality: As defects drop to 3.4 per million, quality improves dramatically.

The course on Quality management and Improvement explains the Lean Six Sigma concepts, the essential theory and analysis from the engineering point of view in three different parts. Part I: Statistical Theory and Concepts; Part II: Six Sigma Engineering and Implementation; and Part III: Case Studies. Throughout the course numerous examples have been cited. All manufacturers may largely benefit. Consequently, any organization may engineer their Six Sigma program using this course, as a fundament.

• Introduction to Lean Six Sigma
• Statistical Theory of Lean Six Sigma Strategies
• Mathematical Concepts of Lean Six Sigma Engineering Strategies
• Six Sigma Continuous Improvement
• Design for Six Sigma: Roadmap for Successful Corporate Goals
• Design for Lean/Kaizen Six Sigma
• Roles and Responsibilities to Lean Six Sigma Philosophy and Strategy
• Road Map to Lean Six Sigma Continuous Improvement Engineering Strategies
• Six Sigma Green Belt Level Case Studies

Bachelor degree in Engineering program in mechanical, electrical power, electronics, mechatronics, material science, industrial engineering, process engineering or other equivalent majors.

In addition, the following requirements must be met:

-minimum 25 ECTS in mathematics (equivalent to Mathematical Methods 1, 2 og 3), 5 ECTS in statistics and 7,5 ECTS in physics on a higher level is required.

Application code: 9371

After passing the course, students will have the following learning outcomes:

Knowledge and understanding:

Students will be able to

• Review Lean Six Sigma concepts and background (history).
• Demonstrate normal distribution, process capability estimation of 1 sigma through Six Sigma.
• Explain essentials of mathematical concepts in Lean Six Sigma engineering strategies, as well as review standard normal distribution and normality tests.
• Understand the essentials of Six Sigma continuous improvement principles and training models.
• Understand the essentials of design for Six Sigma principles, tools, and techniques.
• Understand the essentials of design for Lean Six Sigma and training models.
• Understand the roles and responsibilities to Six Sigma philosophy and Six Sigma infrastructure.
• Understand the road map to Lean Six Sigma continuous improvement engineering strategies.

Skills:

Students will be able to

• Conduct case studies with complete Six Sigma applications in industrial engineering for Green Belts.
• The students will obtain a Six Sigma green belt certificate after passing the course.

Prerecorded video lectures, classroom lectures and exercises spread over two weeks. 25 - 28 lecture hours, 20 hours of exercises, plus self-studies. Total workload is estimated to about 125 hours full time work.

All course material is available from the online course portal.

Software to be used is available as 幸运大转盘 student: Spreadsheet such as Microsoft Excel, Simul8 process simulation (student license for free), Matlab and/or Python for machine learning.