Lean Six Sigma Black Belt Training Course

1.

COURSE TITLE:

Lean Six Sigma Black Belt Training Course

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COURSE PREREQUISITES/ELIGIBILITY:

Undergraduate/ Graduated

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NAME OF THE INSTRUCTOR:

Muhammad Sajjad

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START & END DATE/MONTH/YEAR OF THE COURSE

Depends on

batch completion

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ASSESSMENT MEASURES

Class participation and quizzes.

Reading

Discussion and questions.

Examinations

Group/Team work

Project submissions

Introduction to Lean Six Sigma:

• Overview of Lean and Six Sigma methodologies.
• Historical development and benefits of Lean Six Sigma.
• Understanding the DMAIC (Define, Measure, Analyze, Improve and Control) process.

Define Phase:

• Defining project goals and scope.
• Identifying stakeholders and understanding their requirements.
• Developing a project charter.
• Creating process maps and flowcharts.

Measure Phase:

• Collecting and analyzing data to understand the current state of the process.
• Identifying key performance indicators (KPIs).
• Conducting data collection and measurement system analysis (MSA).
• Creating process capability and process performance metrics.

Analyze Phase:

• Identifying root causes of problems or inefficiencies in the process.
• Using various tools like Pareto charts, cause-and-effect diagrams, and scatter plots to analyze data.
• Applying statistical analysis to identify patterns and correlations.
• Hypothesis testing to validate potential causes.

Improve Phase:

• Developing and testing potential solutions.
• Applying various improvement methodologies, including Design of Experiments (DOE) and Lean principles.
• Evaluating the impact of proposed solutions using data analysis.
• Selecting the most effective solution(s) for implementation.

Control Phase:

• Developing control plans to sustain improvements over time.
• Implementing process controls and monitoring systems.
• Setting up monitoring and feedback mechanisms.
• Creating visual management tools and dashboards.

Lean Principles:

• Introduction to Lean concepts and principles, such as value stream mapping, 5S, Kanban, and Kaizen.
• Applying Lean techniques to reduce waste, improve efficiency, and enhance customer value.

Statistical Tools:

• In-depth understanding of statistical techniques like hypothesis testing, regression analysis, ANOVA, and statistical process control (SPC).

Project Management:

• Managing Lean Six Sigma projects, including project planning, communication, and stakeholder engagement.
• Team leadership and facilitation skills.
• Change management principles.

Case Studies and Real-World Application:

• Analyzing real-world Lean Six Sigma case studies and success stories.
• Hands-on exercises and simulations to apply concepts to practical scenarios.