Day 1: Planning

• Stakeholder mapping and analysis: Identify stakeholders and understand their roles.
• Communication plan: Develop a plan to ensure effective communication throughout the project.
• Kano analysis: Study customer needs and expectations to prioritize functionalities.
• Quality critique: Evaluation of existing processes to identify areas for improvement.
• Quality function deployment: Implementation of a structured approach to integrating quality into the organization.
• Project management and monitoring: Techniques for effectively planning, executing and monitoring projects.
• Metrics: Introduction to key performance indicators.
   

Day 2: Measurement

• Work measurement: Definition of appropriate business metrics and assessment of the cost of non-quality.
• Measuring discrete data: Application of measurement methods to categorical data.
• Statistical concepts and confidence intervals: Fundamentals of statistics applied to data analysis.
• Problem definition: Identification of causes, effects and analysis using the FMEA method (Failure Mode and Effect Analysis).
• Hypothesis testing: Methods for validating or invalidating hypotheses based on data.
   

Day 3: Estimation

• Span: Understanding concepts related to variability and estimation.
• Data manipulation: Techniques for efficiently processing and analyzing data.
• MSA (Measure System Analysis) theory: Evaluating the accuracy and reliability of measurement systems, with an application in Minitab.
• Risk and sampling theory: Fundamental concepts of statistical sampling and risk management.
   

Day 4: Evaluations and Improvements

• Designing experimental presentations: Techniques for effectively presenting experimental results, avoiding common pitfalls.
• Lean metrics, value, value analysis, flow and pull: Approaches to optimizing processes by focusing on added value.
• Kaizen events: Implement continuous improvement through targeted events.
• Planning level: Strategies for establishing the right level of planning in projects.
• 5S analysis: Method for improving organization and efficiency in the workplace.
• Creative thinking and lean solutions: Encouragement to develop innovative solutions while minimizing waste.
• Solution evaluation: Process for measuring the effectiveness of implemented solutions.
• Benefits of implementation and validation plans: Importance of rigorous validation after implementation.
   

Day 5: Implementing control methods

• Graphical control theory: Introduction to control charts for monitoring processes.
• Creating control charts and specialized charts: Practical techniques for creating different types of control charts.
• Response surface analysis: Statistical methods for optimizing process responses.
• Roles and responsibilities: Clarification of roles within a Lean Six Sigma project team.
• Facilitation techniques: Tools for facilitating group discussions and decision-making.