Six Sigma Cheat Sheet

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Six Sigma Overview

Six Sigma is a disciplined, data-driven approach for eliminating defects in any process, from manufacturing to transactional and from product to service.

DMAIC Methodology

Define: Identify problems and project objectives.
Measure: Collect data and establish baselines.
Analyze: Determine root causes of issues.
Improve: Implement solutions for process enhancement.
Control: Sustain improvements with control systems.

1. Define Phase

Focus on project definition and scope, with tools like SIPOC diagrams, Voice of the Customer (VOC), and project charters to clearly identify the problem and project goals.

2. Measure Phase

Establish the current state of processes using tools such as process mapping, data collection techniques, and measurement systems analysis (MSA) to ensure data reliability.

3. Analyze Phase

Identify the root cause of defects using analytical techniques such as cause-and-effect diagrams, FMEA, and hypothesis testing to focus improvement efforts.

4. Improve Phase

Develop and deploy solutions to eliminate the root cause of defects. Tools include design of experiments (DOE), piloting, and solution implementation strategies.

5. Control Phase

Implement control systems like statistical process control (SPC), control charts, and maintain documentation to ensure the gains are sustained over time.

DFSS (Design for Six Sigma)

Focuses on designing and creating processes and products that meet customer needs and process capability from the beginning, utilizing methodologies like DMADV (Define, Measure, Analyze, Design, Verify).

Lean Principles

Integrates lean manufacturing/lean enterprise and Six Sigma to eliminate waste of physical resources, time, effort, and talent while assuring quality in production and organizational processes.

Team Dynamics and Leadership

Successful Six Sigma projects require effective team formation, management, and leadership. Skills in communication, motivation, and conflict resolution are critical for leading teams through project phases.

Statistical Tools and Techniques

Comprehensive knowledge of statistical concepts is essential, including descriptive statistics, probability distributions, statistical inference, and regression analysis to inform decision-making and improvement strategies.

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