The customer's needs and expectations are the most important aspect of any process, and Six Sigma aims to meet or exceed these expectations.
Data-driven decision-making
Six Sigma relies on data and statistical analysis to identify problems, measure performance, and track progress toward improvement.
Continuous improvement
Six Sigma is a continuous improvement process and aims to achieve incremental improvements over time, rather than relying on large-scale changes.
Define, Measure, Analyze, Improve, Control (DMAIC) methodology
The DMAIC methodology is a structured problem-solving approach that involves defining the problem, measuring the current state, analyzing the data, improving the process, and controlling the changes.
Leadership involvement
The success of Six Sigma includes setting clear goals, providing resources and support, and leading by example.
Teamwork and collaboration
Six Sigma encourages collaboration and communication between team members, stakeholders, and customers.
Use of statistical tools
Six Sigma technology relies on various statistical tools and techniques, such as control charts, process capability analysis, and hypothesis testing.