Six Sigma is a data-driven method for improving process performance and drastically reducing errors. It focuses on minimising variation and increasing predictability. This makes processes more stable, efficient, and profitable.
Symbol trains employees at all Belt levels and coaches them in the execution of Six Sigma projects.
Process variation leads to errors, complaints, and inefficiency. Variation is reduced through statistical analysis and targeted improvement actions. This increases quality, reliability, and customer satisfaction.
Result: fewer disruptions and stable quality.
The DMAIC approach (Define, Measure, Analyse, Improve, Control) forms the core of Six Sigma projects. This structured approach ensures thorough analysis and sustainable securing of improvements. This results in measurable and demonstrable results.
Result: realisation of breakthroughs that contribute to the strategy.
Design for Six Sigma (DFSS) focuses on designing processes and products that meet high quality standards from the start. This prevents costly corrections afterwards. Organisations use this to develop robust solutions that directly align with customer expectations.
Result: fewer problems during the launch of a new product.
We help companies reduce variation in their processes through targeted analyses and improvement trajectories. This makes processes more manageable and predictable. The result is greater stability, fewer errors, and significantly less rejection and waste, leading to higher quality, lower costs, and a more efficient, reliable business operation.
DMAIC stands for Define, Measure, Analyse, Improve, and Control and forms the core of Six Sigma. It offers a data-driven approach for larger improvement projects, where management is carried out by Green or Black Belts. The lead time for Six Sigma projects is typically 3 to 6 months. The Kaizen PDCA approach is applied for smaller improvement projects on the shop floor. The lead time for a Kaizen project is typically a few days or weeks.
Process variation causes errors, inefficiency, and customer complaints. By statistically analysing and reducing variation, processes become predictable and stable. This increases quality, reliability, and customer satisfaction.
Design for Six Sigma (DFSS) focuses on designing processes and products that meet high quality standards from the start. It is applied during new developments or redesign trajectories. This allows errors to be prevented proactively instead of being corrected afterwards.
Six Sigma is particularly suitable when variation and quality problems are the main challenge and in-depth data analysis is required. Lean primarily focuses on eliminating waste and improving flow. In practice, Lean and Six Sigma reinforce each other within an integrated improvement strategy.
Securing results takes place in the ‘Control’ phase of DMAIC. This involves establishing new standards, monitoring KPIs, and explicitly assigning responsibilities. Continuous monitoring prevents relapse and ensures that achieved improvements are maintained structurally.
