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CONSULTANCY SERVICES Operational Excellence Six Sigma Introduction Sigma, σ , is used by statisticians to measure variation in any process. Six Sigma in turn means a very high quality level of 3.4 or less defects or errors per million opportunities for defects or errors in products or services. The beauty of Six Sigma is that it is both an engaging management philosophy with realm of possibilities, as well as a structured tool that can help any organisation achieve world class performance.
Six Sigma can be viewed in different ways – as a metric, a principle, as a methodology, as well as a management system. As a metric, Six Sigma prescribes the disciplined use of fact-based data. By consistently applying a systematic data-driven approach, Six Sigma practitioners are able to increase predictability, consistency and accuracy of processes in producing defect-free products and error-free services. As a principle, Six Sigma’s core is variation
reduction. It is variation in processes that leads to defects, cost of
poor quality, customer dissatisfaction as well as market loss and lost
opportunities. By focusing on strengthening its processes and making them
more reliable and capable, the organization will achieve superb quality
levels, greater efficiencies and higher levels of profitability. As a management system, Six Sigma is an enterprise-wide improvement initiative that is applicable in operations, sales, design, procurement, logistics and any process in the organisation. Management must lead the Six Sigma initiative and is responsible to define a set of key performance metrics, measure their actual performance and initiate improvements to the system. The upshot is, in challenging the entire organisation to achieve a Six Sigma level of near perfection, Six Sigma captures the imagination and has proven to inspire dramatic improvements to the bottom line. Benefits of Implementation Depending on the industry type, a 3 Sigma level company can expect the following benefits:
An organization can expect even more spectacular gains as it moves up the sigma level. |