Six Sigma

First of all, I am very pleased that you, Books-R-Us, adapt to the Six Sigma process. Things will be smoother, the product will be better, but the end customer will be more happy. I will plan a course for you at below; if you need any special help, then you need to contact Black Belt Master. He did a good job with the book.

Six Sigma: Many people say TQM has evolved into Six Sigma. The intention of Six Sigma is a business process without errors. Six Sigma is a data driven approach that focuses on reducing variability to eliminate defects within the process. Like BPR, Six Sigma does not need to question the current way of working. However, Six Sigma uses the "adjustment and maintenance" five-step approach to identify the root cause and does not completely redesign the process like BPR. Lean: Lean is also based on the idea of ​​eliminating waste. Lean organizations can eliminate additional management and bring everyone closer to the process. In addition, lean has analytical instructions, each step is fully evaluated. We keep only the value added step. Lean is similar to BPR, but it can achieve results very quickly. They are very different, but lean does not start from the beginning like BPR.

In recent years, some practitioners have combined Six Sigma 's ideas and lean manufacturing to create a method called Lean Six Sigma. The lean Six Sigma approach observes lean manufacturing, solves process and waste problems, Six Sigma is a complementary area designed to promote 'business and operational excellence' with variability and design Focus on. Companies such as GE, Accenture, Verizon, GENPACT, and IBM focus on transformation using Lean Six Sigma, focusing on growth as well as efficiency. From manufacturing and software development to sales and service offering functions, the foundation of the whole organization's innovation.

Six Sigma is a statistical tool and technology system focused on eliminating defects and reducing process changes. The Six Sigma process includes measurement, improvement and verification activities. The name or name of Six Sigma relates to the relationship between the number of defects per million opportunities and the standard deviation number found in process specifications. In statistics, Sigma is a reference to the section below the normal or "Gaussian" curve. Each interval is equal to one standard deviation or sigma. Therefore, Six Sigma means the positive and negative 3 sigma of the mean value of the data under the curve. For a normal distribution, 68.26% of the data points are within the range of the average positive and negative sigma, 95.46% are within 2 sigma and 99.73% are within 3 sigma. Process variations above ± 3 sigma should be improved