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Dear, I am glad to answer for you: What is the meaning of 6 Sigma Answer: Dear, the meaning of 6 Sigma is a technology to improve the quality process management of enterprises.
With the perfect business pursuit of "zero defect", the quality is greatly improved, the cost is greatly reduced, and finally the improvement of financial results and the breakthrough of enterprise competitiveness are realized. Six Sigma is a management strategy that was proposed in 1986 by Bill Smith, an engineer at Motorola at the time. The statistical meaning of Six Sigma is that the upper and lower tolerance limits of any product are agreed in advance (usually required by the customer), and the index of the actual product is affected by a variety of random factors (meta-error), so that the actual production of the product index (the most common is the shape and position index, that is, length, diameter, parallelism, perpendicularity, etc., and other pure pre-quantifiable indexes also obey this law) obeys the normal distribution.
Once a randomly produced product falls outside the tolerance range, the product is considered to be a defective product. Errors are divided into systematic errors that cause deviations in the mean and accidental errors that increase the standard deviation. Yield is the value of the error function with standard deviation:
The values of the upper and lower USLs are agreed in advance. The goal of management is to reduce the error factors (mean and standard deviation) so that the values m and n are within the values specified in the management objectives. The defective rate required in the textbook of the Fool Judgment is equivalent to taking n=, m=, that is, the sum of accidental error and systematic error is equal to 6.
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The comparison of these two graphs illustrates the phenomenon of mean drift. In the 6-sigma management method, it is assumed that the mean of the sample and the mean of the population do not coincide exactly within the plus and minus standard deviations, and the standard deviation of the difference between the mean of the sample and the population mean according to the law of large numbers of probability theory is (the overall standard deviation of the number of samples under the root number), even for those sample distributions with a sample size of 1, the degree of deviation between the mean and the overall mean is only 1 standard deviation, and the standard deviation of the 6-sigma method is 87% confidence that the mean of the sampled sample falls within the multiple standard deviation of the population mean; If the number of samples is 2, the degree of deviation between the mean and the overall mean is (2 standard deviations under 1 root number), that is, standard deviations, then divide by the multiple standard deviations to obtain the multiple of the standard deviation of the corresponding sample, and the corresponding confidence level is 97%! Similarly, if the sample size is 10 (in many cases the sample size is usually higher than 10), the corresponding confidence level is !
Therefore, the drift sigma proposed by 6 sigma has enough margin, and the calculation method with drift times standard deviation is safe enough in practice. In order to simplify the operation process, 6 Sigma directly ignores the above analysis process and only gives a fixed result, which is easier for everyone to accept and understand in actual operation.
Break a leg! The above analysis mainly illustrates the confidence level of the method after setting the multiples drift in the 6-sigma method, as mentioned above, the lowest confidence level is 87%, and in the general case it easily exceeds 97%, which is more than the usual statistical recommendation of 90%. In addition, the probability after drift has been recalculated in the second table above, which is also easy to understand. The probability of the interval between plus or minus one standard deviation was 68%, and the interval drifted by multiple standard deviations was modified to the interval of multiple standard deviation to multiple standard deviation. The original interval probability between plus or minus two standard deviations is 95%, and the interval that has been drifted by multiple standard deviations is modified to the interval of multiple standard deviation to multiple standard deviation. The original interval probability between plus or minus three standard deviations is, and the interval that has been drifted by multiple standard deviations is modified to the interval of multiple standard deviation to multiple standard deviation.
Through the above analysis, the credibility of the results can be increased by increasing the number of samples sampled in each batch.
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Business strategy. Introduction Six Sigma (6 Sigma) is a management strategy that was proposed in 1986 by Bill Smith, an engineer who was working at Motorola at the time. This strategy focuses on setting extremely high goals, collecting data, and analyzing the results, through which defects in products and services can be reduced.
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<>6 Sigma is also known as "Six Sigma" and can also be written as 6 sigma. Sigma is a transliteration of the Greek letter ", known as standard deviation in statistics, and is used to indicate how much data is dispersed or how much an individual deviates from the mean. Enterprises can use the different levels of sigma as a comparison to measure their own level of process management.
Six Sigma (6 Sigma) is a management strategy that focuses on setting high goals, collecting data, and analyzing the results to reduce defects in products and services.
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Six Sigma
Also known as: Six Styles.
yards, six sigma.
sigma, which cannot be capitalized, sigma ( is a letter from the Greek word called standard deviation in statistics, and is used to indicate how scattered the data is.
By extension, the defect rate of an average enterprise is about 3 to 4 sigma, which is equivalent to 6,210 errors per million opportunities. If the enterprise reaches 6 sigma, it will almost perfectly meet the customer's requirements, in one.
Out of a million opportunities, there is only one flaw.
Six Sigma is Motorola.
A term invented to describe the goals and processes used to achieve quality improvement. Sigma ( ) is the Greek letter used by statisticians.
Refers to standard deviation.
The term Six Sigma refers to a scale of process change (six standard deviations) that translates to parts per million error defect rates.
Achieving Six Sigma quality performance requires a specialized set of quality improvement methods and statistical tools. Teach these methods and tools to a small group of people known as Six Sigma Black Belts who are responsible full-time for defining, measuring, analyzing, improving, and controlling process quality. Black Belts lead cross-functional teams of employees (each known as a Six Sigma Green Belt) to achieve breakthroughs in process quality.
The Six Sigma Elite team ensures that quality improvement projects focus on the processes that have the greatest impact on the company's long-term growth and success, and also facilitates improvement processes by removing roadblocks in the organization encountered.
The real popularity and development is at General Electric.
The practice of Jack Welch's 6 (Sigma) management developed in the 90s of the 20th century is summed up in total quality management.
The successful experience has refined the essence of process management skills and the most effective methods, and has become a management model to improve the performance and competitiveness of enterprises. This management method has proved to be effective in the practice of many multinational companies such as Motorola, General Electric, Dell, HP, Siemens, Sony, Toshiba, etc. Some domestic institutions have vigorously promoted 6 management work and guided enterprises to carry out 6 management.
See the encyclopedia for details.
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What is the Six Sigma principle?
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Six Sigma
Also known as: 6, 6sigma, cannot use uppercase , sigma ( , 1][2] is a Greek letter, called standard deviation in statistics, used to indicate the degree of dispersion of data. By extension, it means:
The defect rate of the average enterprise is about 3 to 4 sigma, which is equivalent to 6,210 errors per million opportunities. If the company continues to pursue quality improvement to the level of 6 sigma, the performance will almost perfectly meet the customer's requirements, and only one flaw can be found in a million opportunities. The concept of Six Sigma (6) as a quality management concept was first proposed by Bill Smith of Motorola in 1986 with the aim of designing a goal:
Reduce the number of defects in products and processes during the production process, prevent product variation, and improve quality. Its origin in Motorola, really popular and developed, is in the practice of General Electric, in Jack Welch in the 90s of the 20th century to develop 6 (Sigma) management is to summarize the successful experience of total quality management, refine the essence of process management skills and the most effective methods, become a management model to improve enterprise performance and competitiveness. This management method has proved to be effective in the practice of many multinational companies such as Motorola, General Electric, Dell, HP, Siemens, Sony, Toshiba, and Asus.
To this end, some domestic departments and institutions have vigorously promoted 6 management work in domestic enterprises and guided enterprises to carry out 6 management. With the accumulation of practical experience, it has evolved from a simple process optimization concept to a management philosophy. It's not just a measure of business process capabilities, it's not just a set of methods for continuous optimization of business processes.
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Sigma is SD, standard deviation value, 6 sigma is the maximum allowable deviation range can accommodate 6 sd values, indicating that the fluctuation range of the data is small, such as a certain detection data allowable total error of 1, your n measurement data sd is your sigma value of 10, to meet the requirements of 6 sigma, product quality management to reach 6 sigma represents your product defect rate of parts per million.
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6. Sigma puts the customer first. For example, when measuring the performance of a department or an employee, it is important to think from the customer's point of view. Understand what your customers' needs are, then set goals and measure performance against those needs. 2、
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[Six Sigma Management]:
Six Sigma Management is a data-based, near-perfect approach to quality management.
Sigma is a Chinese transliteration of the Greek alphabet, statistically used to express standard deviation, with"σ"Measure the degree to which the quality characteristics deviate from the target value overall. A few sigma is a statistical scale that represents quality. Any one work procedure or process can be represented by a few sigma.
Six sigma can be interpreted as one out of every million chances to go wrong, i.e., the pass rate is. And the pass rate of three sigma is only. Six Sigma's management approach focuses on treating all work as a process, using a quantitative approach to analyze the factors that affect quality in the process, and identifying the most critical factors to improve to achieve higher customer satisfaction.
The role of Six Sigma management]:
Six Sigma management can lead to lower operating costs, improved turnaround times, less material waste, a better understanding of customer needs, increased customer satisfaction, and increased reliability of products and services.
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6sigma is 6sigma management:
Six Sigma management, also known as Six Sigma management, SixSigma consulting and 6 Sigma management, 6 Sigma consulting, is a management strategy that mainly tends to quality management, which was proposed by Motorola in 1986.
This strategy emphasizes setting high goals, collecting data, and analyzing the results to reduce product and service artifact defects.
The principle behind Six Sigma is that if you detect how many defects there are in your project, you can figure out how to systematically reduce defects and make your project as perfect as possible. For a company to meet the Six Sigma standard, it must not have an error rate of more than one in a million.
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