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식스시그마의 1.5σ 이동에 대한 소고

A Note for 1.5σ Shift of Six Sigma

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주제분류산업공학

초록

Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6 . Sigma( ) is a statistic representing the standard deviation of the normal distribution, and 6 level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6 level achieves the 0.002 defectives per one million units. However, in the field, the 6 level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6 level in the statistical viewpoint. This is because field practitioners accept a 1.5 shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5 shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5 shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5 shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5 shift empirically recognized by practitioners.

Abstract

Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6 . Sigma( ) is a statistic representing the standard deviation of the normal distribution, and 6 level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6 level achieves the 0.002 defectives per one million units. However, in the field, the 6 level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6 level in the statistical viewpoint. This is because field practitioners accept a 1.5 shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5 shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5 shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5 shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5 shift empirically recognized by practitioners.

참고문헌 (34)

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