• 제목/요약/키워드: Service DPMO

검색결과 2건 처리시간 0.016초

6 시그마를 이용한 국내 유통산업의 서비스품질 평가에 관한 연구 (A Study on Evaluation of Service Quality in the Retail Industry using the 6 sigma)

  • 유한주;송광석
    • 품질경영학회지
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    • 제34권4호
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    • pp.110-124
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    • 2006
  • There have been various papers about service quality. This article is one of them. This is about the measurement of service quality in the competitive structure between department and discount store. In this paper, we tried to measure the service quality and overall satisfaction by using 6 sigma, degree of combination and top2box which is a little bit different methodology from traditional ones. The data were collected by the internet survey from 1428 and 1605 department and discount store customers respectively. The result shows the different patterns in the each retail industry. Also, there is a significant difference in terms of sigma level in the each retail industry. Finally, we showed the summarized result as the 6 Sigma Portfolio Matrix.

시그마 수준과 계산 방법에 대한 고찰 (A Study on Sigma Level and Its Calculation)

  • 박준오;박성현
    • 품질경영학회지
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    • 제31권2호
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    • pp.194-204
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    • 2003
  • It is very important to understand and interpret the meaning of the sigma level correctly through the Six Sigma project. Especially, the confusion over the relation between sigma level from the short-term point of view and defective proportion or DPMO from the long-term point of view may make a big gap between expected results of the Six Sigma project and real results in the field. The one-tail approximation is commonly used to calculate the sigma level both in most literatures introducing Six Sigma and actual cases of the Six Sigma project. Since the one-tail approximation undervalues the sigma level of the fields such as business and service of which the sigma level is generally low, however. there can be misleading results of the explanation of the sigma level and inappropriate project evaluation. This paper describes the relation between sigma level and defective proportion in detail and clears the difference between the one-tail and two-tail approximation.