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Small-Sample Inspection Plans for the New Product Quality Level Evaluation of Finite Population : Focused on Guided Weapons in Development Stage
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 Title & Authors
Small-Sample Inspection Plans for the New Product Quality Level Evaluation of Finite Population : Focused on Guided Weapons in Development Stage
Shin, Byung-Cheol; Byun, Jai-Hyun; Lee, Chang-Woo; Lee, Ki-Yong; Choi, Jong-Soo; Woo, Hee-Sung; Seo, Bo-Gil;
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 Abstract
In the product development stage, it is very important to ensure demanded quality level before moving to the full-scale manufacturing. For example, in developing guided weapons, live-fire tests are required to verify the final performance of the weapons which are very expensive. The quality evaluation of the guided weapons needs destructive testing, which makes it necessary to test as small number of samples as possible. This paper presents sampling inspection plans and calculating system for finite population guided weapons, which can meet the demanded quality level and confidence level with the minimum number of performance tests. The result of this paper can be useful for any kind of costly destructive testing.
 Keywords
New product;One-shot devices;Finite population;Small-sample inspection plan;Warranted quality level;Confidence level;
 Language
Korean
 Cited by
1.
정밀유도무기 특성을 고려한 명중률 및 신뢰수준 산정방안,서보길;홍석진;

한국산학기술학회논문지, 2016. vol.17. 12, pp.193-197 crossref(new window)
2.
양산단계 군수품에 대한 정부품질보증활동 실효성 향상 방안,신병철;황우열;안남수;김덕환;이계림;장봉기;변재현;

품질경영학회지, 2016. vol.44. 1, pp.153-166 crossref(new window)
 References
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2.
Byun, J.-H., Shin, B.-C., and Lee, C.-W. (2015), A Study on Small-Sample Inspection Plan for New Product Quality Evaluation of Finite Population, Journal of the Korean Institute of Industrial Engineers, 41(1), 115-120. crossref(new window)

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Sherwin, E. R. (2000), Analysis of "One-Shot" Devices, START (Selected Topics in Assurance Related Technologies), A Publication of DoD Reliability Analysis Center, 7(4), 1-4.

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Wilson, E. B. (1927), Probable Inference, the Law of Succession, and Statistical Inference, Journal of the American Statistical Association, 22, 209-212. crossref(new window)