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논문 기본 정보

자료유형
학술저널
저자정보
Yeneneh Tamirat (Asia University) Mengistu Abera Mulatu (University of Swaziland)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.17 No.4
발행연도
2018.12
수록면
796 - 804 (9page)
DOI
10.7232/iems.2018.17.4.796

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초록· 키워드

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A variable sampling scheme for first-order autoregression between linear profiles is proposed. The scheme considers present and past information by means of an exponentially weighted moving average (EWMA) yield index. The advantage is that the number of profiles required for inspection is efficient compared to the variable single sampling plan. As the value of the EWMA parameter is equal to one, the proposed scheme becomes equivalent to a single variable sampling. A nonlinear optimization technique is applied to determine the decision variables. For reference, tables of the critical values and a number of profiles are prepared for combinations of the smoothing constant, correlation coefficient, acceptable quality level, and the lot tolerance proportion of defects at a given producer’s and consumer’s risk. The new method is compared with an existing single variable sampling plan through an average number of profiles and an operating characteristics curve. A numerical example is provided to show the appropriateness of the proposed plan.

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ABSTRACT
1. INTRODUCTION
2. PROCESS YIELD INDEX FOR LINEAR PROFILES WITH TWO-SIDED SPECIFICATIONS
3. PROPOSED SAMPLING PLAN FOR AUTOCORRELATION BETWEEN LINEAR PROFILES
4. COMPARISON STUDY
5. AN ILLUSTRATIVE EXAMPLE
6. CONCLUSION
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