http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
타겟 샘플링 검사를 통한 출하품질 향상에 관한 사례 연구
김준세 ( Junse Kim ),이창기 ( Changki Lee ),김경남 ( Kyungnam Kim ),김창우 ( Changwoo Kim ),송혜미 ( Hyemi Song ),안성수 ( Seoungsu Ahn ),오재원 ( Jaewon Oh ),조현상 ( Hyunsang Jo ),한상섭 ( Sangseop Han ) 한국품질경영학회 2021 품질경영학회지 Vol.49 No.3
Purpose: For improving outgoing quality, this study presents a novel sampling framework based on predictive analytics. Methods: The proposed framework is composed of three steps. The first step is the variable selection. The knowledge-based and data-driven approaches are employed to select important variables. The second step is the model learning. In this step, we consider the supervised classification methods, the anomaly detection methods, and the rule-based methods. The applying model is the third step. This step includes the all processes to be enabled on real-time prediction. Each prediction model classifies a product as a target sample or random sample. Thereafter intensive quality inspections are executed on the specified target samples. Results: The inspection data of three Samsung products (mobile, TV, refrigerator) are used to check functional defects in the product by utilizing the proposed method. The results demonstrate that using target sampling is more effective and efficient than random sampling. Conclusion: The results of this paper show that the proposed method can efficiently detect products that have the possibilities of user's defect in the lot. Additionally our study can guide practitioners on how to easily detect defective products using stratified sampling.