• 제목/요약/키워드: target quality

검색결과 2,193건 처리시간 0.031초

공정능력지수에 대한 비교와 적용 (Comparison and Application of Process Capability indices)

  • 정영배;김연수
    • 산업경영시스템학회지
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    • 제30권4호
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    • pp.182-189
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    • 2007
  • Process Capability indices(PCIs) have been widely used in manufacturing industries to provide a quantitative measure of process performance. PCIs have been developed to represent process capability more exactly. The traditional process capability indices Cp, Cpk, Cpm, $Cpm^+$ have been used to characterize process performance on the basis of univariate quality characteristics. Cp, Cpk consider the process variation, Cpm considers both the process variation and the process deviation from target and $Cpm^+$ considers economic loss for the process deviation from target In the previous studies, only one designated location on each part is measured. System process capability index even though in single process, multiple measurement locations on each part are required to calculate the reliable process capability. In manufacturing industry, there is growing interest in quantitative measures of process variation under multivariate quality characteristics. The multivariate process capability index incorporates both the process variation and the process deviation from target or considers expected loss caused by the process deviation from target. In this paper, we compare various process capability indices and propose the application method of PCIs.

경전철 노선의 서비스가용도 목표값 설정을 위한 정량적 예측모델에 관한 연구 (A Study on the Quantitative Prediction Model for Setting the Target Value of Service Availability for a LRT Line)

  • 이창형;이종우
    • 한국철도학회논문집
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    • 제15권3호
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    • pp.278-285
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    • 2012
  • 경전철 민자사업에서는 서비스 품질에 대한 핵심성과지표(KPI)로서 승객관점에서의 서비스가용도가 사용된다. 그러나 국내 경험이 부족한 서비스가용도는 목표 값 설정 시 많은 논쟁이 발생되어 왔다. 서비스가용도 목표값은 시스템 사양서 및 운전운영계획에 반영하기 위하여 프로젝트 초기단계에 설정되어야 한다. 따라서 본 논문에서는 경전철 프로젝트 초기단계에서 합리적으로 달성 가능한 서비스가용도 목표 값을 설정하기 위하여 서비스가용도를 정량적으로 예측할 수 있는 예측모델을 개발하였다. 또한 서비스가용도 목표 값 설정 시 가장 많이 비교되는 열차 정시성을 이론적으로 모델링하여 서비스 가용도와 열차정시성과의 관계와 차이점을 분석하였다.

국방 품질보증 활동 강화를 위한 샘플링 방법 개선: 전투물자 및 탄약 분야 사례 위주 (Sampling Procedures Enhancement in Government Defense Quality Assurance Procedures: Case Studies in Combat Force Support Material & Ammunition Areas)

  • 안남수;정지선;정운권;황우열;박상원
    • 품질경영학회지
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    • 제40권3호
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    • pp.245-258
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    • 2012
  • Purpose: Recently, many quality issues are aroused in military forces, such as failures in K-series weapons, combat boots defects and 40mm ammunition explosion accident. To address these problems, the one and only government defense quality assurance agency, DTaQ(Defense Agency for Technology & Quality) tried to improve many quality assurance procedures and introduced new systems such as MRA(Manufacturing Readiness Assessment), TRA(Technology Readiness Assessment), and etc. However, as the amount of war supplies increasing every year, the resource(budget and manpower) for quality assurance is limited. Therefore, DTaQ had difficulty to handle the issue efficiently and effectively, and we propose the method to address this problem. Methods: The most popular quality assurance technique is a sampling method, in this research, we first review the many sampling techniques and compare the strength and weakness of each method. After then, we selected the most appropriate sampling techniques and applied the procedures in combat force support material and ammunition areas. Results: We can reduce the number of samples dramatically, thus the required amount of labor time and money can be saved. Also, the new sampling technique enforces the supplier to produce the product which meets the target value(desirable value). Conclusion: We can reduce the number of samples dramatically, thus the required amount of labor time and money can be saved. Also, the new sampling technique enforces the supplier to produce the product which meets the target value(desirable value). Lastly, since the new sampling method requires many numerical calculations, we developed a simple android OS smart-phone application which can be used easily in field.

연구데이터 품질관리를 위한 프로세스 모델 제안 (Proposal of Process Model for Research Data Quality Management)

  • 한나은
    • 정보관리학회지
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    • 제40권1호
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    • pp.51-71
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    • 2023
  • 본 연구는 공공데이터 품질관리 모델, 빅데이터 품질관리 모델, 그리고 연구데이터 관리를 위한 데이터 생애주기 모델을 분석하여 각 품질관리 모델에서 공통적으로 나타나는 구성 요인을 분석하였다. 품질관리 모델은 품질관리를 수행하는 객체인 대상 데이터의 특성에 따라 생애주기에 맞추어 혹은 PDCA 모델을 바탕으로 구축되고 제안되는데 공통적으로 계획, 수집 및 구축, 운영 및 활용, 보존 및 폐기의 구성요소가 포함된다. 이를 바탕으로 본 연구는 연구데이터를 대상으로 한 품질관리 프로세스 모델을 제안하였는데, 특히 연구데이터를 대상 데이터로 하여 서비스를 제공하는 연구데이터 서비스 플랫폼에서 데이터를 수집하여 서비스하는 일련의 과정에서 수행해야하는 품질관리에 대해 계획, 구축 및 운영, 활용단계로 나누어 논의하였다. 본 연구는 연구데이터 품질관리 수행 방안을 위한 지식 기반을 제공하는데 의의를 갖는다.

경제성을 고려한 공정 목표값 최적화 (An Economic Optimization of the Target Value)

  • 윤철환;유정현;윤덕균
    • 산업경영시스템학회지
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    • 제21권45호
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    • pp.201-213
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    • 1998
  • We address the problem of choosing the most economic mean value for an automatic filling operation on a production line through the sampling inspection. If quality characteristic of a unit is less than inspection specification then the goods is not accepted. Otherwise, it is accepted. The lots that the numbers of non-conforming units in a sample are larger than the allowable number of non-conforming units are rejected. The non-conforming units in the rejected lots are separated by the screening inspection. The non-conforming units separated are sold in discount price. We assume that quality characteristic is larger-the-better characteristic, the distribution of quality characteristic is normal distribution, and the standard deviation of the distribution is known. This paper presents total expected profit function model considering sales revenue, inspection costs, and material costs. The manufacturing process mean value maximizing total expected profit is determined, and the results of the process target value and total expected profit is analyzed as coefficients change.

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Shrimp Quality Detection Method Based on YOLOv4

  • Tao, Xingyi;Feng, Yiran;Lee, Eung-Joo;Tao, Xueheng
    • 한국멀티미디어학회논문지
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    • 제25권7호
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    • pp.903-911
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    • 2022
  • A shrimp quality detection model using YOLOv4 deep learning algorithm is designed, which is superior in terms of network architecture, data processing and feature extraction. The shrimp images were taken and data expanded on their own, the LableImage platform was used for data annotation, and the network model was trained under the Darknet framework. Through comparison, the final performance of the model was all higher than other common target detection models, and its detection accuracy reached 93.7% with an average detection time of 47 ms, indicating that the method can effectively detect the quality of shrimp in the production process.

Crosstalk between RNA silencing and RNA quality control in plants

  • Yun Ju Kim
    • BMB Reports
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    • 제56권6호
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    • pp.321-325
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    • 2023
  • RNAs are pivotal molecules acting as messengers of genetic information and regulatory molecules for cellular development and survival. From birth to death, RNAs face constant cellular decision for the precise control of cellular function and activity. Most eukaryotic cells employ conserved machineries for RNA decay including RNA silencing and RNA quality control (RQC). In plants, RQC monitors endogenous RNAs and degrades aberrant and dysfunctional species, whereas RNA silencing promotes RNA degradation to repress the expression of selected endogenous RNAs or exogenous RNA derived from transgenes and virus. Interestingly, emerging evidences have indicated that RQC and RNA silencing interact with each by sharing target RNAs and regulatory components. Such interaction should be tightly organized for proper cellular survival. However, it is still elusive that how each machinery specifically recognizes target RNAs. In this review, we summarize recent advances on RNA silencing and RQC pathway and discuss potential mechanisms underlying the interaction between the two machineries.

서화천 유역 비점오염원 관리를 위한 부하지속곡선 적용성 연구 (A Study on the Applicability of Load Duration Curve for the Management of Nonpoint Source Pollution in Seohwacheon Basin)

  • 갈병석;문현생;홍선화;박천동;민경옥;박재범
    • 한국지리정보학회지
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    • 제23권3호
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    • pp.174-191
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    • 2020
  • 본 연구에서는 대청호 상류에 있는 서화천 유역에서 부하지속곡선을 통한 소유역별 비점오염원 취약지역 및 관리 오염물질과 관리 시기를 분석하였다. 먼저 부하지속곡선을 만들기 위하여 장기 유출 모형인 SWAT를 구축하여 유량지속곡선(Flow Duration Curve)을 작성하였으며 그 결과에 목표 수질을 곱하여 부하지속곡선(Load Duration Curve)을 작성하였다. 목표 수질은 서화천 비점오염원 관리를 위해 지난 2017년 11월부터 측정한 모니터링 자료를 사용하였으며 측정자료의 60분위에 해당하는 값을 목표 수질로 설정하였다. 이때 산정된 값이 하천 생활환경 기준의 "약간좋음"(II)을 초과할 경우 목표 수질을 "약간 좋음"(II)으로 제한하였다. 비점오염원 취약지역은 목표 수질을 초과하는 초과율을 이용하여 선정하였으며 초과 되는 오염물질을 관리 물질로 판단하고 계절별 평가를 통해 관리시기를 선정하였다.

기동표적 추적을 위한 상호작용다수모델 추적필터에 관한 연구 (The study on target tracking filter using interacting multiple model for tracking maneuvering target)

  • 김승우
    • 전기전자학회논문지
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    • 제11권4호
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    • pp.137-144
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    • 2007
  • 함포의 사격통제장치 성능은 크게 하드웨어(H/W)적인 오차와 소프트웨어(S/W)적인 오차로 구분할 수 있으며, 이중 S/W 오차에 해당하는 표적의 위치, 속도, 가속도 등을 추정하는 추적필터 오차는 탄도계산장치의 성능에 중요한 영향을 미친다. 함포의 정확한 예상탄착점 형성과 사격시 명중률 향상을 위하여 정확한 미래위치의 표적 상태정보가 필요하다. 표적 추적필터 알고리즘은 Single Singer Model, Fixed Gain 필터 알고리즘, IMM, PBIMM등이 있다. 본 논문에서는 최근 국내 함정에 적용예정인 IMM 추적필터를 설계하였다. IMM 추적필터를 위해 CV모델, Song 모델, CTR모델을 사용하여 동역학 모델을 만들었으며, 추적성능을 Monte-Carlo 시뮬레이션을 통해 해석해 보았다.

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경기도 도시지역 환경대기질의 시공간적 추이와 특성 (Temporal and Spatial Variation and Characteristics of Ambient Air Quality in Urban Areas in Gyeonggi Province)

  • 김종찬
    • 한국환경보건학회지
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    • 제38권3호
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    • pp.269-276
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    • 2012
  • Objectives: The purpose of this study was to provide policy directions for air pollution reduction by analyzing the variation in the characteristics of air contaminants around the Gyeonggi Province area. Methods: The data used in the study was obtained from air quality monitoring stations operated by the Gyeonggi Provincial Government. The target area was the air quality management area of the Gyeonggi Province region. Results: The concentration of $PM_{10}$ (particles measuring $10{\mu}m$ or less) in 2009 was $60{\mu}g/m^3$, which has been reduced by about 2.7% per year after improvement countermeasures were emplaced. The air pollution control policy was especially more effective for coarse particulate matter (CPM, $PM_{10-2.5}$). The improvement of $NO_2$ pollution was generally very low, especially in cities which had considerable automobile traffic. The concentration of $SO_2$ pollution was rapidly improved in industrial areas, but did not show any difference for multiple and general cities. The predicted concentration of $PM_{10}$ for 2014 based on the trend over 2001-2009 was $53.4{\mu}g/m^3$, which fails to meet the target concentration of $40{\mu}g/m^3$. The predicted concentration of $NO_2$ shows a very low probability of achieving the target concentration of 22 ppb, and thus the current improvement of air quality has proven unsatisfactory. Conclusion: Air pollution control policy should be enforced according to regional pollution characteristics in order to obtain maximum effectiveness in improvement.