• Title/Summary/Keyword: 오차 관리

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Decision Model of Construction Errors Management Based on Modular Method Construction Process (모듈러 공법의 시공 프로세스 기반 시공 오차 관리 의사 결정 모델)

  • Shin, HyunKyu;Kim, SuYoung;Ahn, YongHan
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.6
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    • pp.98-108
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    • 2017
  • Recently, the development of middle and high-rise building technology using modular construction method has emphasized the importance of site construction error management. The modular construction method is very limited to adjust the construction error in the field because of the factory production characteristics. Therefore, in order to prevent the construction error in advance, a management plan reflecting the characteristics of the modular construction method is required, and it is important to make the decision of the construction participant at each stage. This study analyzed the factor of construction error of modular construction and suggested a decision support model for construction error management based on construction process. The result of this study is expected to be a guideline for the modular construction participant to derive the construction error management plan.

A Study on the sampling Design for the Labor Demand Survey (노동력수요동향조사 표본설계에 관한 연구)

  • 김종호;염준근;김명철;정기문;한성실;김은주
    • The Korean Journal of Applied Statistics
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    • v.12 no.2
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    • pp.375-385
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    • 1999
  • 본 연구에서는 노동력수요동향조사를 위한 새로운 표본설계를 제시하였다. 새로운 표본설계에서는 전국 통계를 산출하기 위한 전국표본과 지역 특성에 맞는 고용정책 및 직업 훈련 계획 수립 등을 위한 지역통계의 수요에 따라 16개 시·도별, 규모별, 산업대분류별로 오차를 관리할 수 있는 지역표본으로 이원화하여 설계하였으며, 규모별, 산업대분류별로 오차를 관리하는 현행 표본조사의 상대표준오차를 검토하여 규모별, 산업중분류별로 합리적인 오차 관리가 가능하도록 설계하였다.

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조사원의 업무할당 및 인구통계학적 특성에 따른 오차분석

  • 김설희
    • Proceedings of the Korean Statistical Society Conference
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    • 2004.11a
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    • pp.29-34
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    • 2004
  • 계속 반복하여 실시되는 통계조사에서 조사원은 오차를 발생시키는 주요 요인으로 간주되고 있다 조사원에 의한 오차를 측정하는 방법으로서 조사표 형태별로 조사원, 집락 및 가구 등 변수에 따라 할당하고 선계방법에 따른 추정 값에 대한 효과 및 효과의 분산을 산출하는 모델을 제시한다. 또한 실제 조사모델로부터 품질관리표본을 추출하여 이를 대상으로 리인터뷰를 실시한 결과를 조사원의 인구통계학적 특성별로 분석하고 불일치지수 등을 산출함으로써 오차를 분석하는 방법을 제시한다.

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A Study for Finding Optimized Cable Forces of Cable Stayed Bridge (사장교 케이블 최적 장력 보정에 관한 연구)

  • Park, Dae-Yong
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.3 no.1
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    • pp.16-20
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    • 2012
  • During construction of the cable-stayed bridge, not only shape of deck and pylon but also cable forces are main factors for geometry control. Especially, geometry control of deck must be controlled for adjusting design value of vertical and lateral alignment as well as closing of key segment. Also, both the deck level error and cable force error occur necessarily during the construction stage in cable stayed bridge. The errors are caused by different of material properties and computer modeling, and construction mistake, and so on. These causes bring about that the forces of cable and the displacement of deck show different tendency from the theoretical values. Therefore, these errors must necessarily be adjusted and can be improved through adjustment of cable length. In this study, a new optimization tool is proposed to adjust the errors of the second Dolsan cable-stayed bridge.

A comparison of single charts for non-normal data (비정규성 데이터에 대한 단일 관리도들의 비교)

  • Kang, Myunggoo;Lee, Jangtaek
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.729-738
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    • 2015
  • In this paper, we compare the robustness to the assumption of normality of the single control charts to control the mean and variance simultaneously. The charts examined were semicircle control chart, max chart and MSE chart with Shewhart individuals control charts. Their in-control and out-of-control performance were studied by simulation combined with computation. We calculated false alarm rate to compare among single charts by changing subgroup size and shifting mean of quality characteristics. It turns out that max chart is more robust than any of the others if the process is in-control. In some cases max chart and MSE chart are more robust than others if the process is out-of-control.

농산물포장상자 중량 허용오차 제안

  • 한국골판지포장공업협동조합
    • Corrugated packaging logistics
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    • s.93
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    • pp.59-64
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    • 2010
  • 골판지조합은 지난 7월13일 농산물품질관리원장에게 "농산물포장용 골판지상자 중량 허용오차 기준 제안"을 하였다. 이번 제안은 농림수산식품부 산하 농산물품질관리원원에서 운영하고 있는 농산물포장 표준규격에서 중량 표시규격은 있으나, 이에 대한 허용오차에 대한 명확한 기준이 없어 실제 거래관계에서 혼선이 야기되고 있으며, 골판지포장은 수분함량 및 평량 허용오차 등으로 인해 동일한 원지배합이라 할지라도 다소의 중량차이가 발생할 수 있고, 또한 KS 표준규격상 라이너, 골심지에 대한 평량 허용차가 ${\pm}4%$, 외부포장용골판지의 수분함량 허용오차가 $10{\pm}2%$임을 감안해서, 현재 명확치 않은 중량 허용오차 기준을 ${\pm}5%$로 개정하는 것이 상당하다는 판단을 골판지포장기업 35개사를 대상으로 설문조사한 자료를 바탕으로 보고서를 작성하여 함께 제출하였다.

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품질관리표본(Quality Control Sample)의 리인터뷰에 의한 사업체조사의 응답오차 측정

  • Kim, Seol-Hui;Park, Hyeon-Yeong
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.53-58
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    • 2003
  • 최근 경제 사회의 급속한 발전에 따라 개인의 활동분야가 다양해지고 개인비밀보호 인식이 커지면서 응답자들이 통계조사에 잘 협조하지 않는 경우가 늘어나고 있다. 따라서 대부분의 통계를 현장조사에 의존하여 생산하고 있는 통계청에서는 현장조사 결과물의 품질상태에 좀 더 관심을 가져야만 하게 되었다. 이러한 현장조사에 대한 풀질관리의 일환으로 현재 통계청에서는 통계별 조사대상으로부터 품질관리표본(Quality Control Sample)을 추출하고 이를 대상으로 리인터뷰를 실시함으로써 응답오차측정, 조사현장의 실터파악, 응답자 의견수렴 등에 활용하고 있다. 리인터뷰는 조사직원의 고의적인 자료조작 또는 보충교육 필요성 등 현장조사업무를 평가하거나 응답분산(simple response variation), 응답편의(response bias) 등을 산출하고, 이를 분석하는 모델을 이용하여 응답결과의 신뢰도를 분석하는데 목적을 두고 있다. 본 연구에서는 품질관리표본(QC Sample) 설계 및 추출, 리인터뷰 시나리오개발, CATI(Computer Assisted Telephone Interviewing)를 이용한 리인터뷰 기법 등을 통계청 사업체조사 모니터링 사례를 중심으로 설명하고 조사직원 특성별 응답오차 측정 및 비교, 정확성 항목에 대한 차이분석 등 격과에 대하여 논하고자 한다.

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Robust Speed Control of DC Motor Using PID-Supervision Hybrid Controller (PID-관리 복합형 제어기를 이용한 직류 전동기의 강인한 속도제어)

  • 전정채;조현섭;박왈서
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.4
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    • pp.70-74
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    • 1998
  • Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID contoller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. In this paper, PID-supervision hybrid control methods for motor control system (without the supervisory controller) is stable in the sense that the error is inside the constraint set, the supervisory control is idle. If the error hits the boundary of the constraint, the supervisory controller beings operation to force the error back to the constraint set. We prove that the PID-supervision hybrid control system is globally stable in the sense that the error is guaranteed to be within the tolerance limits specified by the system designer.

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Application of Westgard Multi-Rules for Improving Nuclear Medicine Blood Test Quality Control (핵의학 검체검사 정도관리의 개선을 위한 Westgard Multi-Rules의 적용)

  • Jung, Heung-Soo;Bae, Jin-Soo;Shin, Yong-Hwan;Kim, Ji-Young;Seok, Jae-Dong
    • The Korean Journal of Nuclear Medicine Technology
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    • v.16 no.1
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    • pp.115-118
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    • 2012
  • Purpose: The Levey-Jennings chart controlled measurement values that deviated from the tolerance value (mean ${\pm}2SD$ or ${\pm}3SD$). On the other hand, the upgraded Westgard Multi-Rules are actively recommended as a more efficient, specialized form of hospital certification in relation to Internal Quality Control. To apply Westgard Multi-Rules in quality control, credible quality control substance and target value are required. However, as physical examinations commonly use quality control substances provided within the test kit, there are many difficulties presented in the calculation of target value in relation to frequent changes in concentration value and insufficient credibility of quality control substance. This study attempts to improve the professionalism and credibility of quality control by applying Westgard Multi-Rules and calculating credible target value by using a commercialized quality control substance. Materials and Methods : This study used Immunoassay Plus Control Level 1, 2, 3 of Company B as the quality control substance of Total T3, which is the thyroid test implemented at the relevant hospital. Target value was established as the mean value of 295 cases collected for 1 month, excluding values that deviated from ${\pm}2SD$. The hospital quality control calculation program was used to enter target value. 12s, 22s, 13s, 2 of 32s, R4s, 41s, $10\bar{x}$, 7T of Westgard Multi-Rules were applied in the Total T3 experiment, which was conducted 194 times for 20 days in August. Based on the applied rules, this study classified data into random error and systemic error for analysis. Results: Quality control substances 1, 2, and 3 were each established as 84.2 ng/$dl$, 156.7 ng/$dl$, 242.4 ng/$dl$ for target values of Total T3, with the standard deviation established as 11.22 ng/$dl$, 14.52 ng/$dl$, 14.52 ng/$dl$ respectively. According to error type analysis achieved after applying Westgard Multi-Rules based on established target values, the following results were obtained for Random error, 12s was analyzed 48 times, 13s was analyzed 13 times, R4s was analyzed 6 times, for Systemic error, 22s was analyzed 10 times, 41s was analyzed 11 times, 2 of 32s was analyzed 17 times, $10\bar{x}$ was analyzed 10 times, and 7T was not applied. For uncontrollable Random error types, the entire experimental process was rechecked and greater emphasis was placed on re-testing. For controllable Systemic error types, this study searched the cause of error, recorded the relevant cause in the action form and reported the information to the Internal Quality Control committee if necessary. Conclusions : This study applied Westgard Multi-Rules by using commercialized substance as quality control substance and establishing target values. In result, precise analysis of Random error and Systemic error was achieved through the analysis of 12s, 22s, 13s, 2 of 32s, R4s, 41s, $10\bar{x}$, 7T rules. Furthermore, ideal quality control was achieved through analysis conducted on all data presented within the range of ${\pm}3SD$. In this regard, it can be said that the quality control method formed based on the systematic application of Westgard Multi-Rules is more effective than the Levey-Jennings chart and can maximize error detection.

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The Detection of Unreliable Data in Survey Database (조사자료 데이터베이스의 허위 잠재 가능성 분류군 탐지)

  • Byon, Lu-Na;Han, Jeong-Hye
    • The KIPS Transactions:PartD
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    • v.12D no.4 s.100
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    • pp.657-662
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    • 2005
  • The Non-Sampling Error can happen any time by means of the intended or unintended error by the interviewer or respondent, but it is very difficult to find the error in survey database because it can hardly be computed mathematically and systematically. Until now, we have found it accidentally through the simple relation between the items or through the inspection from the random field. Therefore we introduced an heuristic methodology that can detect the interviewer's error by statistical decision-making or data mining techniques with a case study. It will be helpful so as to improve the statistical duality and provide efficient field management for the supervisor.