• 제목/요약/키워드: Errors Management

검색결과 1,116건 처리시간 0.027초

An agent-based cockpit task management system: a task-oriented pilot-vehicle interface

  • Kim, J.N.
    • 대한인간공학회지
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    • 제15권2호
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    • pp.99-111
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    • 1996
  • In today's highly automated aircraft, the role of the pilot has changed from an airplane controller to a system manager. As a system manager in a cockpit, today's pilot is in charge of a management-level activity called cockpit task management( CTM). According to earlier studies, pilot errors in performing CTM activities were significant factors in a large number of aircraft accidents and incidents. The primary objective of this research was to reduce CTM-related pilot errors. A prototype pilot- vehicle interface called the cockpit task management system (CTMS) was developed and its effectiveness in improving CTM performance was evaluated. After the CTMS was implemented, it was integrated into a PC-based flight simulator to perform an experiment to evaluate its effectiveness. Eight volunteer subjects were used to collect performance data. The results of the experiment indicated that a statistically significant improvement was observed when the subjects flew with the assistance of the CTMS.

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의료과오를 줄이기 위한 효율적인 병원서비스운영에 대한 실증적 연구 (An Empirical Study on the Efficient Hospital Service Operation Management for the Reduction of Medical Errors)

  • 이돈희;최강화
    • 품질경영학회지
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    • 제38권4호
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    • pp.491-503
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    • 2010
  • This paper presents a research model, which identifies a relationship between medical error reduction, efficiency of organizational systems, and employee satisfaction with organizational support. The proposed model was tested through hypotheses, based on data collected from 210 respondents from the medical staff of large -sized (i.e., more than 500 beds) residential hospitals in cities of South Korea. The results of the study showed that medical error reduction is associated with corrective system and employee satisfaction with organizational support. Therefore, it is very important that organizations improve their employees' satisfaction by providing sufficient support (e.g., information support and sharing, work guide book, etc.) for their work. In addition, in organizational systems, the corrective system has positive relationship with medical error reduction. In terms of corrective procedures, leaders or managers can make improvements by providing and supporting a friendly work environment where errors may be reported without blame and discussed in order to be corrected.

The Application of Machine Vision to IC Surface Inspection

  • Chung, Yi-Chan;Tsai, Chih-Hung;Lin, Yu-Tang
    • International Journal of Quality Innovation
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    • 제4권2호
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    • pp.50-64
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    • 2003
  • During IC inspection, which includes the two parts of Mark and Lead, the deviation of IC on the tape occurring in high speed movements usually generates light reflection effect, which in turn causes errors in IC recognition as measured by machine vision system. This research filters the light reflection effect by developing standard components, identifies the correct position of IC Lead, hence fixes the measurement errors or non-measurability caused by light reflection, avoids the resulting discontinued operation of measuring system, and improves the productivity.

New method for dependence assessment in human reliability analysis based on linguistic hesitant fuzzy information

  • Zhang, Ling;Zhu, Yu-Jie;Hou, Lin-Xiu;Liu, Hu-Chen
    • Nuclear Engineering and Technology
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    • 제53권11호
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    • pp.3675-3684
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    • 2021
  • Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

중앙집중형 풍력발전단지 제어관리시스템 전용 무효전력제어기 통신오류 보완에 관한 연구 (Adaptive Reactive Power Control for Communication Errors of Hierarchical Wind Farm Management Systems)

  • 정승민
    • 풍력에너지저널
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    • 제14권1호
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    • pp.44-51
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    • 2023
  • Some controllers have been introduced in various studies to mitigate the negative effects of renewable sources. These have been modified to fit a formed solution in various ways. This paper deals with the voltage regulation of wind farms in voltage dip situations where communication failures occur. The aim is to discuss the modification of the online wind farm management system. To discuss modifications of the online wind farm management system, we focus on voltage regulation of wind farms when communication failures occur. The structure has been designed to respond to a voltage drop when the outer reference is absent due to communication errors. Since the loss reduction effect has been maintained in the designed case studies, it can be derived that the proposed method can respond to voltage drops, along with a used objective function.

The Impact of Overvaluation on Analysts' Forecasting Errors

  • CHA, Sang-Kwon;CHOI, Hyunji
    • 산경연구논집
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    • 제11권1호
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    • pp.39-47
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    • 2020
  • Purpose: This study investigated the effects of valuation errors on the capital market through the earnings forecasting errors of financial analysts. As a follow-up to Jensen (2005)'s study, which argued of agency cost of overvaluation, it was intended to analyze the effect of valuation errors on the earnings forecasting behavior of financial analysts. We hypothesized that if the manager tried to explain to the market that their firms are overvalued, the analysts' earnings forecasting errors would decrease. Research design, data and methodology: To this end, the analysis period was set from 2011 to 2018 of KOSPI and KOSDAQ-listed markets. For overvaluation, the study methodology of Rhodes-Kropf, Robinson, and Viswanathan (2005) was measured. The earnings forecasting errors of the financial analyst was measured by the accuracy and bias. Results: Empirical analysis shows that the accuracy and bias of analysts' forecasting errors decrease as overvaluation increase. Second, the negative relationship showed no difference, depending on the size of the auditor. Third, the results have not changed sensitively according to the listed market. Conclusions: Our results indicated that the valuation error lowered the financial analyst earnings forecasting errors. Considering that the greater overvaluation, the higher the compensation and reputation of the manager, it can be interpreted that an active explanation of the market can promote the accuracy of the financial analyst's earnings forecasts. This study has the following contributions when compared to prior research. First, the impact of valuation errors on the capital market was analyzed for the domestic capital market. Second, while there has been no research between valuation error and earnings forecasting by financial analysts, the results of the study suggested that valuation errors reduce financial analyst's earnings forecasting errors. Third, valuation error induced lower the earnings forecasting error of the financial analyst. The greater the valuation error, the greater the management's effort to explain the market more actively. Considering that the greater the error in valuation, the higher the compensation and reputation of the manager, it can be interpreted that an active explanation of the market can promote the accuracy of the financial analyst's earnings forecasts.

데이터마이닝 기반 승강기 안전 관리 서비스 시스템 설계 (The Design of Elevator Safety Management Service System based on Data Minining)

  • 김운용
    • 한국정보전자통신기술학회논문지
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    • 제3권4호
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    • pp.83-90
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    • 2010
  • IT융합과 같이 실세계 시스템과 연동되는 컴퓨팅환경의 발전과 더불어 시스템의 물리적 오류에 대한 분석 및 이를 활용한 예측 시스템의 요구가 점차 증가되고 있다. 이러한 물리적 오류는 자연적 현상 및 기계적 오류들과 밀접하게 연관되어지며 다양한 요소들에 의해 예측이 어렵다. 특히 승강기 시스템은 기기의 복잡성 때문에 다양한 문제를 발생 시키며 이들에 대한 효율적인 접근이 필요하다. 이에 본 논문에서는 승강기 시스템에서 이러한 기계적 오류 및 자연적 현상에서 발생 가능한 인자를 수집하고 이들의 분석을 통해 오류 발생을 예측할 수 있도록 데이터마이닝을 적용한 분석 관리 서비스 시스템을 제시하고자한다. 이를 통해 승강기에서 발생되는 오류를 미리 발견하고 경보해 줌으로써 만약의 사태에 대한 초기대응 및 인명구조에 적극적으로 대처할 수 있을 것이다.

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철도인프라 BIM 성과물의 품질검토 절차 및 룰 기반 적용성 검토 (Rule-based Review and Automated Quality Management Process of BIM deliverables for Railway Infrastructures)

  • 강전용;하산 사이에드 모빈;민지선;안준상;최재웅
    • 한국BIM학회 논문집
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    • 제12권1호
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    • pp.23-34
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    • 2022
  • In the current 2D-based design, design reliability is lowered due to interference and inconsistency between plans, errors in drawings and quantities, etc. At the time of transition to BIM-based 3D design, it is necessary to expand the reliability and usability of BIM by eliminating these errors from the design stage through securing the quality of the BIM digital model. Therefore, in the railway infrastructure design stage, the quality management process and standards of the BIM digital model were defined and quality management index were developed. Based on the rule extracted from the quality management index, a pilot quality management was conducted in connection with the commercial Model-Checker rule, problems and improvement plans were derived, and a rule-based automated quality management plan was prepared.

Client/server 환경 하에서의 도면 및 부품 정보통합관리 시스템 개발

  • 신동일;김선호
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.341-345
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    • 1996
  • We have developed the drawing and part information management system that could integrate drawing information with corresponding part information in design process. The modules developed include the drawing information management (DIM) and the part information management(PIM). DIM consist of processing drawing management, approved drawing management, disused drawing management, and drawing print management. PIM consist of new part management, option management, and part change management. Errors which may occur in the design process can be reduced by reference to part information directly. In addition, the number of parts can be reduced by minimizing the frequency of new parts generation through the systematic management.

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국가 화학물질 유해성정보 데이터베이스 구축 과정의 신뢰도 제고 방안에 관한 연구 (Improving the Reliability of the National Database for Chemical Hazard Information)

  • 이소민;이민혁;강미진;권순광;나진성;박백수
    • 한국환경보건학회지
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    • 제46권4호
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    • pp.410-422
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    • 2020
  • Objectives: According to the Act on Registration, Evaluation, Etc. of Chemicals, new and existing chemicals must be registered by 2030. In addition, industries need to submit hazard data as an attachment during the registration process. Therefore, we constructed a nationwide chemical database to support small industry by providing hazard data and original sources. During the process, we developed a new standard procedure for minimizing errors and increasing reliability. Methods: We analyzed the categories of errors and the cause of the errors through the verification results of the 2019 project. We present an improved database construction methodology and system. Results: Errors are categorized according to their causative factors into simple, technical, and structural type errors. Simple errors arise simply because of decreased concentration or negligence in following the instructions. Technical errors are caused by a discrepancy between the professional field and the type of data. Structural errors indicate systemic errors such as incomplete forms on the excel database or ambiguity in the guidelines. Lessons from the errors collected in the 2019 project are used to update the procedures for database authorization and technical guidelines. The main update points are as follows; 'supplementation of review process', 'giving regular training to external reviewers', 'giving additional information to authors, like physico-chemical properties of substances, degradability, etc.', 'amendment of excel form', and 'guideline upgrades'. Conclusions: We conducted this study with the aim of improving the accuracy and reliability of the database of hazard information for chemical substances. The new procedures and guidelines are now being used in the 2020 project for construction of a hazard information database for Korea.