• 제목/요약/키워드: data quality management process model

검색결과 354건 처리시간 0.025초

중첩 NHPP를 이용한 소프트웨어 신뢰도 평가 모형 연구 (A Study on Software Reliability Assessment Model of Superposition NHPP)

  • 김도훈;남경현
    • 품질경영학회지
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    • 제36권1호
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    • pp.89-95
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    • 2008
  • In this paper, we propose a software reliability growth model based on the superposition cause in the software system, which is isolated by the executed test cases in software testing. In particular, our model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process, and is formulated as a nonhomogeneous Poisson process(NHPP). Further, it is applied to fault-detection data, the results of software reliability assessment are shown, and comparison of goodness-of-fit with the existing software reliability growth model is performed.

불확실한 환경에서의 다특성치 강건설계를 이용한 생산시스템 설계에 관한 연구 (A Study on Design of Production System Using Multiple Characteristics Robust Design in Uncertain Environment)

  • 양광모;서장훈;박진홍;강경식
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2004년도 춘계학술대회
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    • pp.61-65
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    • 2004
  • As technique that can contribute in quality improvement in design process to overcome shortcoming of traditional quality control, call design or development department quality control activity that is achieved to reduce gun damage shuddering at circle minimizing change or side effect of product performance as off-line quality control. This paper discuss optimal process design of investment projects expansion and replacement investment on each line or individual in the production. Generally optimal plant design has add to a few method by Subsidiary means with use a especial method. And then in this paper, a Robust design is presented, which may be effective to the processes appraisal or improvement. We propose that should make a optimal plant design model for reducing field failure rate to assign by real data on different factors in plant system. Using this model, robust design of taguchi method used in this comprehensive method for reducing field failure rate in plant system.

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품질경영의 활동요인과 경영성과와의 관련성에 관한 연구 - 건설업을 중심으로 - (A Affect on Quality Management Factors and Performance - Focus on Construction Industry -)

  • 이내형;김병찬
    • 디지털산업정보학회논문지
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    • 제9권3호
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    • pp.195-209
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    • 2013
  • Purpose of this study is to empirically consider relation between QM activity factor and management result. For this, following 6 major variables of QM activity were established as independent variable; CEO's leadership, communication, process control, standardization, full participation and education/training while satisfaction of members and improvement of quality were established as dependent variable. And, a model was set up and hypothesis verification was conducted on the basis of data collected through questionnaires. The results are summarized as follows; First, QM factors which influenced satisfaction of members in management result were CEO's leadership, communication, process control, full participation and education/training but 'standardization' factor was not statistically significant. Second, QM factors which influenced improvement of quality in management result were CEO's leadership, communication, standardization, full participation and education/training but 'process control' factor was not statistically significant. Third, among main factors of QM activity, the factor which preferentially influenced satisfaction of members was 'full participation' factor while the factor which preferentially influenced improvement of quality was 'standardization' factor. According to such results, it is required to seek a statistical method regarding QM activity with focus on the factor of 'full participation' and 'standardization' among other things for the purpose of satisfaction of members as well as improvement of quality. It is believed that implication of this study can be useful information to realize management result considering main factors of QM activity and that it also can be basic reference data to seek a statistical method for satisfaction of members and improvement of quality by grasping core factors having influence over QM activity.

Critical Success Factors of TQM Implementation in Vietnamese Supporting Industries

  • TRANG, Tran Van;DO, Quang Hung
    • The Journal of Asian Finance, Economics and Business
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    • 제7권7호
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    • pp.391-401
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    • 2020
  • The objective of this study is to prioritize the Total Quality Management (TQM) factors based on fuzzy Analytical Hierarchy Process (AHP) method in Vietnamese supporting industries. Through an in-depth literature review, eight criteria were identified. These criteria were then divided into 32 sub-criteria. The fuzzy AHP is used to determine the percent weightings of eight categories of performance criteria that were identified via a review of the quality-management literature. These criteria include management commitment, role of the quality department, training and education, continuous improvement, quality policies, quality data and reporting, communication to improve quality, and customer satisfaction orientation. An empirical analysis of the criteria of each stage using the fuzzy AHP methodology and the expert opinion of quality management are used to evaluate the percent weightings of the criteria and sub-criteria that are synonymous with TQM implementation. The results showed that management commitment is the most critical factor; among sub-criteria, supports and responsibilities of top management is the most important. The study also identified the rank order of critical success factors of TQM. The findings suggest a generic hierarchy model for organizations to prioritize the critical factors and formulate strategies for implementing TQM in supporting industries, as well as other industries in Vietnam.

데이터 마이닝을 이용한 시멘트 소성공정 질소산화물(NOx)배출 관리 방법에 관한 연구 (A Study on NOx Emission Control Methods in the Cement Firing Process Using Data Mining Techniques)

  • 박철홍;김용수
    • 품질경영학회지
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    • 제46권3호
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    • pp.739-752
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    • 2018
  • Purpose: The purpose of this study was to investigate the relationship between kiln processing parameters and NOx emissions that occur in the sintering and calcination steps of the cement manufacturing process and to derive the main factors responsible for producing emissions outside emission limit criteria, as determined by category models and classification rules, using data mining techniques. The results from this study are expected to be useful as guidelines for NOx emission control standards. Methods: Data were collected from Precalciner Kiln No.3 used in one of the domestic cement plants in Korea. Thirty-four independent variables affecting NOx generation and dependent variables that exceeded or were below the NOx emiision limit (>1 and <0, respectively) were examined during kiln processing. These data were used to construct a detection model of NOx emission, in which emissions exceeded or were below the set limits. The model was validated using SPSS MODELER 18.0, artificial neural network, decision treee (C5.0), and logistic regression analysis data mining techniques. Results: The decision tree (C5.0) algorithm best represented NOx emission behavior and was used to identify 10 processing variables that resulted in NOx emissions outside limit criteria. Conclusion: The results of this study indicate that the decision tree (C5.0) can be applied for real-time monitoring and management of NOx emissions during the cement firing process to satisfy NOx emission control standards and to provide for a more eco-friendly cement product.

Savitzky-Golay 필터와 미분을 활용한 LSTM 기반 지하수 수위 예측 모델의 성능 비교 (Performance Comparison of LSTM-Based Groundwater Level Prediction Model Using Savitzky-Golay Filter and Differential Method )

  • 송근산;송영진
    • 반도체디스플레이기술학회지
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    • 제22권3호
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    • pp.84-89
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    • 2023
  • In water resource management, data prediction is performed using artificial intelligence, and companies, governments, and institutions continue to attempt to efficiently manage resources through this. LSTM is a model specialized for processing time series data, which can identify data patterns that change over time and has been attempted to predict groundwater level data. However, groundwater level data can cause sen-sor errors, missing values, or outliers, and these problems can degrade the performance of the LSTM model, and there is a need to improve data quality by processing them in the pretreatment stage. Therefore, in pre-dicting groundwater data, we will compare the LSTM model with the MSE and the model after normaliza-tion through distribution, and discuss the important process of analysis and data preprocessing according to the comparison results and changes in the results.

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Paperless 해운 물류를 위한 UNeDocs 적용 방안 연구 (The study on a plan for applying UNeDocs to Maritime Logistics to achieve its paperless logistics)

  • 안경림
    • 디지털산업정보학회논문지
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    • 제5권2호
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    • pp.199-208
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    • 2009
  • Mosts of export/import cargo has been moving using maritime transport means. Korea had been driven the system automation project using EDI document since the mid-1990s. However, this automation system comes upon about 40-50% against overall maritime business process, manual or paper document processing work is existing as ever. International e-business environment also has changing into electronic form document transaction from paper document-based transaction. International standardization organization, UN/CEFACT proposed UNeDocs for paperless jtransaction. UNeDocs is a specification to define XML data model as well as electronic form. With UNeDocs, it is not necessary to generate the duplexed data, and it can support user convenient and guarantee the flexibility. This paper defines the UNeDocs data model for EDI and Off-Line processing at the current maritime business. Then, it have to check XML syntax and structure for the defined data model through quality of document check system. Also, it explains the applying plan about the defined UNeDocs data model. It is possible to support paperless transaction as defining UNeDocs-based standard data model and converting into paper document, XML and EDI document using UNeDocs data model.

처리시간을 고려한 분산시스템의 서비스 품질분석 (QoS Analysis of a Distributed System Considering the Processing Time)

  • 김정호;박종훈
    • 품질경영학회지
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    • 제39권3호
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    • pp.412-421
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    • 2011
  • In this paper, we introduce Quality of Service(QoS) analytic model of a distributed system that decentralizes the process nodes performing each task and communicates through a network for cooperation. The model advances a service reliability model of Dai et a1.(2003) by means of considering the processing time. The service is assumed to be provided by a centralized heterogeneous distributed system which is composed of some subsystems managed by a control center. The QoS is defined as the probability that a service is provided successfully in an allowed time, we consider the hardware/software reliability and the processing time which include program execution time, data transfer time. We derive the processing time distribution for a required service through convolution of corresponding probability density function. An application example is used to explain the procedure of computing quality of service.

PDCA기반 CIPP 모형을 적용한 전문대학 유아교육과 교육과정 질 관리 방안 연구 (A Study on the Measures for Managing the Quality of Curriculum of Early Childhood Education Department in College with the Application of CIPP Model Based on PDCA)

  • 김옥주
    • 한국융합학회논문지
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    • 제10권1호
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    • pp.215-226
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    • 2019
  • 본 연구의 목적은 교육과정 질 관리에 대한 문헌 고찰과 전문대학 유아교육과 교육과정 질 관리에 대한 사례 분석을 토대로 시사점 도출 및 전문대학 직업교육에 적합한 평가 모형을 설계하고, 평가 모형을 적용한 유아교육과의 체계적인 교육과정 질 관리 방안을 모색하는 것이다. 연구 핵심내용으로 학과 차원에서 교육과정 질 관리를 체계적으로 접근하기 위한 방안으로 학사행정적인 절차로서 PDCA의 절차를 활용하고, PDCA 평가(C) 단계에서 국내 뿐 아니라 국외에서도 교육과정 평가를 위해 다수 활용되고 있는 프로그램 평가 모형인 CIPP 모형을 활용한 전문대학 유아교육과 교육과정 질 관리 모형을 제시하며, 구성원들의 역할 및 질 문화를 제안하였다. 이러한 연구결과는 향후 전문대학 유아교육과에서 다양한 기관 및 정책적 지원을 위한 사업에서 요구하는 교육과정 질 관리를 위한 기초자료로 활용되기를 기대된다.

무산소-산소 공정에서 생물학적 질소 제거 모델의 검증 (Verification of biological nitrogen removal model in anoxic-oxic process)

  • 이병대;정경훈
    • 한국환경과학회지
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    • 제14권12호
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    • pp.1155-1161
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    • 2005
  • Anoxic-oxic process were analyzed numerically for the each unit and final TN effluent by Water Quality Management(WQM) model and the results were compared data from these sewage or wastewater treatment plants. No bugs and logic error were occurred during simulation work. All of the simulation results tried to two times were obtained and both results were almost same thus this model has good reappearance. A few of simulation results were deviated with measured data because lack of influent water qualities are reported however simulation results have wholly good relationship with measured data. Also each unit of simulation result was kept good relationship with that of measured data therefore this WQM model has good reliance. Finally, WQM model predicts final TN effluent within ${\pm}4.1\;mg/{\ell}$