• 제목/요약/키워드: 품질 관리

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Analysis for Case Study of Quality Management System to Solve Corporate Problems (기업의 문제해결을 위한 품질경영시스템 적용사례 분석)

  • Seo, Suwon;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.191-203
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    • 2018
  • Identify the effects of ISO quality management system on the durability of the enterprise by applying it to early startups and small - and medium-sized enterprises. In particular, the quality management system of a technology start-up small and medium sized companies is important in applying the management system to the financial, management and quality control services rather than to research and development. The quality management system is applied to the medical equipment manufacturers, mobile phone brokers, foreign Chinese companies, and components manufacturers for diesel engines.Try it. Check the case where the quality management system has been applied to the company concerned and the nonconformities have been improved. In addition, the success of the project was determined by applying the quality control system to maintain the stability and perpetuation of the company through the case of the failed selection. The company explains that recently, it must appoint internal auditors to carry out continuous improvement activities and that those who want the development and continuity of the company must reflect the quality management system.

A Case Study on Improvement of Data Management Process for Enhancing Data Quality: Focus on Data Standards and Requirement Management (데이터 품질 향상을 위한 데이터 관리 프로세스 개선 사례 연구: 데이터 표준과 요구사항 관리 중심으로)

  • Heh, Hee-Joung;Kim, Jong-Woo
    • Information Systems Review
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    • v.10 no.1
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    • pp.91-113
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    • 2008
  • Recently, as most functional business activities in an enterprise are supported by computerized information systems, data duplication and inconsistency among functional information systems become serious problems. It brings people to have many interests on data quality management. This paper presents a case study in which a company had improved their data quality by enhancing their data quality management processes. Though the case study, we describe main issues and risk factors in the process of data quality improvement projects as well as solutions to resolve the issues, which can be referred by other companies who pursue data quality improvement. Also, the improvement effects are evaluated by multidimensional perspectives which include quantitative and qualitative measures on data quality, productivity, customer satisfaction, organization, and culture.

The Necessity and Case Analysis of Bigdata Quality Control in Medical Institution (의료기관 빅데이터 품질관리의 필요성과 사례 분석)

  • Choi, Hye Rin;Lee, Seung Won;Kim, YoungAh;Lee, Jong Ho;Koh, Hong;Kim, Hyeon Chang
    • The Journal of Bigdata
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    • v.2 no.2
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    • pp.67-74
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    • 2017
  • The use of Bigdata plays an important role in all areas of society. Especially in the health care field, the role of Bigdata is very considerable because it deals with people's life and health. However, the interest and awareness of quality control of medical data is markedly low. Because the low-quality medical Bigdata leads to national loss and public health impairment, quality control of medical Bigdata is needed. The purpose of this research is to present the direction of medical Bigdata quality management by examining literature and cases of domestic and foreign medical Bigdata quality management practices. In addition, as a case of medical Bigdata quality control in the Y medical institution in Korea, activities of a Bigdata quality management TFT and results of a survey conducted for major data users in the hospital were presented.

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Development and Reliability Verification of Quality Control System for Compaction Grouting Method (컴팩션 그라우팅 공법의 품질관리 시스템 개발 및 신뢰성 검증)

  • Seo, Seok-Hyun;Lee, Jung-Sang;Jung, Eui-Youp;Park, Sang-Yeong;Lee, Hyo-Bum
    • Journal of the Korean Geosynthetics Society
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    • v.19 no.4
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    • pp.11-20
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    • 2020
  • This study introduced the compact grouting method that can be used for improving soft ground and restoring buildings with unequal subsidence. The pump used in the traditional compact grouting method is a system that injects one hole each, which reduces the construction efficiency, and the analog injection method manually manages the construction by field workers, making it difficult to manage consistent quality. Pump and quality control system were developed to solve problems in existing construction. Since field supervisor determines amount of injected materials by using analog equipment and controls manually, it is difficult to manage consistent quality of construction. Therefore, the quality control system was developed in order to solve that problem. The quality control system consists of automatic mixing system of injection materials, multiple simultaneous injection pumps, and injection management monitoring system. Performance of the quality control system was verified through on-site testing, and ground improvement performance was verified through quality testing after testing and testing of the compact grouting method. Therefore, it is expected that the integrated quality control system developed will improve the quality assurance and efficiency and stability of construction at sites where construction and quality verification are difficult.

The Process Reference Model for the Data Quality Management Process Assessment (데이터 품질관리 프로세스 평가를 위한 프로세스 참조모델)

  • Kim, Sunho;Lee, Changsoo
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.83-105
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    • 2013
  • There are two ways to assess data quality : measurement of data itself and assessment of data quality management process. Recently maturity assessment of data quality management process is used to ensure and certify the data quality level of an organization. Following this trend, the paper presents the process reference model which is needed to assess data quality management process maturity. First, the overview of assessment model for data quality management process maturity is presented. Second, the process reference model that can be used to assess process maturity is proposed. The structure of process reference model and its detail processes are developed based on the process derivation approach, basic principles of data quality management and the basic concept of process reference model in SPICE. Furthermore, characteristics of the proposed model are described compared with ISO 8000-150 processes.

A Study on Quality Control Method for Minutely Rainfall Data (분 단위 강우자료의 품질 개선방안에 관한 연구)

  • Kim, Min-Seok;Moon, Young-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.2
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    • pp.319-326
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    • 2015
  • Rainfall data is necessary component for water resources design and flood warning system. Most analysis are used long-term hourly data of surface synoptic stations from the Meteorological Administration, Ministry of land, Infrastructure and Transport and others. However, It will be used minutely data of more high density automatic weather stations than surface synoptic stations expecting to increase the frequency of heavy precipitation. But minutely data has a problem about quality of rainfall data by auto observation. This study analyzed about quality control method using automatic weather station's minutely rainfall data of meteorological administration. It was performed assessment of the quality control that was classified quality control of miss Data, outlier data and rainfall interpolation. This method will be utilized when hydrological analysis uses minute rainfall data.

Development of Individual Temporary Equipment Material/Quality/Delivery Management Standards(Guide) for Temporary Equipment Rental Company (가설기자재 임대업체를 위한 개별 가설기자재 자재/품질/납품관리 기준(Guide) 개발)

  • Lee, Junho;Kim, Junsang;Yoou, Geonhee;Cho, Sehyun;Kim, JungYeol;Kim, Youngsuk
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.1
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    • pp.62-72
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    • 2024
  • Due to the distribution structure of domestic temporary equipment, quality control of temporary equipment is essential because more than 80% of temporary equipment is repeated and reused. Due to this importance, the Ministry of Land, Infrastructure and Transport has proposed quality management standards for temporary equipment for 10types of temporary equipments, including steel pipe support, but the overall quality of temporary eqipment cannot be confirmed because the quality is managed through sampling quality tests. In addition, although quality control standards exist for temporary material rental company, practical utilization was investigated and analyzed to be very low as they are mainly presented based on qualitative inspection standards by visual inspection. Therefore, the purpose of this study is to develop individual temporary material/quality/delivery management standards (Guides) for temporary equipment rental company to preemptively secure the quality of temporary equipment before bringing them into the construction site. If the standards developed through this study are applied to domestic temporary equipment rental companies, it is expected that high-quality temporary equipment with secured quality will be brought into the construction site as the quality of temporary equipment quality of domestic medium and small temporary equipment rental companies is improved safety accidents related to temporary structures.

A Study on Concrete Curing Quality Management Based on Various Test of Construction Condition under Hot Weather Circumstance (서중(暑中) 환경에서 현장 콘크리트 시험을 통한 양생 품질관리 방안)

  • Park, Shin
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.2 s.30
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    • pp.71-80
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    • 2006
  • It is required to study systematical on the concrete quality management to extend structure life because rebuilding effect is reducing under present condition of large sized and high stories structure. Concrete, which shows its intensity by hydrating action and a big change in quality according to hot weather and temperature, produces a lot of quality problem under hot and cold weather. Because of each specification and construction plan which does not have basic standard on site, concrete's quality is irregular and makes some defect. As a result, Dae-gu is fumed out to be the longest area after investigating application period and days focused on 8 cities weather information about t relationship between hot weather circumstance and construction environment. Therefore, we first surveyed the curing construction processing in the region and found out the problem of quality management. Then figure out the way of solution. Moreover, we integrated curing quality management, which is applied differently to each site, to have equal quality and to reduce defect from construction site. And then, based on various test of construction condition and analysis of quality management item, we suggest effective concrete quality management to make curing construction standard guide and plan under hot weather.

An Organizational Maturity Assessment Model for Public Data Quality Management (공공데이터 품질관리를 위한 조직 성숙도 평가 모델)

  • Kim, Sunho;Lee, Changsoo;Chung, Seungho;Kim, Hakcheol;Lee, Changsoo
    • Informatization Policy
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    • v.22 no.1
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    • pp.28-46
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    • 2015
  • Although the demand for the use of public data increases in accordance with the expansion of Government 3.0, the poor level of data quality and its management currently implemented is becoming obstacles to opening data to the public. To improve the efficiency of management, linkage and usage for data, standardized processes for data quality management have to be prepared and appropriate data quality assessment criteria should be established. In this paper, we propose the organizational maturity model that can assess the public data quality management level. This model consists of the process reference model and the measurement framework. Fifteen processes grouped by the PDCA cycle are defined in the process reference model. The measurement framework measures the organizational maturity level based on process capability levels. The organizational maturity model can be used to establish objectives and directions for public data quality improvement by diagnosis of current level of public data quality management and problem solving. This model can also facilitate open to the private sector and activate usage of stable public data through reliability enhancement.