• Title/Summary/Keyword: 품질 관리

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Satisfaction Level of Construction Quality Management by Survey of The Field Staffs (현장 실무자 대상 조사에 의한 건설공사 품질관리 관련 만족도에 관한 고찰)

  • Park, Hyeong-Geun
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.2
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    • pp.34-45
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    • 2009
  • In domestic, the Quality Management system of construction work has been compounded of the association of regulation which is ground for relevant law and operation of Quality Management system by ISO/KS A 9001(QMS) established by the contractor. Two quality guaranteed systems must be operated with complementary and integrated system, but we can not make full use of QMS of contractor and only run routinized quality management system in all construction project by the standard, methods, process provided in the law. These problems were demanded better condition in the past ten years, since the ISO standards have been introduced. Establishing preventive consideration of quality management by setting a goal of drastic quality guarantee is an urgent problem of construction industry. This study is quick to fellow, which should do three things. 1. The attitude survey related quality management of staff in charge in construction site has run. 2. Base on these results, we adjust satisfaction measurement about operation of construction quality management system. 3. Subsequently, we want to offer our thesis about advanced opinion for the next.

A Study on the Quality Assurance of Zipper Manufacturing Firms in Korea (한국 지퍼 제조업체의 품질보증 연구)

  • 장대성;이강언;신충섭
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.3
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    • pp.152-161
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    • 2001
  • Zipper manufacturing belongs to the small and medium industry. And it requires very accurate process and perfect quality control. In addition it is necessary to assure customers zipper qualify to explore new market. TQC as well as integration of existing quality control techniques for accurate and perfect processing should be implemented to assure product quality. To implement TQC zipper firms should invest in education programs for employees. Y zipper firm has succeeded in implementing the education program for TQC and Quality Circle and achieved the perfect quality control and quality assurance of products.

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Study of Automated Quality Check of Hydrological Water Level Data (수위자료 이상치 자동점검 기법 개선에 대한 연구)

  • Park, Heeseong;Kim, Hyung Seop
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.192-192
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    • 2019
  • 수위자료는 기초수문자료의 하나로서 자료 수집시 이에 대한 품질관리가 반드시 필요하다. 이에 우리나라 환경부에서는 국가수문자료 품질관리시스템을 개발하여 실시간으로 수집되는 수위자료의 품질을 관리하고 있다. 국가수문자료 품질관리시스템은 실시간으로 수집되는 수위자료의 품질을 수작업으로 검토하기 이전에 편의를 위해 수문자료의 품질(오류가 있는 자료인지 아닌지)을 자동으로 구분하는 프로세스를 적용하고 있다. 이러한 자동점검 기법은 실무자에 의한 수문자료의 검토 및 보완 작업을 돕기 위한 것으로 실무자가 집중해서 관리해야할 것과 아닌 것을 쉽게 판단할 수 있도록 하는 보조적인 역할을 하고 있으며, 간단한 통계에 의한 기준을 적용하여 활용하고 있는 수준이다. 본 연구에서는 수위자료 이상치를 자동으로 점검할 수 있는 기법을 개선하기 위하여 10분단위로 관측된 수위자료에 대해 다양한 통계적인 기법을 적용하여 이상치를 찾을 수 있는 방법을 고안하고, 기존의 방법과 결과 등을 비교하여 보았다. 이를 통해 향후 국가수문자료의 품질관리업무 효율을 향상시킬 수 있는 정교한 이상치 자동점검기법을 개발 할 수 있을 것으로 기대한다.

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A Study on the Influence Factors in Data Quality of Public Organizations (공공기관의 데이터 품질에 영향을 미치는 요인에 관한 연구)

  • Jung, Seung Ho;Jeong, Duke Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.4
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    • pp.251-266
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    • 2013
  • By the progress of informatization, the data which is involved in the administration and public organizations are increased the requestion of the utilization. Nevertheless most of the agencies could not actively participate in sharing and opening the data to the public because of data quality problems. The purpose of this study is to verify the relationship for data quality, managerial and organizational factors which is to derive at the level of the organization's data quality management success factors suggested in previous studies, and the acceptance of the organization's quality management. The result identify that organizational factors, organization's data quality management encouragement and support, give effect data quality through the acceptance of data quality management. However, managerial factors was no effect the data quality management acceptance. This study than managerial approach when considering the quality control for the public organizations, in the early days of the current situation of a company-wide consensus was required, as well as directly to the level of quality factors affecting the quality of acceptance is presented to derive but has significance.

A Quality Control Model for Shared University in Service Era (서비스시대 공유대학 품질관리모델 연구)

  • Kim, Hyunsoo
    • Journal of Service Research and Studies
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    • v.8 no.4
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    • pp.1-12
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    • 2018
  • This study suggests a way to implement shared economic model of educational service in service era. As most shared economic models are innovating high-cost, low-quality structures in existing economies, there is a need for innovation models that improve high-cost low-quality structures to high-quality, low-cost structures in education services. Especially, since higher education and lifelong education are in urgent need of innovation, this study studied shared university model focused on higher education and lifelong education. In order to provide educational services at low cost and high quality, it is necessary to use idle resources, so it is necessary to introduce a shared economic model. Shared universities require a more efficient and effective supplier quality control, as the existing limited supplier group become widespread. Normative quality control is also needed to cultivate students as competent talent. In addition, in order to provide high-quality higher education services at a low cost, it is necessary to base the process quality management using advanced science and technology. Therefore, educational service quality management is a process of quality control that is well-balanced in terms of suppliers, customers, and processes.

Data Structure Quality Management for efficient CRM (효율적인 CRM을 위한 데이터구조 품질관리 방안)

  • Lee, Sun-Hee
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10c
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    • pp.1-5
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    • 2007
  • 고객 데이터 중심의 통합을 근간으로 하는 CRM을 추진하면서 데이터 품질은 필수적인 선결과제로 인식되고 있어, 데이터 품질 개선을 위해 데이터, 데이터구조, 데이터관리프로세스를 대상으로 활발한 연구가 진행되고 있다. 본 논문에서는 데이터 품질 개선을 위해 표준화를 통한 데이터구조에 대한 품질관리 모델을 제안하고, 제시한 모델을 적용하여 기존 시스템의 관리 항목을 현저히 감소시켜 데이터구조의 품질을 개선하고 데이터구조 표준화 관리 시스템을 통하여 지속적인 개선이 가능하도록 하였다.

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A Study on Productivity Analysis of Quality Management System in Construction Site (건설현장 품질관리 자동화 시스템의 생산성 분석에 관한 연구)

  • Choi, Yeongjun;Oh, Hyunchul;Baek, Kihyun;Kim, Seok
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.3
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    • pp.17-26
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    • 2024
  • Quality management work at construction sites demands substantial time and effort, involving the preparation of documents in Excel, approval processes, and the execution of quality tests. These Excel-based tasks include printing quality test reports, performing quality tests, generating and approving test reports, and preparing management ledgers. This division of processes extends the duration of work and diminishes efficiency. Accordingly, a cloud-based construction site quality management system was developed to enhance the productivity of quality management work. The purpose of this study is to analyze the productivity of the construction site quality management system, which is in the early stages of implementation at construction sites. This study implemented the construction site quality management system at a road construction site and scrutinized subsequent alterations in the quality management workflow before and after the implementation. Additionally, a survey was conducted among quality control engineers to collect data on work time both before and after the introduction of the construction site quality management system. Based on the collected data, the Monte-Carlo simulation method was applied to analyze the productivity improvement effect of the construction site quality management system, and the results were presented. The results of this study can serve as foundational data for future research endeavors focused on the automation of quality management works.

공공데이터 품질환경 내 데이터 오류의 발생원인별 보안기술 대응방안에 관한 연구

  • LEE, Won Jae;Kim, Huy Kang
    • Review of KIISC
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    • v.30 no.4
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    • pp.77-89
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    • 2020
  • 이 연구는 우리나라 정부의 공공데이터 공개 제도에 따른 공공데이터 품질관리체계를 이해하고, 공공기관이 신뢰성 있는 데이터를 위해 품질 점검을 시행하면서도 효과적인 관리를 하기 위한 방안에 관한 것이다. 공공데이터법과 공공데이터 품질관리체계를 이해하고, 저품질 공공데이터의 오류와 발생원인에 대해 알아본다. 오류 데이터 분석을 통한 보안위협에 따른 위험 분류를 통해 효과적인 대응방안을 도출하는 것을 목표로 한다. 이를 위해 공공데이터를 데이터 품질 점검하여 도메인별 오류데이터를 살펴보고, 오류데이터 발생원인에 대한 분석을 통해 보안위협과 공공데이터를 사용하는 사용자 측면과 기관 측면의 보안 문제를 분류하였다. 분류된 오류 발생원인별 보안문제를 기준으로 데이터 품질관리를 통한 개선방향을 제시하고, 품질관리 오류 개선방향별 데이터보안 정책별 보안기술을 비교 정리하여, 데이터 보안기술을 통한 품질관리 오류 개선 연계 대응방안을 제안하였다.

Design of Appliance for Data Quality Management (데이터품질관리를 위한 어플라이언스 설계)

  • Yang, Seungyeon;Park, Seok-Cheon;Moon, Seung Shig;Lee, Jinhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.890-893
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    • 2013
  • 데이터품질관리에 대한 인식과 수요가 증가하고 있다. 그러나 데이터품질관리를 수행하기 위해서는 고려해야 할 사항들이 많아짐에 따라 보다 효과적이고 경제적인 데이터품질관리를 위해 새로운 방안이 모색되고 있다. 데이터품질관리 어플라이언스의 구성은 데이터베이스, 서버, 스토리지, 솔루션으로 이루어져있다. 시스템 구성의 용이성뿐만 아니라 추후 사용자의 관리와 유지보수 체계도 단일화 되어 현재의 시스템보다 사용자의 만족도가 상승할 것으로 판단된다. 본 연구에서는 효율적인 데이터품질관리를 위한 데이터품질관리 어플라이언스의 구성과 체계에 대해 분석하였다.

TMMi Level 5 Quality Control Process Implementation Strategy (TMMi 레벨 5 품질 관리 프로세스 구축 방안)

  • Choi, Seunghee;Kim, Harksoo;Lee, Gooyeon
    • Journal of KIISE:Software and Applications
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    • v.41 no.8
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    • pp.533-544
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    • 2014
  • The hardware-based software has been loaded in almost all industrial fields including the embedded system field. As it is increasingly important to control product quality, the more businesses are expending great quality cost. However, most domestic corporations in Korea are bent on spending more money solving problems caused by poor quality rather than prevention of quality loss cost. Therefore, it's time to improve to use quality prevention cost efficiently. As for this, there has been a growing interest in controlling quantitative quality, but the managing activities for quantitative quality require a high maturity process, belonging to Level 4 and 5. So it is necessary that statistical quality control activities should be fulfilled. This study introduces various measures to build up quality control among the process areas of TMMi Level 5 to help establish the high maturity test processes of statistical quality control.