• Title/Summary/Keyword: QIS(Quality Information System)

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Computerization of Quality Information System Using Personal Computers (PC를 이용한 품질정보시스템의 전산화)

  • Park, Chul-Joo;Oh, Yon Woo
    • Journal of Korean Society for Quality Management
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    • v.24 no.2
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    • pp.113-127
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    • 1996
  • A various quality data are produced during nuclear fuel fabrication. In order to control quality data efficiently, Computerization of Quality Information System(QIS) using personal computer was established. Database control software and analysis software were developed for QIS. QIS was applied the fuel manufacturing and quality inspection. Quality trend analysis, process control, process capability and quality history docket for nuclear fuel manufacturing were performed by QIS. Through the Quality Information System, quality assurance, quality control, process control and manufacturing engineering were performed efficiently in nuclear fuel manufacturing.

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A Framework for Quality Management Support Information Systems (품질경영지원 정보시스템 구축을 위한 틀)

  • Suh, Yung-Ho;Kang, Hyeon-Seok
    • Journal of Korean Society for Quality Management
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    • v.28 no.2
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    • pp.89-102
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    • 2000
  • Many organizations have developed their own traditional quality information systems. But, they think of it as one of the functional information systems not as a company-wide decision support information systems. A study on traditional quality information systems(QIS) has been conducted and a new conceptual framework of quality information system is proposed in this paper. In order to support enterprise wide total quality management aggressively, a new conceptual framework, named quality management support information system(QMSIS) is developed and proposed. This framework is based upon Malcolm Baldrige National Quality Award(MBNQA) model integrates management information system approach and traditional quality information system concept. In this model, organizational performance and process performance can be monitored to support managers , decision making about organizational quality management activities.

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A Study on the development of quality information systemfor the improvement of product reliability of the auto part supplier (자동차 부품업체의 제품 신뢰성 향상을 위한 품질정보시스템 구축에 관한 연구)

  • Lee, Hee-Nahm;Park, Je-Won
    • Journal of the Korea Safety Management & Science
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    • v.12 no.3
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    • pp.231-235
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    • 2010
  • Recently, according to the total quality management environment, the necessity of the systematic administration about the quality information is gradually enlarged as to vehicle related company. Accordingly, related companies require the operation of the information management system matched with the quality administration task level. And through the storage and share of the efficient quality information, they try to solve the customer claim about the quality and prevent the quality problem recurrence of product. This research suggests the standard business process of the auto part supplier for the efficient management of the quality information and the quick correspondence of the quality problem. In addition, by building and managing the quality information management system will be able to expect the more efficient quality management and the product reliability insurance.

Innovation Strategy For New Product Development Process by Indicative Planning & QM Tools (유도계획과 QM 도구들을 활용한 신제품 개발과정의 혁신 전략)

  • Ryu, Ji-Hyun;Jung, Tae Wook;Song, In-Cheol;Oh, Hyun-Seung;Lee, Sae-Jae;Cho, Jin-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.78-86
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    • 2017
  • The new businesses started by the companies usually results in being unsuccessful. The main reasons for that are either aiming targeting wrong customers, unsatisfaction of customers' requesting quality standards, or taking wrong actions against the competitors in the market. Therefore, companies should aim the targets for the newly developing products based on the fulfilling values for the customers when they start the new businesses, and should take good cares for risk managements at the each step of the new business to prevent the failure in advance. In addition to that, the companies starting new businesses not only need to take the customers attributes (CA) into account, but they also should apply the new technologies as one system to initiate a new business to satisfy the basic wants of the customers. This article suggests the New Product Development Pursuing Model using the Indicative Planning methodology and the Quality Management tools. The New Product Development Pursuing Model would be completed by the following steps as below; 1. Drawing the CTQ (Critical To Quality) for setting up the new product development objectives by : i) using the VOC (Voice Of Customers) obtained by the QFD (Quality Function Deploypment) if the market is mature, ii) applying AHP (Analytic Hierarchy Process) to information in the QIS (Quality Information System) if the market is unmature to get enough need information of the customers. 2. Risk Management in NPD : The NPD pursuing model consisted of the IP (indicative planning) is suggested not by the process of top-down-way mandatory planning process, but by the tools used in the administrative science and economic fields, namely by governance. The companies could apply innovative methodology for new products development processes to fulfil the customers satisfaction in the fields, through the CA (Contingency Approach) of the NPD (New Product Development) process.

Analysis of Quality Measurement & Evaluation Index in applying Web Information Service I (Web 정보서비스 평가를 위한 기존 측정지표 분석 I)

  • Yoo, Sa-Rah
    • Journal of the Korean Society for Library and Information Science
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    • v.34 no.3
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    • pp.133-156
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    • 2000
  • A fundamental issue to consider when searching Web information is the quality of information itself and of service. If a Quality Information System (QIS) of Digital Library is sought, new measurement criteria and evaluation index for Web information service are required. Reliance on the existing evaluation criteria is not acceptable if data retrieved are not information and the service is only noise to end-user. Applying existing evaluation criteria of online database to Environmental & Energy Engineering Web DB revealed the limitations and provided a practical and case-based information for improvement. No attempt was made to survey comprehensively all of the evaluation methods that could possibly be relevant. Instead, this discussion concentrates on the information service evaluation index being developed in the KDPC Project. The research found that domestic Web-DB service are still woefully insufficient to conduct comprehensive investigations on environmental topics. More qualified and specialized R&D Web information service and the development of new evaluation criteria based on this investigation(research I.) will be discussed in follow-up research II.

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