• Title/Summary/Keyword: Defect management system

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Product Liability Prevention by ISO9001:2000 Quality Management System (제조물책임(PL) 대응방안으로의 ISO9001:2000 품질경영시스템)

  • 최성운;이락구
    • Journal of the Korea Safety Management & Science
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    • v.2 no.2
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    • pp.57-69
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    • 2000
  • Beginning from July. 2000, the product liability of Korea is designed for reduction of customer loss by defective products. Therefore, most of company are supposed to be ready for taking care of safety and quality of products. ISO9001:2000 quality management system reform to emphasize continual improvement of the process with customer satisfaction. First of all, this paper start with introduction motive of the product liability and examine distinctive mark of the ISO9001:2000 quality management system. We consider the correlation between ISO9001:2000 quality management system and product liability and would like to propose product liability prevention by ISO9001:2000 quality management system with classification a defect style of product, the management guide and the law case.

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Investigating the Impact of Project Management on Construction Defects in Housing Projects: With a Focus on Project Manager Experience (프로젝트 관리가 공동주택 건설의 하자 발생에 미치는 영향: 프로젝트 매니저 경험의 조절효과를 중심으로)

  • Young-Jun Lee;Seung-Chul Kim;Minjeong Oh;Sungyong Choi
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.209-220
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    • 2023
  • Recently, defects that occurred during the construction of apartment houses have become a social issue. Defects in apartment houses lead to waste of resources and economic loss, causing psychological and physical damage to customers, and a decrease in reliability and financial loss to construction companies. The purpose of this study was to analyze the impact of defect occurrence according to the difference in project management level in the apartment housing construction stage, and to investigate the extent to which the project manager's experience affects the defect occurrence rate. For the empirical analysis of the study, statistical analysis was conducted using data collected from 130 actual projects. The results of the analysis showed that schedule management, cost management, and quality management had a positive effect on reducing the defect occurrence rate in the execution stage of apartment housing construction, while human resource management productivity had a negative effect. This study theoretically demonstrated the importance of project management, and in practice, showed that schedule management, cost management, and quality management should be faithfully performed in the execution stage to reduce the rate of defects after project completion. It was also suggested that hiring an experienced project manager would help reduce project defects.

Effectiveness Analysis and Profile Design Automation Tool Implementation for The Mass Production Weapon System Environmental Stress Screening Test (양산 무기체계 환경 부하 선별 시험 효과도 분석 및 프로파일 설계 자동화 도구 구현)

  • Kim, Jang-Eun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.379-388
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    • 2016
  • There are various system defects from weapons manufacturing due to the numerous production processes and various production environments. The first kind of defect is patent defects, which can be detected by visual inspection, functional testing, and existing quality control procedures during the manufacturing process. The second kind is latent defects, which cannot be detected though existing quality management approaches because of the complexity of the system and manufacturing process. To minimize the initial defect problems, environmental stress screening (ESS) is needed to detect the defects, remove them, and improve the product conditions based on the environmental stress conditions of temperature and vibration. We implemented a tool for quantitative ESS effectiveness analysis and profile design automation based on MIL-HDBK-344 and verified it using six scenarios with different temperature stress, vibration stress, and test designs.

A Case Study on PL Management in Small and Medium-Sized Firms of Gangwon-Do Province (강원도 중소기업의 제조물책임법 대책에 대한 연구)

  • Park, Roh-Gook;Lee, Sung-Ho
    • Journal of the Korea Safety Management & Science
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    • v.10 no.3
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    • pp.99-107
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    • 2008
  • Product liability(PL) is the producer's compensation to customers for damage incurred by product defects. This paper studies on the organizational culture, promotion process, system construction, system level, product safety review, product safety assurance, system operation, and its effectiveness and necessity of recognition for the PL system of small and medium-sized firms in Gangwon-Do province. The results show that the firms have product safety regulations, but the number of firms which its employees understand the regulations is less than the number of firms which do not understand. Also the number of firms which is preparing PL prevention and insurance, and counterplan for accidents seems to be not in large numbers.

Analysis of Equipment Factor for Smart Manufacturing System (스마트제조시스템의 설비인자 분석)

  • Ahn, Jae Joon;Sim, Hyun Sik
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.4
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    • pp.168-173
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    • 2022
  • As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

A Study on the effects of the Job-stress influenced to the construction defects (건설업 근로자의 직무스트레스가 건설공사의 하자에 미치는 영향)

  • Sim, Min-Young;Park, Hai-Chun;Lee, Kyoung-Hun;Cho, Sang-Hun
    • Proceedings of the Safety Management and Science Conference
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    • 2009.11a
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    • pp.483-493
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    • 2009
  • The global economic recession caused a great change of the labor environment such as restructurings and unstable employment. This facts brought about an increase in sense of rivalry, over workload, job uncertainty and lowering of self-confidence. Due to the fact that the work process and employing system in construction field is little differ from normal industries, especially, labors working in construction field are much exposed to the job stress. On this study, we survey construction-field labors and made an analysis of the gathered data through the statistic method to reveal what kind of job-stress factors influence on the defects of construction works. As the result, we investigated the truth of the induction factors which cause the job-stress in costruction field and proposed an alternative plan for an effective job-stress management which make the defect rate low.

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An AHP Approach to Evaluate the priorities of Manufacturing Performance Criteria in Korean Automobile Parts Manufacturing Company (AHP에 의한 한국자동차부품제조사의 제조성과기준의 중요도 평가)

  • Kim, Tae-Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.3
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    • pp.115-122
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    • 2011
  • The critical role played by manufacturing performance measurement systems in achieving competitive success is increasingly recognized. Developing an integrated performance measurement model is significant for strategic management. This study consist of several principal steps. Performance criteria from the literature and an questionnaire were utilized prior to building the performance model. The AHP(Analytic Hierarchy Process) is utilized to evaluate the weight of each criterion when generating the performance measurement model for Korea automobile parts manufacturing company. AHP analysis showed clear difference in the priority between 5 criteria and 24 sub-criteria in terms of manufacturing performance of Korean automobile parts manufacturing company. The result of priority evaluation in the 5 criteria of 2nd level was ranked quality, cost, delivery, employee, flexibility. And the critical sub-criteria in the 24 sub-criteria of 3rd level was ranked claim rate, process defect rate, outsourcing parts defect rate, ability to quality management innovation, claim cost, etc.

Weld Quality Monitoring System Development Applying A design Optimization Approach Collaborating QFD and Risk Management Methods (품질 기능 전개법과 위험 부담 관리법을 조합한 설계 최적화 기법의 용접 품질 감시 시스템 개발 응용)

  • Son, Joong-Soo;Park, Young-Won
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.207-216
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    • 2000
  • This paper introduces an effective system design method to develop a customer oriented product using a design optimization process and to select a set of critical design paramenters,. The process results in the development of a successful product satisfying customer needs and reducing development risk. The proposed scheme adopted a five step QFD(Quality Function Deployment) in order to extract design parameters from customer needs and evaluated their priority using risk factors for extracted design parameters. In this process we determine critical design parameters and allocate them to subsystem designers. Subsequently design engineers develop and test the product based on these parameters. These design parameters capture the characteristics of customer needs in terms of performance cost and schedule in the process of QFD, The subsequent risk management task ensures the minimum risk approach in the presence of design parameter uncertainty. An application of this approach was demonstrated in the development of weld quality monitoring system. Dominant design parameters affect linearity characteristics of weld defect feature vectors. Therefore it simplifies the algorithm for adopting pattern classification of feature vectors and improves the accuracy of recognition rate of weld defect and the real time response of the defect detection in the performance. Additionally the development cost decreases by using DSP board for low speed because of reducing CPU's load adopting algorithm in classifying weld defects. It also reduces the cost by using the single sensor to measure weld defects. Furthermore the synergy effect derived from the critical design parameters improves the detection rate of weld defects by 15% when compared with the implementation using the non-critical design parameters. It also result in 30% saving in development cost./ The overall results are close to 95% customer level showing the effectiveness of the proposed development approach.

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Deep Learning-based Pothole Detection System (딥러닝을 이용한 포트홀 검출 시스템)

  • Hwang, Sung-jin;Hong, Seok-woo;Yoon, Jong-seo;Park, Heemin;Kim, Hyun-chul
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.88-93
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    • 2021
  • The automotive industry is developing day by day. Among them, it is very important to prevent accidents while driving. However, despite the importance of developing automobile industry technology, accidents due to road defects increase every year, especially in the rainy season. To this end, we proposed a road defect detection system for road management by converging deep learning and raspberry pi, which show various possibilities. In this paper, we developed a system that visually displays through a map after analyzing the images captured by the Raspberry Pi and the route GPS. The deep learning model trained for this system achieved 96% accuracy. Through this system, it is expected to manage road defects efficiently at a low cost.

Implementation of Effective Personal Information Management System For Shopping Mall member management (쇼핑몰 회원 관리를 위한 효율적인 개인정보관리 시스템의 구현)

  • Lee, Kwang-Hyung
    • The Journal of Korean Association of Computer Education
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    • v.5 no.3
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    • pp.11-18
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    • 2002
  • It is important to maintain the integrity of the personal information stored duplicately in DBs on the internet sites and to reduce the inconvenience of the user's. So it is useful to develop the integrated-DB supporting the independence of the S/W. In this paper, we investigate the defect of the membership management system on the internet site. Based on the result, we model the personal information management system to manage the membership efficiently, and implement the integrated personal information management system, called IPIMS.

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