• 대한산업공학회지
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• 제43권2호
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• pp.112-119
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• 2017

Korea's national R&D projects are increasing year by year. However, it is necessary to improve the quality of R&D result. In this paper, we introduce the developing and adjusting the R&D standard process based on process approach in ETRI. It is expected that the definition of R&D standard process will contribute to improve customer satisfaction and quality of R&D result through standardization and continuous improvement activities.

• International Journal of Automotive Technology
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• 제4권4호
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• pp.193-201
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• 2003

The problem of brake judder is typically caused by defects of quality manufacturing. DFSS (Design for six sigma) is a design process for quality improvement. DFSS will result in more improved but less expensive quality products. This paper presents an implementation of DFSS for quality improvement of the brake judder of heavy-duty trucks. Carrying out 5 steps of DFSS, the major reasons for defects of quality are found. The numerical approximation of the brake system is derived by means of the response surface method. Its quality for brake judder is improved by using the sigma based robust design methodology. Results are compared between the conventional deterministic optimal design and the proposed sigma based robust design. The proposed one shows that manufacturing cost may increase as the quality level increase. The proposed one, however, is more economical in aspect of the overall cost since the probability of failure dramatically goes down.

• 한국의료질향상학회지
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• 제14권1호
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• pp.61-68
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• 2008

• International Journal of Quality Innovation
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• 제2권2호
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• pp.127-135
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• 2001

Personnel engaged in the medical field have implemented continual improvement by team activities in an effort to construct a system that reduces the risks involved in medical care. Knowledge in total quality management (TQM), especially statistical quality control (SQC) developed for industry, seems to be applicable to medical care. This paper describes the application of SQC to continual improvement in medical care.

• 한국항공우주학회지
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• 제41권5호
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• pp.415-421
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• 2013

본 논문에서는 한국형 기동헬기 사업을 통해 국산화 된 블레이드 생산 공정 중의 일부 문제점에 대해 검토하고, 개선에 대한 연구를 수행하였다. 개발과 달리 양산은 많은 항공기를 장기간에 걸쳐 군에 납품하기 때문에 신뢰성 있는 공정이 구축되어야 한다. 생산 공정 개선을 위해 로봇과 히트몰드를 개발하여 적층, 경화 공정에 적용하였고, 신규 장비의 성능을 평가하였다. 추가적으로 신규 공정을 통하여 생산된 블레이드를 개발에서 실시한 시험을 수행하여 품질 및 성능을 평가하여 개선된 공정이 양산에 적합함을 입증하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.71-72
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• 2011

The construction industry in Korea has seen significant improvements in quality management techniques, driven by the dramatic development of new technology through enlargements, but compared with technical development, the level of building quality improvement is still lagging behind. Therefore, in this study, a work process and system improvement plan for payment regulations is proposed, with which contractors can secure quality voluntarily in the building construction project.

• 한국산학기술학회논문지
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• 제21권9호
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• pp.218-228
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• 2020

소재 산업은 공정 기술을 활용하여 최종 제품에 적용되는 부품을 생산하며 완성품의 품질을 결정하는 중요한 기반 산업이다. 그러나 최근 시장 환경이 악화되고 3D 업종으로 인식되어 다른 소재 산업 국가에 비해 경쟁력을 잃어가고 있는 실정이다. 본 연구는 단조 기업의 특성을 분석하고 품질 비용 범위를 설정하여 해당 산업에 특화된 품질 비용 관리 체계 및 지속적 품질 개선 방안에 대한 프로세스를 개발한다. 본 연구를 통해서 단조 산업의 세 가지 특성인 설비 의존, 수주 위주, 현장 중심을 발견하고 내부 실패 비용과 외부 실패 비용을 품질 비용 범위로 설정하였다. 대형 단조업체인 A기업에 대해서 개발된 품질 비용 관리 체계와 지속적 품질 개선 프로세스를 적용하여 총 8개의 품질 과제를 발굴하였으며, 개선 활동 결과 전년 대비 약 63.3%의 품질비용 저감을 확인하여 그 실효성을 증명하였다. 본 연구는 단조 기업들이 체계적으로 품질 비용을 관리하고 분석하여 품질 경영전략 방향성을 수립할 수 있도록 도움을 줄 것으로 판단된다.

• 한국산학기술학회논문지
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• 제8권3호
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• pp.673-681
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• 2007

최근 새롭게 6시그마를 도입한 기업과 이미 장기간 품질분임조 활동을 진행해 왔던 제조업체를 중심으로 기존의 분임조 활동을 어떻게 6시그마와 연계시킬 것인지에 대한 논의가 활발한 상황이다. 본 연구는 품질분임조 활동과 6시그마를 결합한 절차를 실제 생산 공정 문제에 적용하고 그 효과를 입증하는 것을 목적으로 한다. 즉, 품질개선 활동의 단계적 절차를 수행함에 있어, 문제정의(Define), 측정(Measure), 분석(Analyze) 등의 초기 단계에서는 6시그마의 절차를, 개선(Improve)과 관리(Control)에 해당하는 후반부에서는 PDCA사이클을 중심으로 한 품질분임조 기법을 활용하였다. 특히 개선대상 과제(테마)를 선정함에 있어 계층의사결정(AHP)을 활용함으로써 보다 합리적인 의사결정을 추구하였으며, 실험계획법을 통해 공정 개선을 위한 최적의 대안을 선정하기도 하였다. 제안된 절차의 적용결과 불량률이 현저히 감소하고 상당한 비용절감의 효과가 있음을 확인할 수 있었다.

• 품질경영학회지
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• 제51권1호
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• pp.55-65
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• 2023

Purpose: The purpose of this study is to propose an optimization process to improve product yield in the process using process data. Recently, research for low-cost and high-efficiency production in the manufacturing process using machine learning or deep learning has continued. Therefore, this study derives major variables that affect product defects in the manufacturing process using eXplainable Artificial Intelligence(XAI) method. After that, the optimal range of the variables is presented to propose a methodology for improving product yield. Methods: This study is conducted using the injection molding machine AI dataset released on the Korea AI Manufacturing Platform(KAMP) organized by KAIST. Using the XAI-based SHAP method, major variables affecting product defects are extracted from each process data. XGBoost and LightGBM were used as learning algorithms, 5-6 variables are extracted as the main process variables for the injection process. Subsequently, the optimal control range of each process variable is presented using the ICE method. Finally, the product yield improvement methodology of this study is proposed through a validation process using Test Data. Results: The results of this study are as follows. In the injection process data, it was confirmed that XGBoost had an improvement defect rate of 0.21% and LightGBM had an improvement defect rate of 0.29%, which were improved by 0.79%p and 0.71%p, respectively, compared to the existing defect rate of 1.00%. Conclusion: This study is a case study. A research methodology was proposed in the injection process, and it was confirmed that the product yield was improved through verification.

• 한국농공학회논문집
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• 제59권3호
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• pp.51-62
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• 2017

Since living environment has improved, waterfront space using and clear water demand have increased. Ministry of Environment (ME) designated polluted reservoir (worse than 4th grade) as a priority management reservoir to improve water quality (better than 3rd grade) accordingly. Minstry of Agriculture, Food and Rural Affairs (MAFRA) aims reservoir water quality 4th not 3rd grade. And water quality of agricultural reservoirs was not a great interest. For this reason, there are very few water quality monitoring data. However after designating as a priority management reservoir, reservoir manager should start water quality and flow monitoring of reservoirs and inflow streams. This process makes it possible setting complex model to accurate prediction of reservoir water quality and volume. Mulwang reservoir designated as a priority management reservoir in September 2014. In this study, BASINS/WinHSPF and EFDC-WASP were used to predict effect of water quality improvement countermeasures in Mulwang reservoir. To improve water quality of Mulwang reservoir, Siheung-si and Korea Rural Community Corporation (KRCC) established water quality improvement countermeasures. However result of simulation adapting these countermeasures cannot achieve 3rd grade. So 4 additional scenarios were adapted and the result satisfied 3rd grade. This study could help to establish water quality improvement countermeasure by using complex modeling.