• 산업경영시스템학회지
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• 제14권24호
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• pp.23-30
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• 1991

This study aimed at the improvement of the conventional methods of VE Function Analysis, the most important phase of VE process, through Quality Function Development. The use of Function Requirement Coefficients in Quality Function Development makes the Function Development more objective, and it was found that VE techniques, when used in combination with QC techniques. Improve the value of product considerably.

• 품질경영학회지
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• 제27권1호
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• pp.223-231
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• 1999

The concept of six sigma was introduced at and popularized by Motorola in its quest to reduce defects of manufactured electronics products. When used as a metric, six sigma technically means having no more than 3.4 defects per million opportunities in any process, product, or service. More important than the technical definition is the concept of six sigma as a disciplined, quantitative approach for improvement of defined metrics in manufacturing, service, or financial processes. This approach derives the overall process of selecting the right projects based on their potential to improve performance metrics and selecting and training the right people to get the business results.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.279-281
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• 2006

Recently, the DFSS has been globally used for strengthening the Product Leadership. The importance of Define stage for selecting the theme to maximize the result of such improvement activity Is strongly raised, but the enterprises do face the difficulty to apply In this thesis, the errors on working process of Define stage will be fully examined and also will grope the ways and the process to improve the errors.

• 한국융합학회논문지
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• 제8권7호
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• pp.191-198
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• 2017

본 연구는 영상기술과 공공문화콘텐츠의 새로운 접목형 융합상품으로서의 가능성을 제시하였다. 소변기에 영상장치를 장착한 본 제품은 기존에 없던 감성형 위생도기 제품으로서 화장실에 대한 인식의 제고를 가져왔을 뿐 아니라 하이테크한 전자제품과 위생도기의 제품을 접목시키는 새로운 시도이다. 또한 유니크한 아이디어로써 광고효과로써 공공정보 알림등 소변기의 새로운 시장성을 제시하는 제품개발 아이템이다. 상품화를 위하여 본 과제에서 제작할 디자인이 반영되도록 3D Rendering, 3D Mock-up 등을 활용해 별도의 제작공정을 들여 프로토타입 형태로 제작하고, 이 후 생산자의 협의 등을 통해 다양한 상품으로 확장 고려될 수 있을 것으로 판단된다. 차별화된 동영상 콘텐츠를 제공함으로써 경쟁력 있는 품질과 가격으로 소규모 업체의 프랜차이즈를 타겟으로 한 새로운 이미지 메이킹을 시도함에 따라 다양한 마케팅이 가능한 트렌드를 리드할 수 있도록 하였다.

• 산업경영시스템학회지
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• 제30권3호
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• pp.127-134
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• 2007

Predicting fatigue life of rubber components is an important issue in design procedure for industrial trucks to assure the durability and reliability. Main considerations in designing rubber components against fatigue failure are the compounding technology, shape design, and manufacturing process. Among them the rubber compounding technology is one of the most critical factor to determine more than 50% of component's quality. This paper presents how to improve the durability and reliability of industrial rubber mount during its design, development and prototype testing. The data presented illustrates explicitly the prediction of reliability growth in the product development cycle. The application of these techniques is a part of the product assurance function that plays an important role in rubber components reliability improvement.

• 산업경영시스템학회지
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• 제30권4호
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• pp.85-95
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• 2007

Single PPM Quality Innovation activity made a great contribution to strengthening the quality competitiveness and the international competitiveness for the domestic small and medium enterprises. But it doesn't work to companies that deal with the particular products for the difficulties during the promotion and the business management. Then, SQ-Mark, which is currently adopted to domestic automobile companies, was benchmarked and studied for its accessibility and solutions. Quality Innovation activity in the particular industry is requested to conduct the confirmation and the inspection in deeper level caused by the specialty of product itself, product engineering manufacturing processes. This study improved 6 steps of the Single PPM activity so that the Single PPM Quality Innovation activity is progressed well for the Mold industry especially among the particular industries. It shows the improvement to the management of the delivery schedule, which has been problematic, if adopted to the relating industries based on this study, it is anticipated to help the corporate operation much.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2013년도 추계학술대회 논문집
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• pp.519-524
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• 2013

The purpose of this study is that developing the index which evaluate sound quality of door latch and improving its sound quality through that results. For that, various operating sound of door latch was used for jury test. Loudness and sharpness related metrics are dominant in sound quality index we developed. This research investigate the main transfer path of its operating sound through sound field visualization and get conclusion that could reduce the impact sound of door latch. Therefore, we could verify sound quality improvement of modified product by using sound quality index.

• 품질경영학회지
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• 제45권3호
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• pp.561-582
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• 2017

Purpose: The purpose of this study is to share the right conception of win-win partnership innovative activity. This study suggests the desirable methodology to Win-win Partnership. Also, through the in-depth analyzing of the existing problems, we intend to exclude such a formal and erroneous direction of the research. Methods: This study systematically analyzes the best cases of the win-win partnership focusing on the proceedings of the companies participating in the field of win-win Partnership at the national quality-circle contest. Results: This study reveals the underlying problems of win-win partnership innovative activity and draws the conclusion in the way of improvement about the win-win partnership innovative activity. This study also suggests the efficient method of the function and improvement of a system for activating win-win partnership innovative activity. Conclusion: Promoting the effective way of boosting win-win partnership innovative activity, we seek to improve the quality of the product among the companies, and let the a rising curve of the mutual growth continue among the companies by strengthening the competitiveness.

• 대한영양사협회학술지
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• 제21권1호
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• pp.25-36
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• 2015

In this study, we attempted to improve hospital food delivery service quality and customer satisfaction by using FMEA (Failure Mode and Effect Analysis), which is applied to the quality control of products in manufacturing plants. Subjective food delivery service quality improvement was judged based on a 5-point likert scale. Traditional FMEA uses an RPN (Risk priority number) to evaluate the risk level of a component or process. The RPN index was determined by calculating the product of severity, occurrence, and detection indexes. In our results, total RPN value (P<0.01) significantly decreased after FMEA introduction, whereas customer satisfaction (P<0.001) and food delivery service quality (P<0.001) significantly increased. Specifically, foodservice errors (P<0.01) and loss cost (P<0.01) were significantly improved by FMEA introduction. Taken together, we suggest that FMEA reduces critical activities and errors in foodservice delivery caused by simple priority selection.

• Design & Manufacturing
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• 제17권4호
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• pp.72-78
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• 2023

Injection molding is a process widely used in various industries because of its high production speed and ease of mass production during the plastic manufacturing process, and the product is molded by injecting molten plastic into the mold at high speed and pressure. Since process conditions such as resin and mold temperature mutually affect the process and the quality of the molded product, it is difficult to accurately predict quality through mathematical or statistical methods. Recently, studies to predict the quality of injection molded products by applying artificial neural networks, which are known to be very useful for analyzing nonlinear types of problems, are actively underway. In this study, structural optimization of neural networks was conducted by applying multi-task learning techniques according to the characteristics of the input and output parameters of the artificial neural network. A structure reflecting the characteristics of each process step was applied to the input parameters, and a structure reflecting the quality characteristics of the injection molded part was applied to the output parameters using multi-tasking learning. Building an artificial neural network to predict the three qualities (mass, diameter, height) of injection-molded product under six process conditions (melt temperature, mold temperature, injection speed, packing pressure, pacing time, cooling time) and comparing its performance with the existing neural network, we observed enhancements in prediction accuracy for mass, diameter, and height by approximately 69.38%, 24.87%, and 39.87%, respectively.