• 한국환경보건학회지
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• 제50권2호
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• pp.138-145
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• 2024

Background: Appropriateness issues have emerged regarding the non-application of hazardous substance safety standards for items classified as 'other textile products'. Objectives: Testing for formaldehyde (HCHO) and risk assessment were conducted on 'other textiles products' to provide reference data for promoting product safety policies. Methods: Testing was conducted on five items (102 products) classified as 'other textile products' according to relevant standards (textile products safety standards), and the risk of each product was assessed using the evaluation methodologies of the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) and European Chemical Agency (ECHA). Results: Out of the 102 products tested, HCHO was detected above the quantification limit in five. Based on these results, the screening risk assessment indicated that three products exceeded the criteria. Upon reassessing the emission and transfer rates of products exceeding the criteria, it was confirmed that there were no instances of exceeding the criteria. Conclusions: Risk assessment results can be used as supporting data for non-application of hazardous substance standards. However, it is deemed necessary to transition towards a management approach based on risks in order to addressing emerging trends such as convergence/new products.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 춘계학술대회
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• pp.21-22
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• 2011

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.877-880
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• 2003

In a competitive and globalized business environment, the need for the green products becomes stronger. To meet these trends, the environmental assessment besides delivery, cost and quality of products should be considered as an important factor in new product development phase. In this paper. a knowledge-based approximate life cycle assessment system (KALCAS) for the collaborative design environment is developed to assess the environmental impacts in context of product concept development. It aims at improving the environmental efficiency of the product using artificial neural networks consisting of high-level product attributes and LCA results. The overall framework of the collaborative environment including KALCAS is proposed. This architecture uses the CO environment to allow users on a wide variety of platforms to access the product data and other related information. It enables us to trade-off the evaluation results between the objectives of the product development including the approximate environmental assessment in the collaborative design environment.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2008년도 춘계학술대회
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• pp.239-245
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• 2008

In this study has investigated and considered product planning methods at the existing product design process and being used the safety evaluation methods at the product planning stage, and has deduced the 16 safety evaluation elements to have to be considered for executing the safety evaluation at the product planning stage. When the safety evaluation is executed from the product planning stage, more safe products will be designed.

• 품질경영학회지
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• 제41권4호
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• pp.623-635
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• 2013

Purpose: The recent major recalls of hazardous products caused consumer product safety acts to be strengthen worldwide. Although the recall system of hazardous products in Korea has been operating based on Framework Act on Product Safety since 2011, the evaluation of product risk has been relied on not the results of objective incident data but the results of illegal product investigations. The purpose of this paper is to propose a product risk assessment model for Korea using injury data. Methods: The authors derived Korea's risk assessment method by analysing the advantages and disadvantages of the most widely used models in advanced countries such as EU's RAPEX RAG and Janpan's R-MAP. In this study, the level of relative frequency and severity of injury are determined based on the objective incident data and the length of hospitalization respectively. In addition, the injury data occurred during 2011 is applied to the proposed risk assessment model for case study. Results: The data analysed in this paper can be classified as high risk, medium risk, low risk, acceptable risk, and safe products through the matrix f rom the combination of the relative frequency and the severity derived. Conclusion: The proposed risk assessment model in this study has advantage obtaining reliable objective results because it uses actual injury data and redeems the drawbacks of the existing models used in advanced countries. Furthermore, because the proposed model shows the high risk products among many, it is expected to be useful especially for customs whose main job is inspecting the imported goods and the government when selecting the target product groups for safety investigation.

• 한국IT서비스학회지
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• 제11권2호
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• pp.49-68
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• 2012

The purpose of this study is to analyse the country image, the pre-assessment, and the usage intention about overseas internet shopping mall service in china and how these factors are related to one another according to internet shopping mall using experience. And this study divided the country image for internet shopping mall service into two components : general country attribute and general service product attribute. In this study it is found that the country image of international internet shopping service is directly related to the pre-assessment, and the pre-assessment is related to usage intention especially in case that chinese consumer has a lot of internet shopping mall using experience. In the other case, the general country attributes affect the general service product attributes but the general service product attributes don't have any relationship with the pre-assessment. For a successful international internet shopping mall service business in China, marketer should recognize that it is important to formulate the policy extending the internet shopping mall experience as well as using the country image.

• 디지털융복합연구
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• 제15권4호
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• pp.181-190
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• 2017

최근 가습기살균제 사건을 비롯하여 휴대폰, 유아용 기저귀 등 생활용품의 안전사고가 빈번히 발생하고 있다. 이러한 사고로부터 소비자를 보호하기 위해서는 제품 안전관리가 필요하며, 제품의 안전성 정도를 평가할 수 있는 제품 리스크 평가 도구가 필요하다. 본 논문은 한국소비자원의 제품 사고관련 위해정보를 바탕으로 제품 리스크를 평가할 수 있는 시스템인 RAS(Risk Assessment System)를 구축하였다. RAS는 사고관련 정보를 분석하는 위해정보 분석시스템과 이 시스템으로부터 도출된 정보를 활용하여 리스크를 평가하는 리스크 평가시스템으로 구성되어 있다. 리스크 평가과정에서 제품 리스크에 영향을 미치는 인과관계를 반영한 베이지안 네트워크 기반의 확률적 기법을 적용하였다. RAS를 사용하여 어린이 제품 33품목에 대해 평가를 실시했으며 EU RAPEX의 RAG의 평가결과와 비교해 보았다. 그 결과 본 연구의 RAS의 결과는 전반적으로 EU RAPEX RAG의 평가 결과에 비해 낮은 수준을 보임을 알 수 있었다. 추후과제로는 사고영향척도 입력값의 주관성 저감, 위해정보 분석시스템과 리스크 평가시스템의 연동 등을 들 수 있다.

• Journal of Mechanical Science and Technology
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• 제17권12호
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• pp.1969-1976
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making for the product concepts, and the best alternative can be selected based on its estimated LCA and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need a new approach for the environmental analysis. This paper explores a new approximate LCA methodology for the product concepts by grouping products according to their environmental characteristics and by mapping product attributes into environmental impact driver (EID) index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then, a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for newly designed products. The training is generalized by using product attributes for an EID in a group as well as another product attributes for the other EIDs in other groups. The neural network model with back propagation algorithm is used, and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines for the design of environmentally conscious products in conceptual design phase.

• 디지털융복합연구
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• 제12권8호
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• pp.101-112
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• 2014

본 연구에서는 한국의 제품 안전관리를 위한 시나리오 기반의 리스크 평가기법을 개발, 제시한다. 이를 위해 먼저 한국의 제품 안전관리를 위한 관련 규제정책을 살펴보고, 이 법의 시행을 위해 필요한 제품 리스크 평가기법을 일반상해의 경우와 유해물질의 경우로 구분하여 제시한다. 본 연구에서 제시되는 리스크 평가기법의 특징은 다음과 같다. (i) 제품의 사용 시 발생할 수 있는 부상 시나리오에 기반을 둔 방법이다. (ii) 시나리오 발생 확률과 인체에 미치는 부상 심각도를 바탕으로 리스크를 평가한다. (iii) 유해물질 함유 제품의 경우 유해물질의 인체에의 위해성 여부를 확인한 후 부상 심각도를 고려해서 리스크를 평가한다. 부상 시나리오의 확률을 결정하기 위하여 본 연구에서는 시나리오를 몇 가지 구성 요인으로 분해하고 이들 각각의 요인 확률을 추정하여 전체 시나리오의 확률을 결정한다. 본 연구에서 제시된 기법을 통하여 리스크 평가를 수행한 결과를 제시하고 이를 제품 안전관리를 위한 품목 분류에 활용할 수 있음을 보인다.

• 한국정밀공학회지
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• 제20권3호
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• pp.221-229
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making fer the conceptual product design and the best alternative can be selected based on its estimated LCA and its benefits. Both the lack of detailed information and time for a full LCA fur a various range of design concepts need the new approach fer the environmental analysis. This paper suggests a novel approximate LCA methodology for the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes into impact driver index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for new design products. The training is generalized by using product attributes for an ID in a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines fer the design of environmentally conscious products in conceptual design phase.