• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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• pp.121-124
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• 1997

This paper is concerned with the generation and use of modular BOM, which is typically utilized in representing product configurations for two-level master production schedule. A method called VCM (Value Clustering Method) is proposed to build modular BOMS. We adopted a where-used matrix to represent part-product relationships. VCM is a method that can identify modules of components based on the where-used matrix. The method uses product family group value, product value, and component value. This can facilitate retrieving information about modules, finding out alternative usage pattern of components, and recognizing modules used in a particular product.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.529-535
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• 2022

The purpose of this study is to identify the factors that influence the revisit of jewelry stores. The purpose od this study is to find specific factors that affect product and store satisfaction. The theoretical studies on product quality, perceived quality guarantee, product design, product price, sales promotion, product diversity, store area, store re-visit intent were reviewed. Based on this background, research hypotheses were established. A total of 80 questionnaires were distributed to verify the hypothesis of the study, and 64 were finally used for the analysis. SPSS 24.0 was used for hypothesis verification. The results of this study showed that product quality, perceived product guarantee, product design, and product price had positive influence on product satisfaction. On the other hand, sales promotion, product diversity and store interior were found to have positive influence on store satisfaction. Furthermore, product and store satisfaction were found to have a positive and significant effect on revisit Jewelry Stores.

• 복식문화연구
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• 제16권5호
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• pp.955-962
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• 2008

This article is about the naming method for fashion product in cyber shopping mall. For two months, the name of fashion product is listed and analyzed, from BEST 100 category in cyber shopping mall. SPSS ver.10.0 is used and frequency, spearman raw test and t-test are done. The fashion product names are arranged in naming method. There are four kinds of methods for fashion product naming; describing, associating, bundling and style numbering. Describing is most used method both cyber shopping mall. Between marketplace cyber shopping mall and merchant, there is significant difference in composition of naming. Bundling naming method is more used in marketplace cyber shopping mall, and describing and style numbering method is used often in merchant. The words which are composed the name of fashion product are divided in a single word and arranged. The words for describing are classified in noun and adjective. Noun is used for depicting textile and construction and adjective is for touch and image. There is no difference for using words between marketplace and merchant.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• Industrial Engineering and Management Systems
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• 제10권2호
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• pp.128-133
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• 2011

This paper presents a study on product design optimization to reduce the environmental impact of machining. The objective is to analyze the effect of changing the product design parameters such as its dimensions, and basic features on the environmental impact of machining process in terms of its energy consumption, waste produced and the chemicals and other consumables used up during the process. To realize this objective, we used a CAD model of a product with different design scenarios, and analyze their energy consumption using an environmental impact calculator method developed. The waste produced, and the consumables used up, such as lubricants and coolants were analyzed using environmental emission factors. Optimization methods using Genetic Algorithm and Goal Programming are applied to the product design parameters in order to get the best possible product dimensions with the least environmental impact of the machining process.

• 대한인간공학회지
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• 제15권1호
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• pp.15-26
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• 1996

When a product is designed, it is important to consider its image on consumers. In this study, we developed a technique to measure product image. Because human image of a product is very subjective and fuzzy, it is difficult to measure easily. To deal with this difficulty effectively, we used fuzzy- weighted checklist. The fuzzy-weighted checklist presents a fuzzy version of the weighted checklist technique for evaluating or comparing complex systems or subjects. In this technique, we used a pairwise comparison method to obtain the relative importance weights of image factors. Also, we used linguistic ratings to obtain the scores of image factors for a product. Then, we synthesized the scores of image factors to obtain a fuzzy composite score and its linguistic approximation. The entire procedure of this technique was written in quick Basic. As an example, this techinque is applied to car evaluation. The results show that this technique can be effectively used to the quqntitative evaluation of huamn image.

• 한국의상디자인학회지
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• 제18권1호
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• pp.91-103
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• 2016

The product name is the main factor in working out the marketing strategies, because it offers the information of the products, and reflects functions, materials, expectable effect, and the trends of the cosmetics. The purpose of this study is to analyze the type of language, the number of syllabus, and the composition method of the product names for the domestic cosmetics brands. It analyzes 120 products of skins and lotions from 10 brands of the Amore-Pacific. The results of the study are as follows; Firstly, foreign words and languages are mostly used in the product names, and the mixed words are used more than the korean and the chinese characters. Secondly, 7-15 syllabus is the most widely used number for the brand names. It is rare to use only one word for the brand name and it is general to use the combination of relative words that describes the product well. Thirdly, it is found to be common to have 'product line + product type' for the composition method. This kind of composition method uses the words that indicates skin troubles.

• 대한수학회논문집
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• 제12권3호
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• pp.725-741
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• 1997

This paper considers the problem of deriving exponential probability inequalities for product symmetric Poisson processes. As an application they are used to show the existence of regular version of some product process derived from L$\acute{e}$vy process.

• 한국산학기술학회논문지
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• 제17권8호
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• pp.691-697
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• 2016

재제조란 고객시장으로부터 회수된 중고품의 닳거나 고장 난 부품을 성한 것으로 교체하여 재제조품 시장에 재판매하는 것을 말한다. 본 논문은 사용된 제품의 회수량이 회수 가격의 함수로 나타나며 일정 계획기간 동안의 재제조품에 대한 수요량이 주어진 경우의 회수 및 재제조 정책을 다룬다. 회수한 사용후 제품은 분해 검사를 통하여 품질을 확인하며 검사가 끝난 회수제품의 품질이 고품질과 저품질의 두 부류로 분류되고 품질 수준에 따라 재제조비용이 상이해 지는 현실적 상황을 가정한다. 두 부류의 분류확률에 불확실성이 없는 경우 및 불확실성이 있는 경우 각각을 대상으로 재제조 시스템의 총비용을 최소화 하는 회수가격 및 재제조 정책을 결정하기 위한 수리모형을 개발한다. 개발한 모형의 수리적 특성을 분석하여 최적해를 구하는 절차를 찾아내고, 최적해가 얻어지는 경우를 분석하여 재제조시스템의 생산경영자에게 시사해주는 검사비용 크기의 경영학적 함의를 밝힌다. 수치 예를 통하여 검사비용 및 회수품 시장규모가 변화함에 따라 최적회수가격이 변화하는 양태를 분석하여 최적해의 민감도를 분석하고, 고품질과 저품질의 어느 한 부류로 분류되는 확률의 불확실성이 커질 때 불확실성을 무시한 의사결정의 오류가 어떻게 변화하는지 고찰한다.

• 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.