• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.61.2-61
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• 2001

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.206-216
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• 2007

The purpose of this study was to investigate the differences in the cosmetic purchasing behavior influenced by make-up preference images, and the orders of importance in the cosmetic store selection. The questionnaires were given to female residents in the ages between $20{\sim}45$ in Seoul and Kyung-gi province. 322 questionnaires were used for data analysis. The collected data were analyzed by using SPSS 10.0 software with various techniques such as Frequency analysis, Factor analysis, Cronbach's ${\alpha}$ reliability analysis, Paired t-test, ANOVA test and Duncan test. The results of this study were as follows: 1. After investigating how the make-up preference image influences the selection of the off-line cosmetic store, it was found out that the personal service, shopping convenience, and product composition had significant differences. 2. After investigating how the make-up preference image influences the selection of the on-line cosmetic store, it was found out that only the product composition had significant difference. 3. After studying the factors that influence the off-line cosmetic store selection, it was found that the personal service was considered most important. After studying the factors that influence the on-line cosmetic store selection, it was found that the price was considered most important.

• Journal of Fashion Business
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• v.7 no.4
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• pp.26-42
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• 2003

On-line clothes sale are on the increase, and the returns(for replacements or refunds) of the clothes are also increasing. Many studies on off-line consumers' complaints were made before, but few studies on the returns of clothes sold on-line have been made. From this viewpoint, this study was conducted to know what effect returns of clothes sold on-line have on their brands. Therefore, this study was first focused on the factors affecting complaint acts(return intention or return acts) such as lack of information and recognition of product, delivery errors and product defects concerning on-line sales, and second investigated the changes of buyers' attitude toward the brand following the their acts of returning the buyers, and third looked into the changes of on-line buyers' attitude toward the brand. The study is carried out by subdividing the objects of the study into return action(replacement, refundment) and purchasers who experienced return intention. Such experience is demonstratively analyzed to find how it has affected the attitude toward the brand. The study comes up with the following outcomes. First, the effect factor causing complaint action(return action, return intention) on-line is shown as the lack of the information and recognition of the product. Second, it is revealed that the effect factor causing complaint(return action, return intention) does not lie in an error in delivery or a defect of a product. Third, the positive response of a brand to a return action does not raise the repurchasing intention and positive attitude of purchasers who experienced returning a product, but lowers their private complaint action intention. Fourth, the repurchase intention of purchasers who experienced return intention for the brand is lowered, but their negative attitude and private complaint action intention is not raised.

• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.697-708
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• 2003

In a software product line approach, developers first develop common software architecture and components by analyzing the characteristics of all software members, and then produce each application by integrating components. The approach is considered very effective means for developing and maintaining in parallel a software product family. Main disadvantage of this approach is that it requires a big up-front investment in preparing product line. Therefore, it takes time to deliver the first version. In this paper, we present an incremental method to develop software families, which requires small additional cost for initial versions and allows an organization to move smoothly to full-scale product line. We present our method by explaining how to record and upgrade the results of variations analysis, and show the application of our method by developing a family of YBS. Our method is a low-risk approach that can be effectively applied to an organization that starts developing software systems but has to deliver the first versions quickly to the market.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.11
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• pp.487-498
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• 2015

Traceability enables software developers to trace up the changes occurring in software artifacts. In software product line, traceability is more complex than traceability in a single product as commonality and variability should be considered. Modeling traceability between features and requirements has been proposed in the past. However, traceability between requirements and architecture has more factors to consider, including many-to-many mappings and hierarchical structure of architectures. This paper proposes a method of systematically constructing platform traceability between platform requirements and platform architecture. This paper also shows the efficacy of the proposed mechanism through case studies.

• IE interfaces
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• v.12 no.3
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• pp.468-479
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• 1999

Lean production system can be defined as customer(product)-oriented production system with small lot size and flow-shop layout based on the JIT(Just-in-time) principles. In this paper, we introduce a case example of implementation of the Lean product ion system for manufacturing line of electronic component which has both machine processes and manual jobs. We also investigate the issues of implementing the Lean production system with the viewpoints of layout design scheme and JIT management rules. In the layout design, we propose the cell-line which has flow-shop layout with small lot size. In the management rules, the superior cell rule is applied in order to boost the needs of kaisen up. As the results of implementing the Lean production system, production lead time is decreased from 5 days to 1.5 days and also productivity and quality level arc surprisingly increased.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3122-3122
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• 2001

Documented quality control plays a vital role I the production of technical “Depth filter” sheets used in industries such as Beverage and pharmaceutical. Depth filter sheets which can be up to several millimeters thick are stacker in plate and frame filter systems. They are the core of stainless steel filter systems which can be up to several meters high. FT-NIR Spectroscopy has many potential applications in the whole production line of filter sheets. Raw materials such as different types of cellulose pads, white powdery fillers (e.g. Kieelgur, Perlite) or liquid chemicals such as wet-strength agents we, with the help of NIR, easy to identify. NIR can also determine physical parameters such as particle size, essential for the filtration behavior. FT-NIR can be used for the quality parameters of the final product. Moisture and permeability can be determined, and with the help of the speed of this NIR method it is possible to correct possible faults quickly in the production process. Waste production can be minimized which is good for both the product profitability and the environment. Further tests have shown that it is also possible to use NIR on-line in the production area, to check the concentrations and the homogeneity of the paper suspension consisting of cellulose fibres, fillers and additives.

• Korea-Australia Rheology Journal
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• v.13 no.1
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• pp.1-12
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• 2001

This paper describes the application of our recently developed two-phase model for flow-induced crystallization (FIC) to the simulation of fiber spinning and film blowing. 1-D and 2-D simulations of fiber spinning include the combined effects of (FIC), viscoelasticity, filament cooling, air drag, inertia, surface tension and gravity and the process dynamics are modeled from the spinneret to the take-up roll device (below the freeze point). 1-D model fits and predictions are in very good quantitative agreement with high- and low-speed spinline data for both nylon and PET systems. Necking and the associated extensional softening are also predicted. Consistent with experimental observations, the 2-D model also predicts a skin-core structure at low and intermediate spin speeds, with the stress, chain extension and crystallinity being highest at the surface. Film blowing is simulated using a "quasi-cylindrical" approximation for the momentum equations, and simulations include the combined effects of flow-induced crystallization, viscoelasticity, and bubble cooling. The effects of inflation pressure, melt extrusion temperature and take-up ratio on the bubble shape are predicted to be in agreement with experimental observations, and the location of the frost line is predicted naturally as a consequence of flow-induced crystallization. An important feature of our FIC model is the ability to predict stresses at the freeze point in fiber spinning and the frost line in film blowing, both of which are related to the physical and mechanical properties of the final product.l product.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.747-750
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• 2007

This study proposes that chlorine residue after metal etch as the source of metal corrosion, and charges should be removed by optimizing etch, PR strip and cleaning condition. Charges distributed along the metal line acts as a source of tungsten (W) plug corrosion when associated with following cleaning solution. In cleaning process after metal etch and PR strip, chemical selection is significantly important in terms of metal corrosion. Optimal corrosion preventive PH, no metal attack (choice of optimal inhibitants), high by product removal efficiency and optimal de ionized water treatment condition is critical to the metal corrosion prevention.