• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1218-1227
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• 1999

Consumer evaluate the jeans product by price brand and store because these cues be surrogate indicator that could infer the product quality. But we need to confirm if depending on these cues were rational and this is the goal of this study. method of the study was based on theoretical and empirical study. For empirical study experiments by the subjects among students of Ewha Womans University were done by using jeans as stimulus,. Data was analized by ANOVA factor analysis grouping analysis F-test Pearson's correlation duncan Test and etc 571 data was analyzed of the 600 data. The results of this study are as follows : Evaluation on jeans product were different even though they were exactly the same jeans. Therefore we could confirm the bias by price brand store when consumer evaluate jeans product. Cues like price brand store effected significantly the evaluation of jeans. Quality perception of jeans was most favorable when evaluation cues were combined with high price famous brand and high prestige store. Value perception was favorable when combined with famous brand and high prestige store but value perception on high price became lowe. Purchase intention correlate with value perception and it shows same format with value preception. The most important cue of all three was store the next was price and then brand. These three cues effect the evaluation of jeans product seperately and together.

• The Journal of Industrial Distribution & Business
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• v.5 no.4
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• pp.13-22
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• 2014

Purpose - This study aims to examine new product adoption (NPA) in the context of clothing in Iran. Research design, data, and methodology - Data were gathered from cloth owners in Iran, focusing on famous cloth brands cloth. Further, using the proportionate stratified sampling method, a total 438 usable questionnaires were returned and analyzed through the use of structural equation modeling (SEM). In addition, LISREL software was used to analyze the data collected through the structured questionnaires. Results - Overall, the study findings indicate that education has a positive effect on new product adoption, whereas the impacts of religion and Attitude towards Consumption (ATC) on new product adoption are negative and significant, but the effect of age, peers, and income on new product adoption is not significant. Conclusions - Using date obtained from a large random sample of Iranian consumers, this study offers a deeper understanding of the attitudinal and personal antecedents of consumers' new product adoption in an emerging market. Using the findings of the articles and conclusions will be useful for market researchers and, of course, business persons.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.53-62
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• 2018

Purpose - In the development of new products, suppliers involvement and developing products jointly can be said to be strategic activities that utilize the lack of knowledge from external organizations. In this new product development, supplier involvement has been proven to have a positive impact on new product development performance for a long time by previous research. However, sufficient academic research has not been conducted on the influence of supplier involvement in various product strategies or sales strategies that buyers make in order to secure a competitive advantage in the market. This study argues that product strategy and sales strategy used by buyers in the development of new products will control the effect of supplier involvement on new product development performance in order to compensate the lack of these academic aspects. Research design, data, and methodology - Specifically, we selected the modularization strategy of the product as the product strategy, which is considered as an important strategy in the new product development through the preceding research, and the mass customer satisfaction strategy was chosen as the sales strategy. In order to achieve these research objectives, regression analysis was conducted using data from manufacturing productivity panel collected jointly by the Ministry of Industry, Trade and Industry and the Korea Productivity Center. Results - As a result, supplier involvement and new product development performances (development cost efficiency, customer satisfaction) were positively related. The product modularity strategy proved to have an interactive effect on the relationship between supplier involvement and new product development performances (development cost efficiency, customer satisfaction). However, it has not been confirmed that there is a statistically significant interaction effect between supplier involvement and new product development performances. Conclusions - Supplier involvement has positive relationships with NPD performance. In addition, product modularity strategies have interaction effects with supplier involvement and affect new product development performance (development cost efficiency and customer satisfaction). The results of this study are of academic significance in the case of lack of empirical studies on the effect of supplier participation on the effect of buyer 's strategy when a supplier participates and develops new products jointly.

• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.639-649
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• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.95-107
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• 1999

The design models of a new product in general are created using clay models or wooden mock-ups. The reverse engineering(RE) technology enables us to quickly create the CAD model of the new product by capturing the surface of the model using laser digitizers or coordinate measuring machines. Rapid prototyping (RP) is another technology that can reduce the product development time by fabricating the physical prototype of a part using a layered manufacturing technique. In reverse engineering process, however, the digitizer generates an enormous amount of point data, and it is time consuming and also inefficient to create surfaces out of these data. In addition, the surfacing operation takes a great deal of time and skill and becomes a bottleneck. In rapid prototyping, a faceted model called STL file has been the industry standard for providing the CAD input to RP machines. It approximates the CAD model of a part using many planar triangular patches and has drawbacks. A novel procedure that overcomes these problems and integrates RE with RP is proposed. Algorithms that drastically reduce the point clouds data have been developed. These methods will facilitate the use of reverse engineered geometric data for rapid prototyping, and thereby will contribute in reducing the product development time.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.621-628
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• 2010

Quality assurance data is used to develop the strategy of the product since it is valuable for reliability assessment of the product. However, manufacturers don't take into account the life of the product but just produce WCR (Warranty Call Rate) which is monthly or quarterly claims per 1000 products in terms of table or graph. In this study we will consider how they analyse that kind of data and suggest an appropriate type of analysis which incorporates the life time of the product. Finally we emphasize that the appropriate type of analysis has to be merged into the.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.9
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• pp.82-92
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• 1998

An international standard for the product model data, STEP, and a standard for the distributed object technology, CORBA, will play a very important role in the future manufacturing environment. These two technologies provide background for the sharing of product data and the integration of applications on the network. This paper describes a prototype CAD/CAE environment that is integrated on the network by STEP and CORBA. Several application servers and client software were developed to verify the proposed concept. The present CAD/CAE environments are composed of several individual software components which are not tightly integrated. They also do not utilize the rapidly expanding network and object technologies for the collaboration in the product design process. In the design process in a large organization, sharing of application resources, design data and analysis data through the network will greatly enhance the productivity. The integration between applications can be supported by two key technologies, CORBA(Common Object Request Broker Architecture) and STEP(Standard for the Exchange of Product Model Bata). The CORBA provides interoperability between applications on different machines in heterogeneous distributed environments and seamlessly interconnects distributed object systems. Moreover, if all the data in the CAD/CAE environment are based on the STEP, then we can exclude all the data conversion problems between the application systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.108-111
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• 2022

Applying deep learning to machine vision systems for defect detection of products requires vast amounts of training data about various defect cases. However, since data imbalance occurs according to the type of defect in the actual manufacturing industry, it takes a lot of time to collect product images enough to generalize defect cases. In this paper, we apply a Siamese neural network that can be learned with even a small amount of data to product defect detection, and modify the image pairing method and contrastive loss function by properties the situation of product defect image data. We indirectly evaluated the embedding performance of Siamese neural networks using AUC-ROC, and it showed good performance when the images only paired among same products, not paired among defective products, and learned with exponential contrastive loss.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.04a
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• pp.434-440
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• 2003

The exchange of model design date among heterogeneous CAD systems is a difficult task because each system has different data structures suitable for its own functions. STEP has been able to represent product information as a common computer-interpretable form that is required to remain complete and consistent when the product informant is needed to be exchanged among different computer system. However, STEP has difficult architecture in is representing point, line, curve and vectors of element, more over it can't represent geometry data of feature based models. In this study, a structure of XML document that represents geometry data of feature based models as neutral format has been developed. To use the developed XML document, a Converter has also been developed to exchange modules so that it can exchange feature based data models among heterogeneous CAD systems. Aa for evaluation of the developed XML document and Converter, Solidworks and SolidEdge are selected.