• Journal of the Korean Society of Costume
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• v.50 no.2
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• pp.29-45
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• 2000

The object of this study is to predict the import demands for korean textile, textile products and clothing products. The analyzing method performs through demand prediction method is by using Exponential Smoothing Model and STATGRAPHICS. The result from the practice of study is as follows ; Textile import ratio is expected to be increased constantly and the portion of textile import in our national total import is precited to reach to 3.92% in 2003. The import of the textile product to textile will be increased to 33.12% in 2003. The import ratio of clothing product ratio is also estimated to increase annually, Import ratio of clothing-product in textile-product import reaching to total 6.42% (83.89% in 2000, 90.31% in 2003), the growth rate of clothing import will be much higher than that of clothing export. From 2000 to 2003 , textile import is precited to be 5.23%. The import of the textile product will be increased by 8.04%. The import of clothing product will reaches 11.21%, which would be the highest rate among the products under review. Also , it predicts the constant increase as a result of prediction in the nation's total amount of import including the import amount of textile, textile-product, and clothing product.

• IE interfaces
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• v.18 no.3
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• pp.234-246
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• 2005

A silicon wafer is a highly customized product made to the individual order varying its electrical and physical characteristics. Therefore, it has distinctive supply chain structure that is different from highly standardized commodity product. For high-volume/high-standardization product, it is general that a main stream of information flow initiated by the production planning of the manufacturers is usually directed to push both ways in a supply chain: upstream to the suppliers and downstream to the customers. Contrastingly, for low-volume/high-customization product, the information flow triggered by the fluctuating customer demand usually propagates upward to the suppliers through the manufacturers. Furthermore, for R &D based hi-technology product like silicon wafer, the interactive information feedback mechanism between manufacturer and customer, which is essential to the new product development process, is to be embedded in the supply chain. This article is a case study of supply chain management system of LG Siltron, a major Korean silicon wafer manufacturer. The SCM system entails special information structure fitting well typical high-variety/high-customization product, and also gives application possibilities to the R&D based high-technology product made to the individual customer order.

• The Journal of Society for e-Business Studies
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• v.3 no.2
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• pp.57-71
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• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• Korea Science and Art Forum
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• v.19
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• pp.259-267
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• 2015

Product-Service Systems (PSS) has drawn significant attention since it can effectively address diverse values of consumers by integrating products and services. PSS has been defined as a system of products, services, supporting networks and infrastructure that is designed to satisfy customer needs and to generate values. Manufacturing companies can accomplish business innovation by devising new service elements and providing PSSs starting from their products. Such new efforts are called manufacturing servitization. With analysis of the company's business contexts, diverse strategies could be set for servitization. Services could be developed so that their product functions can be supported. On the other hand, new services could be devised to drive active emotional values of their customers in a broadly related manner with their products. In this way, different servitization strategies in service space could be employed. In this paper, the product-service integration spaces for comparison of product-service systems in manufacturing servitization is briefly sketched. Various issue spaces, termed dimensions, would be used including service space, customer space, value space and business model space. Diverse PSS cases, including well-known PSSs and brand new PSSs, will be classified and compared to demonstrate the product-service integration spaces.

• Journal of the Korean Society of Clothing and Textiles
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• v.11 no.3 s.25
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• pp.111-119
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• 1987

The main purposes of the study were to categorize the clothing items into product groups according to their product characteristics, and to find out the differences of consumer perception on clothing Product groups among different age and socioeconomic groups. A questionnaire about characteristics It?as constructed on the basis of Lipton, Darling, and Miracle's theories on product categorisations. The questionnaires were administered to female subjects in two age groups (20's and 40's) living in Seoul. Subjects were classified into 3 socioeconomic groups for the analysis. The Analysis of variance, post-hoc comparisons (Scheffe test and Tuckey test) were employed for the statistical inferences. The results were as follows ; Group I : none Group II : socks, undershirts, T-shirts (20's age group) Group III : blouse, sweater, blue jean, pajama, langerie, T-shirts (40's age group), skirt Group IV : jacket, skirt (high class of 40's age group) two-piece, half coat, long coat, Korean folk costume Group V : none Some of the clothing items were categorized into different product groups by different age and socioeconomic groups.

• Kyungpook Mathematical Journal
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• v.46 no.3
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• pp.307-313
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• 2006

In this paper, we first establish an interesting new finite integral whose integrand involves the product of a general class of polynomials introduced by Srivastava [13] and the generalized H-function ([9], [10]) having general argument. Next, we present five special cases of our main integral which are also quite general in nature and of interest by themselves. The first three integrals involve the product of $\bar{H}$-function with Jacobi polynomial, the product of two Jacobi polynomials and the product of two general binomial factors respectively. The fourth integral involves product of Jacobi polynomial and well known Fox's H-function and the last integral involves product of a Jacobi polynomial and 'g' function connected with a certain class of Feynman integral which may have practical applications.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.3
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• pp.597-608
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• 1997

Life cycle product data is very important yet difficult to handle for manufacturing companies. Shoring and exchanging product data over world-wide-web is a part of key technology to implement PDM or CALS. STEP is widely accepted as a standard to represent the life-cycle product model data. Described in this paper is a web browser plug-in that can graphically display and explore product data represented by STEP over internet. By the use of the plug-in (named "npSTEP"), a product model data stored in STEP format on a web server can be displayed on a commonly used web client (browser), such as Netscape navigator, without any format conversion process. Furthermore one can explore the components or attributes of the product model data in hierarchical manner.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1652-1655
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• 2008

A new high contrast LCD structure for TN mode TFT-LCD, of which the contrast ratio is 1.2 times hi gher than that of the conventional one, has been developed. The contrast ratio of TFT-LCD display can be improved by some modified materials, which like as polarizer, liquid crystal, color filter and light enhancement film. In order to know which condition can get the major contribution for the upgrade of the contrast ratio, we used Taguchi method and analyzed the contribution ratio for each composition and succeed to build up the formula of contrast ratio. From this study, we could achieve the highest CR value as 1200:1 of TN mod e TFT-LCD nowadays.

• The Journal of Society for e-Business Studies
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• v.5 no.1
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• pp.1-18
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• 2000

As the networks (i.e., intranet and internet) proliferate all over the world, it is inevitable to move some (or all) of the enterprise activities into virtual spaces. Differently from business data, product data have complex semantics and thus are not properly exchanged among different application programs. Even though some neutral formats of product data have been developed by standard organizations, translating them among various application programs still needs the comprehensive understanding of the complex semantics. Recently, it is widely recognized that capturing more knowledge is the next step In overcome the current difficulties on sharing product data. In this paper, we present Web-based knowledge management that facilitates seamless sharing of product data among various application programs in virtual enterprises. Three types of knowledge are managed by the knowledge management system - metadata, ontology, and mapping. In this environment, we consider both business applications (e.g., ERP, SCM, and EDI System) and engineering applications (e.g., CAD and CAM system).

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.55-60
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• 2020

As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.