• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.152-159
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• 2011

Housing construction companies have been providing master bedroom walk-in closet as a selling point in modest sized apartments as small as 74m$^2$. It is noticeable that master bedroom walk-in closet in apartments provided by public sectors showed much variety in its size. This study tries to set up the guide line of master bedroom walk-in closet size. It is quite reasonable to assume that the biggest space-occupiers in walk-in closet are blankets and clothing. The survey conducted in this study shows that the number of clothes people keep in their closet does not show any significant difference regardless of square footage of their apartments. 34.7% of respondent answered they keep about 50-60 clothes using coat hangers, where 20-30 of those are winter clothes. It is calculated the required optimum length of the walk-in closet is 3.8m$^2$. Considering the most popular longitudinal dimension of master bedroom, 3.9m, and the space needed to accommodate blankets, it can be concluded that the required length of storage in master bedroom walk-in closet is 2.1m. The length can be adjusted reflecting the length of the master bedroom.

• Journal of applied mathematics & informatics
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• v.19 no.1_2
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• pp.397-414
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• 2005

In the existing literature, most of the purchasing models were developed only for retailers problem ignoring the constraint of storage capacity of retailers shop/showroom. In this paper, we have developed a deterministic model of wholesaler-retailers' problem of single product. The storage capacity of wholesaler's warehouse/showroom and retailers' showroom/shop are assumed to be finite. The items are transported from wholesaler's warehouse to retailers' Own Warehouse (OW) in a lot. The customer's demand is assumed to be displayed inventory level dependent. Demands are met from OW and that spaces of OW will immediately be filled by shifting the same amount from the Rented Warehouse (RW) till the RW is empty. The time duration between selling from OW and filling up its space by new ones from RW is negligible. According to relative size of the retailers' existing (own) warehouse capacity and the demand factors, different scenarios are identified. Our objectives are to optimize the cost functions of wholesaler and two retailers separately. To solve this problem, a real coded Genetic Algorithm (GA) with roulette wheel selection/reproduction, whole arithmetic crossover and non-uniform mutation is developed. Finally a numerical example is presented to illustrate the results for different scenarios. To compare the results of GA, Generalised Reduced Gradient Method has been used for the problem. Also, a sensitivity analysis has been performed to study the variations of the optimal average cost with respect to the different parameters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.6
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• pp.571-579
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• 2004

The purpose of the study is to know the current status of the assets backed securities(ABS) in Korea. ABS enables banks, depository institutions, finance companies, and other corporations to liquefy their assets (i.e., raise cash by borrowing against assets) and develop new sources of capital. ABS are bonds that represent pools of loans of similar types, duration and interest rates. By selling their loans to SPC, the originator recover cash quickly, enabling them to make more loans. The ABS market in Korea has grown so rapidly since Financial Crisis in Korea. In current, So many different types of loans are securitized and sold in the investment markets. For more prospering ABS in Korea, some problems in ABS should be make up.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.123-133
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• 2003

The specific objectives of the study were as follows: 1) To investigate the composition system (design, usability and interactivity) of web sites of textile exchange of B to B 2) To examine and valuate contents and marketing (announcement, satisfaction and variety of contents) of web sites of textile exchange of B to B. The data were collected from search engine, portal sites of evaluation, direct contact, interview over the phone with web master of concerned web sites and the result of analytical valuation of web sites. The results of this study were as fellows: 1) The Dongsung trading intended to mainly use their homepage as a inside communication place by intranet network. The Daechang trading was mainly using their homepage as a tool of expansion of their outside export market. The etextiler was selling their web solutions through homepage. The texcom was offering the web place and useful informations to trading companies in Asia. 2) The texcom consisted text with little image to speed up for loading and navigation for usability of users. The Dongsung trading made intranet network for communication and exchange of informations of company inside. The etextiler offered a booking menu to inquiry in homepage. The Daechang trading tried to give good impression from the introduction page at homepage.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.68-98
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• 2004

Although the internet is useful for transferring information, Internet auction environments make fraud more attractive to offenders because the chance of detection and punishment are decreased. One of fraud is phantom transaction which is a colluding transaction by the buyer and seller to commit illegal discounting of credit card. They pretend to fulfill the transaction paid by credit card, without actual selling products, and the seller receives cash from credit card corporations. Then seller lends it out buyer with quite high interest rate whose credit score is so bad that he cannot borrow money from anywhere. The purpose of this study is to empirically investigate the factors to detect of the phantom transaction in online auction. Based up on the studies that explored behaviors of buyers and sellers in online auction, bidding numbers, bid increments, sellers' credit, auction length, and starting bids were suggested as independent variables. We developed an Internet-based data collection software agent and collect data on transactions of notebook computers each of which winning bid was over 1,000,000 won. Data analysis with logistic regression model revealed that starting bids, sellers' credit, and auction length were significant in detecting the phantom transaction.

• Clean Technology
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• v.1 no.1
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• pp.34-46
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• 1995

Clean Technology goes beyond Clean-UP (or "End of PiPe) Technologies to include Pollution prevention, waste minimisation, and cleaner production. However, the concept of Clean Technology goes deeper than changes in technology, to ways in which human needs can be satisfied sustainably. In other words, Clean Technology, concentrates on delivering a human benefit rather than making a product. Introducing cleaner technology may therefore involve new commercial relationships as well as new technological practices. In some economic sectors, this involves leasing or providing a service rather than selling a product. Life Cycle Assessment (LCA) is an important tool in Clean Technology. LCA involves determining all the resources used and all the wastes and emissions produced in providing the human benefit. Use of LCA ensures that improved environmental performance in one part of the Life Cycle is not achieved merely at the expense of more environmental damage elsewhere. Going beyond LCA, the concepts of Life Cycle Design and "metabolised" use of materials are approaches to obtain maximum benefit from materials as they pass through the human economy. "Closed-loop" use can be a component of clean technology. Looking beyond simple re-use and recycling, a material may pass through a "cascade of uses". typically a series of applications with progressively lower performance specifications. Closed-loop use necessarily involves a change in commercial practice, because the material or product must be recovered after use.

• Corrosion Science and Technology
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• v.10 no.2
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• pp.43-46
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• 2011

Zinc consumption in a continuous galvanizing line is one of the highest operating cost items in the facility and minimizing zinc waste is a key economic objective for any operation. One of the primary sources of excessive loss of zinc is through the formation of top dross and skimmings in the coating pot. It has been reported that the top skimmings, manually removed from the bath, typically consist of more than 80% metallic zinc with the remainder being entrained dross particles ($Fe_2Al_5$) along with some oxides. Depending on the drossing practices and bath management, the composition of the removed top skimmings may contain up to 2 wt% aluminum and 1 wt% iron. On-going research efforts have been aimed at in-house recovery of the metallic zinc from the discarded top skimmings prior to selling to zinc recycling brokers. However, attempting to recover the zinc entrapped in the skimmings is difficult due to the complex nature of the intermetallic dross particles and the quality and volume of the recycled zinc is highly susceptible to fluctuations in processing parameters. As such, an efficient method to extract metallic zinc from top skimmings has been optimized through the use of a specialized thermo-mechanical process enabling a continuous galvanizing facility to conserve zinc usage on-site. Also, through this work, it has been identified that filtration of discrete dross particles has been proven effective at maintaining the cleanliness of the zinc. Future efforts may progress towards expanded utilization of filters in continuous galvanizing.

• Journal of the Korean Magnetic Resonance Society
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• v.21 no.2
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• pp.44-49
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• 2017

Coffee is one of the top selling products in the world. There are various coffee bean species around the world. Among them, Coffea Arabica is the most popular species. However, there are few studies on the metabolites of coffee beans so far. This study demonstrates effects of the planted regions on the metabolite concentrations of coffee beans. The metabolites of coffee beans can be affected by growing area even although same species are grown. Accordingly, we studied coffee bean metabolites extracted from the same species in different regions (The brand names, Kona from Hawaii, Mocha Matari from Yemen, and Blue Mountain from Jamaica) by using mixed solvent of methanol: water: chloroform. A comparative analysis by NMR spectroscopy was performed and the statistical techniques were used to figure out the differences. As a result, we found that chlorogenic acid, caffeine, citrate, and sucrose mainly contributed to the separation of the three groups. When compared with Kona and Blue Mountain, concentrations of chlorogenic acid, caffeine, and sucrose in Mocha Matari were observed to be relatively down-regulated. In addition, compared with the two other groups, concentration of citrate in Kona was observed to be up-regulated.

• Industrial Engineering and Management Systems
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• v.9 no.2
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• pp.97-106
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• 2010

Can eBay.com's fee structure coordinate the channel? It's a critical strategic problem in e-commerce operations and an interesting research hypothesis as well. eBay's fees include three parts: monthly subscription fee, insertion fee, and final value fee (i.e., a revenue sharing portion), which represent a generic form of revenue sharing fee structure between the retailer and the vendor in a supply chain. This research deals with such a channel consisting of a price-setting vendor who sells products through eBay's marketplace exclusively to the end customers. The up- and down-stream channel relationship is consignment-based revenue sharing. We use a game-theoretic approach with assumption of the retailer (i.e., eBay.com) being a Stackelberg-leader and the vendor being a follower. The Stackelberg-leader decides on the terms of revenue sharing contract (i.e., fee structure), and the follower (vendor) decides on how many units to sell and the items' selling price. This study formulates several profit-maximization models by considering the effects of the retail price on the demand function. Under such settings, we show that eBay's fee structure can improve the channel efficiency; yet it cannot coordinate the channel optimally.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.169-176
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• 2009

Rule discovery is an operation that discovers patterns frequently occurring in a given database. Rule discovery makes it possible to find useful rules from a stock database, thereby recommending buying or selling times to stock investors. In this paper, we discuss storage structures for efficient processing of queries in a system that recommends stock investments. First, we propose five storage structures for efficient recommending of stock investments. Next, we discuss their characteristics, advantages, and disadvantages. Then, we verify their performances by extensive experiments with real-life stock data. The results show that the histogram-based structure improves the query performance of the previous one up to about 170 times.