• Journal of applied mathematics & informatics
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• v.20 no.1_2
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• pp.327-343
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• 2006

A general methodology is suggested to solve shelf-space allocation problem of retailers. A multi-item inventory model of breakable items is developed, where items are either complementary or substitute. Demands of the items depend on the amount of stock on the showroom and unit price of the respective items. Also demand of one item decreases (increases) due to the presence of others in case of substitute (complementary) product. For such a model, a Contractive Mapping Genetic Algorithm (CMGA) has been developed and implemented to find the values of different decision variables. These are evaluated to have maximum possible profit out of the proposed system. The system has been illustrated numerically and results for some particular cases are derived. The results are compared with some other heuristic approaches- Simulated Annealing (SA), simple Genetic Algorithm (GA) and Greedy Search Approach (GSA) developed for the present model.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.733-741
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• 2012

In recent, many consumers visit the online shopping malls or price comparison sites to collect the information on the product category that they are interested in. However, the volumes of the data provided by such web sites are often too enormous, and significant number of consumers have trouble in making purchase decision based on the plethora of products and sellers. In this context, modern online shopping agents need to process the retrieved information in more intelligent way before providing them to the users. This paper proposes a novel approach for identifying the main price ranges hidden in a single product category. To this end, the price of an item in the category is represented as a row vector and k-means clustering analysis is applied to the price vectors to produce the clusters that consists of the product items with similar price vectors. Then, the main price ranges of the product category can be identified from the result of clustering analysis. In general, the price is one of the most important factors in the consumers' purchase decision, and the identified main price ranges will be helpful for the online shoppers to find appropriate items effectively.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.11-20
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• 2007

Even though much research has been performed to recommend favorite items to the buyers in the internet shopping mall, to the best of our knowledge. it is hard to find previous research on the recommendation of buy points. In this paper, we propose a method which can be used to recommend buy points of an item to the buyers. To do this, a database containing normalized price patterns is constructed from the archive of past prices. Then, the future price pattern is retrieved from the database based on the similarity. Here, regression analysis is used to find and analyze the elements that affect the price. We also present performance results showing that the proposed method can be useful for shopping malls.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.3
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• pp.322-328
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• 2007

Highly standardized products are suitable for automated purchasing using electronic commerce technology, where the price becomes the most important factor. Suppliers can change the prices dynamically based on the inventory level and market situation in order to maximize the sales and profit. In the virtual marketplace where multiple customers purchase multiple standardized products from multiple suppliers repetitively, customers can purchase the required amount of each item as a dynamic bidding by allocating purchase orders to the suppliers based on the current price. Customers need a method to quickly determine the optimal allocation of orders to the suppliers using the dynamically changing data to minimize the total cost. We present a LP model which minimizes the sum of the total price plus transportation cost for this problem. Simulation results using random data show meaningful reduction of the total cost.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.1
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• pp.141-158
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• 2020

This study examines age differences with respect to consumers' clothing purchase behavior. First, the differences of age groups were investigated according to clothing purchase behavior, which include purchase item, purchase price, purchase channel, information resources, purchase frequency, and monthly clothing expenditures. Second, the differences of segmented groups by age variable were investigated according to clothing purchase behaviors after segmenting consumers by clothing shopping orientation. An on-line survey was conducted from July 2 to July 10, 2019, and 500 data were collected from adults aged 20s to 60s who had bought their own clothes within one year. Data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. This findings showed that there were significant differences in purchase item, purchase price, purchase channel, purchase frequency, and information resources according to age group. As a result of segmentation by shopping orientation, consumers were classified into three groups of high shopping involvement, low shopping involvement, and economic pursuit. In addition, there were partly significant differences in clothing purchase behavior according to classified groups by age variable.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.75-91
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• 2022

Purpose - This study aims to predict the future market and draw policy implications by analyzing the trend of outsourcing housework through the food subscription service. Research design, data, and methodology - Content analysis was conducted on the consumption value emphasized in advertisements by item targeting food subscription service advertisements. Advertisements used as research data were extracted via keyword searches on Google web pages. A total of 30 advertisements selected were used for the final analysis. Result -The consumption values emphasized in the advertisements for staple foods, refreshments, and special foods were analyzed by considering the following factors: price, convenience, health, and pleasure. Convenience and health were emphasized in the staple foods, and price and pleasure were emphasized in the snacks. In the case of special foods, convenience and pleasure appeared together with a focus on health. Conclusion - Based on the trend of food subscription services, the implications for the market and policies for outsourcing housework through home meal replacement can be presented. Considering that the consumption value of a food subscription service is differentiated by item, it is necessary to formulate a plan to develop the market and policies related to outsourcing housework.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.17-33
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• 2009

The purpose of this study was to get some pieces of prior information to eventually develop high value-added fashion cultural products design using local cultural resources, to promote the cultural tourism festival. For this purpose, this study is carried out the investigation of cultural product stores and visitors' questionnaire survey. The subjects of this study were festivals which were selected as cultural tourism festival by the Ministry of Culture, Sports and Tourism from 2000 to 2008. Of them, six festivals were finally selected but food festival was excluded. The results of this study were as follows; First, the store survey was conduced to analyze the situation of the products of cultural tourism festival. The most frequent product was accessories. And a T-shirt was found to be sold every festival probably because it was the most popular item and basic item which people could buy without burden. While the most diverse kinds of products were found in the Andong, the Jinju and Gangjin were found not to develop various products. In the design motif used for cultural products, most products did not use festival or local image. The highest use of the festival and local image was found in Gangjin and Muju. The Andong and Chungju were found to sell very common products buying anywhere rather than products using local cultural resources or image. In the material of cultural products, most products use metal. And In the price of cultural products, 10,000-30,000 won was found highest. Second, the purchase conditions of cultural tourism festival visitors were examined. The visiting goal and companion of visitors was found to vary with the type of cultural tourism festival. The types of visitors were also found to have an effect on the choice of items in the purchase of cultural products sold in the festival. Only one third of respondents responded buying one and more cultural products. The purchase rate was found high in the festival where cultural product items were various and there were many products symbolizing festival or region. The most purchased item was a mobile phone hanger and the amount of purchasing cultural products was 10,000-30,000 won. The reason not to purchase cultural products was dissatisfaction with utility, originality, possibility of a present, symbolism, and price. The most important attribute in the purchase of cultural products was design, followed by symbolism, price, originality, and innovation. The highly preferred product group included clothing, miscellaneous goods, and accessories. Specifically, T-shirt was found highest. Based on these research results, it was found that the design strategy for the cultural products development should consider both regional and festival images. The items and designs of the cultural products should reflect visitors' characteristics and the price zone should be varied.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.238-244
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• 2022

Civil projects are associated with many uncertainties because they involve a long duration, many resources, a large area, and many supply chains. Therefore, the price of a civil project is not simply proportional to the quantity and unit price of the item but has a variable value, including uncertainty risk. This study investigates the influence of the uncertainty factors in the pre-bid clarification document on bid price formation during the project bidding phase. To this end, civil projects from the California Department of Transportation (Caltrans) were used as research data. This study randomly selected fifty sample data from each of twelve counties from 2008-to 2020: six hundred. The authors observed that each project sample had 0 to n query cases due to uncertainty. Then, this study examined the project uncertainty cases and categorized them into the following four uncertainty factors: 'conflict' (UF1), 'impossibility' (UF2), 'lack' (UF3), and 'missing' (UF4). Under the extracting process, the cases are classified into four uncertainty factors. With the project not containing any uncertainty factors as a control group, the project containing these uncertainty factors was designated as an experimental group. After comparing the bidder's price, the experimental group's bid price was higher than the control group's. This result suggests that uncertainty factors in bid documents induce bidders to set a high bid price as a defense against uncertainty.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.629-643
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• 2023

The purpose of this study was to examine the effectiveness and efficiency of a policy by comparing and analyzing the impact of the rice market isolation system and production adjustment system (strategic crops direct payment system that induces the cultivation of other crops instead of rice) on rice supply, rice price, and government's financial expenditure. To achieve this purpose, a rice supply and demand forecasting and policy simulation model was developed in this study using a partial equilibrium model limited to a single item (rice), a dynamic equation model system, and a structural equation system that reflects the casual relationship between variables with economic theory. The rice policy analysis model used a recursive model and not a simultaneous equation model. The policy is distinct from that of previous studies, in which changes in government's policy affected the price of rice during harvest and the lean season before the next harvest, and price changes affected the supply and demand of rice according to the modeling, that is, a more specific policy effect analysis. The analysis showed that the market isolation system increased government's financial expenditure compared to the production adjustment system, suggesting low policy financial efficiency, low policy effectiveness on target, and increased harvest price. In particular, the market isolation system temporarily increased the price during harvest season but decreased the price during the lean season due to an increase in ending stock caused by increased production and government stock. Therefore, a decrease in price during the lean season may decrease annual farm-gate prices, and the reverse seasonal amplitude is expected to intensify.

• Journal of Chest Surgery
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• v.25 no.4
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• pp.438-444
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• 1992

We analysed 7,180 annual cases of surgical treatment performed by Department of Thoracic and Cardiovascular Surgery of 6 major institutes in Seoul Korea, All cases were applied to 101 of 140 coded items applicable to the field of Thoracic and Cardiovascular Surgery, in the book of "Standard Price List for Medical Service" which was notified by the Ministry of Health and Social Affairs, and of them, applied field specific items were 70 of 93 applicables. The most frequently applied items were those associated to ECC[extracorporeal circulation] 1,510 cases, and then item of closed thoracostomy 751 cases was next. Except the items associated to ECC, the coded item of the highest "Total cost[fee x total applied numbers]" was mitral valve replacement 182,356,570 won[534,770 won x 341 cases]. 140 items were arranged in "Total cost" order, and then categorized into 5 groups. Medical insurance fees of each group were modified by different grades without changes in sum of total fees. Fees of Group 1, the highest group in "Total cost" were pulled up, on the other hand, Group 4, the lowest group, were pulled down, Group 5, composed of overlapping items with other fields, were not changed. The result of adjustment by grouping showed 21.2% increment effect[535,749,105 won] in real income. And we found that new coded items for modern high technological procedures should be added to "Standard Price List for Medical Service “Standard Price List for Medical Service".