• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.456-463
• /
• 2001

Understanding and adapting to changes of customer behavior in internet shopping mall is an important aspect to survive in continuously changing environment. This paper develops a methodology based on decision tree algorithms to detect changes of customer behavior automatically from customer profiles and sales data at different time snapshots. We first define three types of changes as emerging pattern, unexpected change and the added/perished rule. Then, it is developed similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is developed to evaluate the amount of change. A Korean internet shopping mall case is evaluated to represent the performance of our methodology. And practical business implications for this methodology are also provided.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.31 no.3
• /
• pp.27-40
• /
• 2006

Today's customer demands in supply chains tend to change quickly, variously even in a short time Interval. The uncertainties of customer demands make it difficult for supply chains to achieve efficient inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. Un this paper, we propose an adaptive vendor managed inventory (VMI) model for a two-echelon supply chain with non-stationary customer demands using the action-reward learning method. The Purpose of this model is to decrease the inventory cost adaptively. The control Parameter, a compensation factor, is designed to adaptively change as customer demand pattern changes. A simulation-based experiment was performed to compare the performance of the adaptive VMI model.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.143-146
• /
• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2003.05a
• /
• pp.131-134
• /
• 2003

Today the trend of department Is increasing stores to satisfy consumers to enjoy shopping comfortably and purchase desire. Specially, high stores focus on the sale environment improvement for consumers's pattern such as different corporate images, new life style and value system. However, nowadays Internet shopping mall is generalized, so consumer can purchase high brad more comfortably. Therefore, department store have to show high brand image through new interior production in departments. Specially, the importance of department store's facade is realized to link of company sales promotion of stores. Because the purpose of department store is sale, so the role of facade display is very important. Specially, facade in department stores contains many various concepts connotative logics, so this is more important than other space. Facade shows product images and connects consumer's purchase desire. Therefore the purpose of this study to find out the characteristics of high stores in departments and to help facade design of department stores.

• Journal of Korean Society for Atmospheric Environment
• /
• v.10 no.3
• /
• pp.170-174
• /
• 1994

Atmospheric lead concentrations in Seoul were monitored for ten years from January 1984 to June 1993 using X-ray fluorescence Spectrometer. 342 aerosol samples were collected using high volume samplers at two sites : one at Chungang University campus from 1984 to 1988 and the other at Yonsei University campus from 1989 to 1993. Lead concentration increased steadily from about 300ng/㎥ to the maximum of about 600ng/㎥ in 1988 and then decreased, and this is similar to the pattern of Korean leaded gasoline sales implying that Korean automobile emission is the main source. However, the emission from nation's coal combustion appeared to be substantial as welt, and this emmision is the major cause for the secondary feature strong seasonal variability. Lead concentration varied systematically from season to season, low in summer and high in winter. The region's characteristic climate, frequent and heavy precipitations in summer and dry in winter is considered to be another cause for the seasonal variability.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.23 no.58
• /
• pp.101-111
• /
• 2000

This study uses financial statements on several hundred companies listed in the Korea Stock Market to analyze trends in inventory turnover ratios and examine the effect of inventory performance on the profitability of the companies. Statistical analyses are done to determine if there have been significant changes in inventory turnover ratios and how turnover ratio pattern varied by factors such as industry, size of the firm, and the effectiveness of previous inventory management. Inventory turnover ratios decreased for four consecutive years and were found to vary by industry. Also it is proved that there was statistically significant relationship between the size of the firm and the average level of inventory as a fraction of sales. Regression analysis is done to investigate the relationship between the inventory management performance and profitability of companies and it is found that improvement in inventory level affected profitability of the companies.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.05a
• /
• pp.283-283
• /
• 2004

공장자동화는 국제사회 속에서 살아 남기 위한 필수 요건이 되었다. 값싼 인건비를 무기로 제품 경쟁에 뛰어 들고 있는 주변국가와 경쟁하기 위해서는 인건비 절감과 품질 향상이 필수적이다. 본 논문은 POS용 키보드의 생산공정 중에서 조립된 키보드 칼라 라벨을 자동 검사하는 시스템 개발을 최종목표로 하였다. 현재, 산업용으로 폭 넓게 사용되고 있는 머신 비전 측정시스템은 흑백의 영상과 비교적 간단한 물체에 초점을 맞추고 있다. 그러나, Fig.1의 POS용 키보드는 일반 컴퓨터용 키보드와는 달리 각각의 키가 칼라 라벨로 되어있기 때문에 기존의 흑백 머신 비전 시스템으로 자동화를 구축하기는 힘들다.(중략)

• Journal of the Korea Furniture Society
• /
• v.16 no.2 s.30
• /
• pp.27-36
• /
• 2005

Surface materials of furnitures are continuously studied and marketed with new patterns and new technology so as to create designs and fashions but even professionals are also difficult in distinguishing natural materials from artificial materials. Like this, furniture industry is required for rapid coping with the preference of customers which requires high grade of consumption pattern and is rapidly changed; it is intended to review the current situation of our furniture industry. The purpose of this thesis is to activate furniture industry and elevate the importance of surface materials in assumption of continuous R&D based on systemic data analysis of the kinds and colors of surface materials used in the companies within rank five of sales volume in domestic furniture companies.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.4 no.3
• /
• pp.353-360
• /
• 2004

In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a humam solution (through activity-centered analysis) to a software solution (in form of computer-based artifact). TPSAs are derived from the problem solving pattern or consistent problem solving structures/strategies employed by practitioners while designing solutions to complex problems. The adapters developed by us lead toward human-centeredness in their design and underpinning that help us to address the pragmatic task constraints through a range of technologies like neural networks, fuzzy logic, and genetic algorithms. We also outline an example of applying the TPSAs to develop a working system for assisting sales engineers of an electrical manufacturing firm in preparing indent and monitoring the status of orders in the company.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.30 no.4
• /
• pp.96-102
• /
• 2007

The most fundamental method in IT innovation up to today is the SOA which has been accepted as the standard for the system integration and makes the business more flexible. Although it is important to classify the workflow of enterprise into the unit of services, there is no systematical research on this topic yet. This paper proposes a SOA deployment methodology, which composed of 6 steps. By utilizing this methodology, an enterprise can build up the SOA applied environment easily to achieve its business objectives and to make a linkage between services and business processes more effectively and efficiently, which is proved through Analytic Hierarchy Process. It is considered that Service Oriented Architecture can be the future standard for the IT integration beyond the individual application.