• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.192-197
• /
• 2001

A recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly nowadays so the concerns about various recommendation procedures are increasing. We introduce a recommendation methodology by which e-commerce sites suggest new products of services to their customers. The suggested methodology is based on web log analysis, product taxonomy, and association rule mining. A product recommendation system is developed based on our suggested methodology and applied to a Korean internet shopping mall. The validity of our recommendation system is discussed with the analysis of a real internet shopping mall case.

• Korean Management Science Review
• /
• v.17 no.3
• /
• pp.147-160
• /
• 2000

These days, a modeling tool or environment has to know about the others on the market and build bridges to them with which their customers insist on sharing models and data. When it is based on a closed architecture, a tangle of import/export point translators is required. Using an exchange standard, we can design an open architecture for the interchange of models and data. XML(Extensible Markup Language) provides a framework for describing the syntax for creating and exchanging data structures. The explosive growth of XML-based business proposals and standards reflects the urgent requirements and its strength. This paper proposes an XML-based language for sharing decision models within the MSOR/DSS community. The language is able to allow applications and on-line analytic processing tools to models obtained from multiple sources without having to deal with individual differences between those sources. It is expected to be a medium for B2B integration by supporting flexible interchange of decision models.

• IE interfaces
• /
• v.18 no.1
• /
• pp.1-9
• /
• 2005

A new logistics concept is needed through the sharing information between suppliers and consumers, which maximizes the customers service and its flexibility by changing functional- oriented to process-oriented. As in many other industries, communication and data manipulation technology have led to systematical change to the logistics industry. One of the biggest changes of the industry that lies ahead is Consolidated Transportation. To improve this systematically false logistical environment, developing an integrated logistics information system with consolidated transportation, framework, standardization, and data integration is essential. However, no party outstands as the leading party for nationwide improvement of logistics, nor does the right analysis and design for it. Therefore, successful nationwide logistics model is yet to exist. This paper provides individual parties, which consider efficient consolidated transportation as their business models, with instructions for logistics information system so that they could be competitive in the market. It also helps companies collect user requirements for efficient consolidated transportation, and utilize it for its development. Finally, this paper extracts the design of algorithm for the efficient consolidated transportation.

• Korean Management Science Review
• /
• v.31 no.4
• /
• pp.135-150
• /
• 2014

This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

• Journal of the Korea Society of Computer and Information
• /
• v.9 no.4 s.32
• /
• pp.215-220
• /
• 2004

Production management confronted the environment of infinite competition should be prepared to abrupt variations of management environment and have the ability to be changed in short term. It has to be studied, the control method of products that correspond to multi-functionalization and reduced product life which is caused by high-quality and varied customers demands. As a process control method, we most be able not only to control varies characteristic in a control at once but also to detected special values quickly for high-quality. In this paper a control method referred above is presented.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.6
• /
• pp.588-598
• /
• 2015

In this paper, a simulation model for assessing the impact of alternative field service engineer replenishment policies is introduced. The end-to-end supply chain simulation model is created using a discrete-event and agent-based simulation model, which enables accurate description of key individual entities in the investigated supply chain, such as field service engineers. Once the model is validated with the historical data, it is used to assess the impacts of field service engineer replenishment policies for a major printing equipment manufacturing firm.In the case study, newly proposed replenishment policies for post-sale distribution supply chain are assessed for the level of service improvement to end customers.

• Korean Management Science Review
• /
• v.13 no.3
• /
• pp.75-90
• /
• 1996

This paper presents an improved method of the Analytic Hierarchy Process (AHP) when customers are to select the best automobile purchase models. In order to support group decisions and as a different procedure of the conventional AHP, we combine the AHP model with a spreadsheet model that applies the Likert's rating scheme to each alternative. We only consider individual pairwise comparison matrices where the consistency ratio (C.R.) is less than or equal to 0.2. Finally, we regard the weight of each decision maker as a reciprocal number of C.R. As a case study we prioritize three passenger cars of medium size in the domestic market. The major evaluation criteria include:exterior or interior features, performance, safety, pricing, salesman, and after service.

• The Journal of Information Systems
• /
• v.14 no.1
• /
• pp.125-147
• /
• 2005

This research focused on the comparison of corporate business mokels to explain different financial performances on the eBusiness domain. Especially, because customers have the more buying [ower tha other business areas, customer value and the service quality were prepared for independent variables and operational margin which can be obtained by publicize report was used for a dependent variable in stead of the other variables dependent on human perception as well. As a result, this research found that the customer value measured by service quality concept impact on the financial performance of eBusiness corporation positively. To find out more delicate results, structural equation was used for statistical method using 324 survey samples on 10 corporations. Though data using for statistical analysis were divided into individual and corporate level and have the time gap between research time and financial performance publicized period, the value of this research is that the customer value and service quality concepts with very objective financial information were input for constructing a research model.

• Journal of Information Technology Services
• /
• v.6 no.2
• /
• pp.113-123
• /
• 2007

In ubiquitous computing environment such as ubiquitous marketplace (u-market), there is a need of providing context-based personalization service while considering the nomadic user preference and corresponding requirements. To do so, the recommendation systems should deal with the tremendous amount of context data. Hence, the purpose of this paper is to propose a novel recommendation method which provides the products-group list of the customers in u-market based on the shopping intention and preferences. We have developed FREPIRS(FREquent Purchased Item-sets Recommendation Service), which makes recommendation listof product-group, not individual product. Collaborative filtering and apriori algorithm are adopted in FREPIRS to build product-group.

• Proceedings of the KIEE Conference
• /
• 2002.11b
• /
• pp.234-236
• /
• 2002

The Co-Gen System which maximize energy efficiency was installed at the industrial plants at the initial stage. However Small Scale Co-Gen System was expanded even to the general end-users such as housing and building owing to ESCO business recently. For this SSC, inter-connected operation to the utility is desirable due to voltage and frequency fluctuation following to unbalance between power output and load. Then voltage unbalance with utility system, frequency, increase of short circuit capacity, reclosing, and ALTS etc. should be fully considered for the inter-connected operation. Voltage variation, protection coordination, Co-Generators single running, and short circuit capacity should also be solved. To research the method and solve the problems through the field test and application, we study individual customers Co-Gen System as a case study.