• The Journal of Information Systems
• /
• v.28 no.4
• /
• pp.333-358
• /
• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• Proceedings of the ESK Conference
• /
• 1997.04a
• /
• pp.196-199
• /
• 1997

This paper describes the implementation process of Virtual Modeling system for a customer-oriented product. The human sense is measured and analyzed by physical design factors and can be applied also for the product design. The first step implementing virtual modeling is to make a human sensibility("Kansei") database. Human sensibility database is constructed with the relational data of Kansei words and design factors. The next step is extraction the design information from the human sensibility database by fuzzy inference algorithm. This design information is used for the input data for the graphic database. Virtual implementation software compounds 3D shape of product. The final product can be modified according to the customer's requirement.quirement.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.04a
• /
• pp.310-313
• /
• 2000

본 연구에서는 STEP 표준을 고려하지 않고 설계·개발된 기존의 PDM 시스템이 CAD 시스템에서 생성된 STEP 포맷의 제품 데이터를 활용할 수 있도록 하기 위한 데이터 변환 방법을 제시하고자 한다. 이를 위하여 AP203 응용 프로토콜의 분석과 함께 스키마 매핑을 위한 방법과 절차를 제시하였다 그리고, 이를 바탕으로 AP203 스키마와 ‘중소기업형 PDM 시스템'의 DB 스키마간에 매핑을 설계하였다. 또한, CAD 시스템에서 생성된 제품의 Assembly 구조를 PDM 시스템의 BOM 구조로 변환하기 위한 알고리즘을 함께 제시하였으며, 제품의 product structure를 중심으로 데이터 변환을 위한 STEP-to-DB 변환기 프로토타입을 개발하였다. 그리고, CAD 시스템에서 생성된 제품 데이터에 대한 STEP 스키마 구조와 AP203 응용 프로토콜 스키마와의 구조적 차이를 비교·분석함으로서 CAD 시스템에서 생성된 STEP 포맷의 제품 데이터 구조에 대해 엔지니어링 데이터로서의 구조를 갖도록 하기 위한 기초 자료를 제공하였다.

• Korean Journal of Computational Design and Engineering
• /
• v.6 no.4
• /
• pp.229-235
• /
• 2001

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, exchanging 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 to overcome the current difficulties on sharing product data. In this paper, we utilize the ontology concept in order to facilitate information search far product data in the internet environment. A prototype of search system implemented using the ontology for automobile product data is presented.

• Industrial Engineering and Management Systems
• /
• v.8 no.1
• /
• pp.47-53
• /
• 2009

We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

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

• Korean Journal of Computational Design and Engineering
• /
• v.13 no.2
• /
• pp.89-97
• /
• 2008

Today's manufacturing environment is becoming a distributed manufacturing process in which a unique and specialized technological background is required in specific domains rather than having a single company execute all the manufacturing processes. This phenomenon is especially true in the automotive industry, where the sharing of product data between companies is rampant; however, this kind of interoperability causes many problems. When each company has its own method of managing product data, the sharing of product data in a distributed environment is a major problem. A data translator module or a data mapping module had to be developed for the exchange of data in heterogeneous systems of product data management (PDM); moreover, this type of module must be continually changed and improved due to the fact that PDM systems change for many reasons. In addition, the growth in corporate partnerships deepens the burden of developing and maintaining this module and creates further data exchange problems due to the increasing complexity of the system. This paper introduces a way of exchanging product data among heterogeneous PDM systems through the use of OpenPDM, which is a kind of virtual data warehouse. The implementation of a PDM integrating system is also discussed with respect to the requirement for a logical integration of product data which are physically distributed.

• Korean Journal of Computational Design and Engineering
• /
• v.10 no.2
• /
• pp.97-106
• /
• 2005

W3C has developed the RDF standard for utilizing ontology in Web applications. This paper presents extracting, storing, and applying ontology on product data. The design and tooling information included in STEP-NC files is focused as an example. By analyzing the relationship among the product data, the RDF schema is designed first. Based on the schema ontology if extracted and stored in XML files. As an application of the stored ontology, we can reconfigure the sitemap of product data repositories. In this example, the users can select the view that he or she is interested in (e.g. product, tool, person). With such various views of an product data repository, the users can access the specific data more effectively.

• Journal of Engineering Education Research
• /
• v.21 no.6
• /
• pp.90-98
• /
• 2018

This paper proposes a framework of engineering education for product development processes based on product data management (PDM) software and 3D printing. The PDM software supports the product development process-oriented educational coursework, collaborative team projects and project-based learning environment. The 3D printing supports the prototyping step in the product development process and helps participants consider physical realization of their designs during the product design and development phases. The framework was implemented in an introductory course for engineering students to product design and development, and author found that it is important to support rich communication among participants including lecturers, teaching assistants and students to enhance the quality of education and to overcome the burden of learning various computer-aided tools and 3D printing techniques needed for the framework.

• Korean Journal of Computational Design and Engineering
• /
• v.11 no.5
• /
• pp.384-392
• /
• 2006

In this research, the feasibility of distributed finite element analysis system with STEP and CORBA has been investigated. The enabling technologies such as CORBA and Java play key roles in the development of integrated and geographically distributed application software. In addition to the distribution of analysis modules, numerical solution process itself is again divided into parallel processes using multi-frontal method for computational efficiency. In contrast to the specially designed parallel process for specific hardware, CORBA-based parallel process is well suited for heterogeneous platforms over the network. The idea of Web-based distributed analysis system may be applied to the engineering ASP for design and analysis in the product development processes. We believe that the proposed approach for the analysis can be extended to the entire product development process for sharing and utilizing common product data in the distributed engineering environment, thus eventually provide basis for virtual enterprise.