• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.1-17
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• 2011

In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

• Proceedings of the Korea Society of Design Studies Conference
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• 1999.05a
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• pp.62-63
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• 1999

본 연구에서는 디자인 대안의 효과적 평가를 위한 방법을 제안하고자 한다. 현대의 과학과 기술의 발달에 의하여 구입하고자 하는 제품의 선택에 있어 소비자의 관심은 제품의 기능적인 면보다는 오히려 제품의 감성적 측면이나 심미적인 측면들에 대해 더 많은 관심을 갖는 경향이 있다.(중략)

• The Journal of Sustainable Design and Educational Environment Research
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• v.8 no.2
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• pp.22-39
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• 2009

The purpose of this study was to analyze the school location and site planning direction for land use planning of public land development. And this research proposed the direction of small park in school. So this research present the implication on urban planning and design for architecture, park-school complex. This study perform the relationship analysis on location of school and park. The result follows as this : 1) land use planning : Location and space of park-school must be checked in advance. Schools and parks are placed together. The park is located south of the school. 2) school site planning : Small field for dynamic activity is needed in school. The character of small park in school is relationship of educational programs. 3) management : CCTV is installed at school. Bright lights are placed in school. This result will be used in decision-making-process of land use planning, public land development construction, urban design and city policy.

• Journal of the Korea Safety Management & Science
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• v.2 no.3
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• pp.27-36
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• 2000

The Robust Design method uses a mathematical tool called orthogonal arrays to study a large number of decision variables with a small number of experiments. It also uses a new measure of quality, called signal-to-noise (S/N) ratio, to predict the quality from the customer's perspective. Thus, the most economical product and process design from both manufacturing and customers' viewpoints can be accomplished at the smallest, affordable development cost. Many companies, big and small, high-tech and low-tech, have found the Robust Design method valuable in making high-quality products available to customers at a low competitive price while still maintaining an acceptable profit margin. A study to analyze and solve problems of a biochemical process experiment has presented in this paper. We have taken Taguchi's parameter design approach, specifically orthogonal array, and determined the optimal levels of the selected variables through analysis of the experimental results using S/N ratio.

• Archives of design research
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• v.17 no.1
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• pp.163-178
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• 2004

In this study, in order to achieve the before-mentioned study purpose, the importance of developing the new product, the relationship with the design, and the design element for developing the new product were considered. In order to extract the importance of the design element which is applied to the development of the new product design, the research model about the induction of the priority was created, the evaluation items were instituted, and the demonstrative research approach was performed in order to recognize the relationship among those elements. Firstly, in the process of selecting the items for the application, 14 evaluation elements which were extracted through the advanced study data were grouped in 4 kinds of dimensions, and the properties which are related with the Digital TV product were composed up of 36 items. Through the factor analysis, by decreasing the detailed standard for the evaluation of 36 items, the parsimony was secured, and the characteristics which the various items contain induced into one factor. Secondly, the detailed factors which were united into one factor went under the paired comparison as one by one through AHP again, and then the importance degree was generated. First of all, as the first stage of AHP, the decision making factors which affect the whole achievement of purpose of the decision making were classified as in a hierarchical style. From these research results, it was known that the functional factor and esthetic factor in the process of designing the new product are the major affecting variables, and it was confirmed that in case of the Digital TV products group, the factors such as the high quality of picture, big screen, user interface, sound, product reliability, style, size, indoor reproduction, and guarantee are the main factors which influence the need of the consumers in purchasing products.

• Journal of Distribution Science
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• v.13 no.9
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• pp.5-11
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• 2015

Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.955-959
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• 2010

The statistical analysis module is developed for the part of the new standardized geotechnical database computer program. The purpose of this module is that the geotechnical engineers can optimize the underground construction process of the underdeveloped urban area rehabilitation by this module providing the statistical information for the geotechnical decision making and risk assessment. This module will be modified to offer the statistical information sustainable for the newly adapted geotechnical limit-state design methods.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.6
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• pp.853-864
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• 2002

The purpose of this study was to measure consumption values and to investigate the differences in the process of decision making when purchasing apparel products among groups divided by consumption values. A self-administered questionnaire was distributed to 550 subjects in their 20's and 30's from Sepember 29th to October 25th in 2001; 463 were used for the data analysis. The results of this study were as follows; Consumption values were classified into five factors: Practical/functional value, Social/conformitive value, Subjective/aesthetic value, Epistemic value and Conspicuous value. Subjects were classified into 4 groups based on consumption values: the Conspicuous, the Epistemic, the Social/conformitive and the Indifferent. There were significant differences among the four groups in selected motives in the problem recognition process. Significant differences were found among the groups in own taste & personality in the information search process. Significant difference were also found in the importance of design, color, price, coordination, fashion and self-image in the alternative evaluation process.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.05a
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• pp.554-557
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• 2006

For various historical and technical reasons, the safety of dams has been controlled by an engineering standards-based approach, which has been developed over many years, initially for the design of new dams, but increasingly applied over the past few decades to assess the safety of existing dams. And some countries were asked for risk assessment on existing dam, which included structural, hydraulic safety of dam and social risk. Whereas other countries have developed and adapted as an additional tool to assist in decision-making for dam safety management. Dam risk analysis should need the reliability data of dam failures, the past constructed history and management records of existing dam. It is thought with risk analysis method of dams for structural safety management in domestic that suitable to use consider an event tree, fault tree and conditioning indexes method.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.2
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• pp.8-18
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• 1993

A multi-font, multi-size and high speed character recognition system is designed. The design principles are simpilcity of algorithm, adaptibility, learnability, hierachical data processing and attention by feed back. For the multi-size character recognition, the extracted character images are normalized. A hierachical classifier classifies the feature vectors. Feature is extracted by applying the directional receptive field after the directional dege filter processing. The hierachical classifier is consist of two pre-classifiers and one decision making classifier. The effect of two pre-classifiers is prediction to the final decision making classifier. With the pre-classifiers, the time to compute the distance of the final classifier is reduced. Recognition rate is 95% for the three documents printed in three kinds of fonts, total 1,700 characters. For high speed implemention, a multiprocessor system with the ring structure of four transputers is implemented, and the recognition speed of 30 characters per second is aquired.