• IE interfaces
• /
• v.14 no.2
• /
• pp.164-171
• /
• 2001

We suggest a Business Performance Information System with Knowledge Discovery in Databases(KDD) as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. In modeling of Business Performance Information System, we apply the following KDD processes : Data Warehouse for consistent management of a performance data, On-Line Analytic Processing(OLAP) for multidimensional analysis, Genetic Algorithms for exploring and finding dominant managing factors and Analytic Hierarchy Process(AHP) for applying expert's knowledge and experience. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• Proceedings of the Korean Powder Metallurgy Institute Conference
• /
• 2006.09a
• /
• pp.173-174
• /
• 2006

X-ray analysis on iron ores and reduced iron powders revealed that the main acid-insoluble substances were hexagonal and tetragonal quartz, another substances were sillimanite, alumina-silicate, an unnamed zeolite, all contained Si and Al. Their particle size was in the range of $3{\sim}7\;{\mu}m$. Statistics analysis showed that the AIC for high-grade magnetite powder was $(0.130{\pm}0.010)%$) during the latest five months. The predicting value for reduced iron powder should be 0.179%. However, the testing value for reduced iron powder was $(0.192{\pm}0.014)%$. The limited difference of 0.013% might imply rare pollution coming from the reduction and milling processes. The most important step for control AIC should be the separation process of iron ore powders.

• International Journal of Quality Innovation
• /
• v.8 no.3
• /
• pp.156-172
• /
• 2007

The high-tech industry is the economic lifeline for Taiwan. Its characteristics are short product life cycle, rapid changes in the market, and a high obsolescence rate for new products. Under globalization, the high-tech industry has adopted Information Technology (IT) to shorten the manufacturing process, reduce costs and conduct product research and development (R&D) to increase the core competence of enterprises and achieve the goal of sustainable operations. Enterprises should actively strengthen their integration with internal and external resources and lead in R&D management to increase industrial operating performance. Effectively managing operations and R&D management evaluation in Taiwan's High-tech Industry has become a critical subject. This study adopted 4 major Balanced Scorecard (BSC) perspectives to establish the Total Performance Evaluation Indicators for the R&D management department in Taiwan's High-tech Industry. The Analytic Network Process (ANP) was applied to evaluate the overall performance of the R&D management department. The research framework is divided into 2 phases. The first phase is combined with the 4 major perspectives, Financial, Customer, Internal Business Process and Learning and Growth, as the related indicators for each measurement perspective. The Key Performance Indicators (KPI) were selected using Factor Analysis to identify the key factor from the complicated indicators. The relationship between the characteristics of each BSC's evaluation perspective is dependence and feedback. This study applied ANP to conduct the calculation and adjustment of correlation between each KPI, and determine on their relative weights for the objective KPI. The "Financial Perspective" for R&D management department in Taiwan's High-tech Industry focused on the budget achievement rate of R&D management. The weight indicator value is (0.05863). The "Customer Perspective" focused on problem-solving satisfaction. The weight value of this indicator is (0.17549). The "Internal Business Process Perspective" focused on the quantity and quality of R&D. The weight value of this indicator is (0.13506). The "Learning and Growth Perspective" focused on improving competence in the research personnel's professional techniques. The weight value of this indicator is (0.02789). From the total weighting indicators, the order of the Performance Indicators for the R&D management department in Taiwan's High-tech Industry is: (1) Customer Perspective; (2) Internal Business Process Perspective; (3) Financial Perspective; and (4) Learning and Growth Perspective.

• Nuclear Engineering and Technology
• /
• v.53 no.1
• /
• pp.164-171
• /
• 2021

The europium sorption on Tamusu clay was investigated by batch sorption experiments and spectroscopic study under the condition of strong ionic strength. The results demonstrated that europium sorption on Tamusu clay increased rapidly with pH value, but decreased with the ionic strength of solution increased. The europium sorption also increased in the presence of humic acid, especially at low pH value. The sorption could be fitted by Freundlich isotherm model and the europium sorption on clay was spontaneous and endothermic reaction. Besides, the result indicates that ion exchange was the main process at low pH value, while inner-sphere surface complexation dominated the sorption process at high pH value. The Backscatter electron scanning/Energy Dispersive Spectrometer(BSE/EDS) and the effect of Na for europium sorption results further suggested that europium sorption on Tamusu clay mainly competed with Na at low pH value. Overall, the results in this research were of significance to understand the sorption behavior of europium on the geological media under high ionic strength.

• Journal of the Korean Home Economics Association
• /
• v.40 no.2
• /
• pp.67-86
• /
• 2002

The purpose of this research is to offer a method to derive the body shapes and pose factors with resets from analyzing factors by using the measurement values of human body. 297 male subjects in their twenties participated in this study. 54 anthropometric and 35 photographic measurements were taken from each subject. Data is the several typical items selected among items and you have to make an index value by using these typical items and convert it. The index has high correlation with each item, is easy to be measured and is to be used after selecting an important item in designing prototype. With results of analyzing reliability level by each item, correlation and items that factor loading is low, the item that the correlation is high is to be removed within the range that maintains the reliability level. Five factors of the front part and seven factors of the profile came to be derived from this kind of process.

• Fashion & Textile Research Journal
• /
• v.9 no.5
• /
• pp.553-562
• /
• 2007

This study intends to examine the influencing factors in conformity and individuality of make up. For the study, a questionnaire survey was conducted of 436 women in between their twenties to fifties residing in the Kyeongnam region. Obtained data were analyzed pearson's correlation coefficient and multiple regression analysis. The result is summarized as follows.; The influence on conformity and individuality of make up can be described into 4 factors that are included in the decision making process of conformity and individuality, in other words, the demographical characteristic, the body cathexis, the need and the clothing value. The demographic characteristics, the marriage status and the education had a direct influence on conformity, however the body cathexis did not have a direct influence on any subordinate factors of conformity and individuality, but had indirect influence having the need as a parameter or had no influence having the clothing value as a parameter.

• Journal of Electrical Engineering and Technology
• /
• v.7 no.2
• /
• pp.212-220
• /
• 2012

In the current paper, the optimization shape of a polysilicon variable-capacitance micromotor (VCM) was determined using the seeker optimization algorithm (SOA). The optimum goal of the algorithm was to find the maximum torque value and minimum ripple torque by varying the geometrical parameters. The optimization process was performed using a combination of SOA and the finite-element method (FEM). The fitness value was calculated via FEM analysis using COMSOL3.4, and SOA was realized by MATLAB7.4. The proposed method was applied to a VCM with eight and six poles at the stator and rotor, respectively. For comparison, this optimization was also performed using the genetic algorithm. The results show that the optimized micromotor using SOA had a higher torque value and lower torque ripple, indicating the validity of this methodology for VCM design.

• Journal of Korean Society for Quality Management
• /
• v.37 no.4
• /
• pp.71-86
• /
• 2009

The healthcare environment today is changing rapidly with factors of healthcare consumers in selecting medical institutions also altering at a fast pace under the circumstances. In this study, the theory of consumption values established by Sheth in 1991 is adopted in order to examine particular value affecting consumer selection of healthcare institutions. For the purpose of this study, healthcare consumers were surveyed using questionnaires developed based on the five values of Sheth supplemented by value of effort to acquire hospital information and value in health. Consequently, 24 consumption values affecting selection process were confirmed through discriminant analysis. As a result of regression analysis on factors affecting consumer selection of healthcare institution, effort to acquire hospital information and age among demographic characteristics of respondents are determined important predictors for consumer selection of general hospitals over clinics or small-sized hospitals. Further, service, reputation scale of healthcare institution among functional values and importance of health and effort to acquire hospital information among value in health are identified as significant predictors for consumer selection of large-sized general hospitals over clinic or small-sized hospitals. This study suggests not only vital implications for marketing strategy of healthcare institutions, but also methods to promote positive image for healthcare providers. In addition, this study closely examines the cause of the leaning phenomenon of healthcare comsumers toward large-sized general hospitals.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.567-576
• /
• 2012

This study aimed to analyze preferences depending on consumption value in relation to fashion jewelry design, colors, and materials. For this, 156 female consumers participated in it as subjects, and for a research tool of consumption value, VALS (Values and Life Style) technique was employed to make an empirical analysis by dividing it into three types such as principle-oriented value, status-oriented value and behavior-oriented value. Research findings indicate that above all, there are differences in preferences depending on characteristics of fashion jewelry design depending on consumption value. It was found that there are differences in preferences depending on numbers of setting of fashion jewelry depending on consumption value, but it was found that there are no differences in preferences depending on jewelry materials. In addition, it was observed that for color characteristics of fashion jewelry, there are differences in preferences depending on consumption value. There are differences in preferences for fashion jewelry depending on consumption value, which indicates that preferences for products change depending on consumers' consumption value rather than use value. And it can be an explanation for this reason. Therefore, it is necessary to work out a more efficient strategy through a process of setting up a target according to consumption value.

• Korean Management Science Review
• /
• v.25 no.1
• /
• pp.139-147
• /
• 2008

Conjoint Analysis is marketers' favorite methodology for finding out how buyers make trade-offs among competing products and suppliers. Thousands of applications of conjoint analysis have been carried out over the past three decades. The conjoint analysis has been so popular as a management decision tool due to the availability of a choice simulator. A conjoint simulator enables managers to perform 'what if' question accompanying the output of a conjoint study. Traditionally the First Choice Model (FCM) has been widely used as a choice simulator. The FCM is simple to do, easy to understand. In the FCM, the probability of an alternative is zero until its value is greater than others in the set. Once its value exceeds that threshold, however, it receives 100%. The LOGIT simulation model, which is also called as "Share of Preference", has been used commonly as an alternative of the FCM. In the model part worth utilities aren't required to be positive. Besides, it doesn't require part worth utilities computed under LOGIT model. The simulator can be used based on regression, monotone regression, linear programming, and so on. However, it is not free from the Independent from Irrelevant Alternatives (IIA) problem. This paper proposes the EBA (Elimination-By-Aspects) model as a useful conjoint-like method. One advantage of the EBA model is that it models choice in terms of the actual psychological processes that might be taking place. According to EBA, when choosing from choice objects, a person chooses one of the aspects that are effective for the objects and eliminates all objects which do not have this aspect. This process continues until only one alternative remains.