• 대한산업공학회지
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• 제22권4호
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• pp.589-605
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• 1996

Recycling of used products and components has been considered as one of promising strategies for resolving environmental problems. In this respect, most manufacturing companies begin to consider possible recycling (e.q., reuse or re-production) of the components contained in their products. The primary objective of this research is to develop a multiple criteria decision making model for systematic management of recycle-oriented manufacturing components. The production planning problem of recycle-oriented manufacturing components is first formulated as a multiobjective mixed 0-1 integer programming model with three conflicting objectives. An interactive multiple criteria decision making method is then developed for solving the mathematical model. Also, an Input/Output analysis software is developed to help practitioners apply the model to real problems without much knowledge on computers and mathematical programming. A numerical example is used in examining the validity of the proposed model and to investigate the impact of the input variables on recycling production strategy.

• 경영과학
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• 제29권3호
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• pp.121-134
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• 2012

In this study, we consider a component procurement planning problem where the procurement amounts of components are determined under assemble-to-order systems with demand uncertainty. In the problem, procurement amount of each component is decided before the demands of finished products are known and after the demands are identified the assembly amounts of the finished products are decided. In this study, the objective function of the problem is minimizing the total costs which are composed of purchase and inventory costs of the components and the backorder costs of the finished products. We assume that the uncertain demand information is given as multiple scenarios of the demands, and we propose procurement planning methods based on stochastic models which considering the multiple demand scenarios. To evaluate the performances of the proposed methods, computational experiments were carried out on the proposed methods as well as benchmarks including a method based on deterministic mathematical model and a heuristic. From the results of the computational tests, the superiorities of the proposed methods were shown.

• 유통과학연구
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• 제18권6호
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• pp.37-46
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• 2020

Purpose: This research aims to explain the influence of social media influencer (SMI), electronic word of mouth (EWOM), and perceived quality (PQ) on purchase intention (PI) of beauty products on YouTube. Youtube as the number 1 social media in Indonesia, has an important role as a promotional strategy media for beauty products. Research design, data and methodology: This study used the online survey to 210 female respondents aged 17-30 years who became a subscriber of an Indonesian beauty influencer. Simple regression and multiple regressions were performed to analyze the independent variables towards the dependent variable. Results: The results show that social media influencer, electronic word of mouth, and perceived quality simultaneously have a significant influence on purchase intention. Nevertheless, only two variables individually have a significant influence on purchase intention, which is social media influencer and perceived quality. Conclusions: Perceived quality and social media influencer could be the best strategies to increase consumers when promoting through the influencer's Youtube channel by utilizing a subscriber. While e-WOM can be influential on other social media platforms rather than on the Youtube platform. Therefore, suggested that digital marketer must use multiple social media platforms to increase consumers' purchase intention.

• 대한전자공학회논문지
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• 제27권3호
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• pp.31-39
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• 1990

입력 디코더(decoder)가 달린 AND-EXOR형 PLA(programmable logic array)의 간단한 문제는 다치(Multiple-Value)입력 2치 출력 함수를 표현하는 ESOP(배타적 논리화를 이용한 적화형 논리식)의 간단한 문제에 대응한다. 본 논문에서는 5종류 적항의 변형 규칙(rule)을 이용한 ESOP의 간단한 알고리듬을 제안한다. 본 알고리듬에 의해 많은 산술회로의 데이타에 대해서 간단화를 행하였다. 그 결과, 1비트 입력디코더 및 2비트 입력디코더가 달린 PLA의 어느쪽에도 같은 예로써, AND-OR형 PLA 보다 AND-EXOR형 PLA의 쪽이 적은 적항수로 실현될 수 있었다.

• 복식문화연구
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• 제13권2호
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• pp.209-220
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• 2005

The purposes of this study were to determine the components of internet shopping value and to identify how those influence on the consumers' internet shopping behavior of apparel products. The data were collected via a self-administered questionnaire from 221 male and female students who have the shopping experiences for apparel products on the internet shopping malls, living in Kyongnam province. Using SPSS 12.0 package, $Cronbach's \alpha$, factor analysis, cluster analysis, ANOVA, Duncan multiple range test and stepwise multiple regression analysis were performed. The results could be summarized as follows; 1) According to the internet shopping values, college student consumers were classified into three groups, utilitarian value shoppers, hedonic value shoppers and low interest shoppers. 2) As a results of the ANOVA among the three groups, significant differences were found in the internet shopping mall attributes and perceived risks. 3) Internet shopping values-hedonic and utilitarian shopping values, internet shopping mall attributes and perceived risks had an significant effect on the attitude and purchasing intention of the internet shopping mall.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.134-134
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• 2021

Precipitation is a crucial component of water cycle and play a key role in hydrological processes. Traditionally, gauge-based precipitation is the main method to achieve high accuracy of rainfall estimation, but its distribution is sparsely in mountainous areas. Recently, satellite-based precipitation products (SPPs) provide grid-based precipitation with spatio-temporal variability, but SPPs contain a lot of uncertainty in estimated precipitation, and the spatial resolution quite coarse. To overcome these limitations, this study aims to generate new grid-based daily precipitation using Automatic weather system (AWS) in Korea and multiple SPPs(i.e. CHIRPSv2, CMORPH, GSMaP, TRMMv7) during the period of 2003-2017. And this study used a machine learning based Random Forest (RF) model for generating new merging precipitation. In addition, several statistical linear merging methods are used to compare with the results of the RF model. In order to investigate the efficiency of RF, observed data from 64 observed Automated Synoptic Observation System (ASOS) were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the random forest model showed higher accuracy than each satellite rainfall product and spatio-temporal variability was better reflected than other statistical merging methods. Therefore, a random forest-based ensemble satellite precipitation product can be efficiently used for hydrological simulations in ungauged basins such as the Mekong River.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

• 한국의류학회지
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• 제30권2호
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• pp.266-274
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• 2006

This study aims to examine the effect of mass media on fashion leadership of make-up and fashion products. The subjects of the study were 168 women consumers who lived in Seoul. Data were collected during September in 2003. Statistical analyses used in this study were frequency, Cronbach's $\alpha$, ANOVA, Duncan test, t-test, and multiple regression. The results of this study were as follows; 1. As a result of multiple regression for the effect of mass media on fashion leadership of make-up, there was a significant effect of movies on fashion leadership of make-up. 2. As a result of multiple regression for the effect of mass media on fashion leadership of fashion product, there were significant effects of magazines, internet, and movies on fashion leadership of fashion product. 3. In regard to the effects of consumer characteristics on fashion leadership, there were significant effects of consumer characteristics on fashion leadership of make-up and fashion product.

• 산업경영시스템학회지
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• 제43권2호
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• pp.137-145
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• 2020

Various elements of Fabrication (FAB), mass production of existing products, new product development and process improvement evaluation might increase the complexity of production process when products are produced at the same time. As a result, complex production operation makes it difficult to predict production capacity of facilities. In this environment, production forecasting is the basic information used for production plan, preventive maintenance, yield management, and new product development. In this paper, we tried to develop a multiple linear regression analysis model in order to improve the existing production capacity forecasting method, which is to estimate production capacity by using a simple trend analysis during short time periods. Specifically, we defined overall equipment effectiveness of facility as a performance measure to represent production capacity. Then, we considered the production capacities of interrelated facilities in the FAB production process during past several weeks as independent regression variables in order to reflect the impact of facility maintenance cycles and production sequences. By applying variable selection methods and selecting only some significant variables, we developed a multiple linear regression forecasting model. Through a numerical experiment, we showed the superiority of the proposed method by obtaining the mean residual error of 3.98%, and improving the previous one by 7.9%.

• 복식
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• 제65권3호
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• pp.104-116
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• 2015

This research has examined the relationship among film interest, clothing involvement, attitude towards ppl, preference for fashion products, and purchasing intention. In april 2014, 210 university students in Seoul and Incheon filled out a survey. Frequency analysis, k-cluster analysis, t-test, anova, duncan's multiple range test, regression, and mediation regression analysis were used to analyze. Students who were more interested in film were higher in clothing involvement. Clothing involvement had larger influence on preference for fashion products and purchasing intention than film interest. Students highly involved in clothing had more positive attitude towards ppl, preference for fashion products and purchasing intentions. Clothing involvement, attitude towards ppl and preference for fashion products directly influenced purchasing intention. The preference for fashion products had the largest influence on purchasing intention. The preference for fashion products and attitude towards ppl had mediation influences between clothing involvement and purchasing intention.