• 유통과학연구
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• 제13권9호
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• pp.103-112
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• 2015

Purpose - This paper aims to provide a step-by-step approach to factor analytic procedures, such as principal component analysis (PCA) and exploratory factor analysis (EFA), and to offer a guideline for factor analysis. Authors have argued that the results of PCA and EFA are substantially similar. Additionally, they assert that PCA is a more appropriate technique for factor analysis because PCA produces easily interpreted results that are likely to be the basis of better decisions. For these reasons, many researchers have used PCA as a technique instead of EFA. However, these techniques are clearly different. PCA should be used for data reduction. On the other hand, EFA has been tailored to identify any underlying factor structure, a set of measured variables that cause the manifest variables to covary. Thus, it is needed for a guideline and for procedures to use in factor analysis. To date, however, these two techniques have been indiscriminately misused. Research design, data, and methodology - This research conducted a literature review. For this, we summarized the meaningful and consistent arguments and drew up guidelines and suggested procedures for rigorous EFA. Results - PCA can be used instead of common factor analysis when all measured variables have high communality. However, common factor analysis is recommended for EFA. First, researchers should evaluate the sample size and check for sampling adequacy before conducting factor analysis. If these conditions are not satisfied, then the next steps cannot be followed. Sample size must be at least 100 with communality above 0.5 and a minimum subject to item ratio of at least 5:1, with a minimum of five items in EFA. Next, Bartlett's sphericity test and the Kaiser-Mayer-Olkin (KMO) measure should be assessed for sampling adequacy. The chi-square value for Bartlett's test should be significant. In addition, a KMO of more than 0.8 is recommended. The next step is to conduct a factor analysis. The analysis is composed of three stages. The first stage determines a rotation technique. Generally, ML or PAF will suggest to researchers the best results. Selection of one of the two techniques heavily hinges on data normality. ML requires normally distributed data; on the other hand, PAF does not. The second step is associated with determining the number of factors to retain in the EFA. The best way to determine the number of factors to retain is to apply three methods including eigenvalues greater than 1.0, the scree plot test, and the variance extracted. The last step is to select one of two rotation methods: orthogonal or oblique. If the research suggests some variables that are correlated to each other, then the oblique method should be selected for factor rotation because the method assumes all factors are correlated in the research. If not, the orthogonal method is possible for factor rotation. Conclusions - Recommendations are offered for the best factor analytic practice for empirical research.

• 한국식생활문화학회지
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• 제32권2호
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• pp.150-161
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• 2017

This study was conducted to identify sensory characteristics of soy-meat samples by trained panels and to observe the relationship between these sensory characteristics and consumer acceptability of the samples. Descriptive analysis was performed on eight samples; four types of patty style soy-meat samples (Soy-meat Patty; SP) made with a Ddukgalbi recipe (YSP, VSP, LSP, and SSP) and four types of Bulgogi style soy-meat samples (Soy-meat Bulgogi; SB) made with a Bulgogi recipe (YSB, VSB, LSB, and SSB). Seven panelists were trained, and they evaluated the appearance, odor/aroma, flavor/taste, texture/mouth feel, and after taste attributes of these samples. Forty attributes were generated by panelists, and 37 attributes were significantly different across products (p<0.05). The SB group was characterized by beef, leek, and garlic flavor as well a sweetness, denseness, slipperiness, chewiness, and pepper after taste. The SP group was characterized by roughness, particle size, rancid oil flavor, raw bean flavor, astringent, sourness, and adhesiveness. Consumer test (n=125) showed that the VSB sample had the highest scores for acceptability of appearance, flavor, texture, and overall liking. The PLSR results show that the attributes that were more positively associated with acceptance of soy-meat samples were beef taste, wetness, and chewiness, whereas the raw bean smell and rancid oil flavor attributes were negative.

• 동아시아식생활학회지
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• 제22권6호
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• pp.836-850
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• 2012

This study was conducted to identify the sensory characteristics of the Korean traditional confectionery, dasik, prepared under different conditions and to compare their consumer acceptance in Korea. To accomplish this, descriptive analysis of eight samples prepared using two types of rice cake powder, dasik (Rflour, Rflour_Omija), brown rice powder red ginseng dasik (Brice_Ginseng_P), pinepollen dasik (PineP), black sesame dasik (BSesame), bean dasik (Rbean), and two types of mungbean starch dasik (Starch_Omija, Starch_Greentea), was conducted by ten trained panelists. In addition, 81 consumers evaluated the overall acceptance (OL), acceptance of appearance (APPL), odor (ODL), flavor (FLL), and texture (TXTL) of the samples using a 9-point hedonic scale, as well as the perceived intensities of sesame flavor, sweetness, and hardness using a 9-point just-about-right (JAR) scale. Partial least square- regression (PLSR) indicated that the BSesame and Rbean samples, which had significantly (p<0.05) high roasted sesame, burnt, greasy, glossy, and cooked chestnut flavor scores, had the highest acceptability and consumer desire scores. Additionally, the PineP and Rflour_Omija samples, which had relatively high particle size, transparency, roughness, spoiled tofu, fermentation and raw rice flavor scores, were the least preferred samples. Therefore, roasted sesame, burnt, greasy, glossy, and cooked chestnut flavor attributes were considered drivers of "liking" whereas particle size, transparent, roughness, spoiled tofu, fermentation, and raw rice flavor attributes acted as drivers of "disliking" among consumers.

• 한국식품조리과학회지
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• 제30권2호
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• pp.200-211
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• 2014

This study was conducted to identify the sensory characteristics of four kinds of wild vegetables (samnamul, miyeokchwi, daraesoon and bangpung namul), which were prepared through three different soaking methods: SBS (soaking both before and after boiling), BS (soaking only after boiling) and B (never soaking). Moreover, it also compared the consumer acceptance of these samples in Korea. A descriptive analysis was performed on 12 samples (Sam_SBS, Sam_BS, Sam_B, Miyeokchwi_SBS, Miyeokchwi_BS, Miyeokchwi_B, Daraesoon_SBS, Daraesoon_BS, Daraesoon_B, Bangpung_SBS, Bangpung_BS and Bangpung_B) by 10 trained panelists. Furthermore, 115 consumers evaluated the overall acceptance (OL), acceptance of appearance (APPL), odor (ODL), flavor (FLL), and texture (TXTL) of the samples using a 9-point hedonic scale; they also rated the perceived intensities of toughness, roughness and moistness using a 9-point just-about-right (JAR) scale. According to the results of the PLSR data, the Sam_SBS sample, which had significantly (p<0.05) high muddiness, moistness, brightness, redness, oily appearance, sesame oil flavor, softness and greasy attribute scores, presented the highest acceptability and consumer desire scores for consumers. On the other hand, the Miyeokchwi_B and Bangpung_B samples, which had relatively high toughness, crispiness, roughness, bitterness and, astringent attributes scores, were the least preferred samples. Therefore, the muddiness, moistness, brightness, oily appearance, sesame oil flavor, softness and greasy attributes were drivers of "liking," whereas toughness, crispiness, roughness, bitterness, astringent attributes acted as drivers of "disliking" for consumers.

• Journal of Preventive Medicine and Public Health
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• 제28권3호
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• pp.623-639
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• 1995

We have never seen any method to cope basically with complicated situation and problems around medical reimbursement rates here in Korea since 1977 witnessed by the beginning of medical insurance. By the way researchers concerned are beginning to propose some kinds of innovative and detailed ideas to government these days. They are Diagnosis-related group(DRG) and Resource-based .elative value scale(RBRVS). In the light of this situation it is so encouraging that our government can come up with that and move. In case of RBRVS research we have already been reaching even to the level of reviewing and revising methodology for its further development after naive pilot study on internal medicine and general surgery last year. However there might be something different conditions between USA and Korea to apply the same Dr. Hsiao's method and it must be vital to check so called' total work approach' compared with 'intra-service work approach' before expanding to the whole medical fields. According to the' Intra-service approach', the physician's work is supposed to be divided into three sub-works by the name of intraservice work, pre, and post service work. These sub-works, again should be merged together to be the pre-postwork subset through some statistical methods of the estimation process applied by Dr. Hsiao's methodology in RBRVS development later on. But in this paper that estimation process was not taken because we could have real values for all of those surveyed items related to just one specialty, OB & GY. Instead, We used some statistical comparison procedures relevant to demographic characteristics, reliability & validity and correlation analysis with American RVU(Relative value unit) between the total work and merged total work from intraservice work approach. The unit of analysis was individual physicians of OB & GY and 300 physicians were selected for each approach through statistical sampling method based on national population of OB & GY physicians in Korea. And also with the thankful help of Advisory Committee under Korean Association of OB & GY, questionnaires were made and mailed to the subjects, two times. As a result there were not any statistically significant differences in demographic characteristics between the two approaches except for the variable 'Response time for the questionnaires', but in other sections of comparisons, response rate, representative values, reliability & validity test, correlation analysis with American RVU, all showed 'Total approach' was not only more rational and statistically meaningful than 'Intra-service approach' but also had considerable merits. But we are not absolutely sure about this paper's robustness. Because of some limitations, we'd rather like to suggest further researches should be followed. In that sense the first thing would be a research for the influence of doctor's characteristics, especially 'frequency' on the rating of work and the way to define total work more clearly.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.225-231
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• 2002

POSCO $\#2$ Stainless steel making plant produces more than 600 thousand ton per year with a variety of products consisting of austenite and ferrite stainless steel to meet custrmers' needs since 1996. The plant has four different major processes, that are, EAF-AOD-VOD-CC to finally produce semi-product called as slab. In this study, we importantly took AOD process into consideration due to its roles such as to check and verify the final qualities through sampling inspection. But the lead-time from sampling to its verification takes five to ten minutes causing produrtivity loss as muck as the lead-time as a result. Of all indices for quality and process control the plant has, carbon ingredient in liquid type of steel is the most important since it affects in a great way to the characteristics of steel, if any problem. customers not satisfied with quality could issue a claim; therefore there is no way hut to guarantee it before delivery. in this study, to reasonably reduce lead-time ran save a cycle time and finally improve our productivity from a state-or-art alternative just such as applying statistical model based on multi-regression analysis into the A.O.D line by analyzing the statistical and technical relationship between carbon and the relevant some vital independent variables. In consequence, the model with R-square $87\%$ allowed the plant to predict, abbreviating the process in relations to sampling to verification. approximately the value of [C] so that operators could run the process line with reliability on data automatically calculated instead of actual inspection. In the future, we are going to do the best to share this type of methodology with other processes, if possible, to apply into them.

• 한국식품영양과학회지
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• 제45권12호
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• pp.1823-1829
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• 2016

본 연구에서는 초콜릿을 현미 식이섬유로 대체한 브라우니를 개발하고자 하였다. 현미 식이섬유를 3, 6, 9, 12%로 대체한 브라우니의 이화학적 및 관능적 품질 특성을 조사하였다. 반죽의 비중은 대조군과 대체군 사이에 유의적인 차이가 없었다(P>0.05). 점도는 3% 대체군에서 가장 낮게 나타났으며, 첨가량이 증가할수록 유의적으로 증가하였다(P<0.05). 수분함량과 수분활성도는 6% 대체군이 가장 높게 나타났다. 비용적은 대조군이 0.98 mL/g으로 유의적으로 가장 높게 나타났으며(P<0.05), 6~12% 대체군 간에는 유의적인 차이가 나타나지 않았다(P>0.05). pH는 대조군이 가장 높게 나타났고, 현미 식이섬유 첨가량이 증가할수록 유의적으로 감소하였다(P<0.05). 명도는 6% 대체군이 25.31로 가장 높게 나타났고, 적색도와 황색도는 현미 식이섬유 첨가량이 증가할수록 유의적으로 증가하였다(P<0.05). 브라우니의 경도는 첨가량이 증가할수록 유의적으로 증가하였고(P<0.05), 부서짐성은 대조군과 6, 12% 대체군이 유의적인 차이가 없었다(P>0.05). 씹힘성은 12% 대체군이 가장 높게 나타났으며, 첨가량이 증가할수록 유의적으로 증가하였고, 복원성은 대조군과 대체군 간에 유의적인 차이가 없었다(P>0.05). 소비자 기호도 검사 결과 색상은 대조군과 대체군 간에 유의적인 차이는 없었고, 향미는 대조군이 6.71로 가장 높게 나타났으며, 현미 식이섬유 첨가량이 증가할수록 유의적으로 감소하였다(P<0.05). 부드러움은 12% 대체군이 가장 낮았으며, 종합적인 기호도는 대조군이 가장 높았고, 현미 식이섬유 분말의 첨가량이 증가할수록 유의적으로 감소하였다(P<0.05). CATA를 실시한 결과 빈도분석에서는 현미 식이섬유 첨가량이 증가할수록 밀기울냄새, 기름맛, 텁텁함, 콩냄새, 밀가루맛의 빈도수는 증가하였고, 쓴맛, 단맛, 초콜릿맛의 빈도수는 감소하였다. 주성분 분석결과 12% 첨가군에서 텁텁함, 기름맛, 콩 냄새의 특성이 강하게 발현되었고, 이와 반대로 대조군은 단맛과 쓴맛이 강한 것으로 분석되었다. 이상의 결과에서 현미 식이섬유를 대체한 브라우니 제조 시 3~6%로 대체하는 것이 적절할 것으로 사료되었다.

• 대한조선학회논문집
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• 제54권6호
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• pp.476-484
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• 2017

The purpose of this paper is to verify the structural integrity of a region with numerous penetration-holes in offshore structures such as semi-submersible rig and FPSO. In order to effectively check the yielding and buckling strength of plate members with penetration-holes, a screening analysis program was developed with the FE analysis tool to generate fine meshed model using the theoretical and analysis methods. When a hole is appeared in the plate structure members, the flow of stress is altered such that concentrations of stress form near the hole. Stress concentrations are of concern during both preliminary and detail design and need to be addressed from the perspectives of strength. To configure the geometrical shape, very fine meshed FE analysis is needed as the most accurate method. However, this method is practically impossible to apply for the strength verifications for all perforated plates. In this paper, screening analysis method was introduced to reduce analysis tasks prior to detailed FE analysis. This method is applied to not only the peak stress calculation combined stress concentration factor with nominal stress but also nominal equivalent stress calculation considering cutout effects. The areas investigated by very fine meshed analysis were to be chosen through screening analysis without any reinforcements for penetration-holes. If screening analysis results did not satisfy the acceptance criteria, direct FE analysis method as the 2nd step approach were applied with one of the coarse meshed model considering hole or with the very fine meshed model considering the hole shape and size. In order to effectively perform the local fine meshed analysis, automatic model generating program was developed based on the MSC/PATRAN which is pre-post FE analysis program. Buckling strength was also evaluated by Common Structure Rule (CSR) adopted by IACS as the stress obtained from very fine meshed FE analysis. Due to development of the screening analysis program and automatic FE modeling program, it was able to reduce the design periods and structural analysis costs.

• 유통과학연구
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• 제12권4호
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• pp.47-54
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• 2014

Purpose - The postponement strategy, which delays the form, place, and production of products as late as possible, has been widely considered as a competitive supply chain management scheme in an era of mass customization and modular manufacturing. An interesting business phenomenon is that not all manufacturing/logistics firms choose the postponement strategy. Given that postponement is a counter-measure to speculation, which has some advantages under certain environments, the current imprudent inclination toward the postponement strategy may cause firms to lose the potential of the speculation strategy, an alternative strategy in supply chain management. Building on the logistics and manufacturing literature, this study examines characteristics of two contrasting strategies, postponement and speculation, and major factors favoring each strategy. Research design, data, and methodology - We apply the profiling approach to two business cases, HP printer and LG mobile phone. The profiling approach is a method of choosing a particular strategy aligned with environmental factors. While various approaches have been used to check the fit between a business strategy and environmental factors, the literature on manufacturing strategy and logistics has commonly adopted the profiling approach. Major factors used in profiling variables are derived from the literature. Two samples, HP printer and LG mobile phone, are selected, because they represent major characteristics appropriate for each strategy. The profiling is based on data from semi-organized interviews with managers. Results - The profiling approach shows that the postponement strategy is a suitable one for HP printers. Most factors, such as product life cycle, large production volume, low-price, product value, and monetary density, support delaying end products until as late as possible. Despite some exceptions, such as delivery time and economy of scale, our analysis states that the overall profile of HP printer is favorable for the postponement strategy. On the other hand, LG mobile phone may adapt the speculation strategy. Although it has large production volume and low delivery frequency, most characteristics support the speculation strategy for this product. An interesting finding is that, despite common perception that advanced technology products such as mobile telephones favor the postponement strategy, profiling proposes the speculation strategy for this product. Conclusions - Our analysis shows that speculation is not the universal option for supply chain management, and that, when choosing a specific strategy, one should consider many factors simultaneously. A major implication of our work is to emphasize the role of environmental factors such as supply chain variables in choosing an inventory strategy, and the importance of fit rather than solely strategic orientation. A theoretical contribution is to demonstrate the benefit of the simultaneous consideration of business variables in choosing specific strategies. For practitioners, our work leads us to consider the existence and the potential of speculation as a counter-measure to postponement. In addition, the comprehensive framework in this research may be instantly used in examining a practical strategy.

• 지능정보연구
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• 제23권3호
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• pp.1-27
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• 2017

경제주체들의 경기상황에 대한 판단 및 전망은 경기변동에 영향을 미치므로 경기심리지수와 거시경제지표들 간에는 밀접한 관련성을 나타내는 것으로 알려져 있다. 경기선행지표로 국내에서 많이 사용되는 경기심리지수에는 소비자동향조사, 기업경기조사, 경제심리지수가 있다. 그러나 설문조사를 통해 생성된 지수는 자료의 성격상 속보성이 떨어지는 문제가 있다. 본 연구에서는 이러한 정형데이터의 한계를 보완할 수 있도록 비정형데이터에서 정보를 추출해 경기심리지수를 생성하고, 경제분석에서의 활용 가능성을 검토하였다. 민간소비와 관련된 실물지표에는 소매판매업지수와 서비스업생산지수를 사용하였고, 고용지표에는 고용률과 실업률을, 가격지표에는 소비자물가상승률과 가계의 대출금리를 사용하여 지표들 간의 추이 분석 및 시차구조 파악을 위한 교차상관분석을 수행하였다. 마지막으로 이들 지표들에 대한 예측 가능성을 점검하였다. 분석결과, 다른 지표들의 선행지수로 많이 사용되는 소비자심리지수와 비교해 선택 지표들과 높은 상관관계를 보이며, 1~2개월 선행한 것으로 나타났다. 예측력 또한 향상되어 텍스트데이터에서 생성한 소비자 경기심리지수의 유용성이 확인되었다. 온라인에서 생성되는 뉴스기사나 소셜 SNS 등의 텍스트 데이터는 속보성이 뛰어나고, 커버리지가 넓어 특정 경제적 이슈가 발생할 경우 이것이 경제에 미치는 영향을 빠르게 파악할 수 있다는 점에서 경기판단지표로써의 잠재적 가능성이 클 것으로 보인다. 경제분석에서 비정형데이터를 활용한 국내연구는 초기 단계지만 데이터의 유용성이 확인되면 그 활용도가 크게 높아질 것으로 기대한다.