• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2012.10a
• /
• pp.109-111
• /
• 2012

한-EU FTA 발효 등은 교역 확대가 예상되며, 항만의 역할은 더욱더 중요해 질 것이다. 항만의 성과를 측정할 수 있는 방안으로 DEA를 활용한 효율성 측정을 들 수 있으며, 본 연구에서는 DEA 측정 시 모형 선정의 어려움과 동태적 효율성을 변화를 분석하기 위해 DEA와 Shannon's Entropy 결합모형으로 효율성을 분석하고, DEA-Window 모형으로 동태적 효율변화를 분석하였다.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
• /
• 2003.10a
• /
• pp.138-139
• /
• 2003

국민생활 수준의 향상과 더불어 배의 생산은 꾸준한 증가추세를 보이고 있고 2010년까지 계속 증가될 전망이다. 한편 재배기술에 의한 미숙, 태풍에 의한 낙과, 수확 후 저장중 손상으로 약 15%의 배가 유실된다. 이러한 상품성이 낮은 배의 효율적인 활용 방안을 모색하기 위한 일환으로 배를 기능성식품 소재로 이용하고자 배의 페놀성물질 추출효율을 알아보기 위하여 추출용매와 농도에 따른 추출율을 비교하였다. 신고배 과피를 신선시료, 열풍건조시료와 동결건조시료 3가지 상태로 하여 methanol, ethanol, acetone과 물 추출물을 Folin-Denis법으로 총페놀성물질의 함량을 측정하여 비교하였다. 시료의 상태에 따라 추출효율에 약간의 차이를 볼 수 있었는데 신선시료에서 모든 농도범위에서 아세톤의 추출효율이 가장 높았고 메탄올, 에탄올과 아세톤 3용매에서 모두 60∼80% 농도범위에서 높은 추출효율을 보였다. 그리하여 3가지 용매에서의 최적추출농도를 알아보고자 60∼80% 범위내에서 5%농도 간격으로 페놀성물질을 추출하여 그 함량을 측정하였다. 결과 메탄올에서는 70%와 75%에서, 에탄올에서는 70%에서, 아세톤에서는 65％, 70%, 75%에서 유의적으로 높은 함량을 나타내었다. 따라서 신선시료에서 메탄올, 에탄올과 아세톤으로 페놀성물질 추출 시 약 70% 농도로 추출하는 것이 가장 효율적이라고 판단된다. 또한 물 추출은 가장 낮은 효율을 보였다. 열풍건조시료에 대한 각용매의 농도별 추출효율은 아세톤의 농도가 높을수록 추출효율이 떨어졌고 특히 무수 아세톤에서는 그 효율이 물 추출효율보다 더 낮게 나타났다. 20∼80% 범위에서 아세톤의 추출효율이 가장 높았고 다음은 에탄올, 메탄을 순이었다. 아세톤은 40∼60% 범위에서, 에탄올은 60∼80% 범위에서, 메탄올은 60∼99% 범위에서 높은 추출효율을 보여 각각 이 농도범위에서 다시 총함량을 측정하였다. 결과 각농도에 따른 추출함량에 유의적인 차이를 나타내지 않았다. 동결건조시료에서 아세톤에 의한 추출효율은 열풍건조시료에서와 비슷한 결과를 보였고 또한 20∼80% 농도범위에서 메탄올의 추출효율이 가장 낮았고 다음은 에탄올, 아세톤의 순으로 높았다. 물 추출효율은 20% 메탄을 추출효율과 비슷한 수준이었다. 메탄올에서는 60∼80%, 에탄올과 아세톤에서는 40∼60% 범위에서 높은 추출효율을 보였다. 마찬가지로 이 농도범위에서 최적의 추출농도를 확인하고자 각 용매와 농도별로 페놀성물질을 추출하여 그 함량을 측정한 결과 메탄올에서는 5% 농도차이가 그 추출효율에 유의적인 영향을 주지 않는 것으로 나타났다. 에탄올에서는 40%에서 가장 높은 함량이 측정되었고 아세톤에서는 50%에서 측정되었다. 따라서 시료의 상태와 상관없이 배 과피의 페놀성물질 추출용매로는 40∼70%의 함수 아세톤이 적합한 것으로 사료된다.

• Plant Journal
• /
• v.17 no.1
• /
• pp.50-57
• /
• 2021

It is very difficult to accurately calculate efficiency of each accessory device constituting the pump system and pump efficiency by the Conventional efficiency measurement method only. Therefore, this study introduced the lastest Thermodynamic pump efficiency measurement method in the district heating pump system for the first time in Korea. As a result, data uncertainty was high by the Conventional method, but the pump and Hydraulic Coupling efficiency values applied the Thermodynamic and Conventional method parallel measurement data were able to derive meaningful results that verified the reliability and adequancy of the pump performance measurement method by performing complementary roles. In additon, as a result of applying the Thermodynamic method to the distirct heating pump system, despite the high temperature environment of up to 120 ℃, it was possible to verify the reliability of the Thermodynamic method, such as high stable data mesurement, and durability of the measurement equipment.

• Journal of Korea Port Economic Association
• /
• v.23 no.2
• /
• pp.109-120
• /
• 2007

The purpose of this paper is to verify the two problems(normalization for the different inputs and outputs data, translation invariant for the negative data) which will be occurred in measuring the seaport DEA(data envelopment analysis) efficiency. The main result is as follow: Normalization and translation invariant in the BCC model for measuring the seaport efficiency by using 26 Korean seaport data in 1995 with two inputs(berthing capacity, cargo handling capacity) and three outputs(import cargo throughput, export cargo throughput, number of ship calls) was verified. The main policy implication of this paper is that the port management authority should collect the more specific data and publish these data on the inputs and outputs in the seaports with consideration of negative(ex. accident numbers in each seaport) and positive value for analyzing the efficiency by the scholars, because normalization and translation invariant in the data was verified.

• Journal of Navigation and Port Research
• /
• v.32 no.1
• /
• pp.73-80
• /
• 2008

The purpose of this paper is to measure the productive efficiency and competitive strength of Regional Maritime Affairs and Fisheries Office using the DEA. Using EMS(Efficiency Measurement System) which is LP solver, quantifies in one way or another a "distance" to the efficient frontier of the technology. An input oriented measure quantifies the input reduction which is necessary to become efficient holding the output constant. Symmetrically, an output oriented measure quantifies the necessary to become efficient holding the inputs constant. A non-oriented measure quantifies necessary improvements when both inputs and outputs can be improved simultaneously. According to the analysis result of the DEA method, inefficient Regional Maritime Affairs and Fisheries Office should recommend benchmarking reference Regional Maritime Affairs and Fisheries Office in order to enhance the productive efficiency of port administration and a public institution. Besides data on productive efficiency serves as a tool for policy-makers at all levels of activity and is essential for improving the efficiency with which the various systems operate.

• Journal of Korea Port Economic Association
• /
• v.30 no.4
• /
• pp.151-168
• /
• 2014

The purpose of this paper is to show the brief efficiency and clustering measurement way by using the game cross-efficiency model which is newly introduced in this paper for 13 container ports during 3 years(2009, 2010, and 2013) with 3 input variables(depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results are as follows. First, the average rankings of game cross-efficiency model are Ningbo, Hongkong, Shanghai, Dubai, Singapore, Qingdao, Kaosiung, Busan, Tokyo, Incheon, Nagoya, Manila, Gwangyang ports in order. Second, according to ANOVA analysis, three models show the similar results in terms of the efficiency rankings. Third, in the clustering analysis using dendrogram, group A(Shangahi and Busan), group B(Ningbo and Nagoya), and group C(Incheon and Manila) show the common clustering ports during 3 or 2 years. The policy implication of this paper is that Korean port policy planner should introduce the game cross-efficiency method when measuring the individual port efficiency. Also port authority should consider the merits of the clustering ports for improving the port management and operations.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.809-816
• /
• 2002

전통적 재무제표가 기업의 재무적인 성과 측정에만 초점을 맞춘다는 한계를 극복하기 위한 방법으로서 BSC(Balanced Scorecard)가 제시되었다. BSC는 KPI(Key Performance Indicator)들의 상관관계가 명확하고 논리적이라는 장점 때문에 정부 및 기업의 다양한 분야에서 적용되어왔다. 이러한 BSC는 KPI를 통해 측정된 값의 비교에 대한 고려를 하고 있지 않으므로 다수 조직의 성과를 비교하기에 어려움이 있다. 조직의 효율성을 rPfidd적으로 나타내는 여러 기법 중, 경영과학 기법을 이용한 DEA의 경우 다수의 측정 지표를 단일의 통합된 성과 측정 지표 (Aggregate Performance Measure)_로 나타낼 수 있다는 장점이 있으나, DEA에 고려되는 입력 및 출력의 개수에 제한이 있으며 다수 조직의 분석에 사용해야 한다는 단점이 있다. 본 연구에서는, 재무적인 요소와 비재무적인 요소를 포괄하여 조직간의 효율성을 비교하기 위한 벙법으로서, DEA를 이용한 효율성 평가에 조직의 성과측정 기법인 BSC가 제공하는 KPI 간의 노릴적 인과관계(cause-and-effect relationship)와 측정 지표를 이용하는 방법으로 CDB(Combined DEA and BSC methodology)를 제안한다. 이를 위하여 BSC 정보 비교 가능한 형태로 바꾸는 방법을 제시하며, 기존 DEA가 지니는 입력 및 출력 변수 개수의 증가에 따른 효율성의 구분능력의 감소와 관련된 한계를 극복할 수 있는 방법을 제시한다.

• Smart Media Journal
• /
• v.11 no.1
• /
• pp.9-16
• /
• 2022

With the development of online commercializing technology and the growth of online market, it has become extremely important for companies that aim to commercialize their products and services to control time and resources. Even when a single company has control over the entire process, it is necessary to maintain the efficiency among the process of development. In particular, when there is a lot of cooperation throughout the course of development, requiring many parties to communicate with each other, the issue of declining efficiency becomes much clearer. The timing of when to launch a product or service has become just as important as completing and testing them for companies. Companies have developed new tools to prevent situations that may lead to inefficiency in the development process, including an increase in the amount of resource used or issues with security maintenance. However, there is a lack of proper measurement tool that assesses what kind of additional benefits the entire process of the company is bringing, or whether or not the processes need to be improved in certain areas. Thus, this study aims to suggest a method to measure efficiency, to provide an empirical efficiency measurement method for the development process of online content.

• Korean Business Review
• /
• v.14
• /
• pp.169-187
• /
• 2001

In the recent efficiency study became accomplished generally a listed company, the efficiency study of small manufacturing industry is deficient. The purpose of this study analysis efficiency of small manufacturing industry by using the DEA model. DEA model is non-financial approach method to measure relative efficiency by input factors and output. The panel data from 1996 to 1999 are used for the analysis. The relative mean-efficiency can be summarized as follows. The wholesale trade and commission trade manufacturing industry 68.99%, communication equipment manufacturing industry 60.58%, food products and beverages manufacturing industry 91.05%, motor vehicles, trailers and semitrailers manufacturing industry 85.80%, basic metals manufacturing industry 88.96%, pulp, paper and paper products manufacturing industry 96.53%, chemical and chemical products manufacturing industry appeared with 78.67%. The results is expected to provide the empirical evidence useful to enhancing the competitiveness of manufacturing industry in korea.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.12
• /
• pp.8719-8727
• /
• 2015

The purpose of this study is to examine the production efficiency of Rose farm and to explain the factors of the inefficiency. To analysis the production efficiency, SFA(Stochastic Frontier Analysis) and DEA(Data Envelopment Analysis) methods are measured, and then, Tobit regression model is used to analysis the influential factors on the production efficiency. As a result, first, the production efficiency by SFA is 88.4%, and by DEA, results are 78.5% and 85.2% in the CRS and VRS model, respectively. In particular, the production efficiency of the measurement results of the two methods are complementary, it is described in the same order of efficiency of each management body. Second, the results of tobit model shows that 6 input-factors are significant, and seed/nursery and material costs, which have the largest regression coefficient value and positive effect on production efficiency, are the most influential factors. Therefore, the results of this study indicates Rose farm can enhance their management efficiency by increasing amount of the seed/nursery and material costs.