• Title/Summary/Keyword: Model efficiency

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Development of Heat Exchanger Production Model Based on the Microlamination Technology and Estimation of its Economic Efficiency (마이크로 적층기술을 이용한 열교환기 생산모델 개발과 경제성 평가)

  • Ryuh, Beom-Sahng;Kim, Jae-Hee;Park, Sang-Min
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.3
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    • pp.97-103
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    • 2006
  • The development of a heat exchanger production model based on the microlamination technology and it's economic efficiency is addressed. A microchannel production model is proposed for the high-volume production. The microlamination system is made up of lamina patterning, laminae sorting and laminae bonding. A cost estimation model is developed based on the hewn cycle time and capital equipment costs. An economic efficiency analysis is performed to determine the cost drivers under the different market and product scenarios. The result of the economic efficiency analysis indicated that the device size and the production rate have a great effect on the overall manufacturing cost of microlamination devices. And it can be concluded that the microlamination should focus on bonding larger laminae and reducing both cycle time and warpage.

The Efficiency Assessment of the Iron Ore Brands Using DEA-AR Model in an Integrated Steel Mill (DEA-AR 모형을 이용한 일관제철소 철광석 브랜드별 효율성 평가)

  • Seong, Deokhyun;Byeon, Gwuiwon
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.255-265
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    • 2013
  • This paper proposes a DEA-AR model for the efficiency evaluation of the iron ore brands in an integrated steel mill. The input factor is defined as unit cost of each brand based on CIF and two output factors are chosen as Fe and Al which are the important ingredients of iron ore. The relative importance between two output factors is determined by several experts using AHP model. The efficiency of each brand is determined using DEA and DEA-AR models. The negative correlation between the DEA-AR efficiency and the unit cost (CIF) is shown as significant whereas no significant correlation exist between the efficiency and the output factors. Also, the Kruskal Wallis rank sum test shows that there exist efficiency differences among the iron ore types whereas no difference is shown among the countries. The result could be utilized in selecting good brands of iron ores based on the DEA-AR efficiency in an integrated steel mill.

Characteristics of transmission efficiency in power driveline of agricultural tractors

  • I. H. Ryu;Kim, D. C.;Kim, K. U.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.132-138
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    • 2000
  • Complex gear shifting and high speed-reduction ratio reduce the transmission efficiency in power driveline of agricultural tractors. According to a field test, the power transmission efficiency of a tractor in transporting operations was estimated about 70%. However, the actual efficiency was found by the experiment to fluctuate in a range of 56 to 87%. Therefore, the constant efficiency model commonly used for a simulation of power drivelines is not likely to simulate its performance more accurately. In order to predict power transmission efficiency more accurately, a new model was proposed and the new concepts of the maximum efficiency and sticking torque were introduced. The error mean between the measured and the predicted efficiencies was about 2.3% in mean. The new model reflecting the transmission characteristics in the power driveline of tractors could be used to analyze and predict the power transmission performance of tractors more accurately.

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A Study on the Measurement of Service Efficiency using DEA - Focused on the SQI of Five Domestic Banks in Korea - (DEA를 이용한 서비스효율성 측정에 관한 연구 - 국내 5개 시중은행의 서비스품질지수를 중심으로 -)

  • Kim, Jin-Wang;Yoo, Han-Joo;Song, Gwang-Suk
    • Journal of Korean Society for Quality Management
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    • v.37 no.1
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    • pp.80-90
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    • 2009
  • Nowadays, there are many companies which employ the SQI measurement to assess service quality. The purpose of this study is to measure the service efficiency for Bank Industry. In this paper, we tried to measure the efficiency of service quality and overall customer satisfaction by using Data Envelopment Analysis(DEA). Rather than using the usual method of converting the Service Quality Index(SQI) into mean value, we applied CCR/BCC models in DEA to service quality efficiency. Also, DEA/PS Model is recommended as appropriate model for evaluating service efficiency by complementing the shortfalls of the weighted value of DEA Model. In this study, six dimensions of service quality were considered as input variables and output variables(overall customer satisfaction, reusing intention, and word of mouth). The result of this study statistically verifies that 5 DMUs are relatively efficient, and intensive activities for service efficiency are needed for 20 sample branches. Managerial implications based on the analysis were suggested.

A Study on Association Rule and Cost Efficiency Analysis Model Using Construction Supervision Reports (건축공사감리 문서 기반 연관규칙 및 비용효율성 분석 모델)

  • Song, Tae-Geun;Yoo, Wi Sung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.389-390
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    • 2023
  • To improve the cost performance of construction sites, various systems and standards are constantly being developed and implemented. Although legal requirements for these system and standard improvements have been increasing, the cost efficiency performance of construction sites remains stagnant. We have digitized documents generated through construction supervision work at 39 building construction sites and proposed a model that can support decision-making in cost efficiency evaluation. This model selects key keywords that are considered to be highly related to cost efficiency by identifying the patterns and relationships of keywords through associated rule analysis and social network analysis using keywords derived from documents. In addition, it is expected to be used as a decision-making aid to determine the cost efficiency of a specific building construction site by establishing a logistic regression model using core keywords. As a systematic database of construction supervision documents and an integrated system of massive data generated by digital technology are established in the future, the accuracy and reliability of the cost efficiency evaluation model are expected to be reinforced.

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Efficiency Analysis of Specialists by Medical Specialty using Activity-Based Costing Data: Using the DEA-CCR model and SBM model (활동기준 원가 자료를 활용한 과별 전문의의 효율성 분석 : DEA-CCR 모형과 SBM 모형을 이용)

  • Do Won Kim;Tae Hyun Kim
    • Korea Journal of Hospital Management
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    • v.28 no.2
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    • pp.44-65
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    • 2023
  • Purposes: As super-aging population and low fertility rates are threatening the sustainability of the National Health Insurance funds, enhancing the efficiency of hospital management is paramount. In the past, studies analyzing the efficiencies of hospitals primarily made inter-hospital comparisons, but it is important to assess hospitals' internal efficiency and develop improvement measures in order to attain practical improvements in hospital efficiencies. The purpose of this study is to analyze the efficiencies of specialists by medical specialty in a hospital in order to provide foundational data for efficient hospital management. Methodology/Approach: We used the activity-based costing (ABC) data and hospital statistical data from one tertiary hospital in Seoul to analyze the efficiency of specialists by medical specialty. Efficiency was analyzed and compared among specialists using the data envelopment analysis developed by Charnes, Cooper, and Rhodes (DEA-CCR) model and the slacks-based measure (SBM) models. The input variables were labor cost, material cost, and operational expenses, and the output variables were the number of outpatients, number of inpatients, outpatient revenue, and inpatient revenue. Findings: First, there was a marked deviation in efficiency across specialists. Second, there was a marked deviation in efficiency across medical specialties. Third, there was little difference in efficiency according to the specialist's sex, age, and job position. Fourth, the SBM model produced more conservative results and better explained efficiency parameters than the CCR model. Practical Implications: The efficiency of a specialist was more influenced by their medical specialty than their personal characteristics, namely sex, age, and job position. Therefore, Further research is needed to analyze the efficiencies of each subspecialty and identify factors that contribute to the variations in efficiencies across medical specialties, such as clinical practices and fee structures.

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An Analysis of Spatial Differences in the Efficiency of Regional Industrial Enterprises in China

  • Qingsong Pang;Yanan Sun;Sangwook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.263-271
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    • 2024
  • This paper analysis of spatial differences in the efficiency of regional industrial enterprises in China from 2011 to 2021. The efficiency analysis uses the DEA-CCR model. The input variables for efficiency analysis are total assets and annual average employees, and the output variables are revenue from principal business and total profits. Using trend surface analysis and gravity center model, to analysis the spatial differences of efficiency in different regions. From the results of the gravity center model, the coordinates of the gravity center of China's regional industrial enterprise efficiency in 2011 are 112.303°E & 34.239°N, and 2021 are 111.753°E & 33.791°N, which indicates that the gravity center of the efficiency of China's regional industrial enterprises in the 2011-2021 period generally moves to the southwest. From the results of the trend surface analysis, the efficiency of industrial enterprises in China's regional industrial enterprises appears to show spatial differences in both the eastwest and the northsouth directions.

A Note on Asymptotic Relative Efficiency of the Nonparametric Reliability Estimation for the Proportional Hazards Model

  • Cha, Young-Joon;Lee, Jae-Man;Cho, Gyo-Young
    • Journal of the Korean Data and Information Science Society
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    • v.9 no.2
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    • pp.173-177
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    • 1998
  • This paper presents the asymptotic relative efficiency of the nonparametric estimator relative to the parametric maximum likelihood estimator of the reliability function under the proportional hazards model of random censorship. Also we examine the efficiency loss due to censoring proportions and misson times.

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The Impact of Innovation Activities on Firm Efficiency: Data Envelopment Analysis

  • PHAM, Tien Phat;QUDDUS, Abdul
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.895-904
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    • 2021
  • This study aims to investigate the impact of innovation on firm efficiency. Panel data of fourteen finance companies and nine technology companies from 2011 to 2019 on the Vietnam Stock Exchange Market is derived from audited financial statements, annual reports, and other crucial reports that are provided by Vietstock; macroeconomic variables are collected from the World Bank Database. A two-stage approach is used. First, use of the Data Envelopment Analysis methodology to measure firm efficiency. Second, use of the Pooled ordinary least squares, the Fixed effects model, and the Random effects model to investigate the impact of innovation on firm efficiency. Furthermore, the Generalized Method of Moments and the Tobit model are used to validate the impact of innovation on firm efficiency, and the t-test is used to confirm the difference in efficiency with and without the impact of innovation between two industries. The results show that there is a significant impact of innovation on efficiency, and innovation plays a more important in increasing the efficiency of the finance industry than the technology industry. Moreover, the relation between age and efficiency is like the U-shaped, and between size and efficiency is like the inverted U-shaped, whereas efficiency is not associated with inflation.

On Multipurpose Replacement Policies for the General Failure Model

  • Cha, Ji-Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.2
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    • pp.393-403
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    • 2003
  • In this paper, various replacement policies for the general failure model are considered. There are two types of failure in the general failure model. One is Type I failure (minor failure) which can be removed by a minimal repair and the other is Type II failure (catastrophic failure) which can be removed only by a complete repair. In this model, when the unit fails at its age t, Type I failure occurs with probability 1-p(t) and Type II failure occurs with probability p(t), $0{\leq}p(t){\leq}1$. Under the model, optimal replacement policies for the long-run average cost rate and the limiting efficiency are considered. Also taking the cost and the efficiency into consideration at the same time, the properties of the optimal policies under the Cost-Priority-Criterion and the Efficiency-Priority-Criterion are obtained.

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