• Title/Summary/Keyword: Performance Measure Index

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A Study on the Factors of Managerial Performance in General Hospitals (병원특성 변수에 경영성과 판별력에 관한 연구 : 우리나라 종합병원을 중심으로)

  • 류규수
    • Health Policy and Management
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    • v.5 no.1
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    • pp.132-160
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    • 1995
  • This study purported to acquire information necessary to improve the management of general hospitals. It tried to determine major indices which represent managerial performance of general hospitals and to identify the managerial characteristics of general hospitals which affect the major financial indices. Eighty-eight hospitals were chosen from 188 hospitals which were subject to standardization audit by the Korean Hospital Association. The results of a discriminant analysis are summarized as followings. First, when a single index was used to measure managerial performance of the sample hospitals, the ration of net profit to total capital was the best index and its discriminant power was 58.14%. The ratio of the number of boardmen((M. D.) and average daily medical cost were highly related to this index. Second, when two indices were used, income growth rte and the ration of net profit to total capital had the highest discriminant distinction ability. Their discriminant power was 61.9%. In this case, the ratio of the number of boardmen(M. D.) was significantly and highly related to the indices. Third, when all three indices-income growth rate, the ration of net profit to total capital and quick ratio - were used together, a discriminant function was statistically insignificant. Therefore, using all three indices was not useful in measuring managerial performance of the sample hospitals. In conclusion, using two indices-income growth rate and the ration of net profit to total capital-was better in measuring manegerial performance of general hospitals than using a single index. The independent variable which affected these indices was the ration of the number of boardmen. The discriminant function was : $D_{GI}=2.77+4.832\times(the ratio of the number of boardmen)$ *G=growth index(income growth rate) *I=profit index(the ration of net profit to total capital)

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Flexible Process Performance Measures by Quadratic Loss Function (이차손실함수를 이용한 유동적인 공정수행척도)

  • 정영배
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.36
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    • pp.275-285
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    • 1995
  • In recent years there has been increasing interest in the issue of process centering in manufacturing process, The traditional process capability indices Cp, Cpk and Cpu are used to provide measure of process performance, but these indices do not represent the issue of process centering. A new measure of the process capability index Cpm is proposed that takes into account the proximity to the target value as well as the process variation when assessing process performance. However, Cpm only considers acceptance cost for deviation from target value within specification limits, do not includes economic consideration for rejected items. This paper proposes flexible process performance measures that considered quadratic loss function caused by quality deviation within specification limits, rejection cost associated with the disposition of rejected items, and inspection cost. In this model disposition of rejected items are considered under perfect corrective procedures and the absence of perfect corrective procedures.

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Design of the Well-Conditioned Observer Using the Non-Normality Measure (비정규지표를 이용한 Well-Conditioned 관측기 설계)

  • Jung, Jong-Chul;Huh, Kun-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.6
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    • pp.1114-1119
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    • 2002
  • In this paper, the well-conditioned observer is designed to be insensitive to the ill-conditioning factors in transient and steady-state observer performance. A condition number based on 12-norm of the eigenvector matrix of the observer matrix has been proposed on a principal index in the observer performance. For the well-conditioned observer design, the non-normality measure and the observability condition of the observer matrix are utilized. The two constraints are specified into observer gain boundary region that guarantees a small condition number and a stable observer. The observer gain selected in this region guarantees a well-conditioned and observable property. In this study, this method is applied to the Luenberger observer and Kalman filters for small order systems. In designing Kalman filters, the ratio of the process noise covariance to the measurement noise covariance is a design parameter and its effect on the condition number is investigated.

Design of the Well-Conditioned Observer Using the Non-normality Measure (비정규지표를 이용한 Well-Conditioned 관측기 설계)

  • 정종철;허건수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.10a
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    • pp.313-318
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    • 2001
  • In this paper, the well-conditioned observer is designed to be insensitive to the ill-conditioning factors in transient and steady-state observer performance. A condition number based on $L_2-norm$ of the eigenvector matrix of the observer matrix has been proposed on a principal index in the observer performance. For the well-conditioned observer design, the non-normality measure and the observability condition of the observer matrix are utilized. The two constraints are specified into observer gain boundary region that guarantees a small condition number and a stable observer. The observer gain selected in this region guarantees a well-conditioned and observable property. In this study, this method is applied to the Luenberger observer and Kalman filters. In designing Kalman filters for small order systems, the ratio of the process noise covariance to the measurement noise covariance is a design parameter and its effect on the condition number is investigated.

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Calculating the h-index and Its Variants Considering the Number of Authors in a Paper (공저자 수를 고려한 h-지수 산출)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.7-29
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    • 2016
  • The h-index is a popular bibliometric indicator for evaluating individual researchers. However, it has been criticized for its inconsistency with reflecting increased number of citations and disregarding the number of co-authors in a paper. In order to overcome these problems, we examined the g-index and other Hirsch-type indices considering the number of co-authors. Test data collection was extracted from Korean Citation Index database published from 2004 to 2013. The results of this study are as follows: First, g-index is more reliable indicator than h-index with consistency. Second, number of co-authors must be considered to maintain the h-index as an complex indicator applying the quality and the quantity of research performance. Finally, hc-index and gc-index, with fractionalised counting of the papers, can fairly measure the research performance of humanities researchers, and successfully prevent specific disciplines or institutions occupying majority of top rankings.

Interpretability Comparison of Popular Decision Tree Algorithms (대표적인 의사결정나무 알고리즘의 해석력 비교)

  • Hong, Jung-Sik;Hwang, Geun-Seong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.2
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    • pp.15-23
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    • 2021
  • Most of the open-source decision tree algorithms are based on three splitting criteria (Entropy, Gini Index, and Gain Ratio). Therefore, the advantages and disadvantages of these three popular algorithms need to be studied more thoroughly. Comparisons of the three algorithms were mainly performed with respect to the predictive performance. In this work, we conducted a comparative experiment on the splitting criteria of three decision trees, focusing on their interpretability. Depth, homogeneity, coverage, lift, and stability were used as indicators for measuring interpretability. To measure the stability of decision trees, we present a measure of the stability of the root node and the stability of the dominating rules based on a measure of the similarity of trees. Based on 10 data collected from UCI and Kaggle, we compare the interpretability of DT (Decision Tree) algorithms based on three splitting criteria. The results show that the GR (Gain Ratio) branch-based DT algorithm performs well in terms of lift and homogeneity, while the GINI (Gini Index) and ENT (Entropy) branch-based DT algorithms performs well in terms of coverage. With respect to stability, considering both the similarity of the dominating rule or the similarity of the root node, the DT algorithm according to the ENT splitting criterion shows the best results.

Reliability-Based Topology Optimization Based on Bidirectional Evolutionary Structural Optimization (양방향 진화적 구조최적화를 이용한 신뢰성기반 위상최적화)

  • Yu, Jin-Shik;Kim, Sang-Rak;Park, Jae-Yong;Han, Seog-Young
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.4
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    • pp.529-538
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    • 2010
  • This paper presents a reliability-based topology optimization (RBTO) based on bidirectional evolutionary structural optimization (BESO). In design of a structure, uncertain conditions such as material property, operational load and dimensional variation should be considered. Deterministic topology optimization (DTO) is performed without considering the uncertainties related to the design variables. However, the RBTO can consider the uncertainty variables because it can deal with the probabilistic constraints. The reliability index approach (RIA) and the performance measure approach (PMA) are adopted to evaluate the probabilistic constraints in this study. In order to apply the BESO to the RBTO, sensitivity number for each element is defined as the change in the reliability index of the structure due to removal of each element. Smoothing scheme is also used to eliminate checkerboard patterns in topology optimization. The limit state indicates the margin of safety between the resistance (constraints) and the load of structures. The limit State function expresses to evaluate reliability index from finite element analysis. Numerical examples are presented to compare each optimal topology obtained from RBTO and DTO each other. It is verified that the RBTO based on BESO can be effectively performed from the results.

Influencing factors on happiness index in clinical dental hygienists (임상치과위생사의 행복지수에 영향을 미치는 요인)

  • Min, Hee-Hong
    • Journal of Korean society of Dental Hygiene
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    • v.15 no.1
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    • pp.1-9
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    • 2015
  • Objectives: The purpose of this study is to investigate the use of happiness index in dental hygienists. This study can be used to improve the quality of life and the turnover intention in the dental hygienists. Methods: The subjects were 281 dental hygienists in Seoul, Gyeonggi-do, and Chungcheong province. A self-reported questionnaire was completed by the subjects. The questionnaire consisted of 7 questions of general characteristics of the subjects, 7 questions of dental hygiene performance, and 9 questions of happiness index. The instrument for happiness index was modified from Suh and Koo. Cronbach's alpha was 0.850 in the happiness index measure by Likert 7 scale. The instrument for professionalism was modified from Baek and consisted of 25 questions measure by Likert 5 scale. Cronbach's alpha was 0.694 in the professionalism. The instrument for turnover intention was modified from Lee and consisted of 5 questions measured by Likert 5 scale. Cronbach's alpha was 0.712 in turnover intention. Data were analyzed using SPSS 18.0. for one way ANOVA, Duncan posthoc test, Pearson correlation coefficients and hierarchical regression. Results: The means of happiness index, professionalism and turnover intention of subjects were 4.44, 3.06 and 3.05, respectively. The happiness index was higher in those who are married(4.66), those who have high income, and those who have careers in dental hygienists(4.61). There were significant differences in the happiness index by the average daily working hours, place of treatment, work intensity and off duty hours. Conclusions: This study suggests that improvement of the happiness index in clinical dental hygienists requires the continuing and systematic education program and administrative support that can reduce the turnover intention.

Rising Open Misery Index of the USA - A Precursor of Economic Crisis - (미국 개방 미저리 지수의 증가추세 - 경제위기의 전조 -)

  • Cheong, Ki-Woong;Kim, Jeongsook;Lee, Sanghack
    • International Area Studies Review
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    • v.13 no.1
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    • pp.39-51
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    • 2009
  • The misery index is the sum of the inflation rate and the unemployment rate. The higher the index, the lower the performance of the national economy. Lee and Cheong (2007) propose that the open misery index, defined to be the sum of the misery index and the ratio of current account to GDP, properly measure the economic performance of a national economy when its degree of openness is large. This paper shows that the periods of rising open misery index of the USA coincide with those of economic hardship in the USA. Most recently, the open misery index of the USA has shown a rising trend for a decade prior to the current economic crisis. That is, external and internal imbalances of the USA have accumulated for a decade prior to the current economic crisis. We interpret the recent rising trend of the open misery index of the USA as a precursor of the current economic crisis.

GOOD 2.0 : a Geographical Data Manager using Spatial indices (GOOD 2.0 : 공간 인덱스를 사용한 지리 데이타 관리기)

  • Oh, Byoung-Woo;Han, Ki-Joon
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.2 s.6
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    • pp.137-149
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    • 1995
  • A spatial index is necessary to support an efficient search in a geographical information system (GIS) that is important in these days. In this paper, we design and implement a geographical data manager, called GOOD (Geo-object Oriented Data Manager) 2.0, by extending GOOD 1.0 with a spatial index processing module. That is, R-tree and R*-tree are used as a spatial index in this paper to make an efficient search possible. In addition, this paper conducts a performance evaluation to measure the improvement in search efficiency and analyzes the results of the performance evaluation. When the performance evaluation is carried out, we consider various environment factors to allow an GIS administrator to use the results as a basic data in selecting an appropriate spatial index.

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