• Survey Research
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• v.10 no.1
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• pp.113-139
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• 2009

It is desirable to use a monthly benchmarked construction indicator which contains the characteristics of statistical data in an annual survey in order to analyze the cyclical phenomenon of the construction activity. The benchmarked indicator is expected to improve the data quality in terms of accuracy, consistency, comparability, and completeness. In this paper, benchmarking methodologies of compiling monthly construction indicators arc researched by using a monthly prompt data holding short - term fluctuations and an annual survey data regarded as more accurate statistics than monthly data. The benchmarking is the methodology by which a high frequency data should he adjusted in order to hold the short-term and cyclical phenomena, and the long - term trend of two data groups with ensuring the consistency of an annual summation between a high frequency data and a low frequency data. This paper considered the numerical approach like pro rata distribution method, proportional Denton method, EFL or HP filter Benchmark - to - Indicator ratio method, and the model - based approach such as Chow and Lin method, $Fem{\acute{a}}ndez$ method. Also, the benchmarked construction indicators were estimated by early mentioned benchmarking methods with practical data, and these methods were empirically reviewed and compared. In case of construction indicators with severe seasonal fluctuations and irregulars, the numerical approach seemed to be performed more correctly than the model- based approach. Among numerical methods, the proportional Denton method used in general was a little nice. The HP filter Benchmark - to - Indicator ratio method may be considered with survey errors or measurement errors in an annual survey data.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.247-249
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• 2007

본 연구의 목적은 DEA를 사용하여 지방해양수산청의 생산효율성과 경쟁력을 측정하고자 하는 것이다. DEA를 사용한 분석 결과에 따라 비효율적 지방해양수산청은 항만행정과 공공기관의 생산 효율성을 강화하기 위하여 수범 지방해양수산청을 벤치마킹할 것이 권고된다. 생산효율성에 관한 자료는 모든 활용영역에서 정책 입안자에게 방법론을 제공하고 다양한 체제에서 운용할 수 있는 기초가 될 것이다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.57-63
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• 2002

The construction market has a major impact on the overall United States economy. Recent statistics estimate the gross domestic product (GDP) of the U.S. construction industry at some $416.4{\$}$ billion dollars, representing approximately $4.5\%$ of the U.S. GDP. Because the business environment in construction is highly competitive, the participants in the industry must improve their performance and processes to survive. Hence, Benchmarking has been generating interest in the construction industry. This paper provides an overview of the CII Benchmarking and Metrics Program. Following some background and a descriptive discussion of the database, an abridged presentation of result of data analysis. The adoption of benchmarking in Korean construction industry can be another opportunity to improve Korean construction industry.

• Journal of Korea Port Economic Association
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• v.25 no.1
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• pp.15-28
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• 2009

The purpose of this paper is to show the empirical extraction way of benchmarking ports for overcoming the shortcoming which the traditional DEA method has by using 20 Korean ports in 2003 for 2 inputs (birthing capacity, cargo handling capacity) and 2 outputs(Export and Import Quantity, Number of Ship Calls). Because DEA method has produced the limited set of efficient units which are reference to inefficient units respective of their differences in efficiency scores, it is necessary to adopt the more feasible benchmarking information according to the path analysis(tier or stratification). The core empirical results of this paper are as follows. Benchmarking ports against inefficient ports according to the tier analysis are that Masan Port(Janghang$\rightarrow$Jeju$\rightarrow$Seogoipo$\rightarrow$Yeosu), Jinhae Port(Janghang$\rightarrow$Mogpo$\rightarrow$Seogoipo$\rightarrow$Wando), Pohang&DonghaePort(Janghang$\rightarrow$Samcheonpo$\rightarrow$Pyungtag$\rightarrow$Samcheog), and Sogcho Port(Janghang$\rightarrow$Mogpo$\rightarrow$Seogoipo$\rightarrow$Wando). The policy implication to the Korean seaports and planners is that Korean seaports should introduce the new methods like Tier analysis of this paper for evaluating the port performance and enhancing the efficiency in short term, mid term, and long term according to the tier 3 stage, the tier 2 stage, and the tier 1 stage with original DEA stage.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.27-37
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• 2011

Presented in this study is a top-down functional modeling procedure and the desired functionalities of energy management system (EMS). For the purpose of top-down modeling for EMS, energy management system is categorized into 7 subsystems based on common functionalities and energy management life cycle. After that, benchmarking analysis of commercially major EMS products is conducted. As a result of this analysis, desired functionalities of each subsystem of EMS are suggested in this study. This study is served as a useful guidance about essential functional requirements of energy management system to the practitioners involved in the development or introduction of EMS.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.13-17
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• 2003

Requirements of a benchmarking for rapid prototyping systems and process usually include manufacturing time, cost (including system price), and dimensional accuracy. This paper deals with a benchmarking comparisons to investigate the functional requirements of RP system. A special designed IMS_T2 test part with dimensional. geometrical, and surface roughness features has been used in the inspection of RP processes. IMS_T2 test part was built on 5 commercially available RP machines which are relatively new model in Korea.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.213-230
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• 2020

Until now, various educational budgets, facilities, and programs have been put into school education, but the results have not been clearly evaluated. This study presents a model to analyze the effectiveness of educational support for students in high schools across the country. In this model, we first use EM cluster analysis to make clusters with similar inputs for school operation, and then calculate the relative efficiency in each cluster by using Network DEA analysis. The Network DEA analysis has a two-stage structure where the first stage uses six inputs in terms of school infrastructure to generate outputs such as the number of academic persistence. In the Network DEA analysis, the second stage uses 10 inputs in terms of school programs to generate outputs such as the number of enrollees to higher learning and the number of employees and per capita usage of library as the connection variable. Based on the efficiency analysis results, Tier analysis is performed by applying the Euclidean distance to select targets for benchmarking. In this study, we applied the model to analyze the efficiency of educational support by collecting data regarding student education support in general and vocational high school nationwide. The stepwise benchmarking method proposed that the target be selected for efficiency improvement step by step, taking into account inefficient school elements to complement the problem of the choice of benchmarking targets. Based on this study, it is expected that schools with low efficiency of educational support for students will be used as basic data for stepwise benchmarking for efficient operation of educational support for students.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.397-406
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• 2011

This paper analyzes the efficiency of Korean Financial Investment Institution using DEA model. We evaluate the CCR, BCC efficiency and RTS of 30 Financial Investment Institution. We also suggest the Financial Investment Institution which can be benchmarked based on analyzed information. The result shows that 3 Institution whose values of CCR efficiency are 1, and 7 Institution whose values of BCC efficiency are 1. RTS indicates IRS of 21 Investments, DRS of 6 Investments and CRS of 3 Investments.

• Agrochemical news magazine
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• v.20 no.5 s.152
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• pp.52-55
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• 1999

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.198-208
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• 2021

ArangoDB is a NoSQL database system that has been popularly utilized in many applications for storing large amounts of data. In order to apply a new NoSQL database system such as ArangoDB, to real work environments we need a benchmarking system that can evaluate its performance. In this paper, we design and implement a ArangoDB based benchmarking system that measures a kernel level performance well as an application level performance. We partially modify YCSB to measure the performance of a NoSQL database system in the cluster environment. We also define three real-world workload types by analyzing the existing materials. We prove the feasibility of the proposed system through the benchmarking of three workload types. We derive available workloads in ArangoDB and show that performance at the kernel layer as well as the application layer can be visualized through benchmarking of three workload types. It is expected that applicability and risk reviews will be possible through benchmarking of this system in environments that need to transfer data from the existing database engine to ArangoDB.