• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.303-313
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• 2010

The purpose of this study is to evaluate the performance efficiency and productivity change of the regional public hospital in Korea. We use DEA(Data Envelopment Analysis) for CCR, BCC model, and MPI(Malmquist Productivity Index). DEA is a useful nonparametric technique for measurement of efficiency of a DMU(Decision Making Unit) and MPI is a evaluation method to measure DMU's productivity change. We utilize 34 regional public hospital's time-series data over 6 years from 2003 to 2008.The results of this study were as follows. First, technical efficiency(TE) shows that approximately 3.6% of inefficiency exists on the regional public hospitals and it reveals that the cause for technical inefficiency is due to scale inefficiency. Second, MPI's results show that regional public hospital made effort to improve total factor productivity change to raise technical efficiency. In order to raise efficiency, the regional public hospitals should deploy internal innovation and the government should support welfare policies.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.10a
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• pp.563-568
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• 1998

응용시스템 개발생산성에 대한 연구는 지금까지 프로그래머의 생산성이라는 미시적 수준에 그치는 경향을 보여왔으며 시스템개발 생명주기의 전반적 영향에 중점을 둔 거시적수준의 생산성의 개념으로 확대되지 못해왔다. 더욱이 그들의 생산성 측정은 미시적 측정단위를 사용함으로써 조직 내 응용시스템 개발요구의 백로그의 증가라는 거시적 문제 해결과는 거리가 있어왔다. 본 연구는 정보시스템 조직의 생산성 향상에 기여할 수 있는 도구 및 방법이 실무적으로 어떻게 사용되고 있고 그 효과가 어느 정도인지를 관찰하는 탐색적 연구로써 응용 시스템 개발 생산성에 기술적 방법과 관리적 방법을 거시적 생산성 향상의 관점에서 분석하고자 한다.

• Journal of Korea Port Economic Association
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• v.38 no.2
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• pp.123-138
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• 2022

Korea has been huge investments in its port system, annually upgrading its infrastructure to turn the ports into Asian hub port. However, while Busan port is ranked fifth globally for container throughput, Other Korean ports are ranked much lower. This article applies Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) to evaluate selected major Korean seaports' operational efficiency and productivity from 2010 to 2018. It further integrates Principal Component Analysis (PCA) into DEA, with the PCA-DEA combined model strengthening the basic DEA results, as the discriminatory power weakens when the variable number exceeds the number of Decision Making Units(DMU). Meanwhile, MPI is applied to measure the seaports' productivity over the years. The analyses generate efficiency and productivity rankings for Korean seaports. The results show that except for Gwangyang and Ulsan port, none of the selected seaports is currently efficient enough in their operations. The study also indicates that technological progress has led to impactful changes in the productivity of Korean seaports.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.547-553
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• 2022

This study analyzed the changes in the operational productivity of fourteen Korean container lines from 2019 to 2021 using MP I(Malmquist Productivity Index). The results indicated that the operational productivity of the shipping companies has increased by 38.4% annually, representing the TCI (Technical Change Index) increasing by 58.3% and the TECI (Technical Efficiency Change Index) decreasing by 12.6%. The increase in the operational productivity of the container shipping lines was mainly attributed to the high rise in ocean freight rates rather than an increase in fleet size or ship technical efficiency. However, the deep-sea shipping lines (i.e. HMM and SM lines) experienced increases in both the TCI and TECI, which was not the case for other shipping lines(i.e. Intra-Asian short-sea shipping lines). The intra-Asian short-sea shipping lines enhance their productivity due to the TCI but failed to appreciate the cost savings of the increased fleet effects due to the low SECI(Scale Efficiency Change Index) values.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.17-26
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• 2024

Port distripark can activate more functions. It is adjacent to a port. However, domestic port distripark is still limited to support port because of the shortage of infrastructure facilities, government policy, and investment. Therefore, this study tried to investigate the operation status of domestic port distripark and derive policy implications by conducting DEA analysis and productivity analysis based on internal data of each port distripark. As a result of Data Envelopment analysis, it was found that the west port distripark of Gwangwang and the northern port distripark of Incheon were efficient in the warehouse industry while the northern port distripark of Incheon and the Ulsan 1 port distripark were efficient in the manufacturing industry. In addition, in the case of foreign investment productivity, the west side port distripark of Gwangyang and the stage 1 port distripark of Pyeongtaek Dangjin were found to be higher than the others. In the case of facility investment productivity, the port distripark on the west side of Gwangyang and the north side of Incheon had the highest productivity. Lastly, in the case of labor productivity, the north side of Incheon and Busan ungdong port distripark showed the highest productivity. These results imply that it is important to review handling item when picking up enterprises in the port distripark for enhancing efficiency, foreign investment, and facility investment. The number of employees is not directly affecting the productivity improvement.

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.73-79
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• 2010

Deck plates have been widely used for steel framework due to their merits in terms of schedule reduction and work repetition. For this reason, most of the previous studies related to deck plates have focused on the development of form type and their constructability. In this study, through an actual case study and interviews with experts, a simulation model was developed using the CYCLONE method. Based on this model, this study not only analyzed the productivity of the work process of the deck plate in steel framework, but also identified the occurrence of idle time in the work process. In addition, using a sensitivity analysis, productivity and duration could be analyzed according to variation of input resources. Based on the results, this paper suggests a way to improve the productivity of deck plate work in steel frameworks. Using the model, it is expected that project managers would be able to predict the productivity and total duration of the deck plate work in the early project phase, which will enable managers to make an appropriate plan for input resources.

• Journal of the Korea Construction Safety Engineering Association
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• s.33
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• pp.62-75
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• 2005

건설 프로젝트 관리의 주요한 목표는 계획된 시간 내에, 정해진 예산으로 규정된 목표(명세 또는 품질)를 확보하는 것이다. 국내 건설 산업은 타 산업 분야에 비하여 생산성이 매우 낮은 편이다. 이는 60년대 이후 급속한 개발 정책에 따른 부작용의 하나로, 하드웨어의 급속한 성장에 비하여 이를 관리하기 위한 소프트웨어의 개발이 부족했기 때문으로 풀이할 수 있다. 이에 본 연구에서는 건설 프로젝트의 생산성을 향상시키기 위한 노력의 일환으로 계획 단계에서의 실행과 완성 단계에서의 실행을 비교하여 이를 작업일보, 감독일지 등의 진도관리 자료를 활용하여 분석하여 건설 프로젝트의 실제적인 생산성 저하 요인을 도출하였다. 따라서 본 연구 결과는 현행 국내의 건설 프로젝트에 대한 사례분석을 통하여 실제적인 생산성 저하 요인을 분석한 것인 만큼 향후 건설 관리 기술의 향상에 많은 도움을 줄 수 있을 것으로 기대된다.

• Journal of the Korea Institute of Building Construction
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• v.14 no.4
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• pp.292-300
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• 2014

The construction progress control is very important because there are many unexpected factors affecting time schedule delay and cost overruns. A complicated measure including item quantity and inherent time and costs is used to monitor the progress. Another element to be considered is a productivity, which is cost effectiveness because productivity is primarily measured by the costs. Productivity is stated as constant in-place value divided by inputs such as worker-hour. The main purpose of this paper is to analyze the productivity of structural formwork using a 3D BIM. In order to achieve the research objective, an integrated model of a BIM with a daily foreman's report is developed. The quantities being extracted from a 3D model and information are integrated with manpower utilized. The developed model is applied to a case project to measure and analyze the productivity in terms of individual building and work crew team. The results are discussed and further research topics will be addressed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.813-818
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• 2007

Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.593-596
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• 2006

Productivity is the most important factor directly link to success and failure of a work in construction industry. To evaluate this productivity, simulation technique is verified as a fine inspection tool through various experiment reports. On this project, we have proved the part of improvement on productivity using this simulation technique, applied to this field sites. We have used CYCLONE, which is the most appropriate simulation technique on this project. As a result of Simulation analysis, it has been confirmed that the productivity was enhanced due to the advancement of equipment, hence the reduction of air is being effected.