• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.331-336
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• 2004

In order to strengthen the competitiveness of port against calling for the huge vessel and reducing the shipping service time, the productivity of container terminal must be improved. This productivity variously results according to the kinds of productivity evaluation model, input elements like yard, equipment, employee, facility, etc,. But, it is discussed that the productivity is measured by partial productivity evaluation model or general input elements. Therefore, we measured for the productivity of the container terminal using the Developed the data Envelopment Analysis (DEA), which is developed in order to evaluate the relative efficiency of decision making units - it's difficult to clear cause and effect between input and output. We measured the whole productivity of container terminal in Busan according to decision of the correct input elements. And we investigated the change of the productivity measurement result according to input elements, presents more accurate productivity evaluation model in container terminal.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.311-314
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• 2003

This study takes a statistical approach to quantify tile impact of wort stopped on the following day's site productivity. Therefore, this study is aimed to verify this null hypothesis: 'A work stopped in a construction field does not impact on the following day's productivity and productivity achievement ratio'. For the purpose, work, stopped is presumed as a dummy variable impacting site productivity in multiple linear regression analysis. Moreover, the quantified impact of work slopped on productivity achievement ratio is identified based on this study. This study shows that construction managers should persevere in their efforts to secure the work continuity in order to improve site productivity and productivity achievement ratio.

• ICROS
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• v.4 no.4
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• pp.11-16
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• 1998

본 고에서는 반도체 산업에서 제조 생산성 향상의 필요성을 논하였고, 생산 자동화/통합화와 제조생산성과의 관계에 대하여 기술하였다. 반도체 공정의 생산성 향상을 위해서는 우선 생산 정보시스템 Infrastructure가 구축되어야 하고 이를 기반으로 하여 각 자원 및 기능 간의 효율적인 조정이 필요하다. 특히, Moore's Law에 필요한 효율의 달성을 위해 물류시스템의 자동화/통합화 그리고 반도체 공장의 설계/운영의 합리화를 위한 노력이 종합적으로 이루어져야 한다.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.379-388
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• 1997

새로운 소프트웨어를 개발할 때에 이미 개발되어진 소프트웨어를 재사용 함으로써 얻을 수 있는 장점은 많다. 그 중에서 이미 검증된 소프트웨어를 사용함으로써, 오류가 감 소됨에 따라 고품질의 소프트웨어를 생산할 수 있고, 소프트웨어의 개발비용을 생산성을 향 상시킬 수 있다. 본 논문에서는 소프트웨어를 재사용 함으로써 소프트웨어 개발 시에 사용 되는 비용과 생산성을 상대 비교해서, 소프트웨어 개발에 소요되는 비용과 생산성의 관계를 나타내는 새로운 모형과 예를 제시하고 있다. 또한 소프트웨어 재사용시에 개발기관과 총인 월에 대한 생산성을 COCOMO 모형을 사용해 규명하고 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.319-325
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• 2005

The objective of this paper is to forecast the port productivity of container terminal to response very large container ship. In general, the productivity of container terminal is evaluated by productivity of stevedoring system including container cranes, yard cranes, and yard tractors. Therefore, we analyzed the current productivity of container crane as port productivity in Pusan ports and forecast net productivity and gross productivity of container cranes to handle the containers cf very large container ship. In order to improve the productivity, we summarize alternatives of stevedoring system and operation system.

• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.133-151
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• 2002

본 연구는 Malmquist지수를 이용하여 1997년 외환위기 때부터 2000년까지 국내은행의 생산성 변화를 순수기술효율성, 규모효율성 및 기술진보의 변화로 구분하여 측정함과 동시에 서울소재은행과 지방은행간의 생산성을 비교하였다. 1997년과 2000년간의 순수기술효율성의 변화는 감소하였지만, 규모효율성과 기술진보의 변화가 순수기술효율성의 하락 부분을 상쇄한 결과로 2000년에는 1997년의 생산성 수준을 회복하였다는 것을 확인하였다. $1997{\sim}2000$년의 서울소재 은행과 지방은행간을 비교한 결과에 의하면 서울소재은행의 생산성이 높게 나타났다. 두 집단간에 이러한 차이는 규모효율성으로부터 기인하였으며, 기술혁신을 의미하는 기술진보의 변화에는 두 집단간에 차이가 없었다. 특히 지방은행의 생산성은 2000년에도 1997년도 수준을 회복하지 못하고 있다.

• KDI Journal of Economic Policy
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• v.36 no.1
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• pp.1-42
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• 2014

This study analyzes how heterogeneous across firms' productivity level the effects of foreign direct investment (FDI) on the productivity of firms in a host country are. The study uses firm level data over 2000~2009 in South Korea and takes a quantile regression approach to estimate FDI's heterogeneous effects on the invested firm ('direct effects') and other domestic firms in the industry to which the invested firm belongs ('intra-industry spillover effects'). Major empirical results are as follows. In manufacturing sector, FDI has positive and statistically significant direct effects on the invested firm. In addition, the higher the quantiles of firms' productivity level are, the larger the positive productivity effects are. FDI also has positive and statistically significant intra-industry spillover effects on domestic firms in low quantiles of productivity while it has negative and statistically significant or insignificant spillover effects on those in high productivity quantiles. In service sector, on the other hand, Sufficient evidence is not found that FDI has statistically significant direct effects or intra-industry spillover effects. Taken together, the study suggests that FDI has heterogeneous effects on the productivity of firms in host country, depending on the firms' productivity level and sector.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.3-12
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• 2019

Despite the importance and function of productivity information, in the Korean construction industry, the method of collecting and analyzing productivity data has not been organized. Also, in most cases, productivity management is reliant on the experience and intuitions of field managers, and productivity data are rarely being utilized in planning and management. Accordingly, this study intends to develop a prediction model for interior finishes of apartment using deep learning techniques, so as to provide a foundation for analyzing the productivity impacting factors and predicting productivity. The result of the study, productivity prediction model for interior finishes of apartment using deep learning techniques, can be a basic module of apartment project management system by applying deep learning to reliable productivity data and developing as data is accumulated in the future. It can also be used in project engineering processes such as estimating work, calculating work days for process planning, and calculating input labor based on productivity data from similar projects in the past. Further, when productivity diverging from predicted productivity is discovered during construction, it is expected that it will be possible to analyze the cause(s) thereof and implement prompt response and preventive measures.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.21-32
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• 2023

The domestic automobile industry is growing due to favourable government policies and changing technological innovations. As the automobile industry becomes more active, the role of dedicated docks facilitating automobile exports is also becoming prominent which can be identified as a sector still requiring comprehensive research. Accordingly, a case analysis of domestic automobile port productivity was conducted using empirical data collected from Korean automobile ports to compare and analyze their productivity and to present implications based on the findings. In the case of productivity analysis, facility, labor, working time, and cost productivity were calculated from (the beginning of) 2021 to the second quarter of 2022. The results of the analysis revealed the port D to achieve the highest productivity during the study period, followed by the ports B, C, and A, respectively. Based on the current situation of each automobile dock revealed through the results, strategies for future development is derived.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.36-48
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• 2015

To complete various types of finish works with higher quality in much less time, TACT, which was mostly used for high-rise buildings, has been adapted to meet the needs for systematic schedule management in construction sites. However, the effectiveness of adapting TACT has not been shown as expected due to the different perspectives on productivity from both general contractor and subcontractors based on unforeseen conditions according to the types of site. Furthermore, not enough theoretical backgrounds, empirical data, and systematic approaches to solve the fundamental problems caused by each participants' different views on productivity has produced obstacles for establishing effective solutions. Therefore, this research aims to analyze the possible main reasons for having different point of views regarding productivity among various participants of residential building sites using TACT based on literature review, site survey, and interviews. Also, case study was conducted to propose obtainable productivity (OP) regression equation and productivity achievement ratio (PAR) with reduction factors (RFs) and actual productivity (AP) data from an actual construction site. The proposed outcome may assist general contractors converting output management with PPC to productivity management with actual data using PAR. On the other hand, subcontractors would be able to estimate theory-based maximum productivity of construction sites with TACT by using OP. The PAR will enhance the communication between general and sub-contractors for their decision making process. Finally, the main RFs derived from PAR could be used as essential keys for productivity management to increase the economical and operational effectiveness of the construction project.