• 한국건설관리학회논문집
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• 제23권6호
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• pp.21-29
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• 2022

건설 프로젝트의 성공적인 수행을 위해 공정 생산성 예측이 필수적으로 요구된다. 특히, 시공 단계 이전에 수행되는 계획의 정확도 및 실효성은 시공 단계의 성과에 큰 영향을 미친다. 기존의 생산성 예측은 표준품셈과 같은 기존 문헌 참고를 통해 수행된다. 그러나 이러한 방법은 변화하는 조건을 즉각적으로 반영하는 것과 공사 수행에 필요한 최적의 장비 조합을 도출하는 것이 어렵다. 본 연구에서는 이산 이벤트 시뮬레이션 기술을 이용하여 장비 조합에 따른 생산성 데이터베이스 구축 방법을 제시하였다. 제시된 방법을 통해 표준품셈 기반 공정 계획 수립을 하는 관리자에게 굴삭기, 로더, 덤프트럭 등으로 수행되는 작업에 대한 최적 시공 계획 수립을 할 수 있을 것이라 예상된다.

• 지능정보연구
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• 제14권3호
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• pp.77-86
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• 2008

본 연구에서는 터미널의 운영전략과 하역시스템의 다양한 속성들이 반영이 된 터미널의 하역생산성 추정모델을 제시하였다. 터미널 설계 시 고려되는 하역시스템 특성 및 장치장의 레이아웃을 고려한 다양한 요소들을 반영하여 실험하였으며 시뮬레이션을 이용하여 하역 생산성 자료를 수집하였다. 수집된 자료를 바탕으로 회귀분석을 통하여 모델의 유의성을 검증하였다.

• 농촌지도와개발
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• 제17권4호
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• pp.933-955
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• 2010

Researchers have different views on impact of information system use on productivity. The differences are fueled by 'the productivity paradox' insisted by Brynjofsson(1993). This paper intend to quantitate impacts of information system and to test the productivity paradox of using the information system. Restricted Maximumlikelihood Estimation(RMLE) method is applied on data from 81 farms adopting Pigplan system. The results find positive productivity improvement with information systems in swine farm. Adopting Pigplan system increases 0.52 in PSY(pigs per sow per year) and 0.087 in sow turnover. When it comes to region and farm size, region has impact on both PSY and sow turnover, while farm size does not. This result infers that local cooperatives, regardless of farm size, differentiate the impacts of the information system, implying that the ability to utilize information systems should be improved in organizational level.

• STI Policy Review
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• 제3권1호
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• pp.80-95
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• 2012

Few studies have focused on the impact of R&D outsourcing on technological innovation and productivity despite the increased importance of R&D outsourcing. This study analyzes the productivity effects of investment in R&D outsourcing with a sample of Korean manufacturing industries from 2001 to 2009. The estimation results show a nonlinear U-shaped relationship between productivity and the share of R&D outsourcing capital for total R&D capital. This implies that the cost of R&D outsourcing outweighs its benefits in the early stages of R&D outsourcing. The U-shaped relationship is particularly pronounced in high-technology industries.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2005년도 춘계 학술기술논문발표대회 논문집
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• pp.141-147
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• 2005

Usually, processing whole project or a part of frame work delays due to acceleration, changing orders, management, characters of project. overtime, worker crowding, early occupation in the field of construction. Through a whole project, these factors cause decreasing construction labor-productivity which is the most dependent in business of construction. These kind of decreasing of construction labor-productivity cause many negative effects, just as extension of time, increasing cost in project of construction. Regardless of characters of construction or decreasing labor-productivity, extension of time is a incident which needs acceleration, also it cause a high possibility of claim and dispute. The productivity has just a broad meaning in business of construction. That's why it's difficult to apply in the field of construction. Especially, factors increasing or decreasing labor-productivity is defined by analysis of working as qualitative and outlined evaluation. However, study of the each factor decreasing construction labor-productivity analysis has not researched, because of difficulty of systematic measurement and management. The existed studies about management of productivity are just focused on estimation of productivity, not on evaluation of productivity. It was true that I couldn't examine clearly about the analysis of how much important per each the factor which have influence on labor-productivity because of the characteristic as qualitative that the labor productivity have On this study, i tried to get the factors decreasing of labor- productivity with gathering opinions of panels of expert's studies about the factors decreasing of labor-productivity on project of construction through Delphi method and i evaluated the result factors as quantitatively and subjectively about importance of factors decreasing construction labor-productivity Analysis, using AHP Method by Saaty. Also, using Delphi and AHP method, 1 suggest substantiated method qualitative factors are measured by quantitative criteria.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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• pp.138-139
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• 2015

Human productivity of Boring Machine for stack is provided but not its hourly workable quantity(Q-value) in the Equipment ownership cost and expenses section of the Poom-Same that is used for construction cost estimation of public sectors in Korea, which leads to less realistic and subjective estimation for the works. The optimized Q-value of the machine is proposed as a result of thorough investigation into many of its operations.

• Journal of Ecology and Environment
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• 제33권1호
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• pp.59-65
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• 2010

Because seagrass production significantly contributes to the biodiversity and production of coastal and estuarine ecosystems, accurate estimation of seagrass productivity is a critical step toward understanding the ecological roles of seagrass in these ecosystems. To develop an accurate and effective method of measuring seagrass productivity, we estimated leaf productivity of eelgrass (Zostera marina) on the southern coast of Korea using three methods, the conventional leaf marking method, the elongation-mass method (Short '87 method), and the plastochrone method. In each season, shoots were pierced through the bundle sheath using a hypodermic needle and were collected after 2-4 weeks had elapsed to estimate their productivity. The leaf elongation and the leaf plastochrone intervals varied significantly among seasons. On an annual basis, the conventional leaf marking method showed the lowest leaf productivity estimates compared to the elongation-mass method and the plastochrone method, suggesting that the conventional leaf marking method underestimated leaf productivity as it ignored leaf maturation processes and new leaf growth within the sheath. Since the elongation-mass method considered leaf maturation processes, this method produced higher leaf productivity estimates than the conventional leaf marking method. On an annual basis, the plastochrone method produced the highest leaf productivity estimates. Below-ground productivity, which can be easily estimated using the plastochrone method, ranged between 3.29 and 5.73 (mg dry weight $shoot^{-1}\;day^{-1}$) and accounted for about 17.8% to 30.3% of total productivity. Because of the high contributions of below-ground productivity to total seagrass production, we suggest that the plastochrone method is an effective and simple technique for assessing both above- and below-ground productivities.

• Journal of the Korean Statistical Society
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• 제30권2호
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• pp.265-280
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• 2001

Estimation of the edge of a distribution has many important applications. It is related to classification, cluster analysis, neural network, and statistical image recovering. The problem also arises in measuring production efficiency in economic systems. Three most promising nonparametric estimators in the existing literature are introduced. Their statistical properties are provided, some of which are new. Themes of future study are also discussed.

• 경영과정보연구
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• 제37권1호
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• pp.123-138
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• 2018

본 연구는 한국노동연구원의 사업체패널조사 1-5차년도 자료와 행정자료인 "고용보험 DB"를 결합하여 구축한 "사업체-근로자 연계자료"를 활용하여 사업체 근로자의 연령구성과 생산성 및 인건비와의 관계를 실증분석 하였다. 사업체의 생산성은 1인당 부가가치로, 인건비는 1인당 노동비용으로, 사업체 근로자의 고령화 정도는 근로자의 연령구성으로 측정하였으며 동적패널모형을 활용하였다. 분석 결과, 생산성과 인건비 모두 사업체의 35-39세 연령대 근로자의 비율을 중심으로 역U자의 모습을 보였다. 즉, 35-39세 연령대 근로자 대신 더 젊은층의 근로자 혹은 더 고령층의 근로자 비중이 증가하는 경우 생산성 및 인건비에 부(-)의 영향을 미치는 것으로 나타났다. 특히, 35-39세 연령대 근로자 대신 50세 이상 연령대 근로자가 증가할 때의 생산성 추정계수와 인건비 추정계수와의 차이가 30세 미만 연령대 근로자가 증가할 때의 생산성 및 인건비의 추정계수와의 차이보다 더 큰 것으로 나타났다. 이러한 분석 결과를 통해 고령근로자의 생산성 저하에 대한 기업의 우려는 타당하나, 동시에 기업은 이미 인건비 조정 등의 방법을 통해 고령근로자를 효율적으로 활용해 왔음도 확인할 수 있다.

• 수산경영론집
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• 제50권2호
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• pp.41-56
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• 2019

The aim of this study is to analyze the productivity change of pollock enterprise by applying a mutually quadratic hyperbolic model and a bootstrapping model. This study used 20 units of pollock firms data (from 2013 to 2017). As a result of total productivity analysis of twenty pollock enterprises, total factor productivity was estimated to have decreased by 24.9% over the last five years (2013~2017). The main cause of this productivity decline was analyzed by technical change. In terms of annual productivity change, it showed decrease 3.0% in 2013~2014, 7.8% in 2014~2015, 4.5% in 2015~2016 and 4.7% in 2016~2017 respectively. In the analysis of productivity by corporation type, total factor productivity showed a significant decrease in both general corporation and external corporation, and productivity decrease (-29.3%) was larger than general corporation (-23.0%). In the productivity analysis by type of business, total factor productivity decreased significantly in the order of wholesale and commodity brokerage (-26.3%), food manufacturing (-25.1%) and fisheries (-15.3%). This decrease in productivity was caused by the technological change which indicates a downward shift in the production curve that is significant in all sectors.