• Journal of Information Technology Services
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• v.5 no.2
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• pp.179-188
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• 2006

MDD/MDA which recently raising its head is technology that increase software development productivity through automatic transformation form higer abstract model into lower abstract model, or from model to code. This paper analyzes the effect on productivity by measuring Function Point per MM(man-month) in a software development project which performed in CBD methodology, and introduce the method of applying MDD/MDA technology in the project.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.983-989
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• 2009

This study aims to systematically identify direct and indirect factors that influence labor productivity and to build a model that mathematically quantifies them so as to efficiently manage and increase labor productivity in the construction work. This study was performed based on the productivity model for workers in reinforced concrete construction projects, because it aims to establish a general construction labor productivity model that reflects many factors that influence labor productivity. Using statistical analysis, we found that the components that significantly influence productivity were the worker component, the work characteristic component, the work technique component, the work management component, the equipment & materials component, and the work guide component, while the work delay components did not significantly influence productivity. In addition, a priority analysis was performed based on the components that showed statistically significant effects. The results of the analysis indicated that the influence of work management component and the work technique component is more than that of the worker component and the work characteristic component. The construction labor productivity model that was formulated in this study could be used for the determining the standard productivity during the initial planning stage, so the best strategy for increasing labor productivity could be formulated.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.1
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• pp.49-57
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• 2006

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.

• 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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.281-282
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• 2012

Construction performance and productivity improvement are key focus areas in construction industry for any nation. There have been frequent delays and cost overruns in construction projects and poor productivity is one of the major contributions. For this reasons, there have been many research studies performed on the improvement of construction productivity for several decades. However, measuring productivity on a construction job site is still not an easy work. Because collecting reliable data consistently from the job site requires a lot of personnel efforts causing extra time and cost. This paper provides a basic study on the application of image processing technology for measuring unit productivity. It presented the possibility of unit productivity measurement by image processing technology through case study.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.05a
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• pp.133-139
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• 2008

Productivity is an important factor of the construction's success and growth. However, compared to the other industries, the study of productivity in the construction industry is still insufficient. Even though the Cast-in-Place piles work is also important in construction process, the research on the productivity is not enough. So, it is necessary for the systematic research on the productivity of Cast-In-Place Piles Work. Therefore, the purpose of the study is to classify lower productivity's cause and find a way to improve these situations. This study will give the checklist for the further study of factoring and improvement of the Cast-in-Place piles work productivity.

• Journal of Korean Society for Quality Management
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• v.8 no.1
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• pp.16-24
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• 1980

A movement for higher productivity is very important of the basis for industry society prosperity. Contineous productivity improvement have a right understanding of a conception of productivity and its effect that are removed an act before the trouble of higher productivity enforcement. It is that the theoretical principle of productivity improvement are harmonized of the stage of application, actual problems and considered a special characteristic of the enterprise in industry for contineous productivity improvement. A movement for higher productivity is used by way of a welfare society.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.259-262
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• 2015

Due to the labor-intensiveness, high investment cost, long execution time, frequent change orders, and many stakeholders in a BIM project, a BIM manager is bound to face a lot of risks to make decisions in cost managing process. Since the productivity of a BIM team will affect the execution cost, this study investigates a simple method of assessing the productivity of a BIM team using the working timesheet records of the team. In this research, the productivity of a BIM team is defined as the effective working floor area (in square meters) of BIM uses per labor-time (in man-months) spent by the team. After the applicability of this method is tested by regression analysis using data from 5 real BIM projects in the construction phase, it is found that the simple productivity definition adopted in the method, although easy-to-implement, does not produce a statistically constant productivity value. More research is therefore needed in the future to devise better indicator(s) for assessing the productivity of a BIM team.

• International Commerce and Information Review
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• v.7 no.2
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• pp.49-74
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• 2005

E-business has received much attention from entrepreneurs, executives, investors, and industry observers recently. The Internet is flourishing and the World Wide Web is growing at an exponential rate In recent years, information has become the critical commodity needed for success in the changing global economic order. Accordingly, business organizations have come to the conclusion that they require an extensive data repository in order to acquire a competitive advantage in a dynamically change market. This rich assortment of data must further be delivered and deliverable enterprise-wide in a secure and cost-efficient manner. Information technology(IT) has created the E-business as a vitally important mechanism for the storage, dissemination, and even the analysis data. The E-business has become increasingly important to a growing number of organizations in Korea in relatively short order. The present study is an attempt to develop a more through understanding of the potential and actual impact of the E-business on organizational functions and activities. Expecially, it also consists of an effort to assess the impact of the E-business on productivity. The research also addresses the issue of how the E-business affects productivity and shapes or modifies business activities. The results of literature review and study revealed that middle managers believe that the extent of the E-business use is significantly related to improvements in overall organizational functions and activities. While communication, decision-making, productivity, work collaboration, and business activities are all enhanced by E-business use, productivity appears to be most dramatically improved by Intranet use.

• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.3
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• pp.183-189
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• 2023

It is widely known that forage corn is one of the most important crops in the production of silage and green chops during the summer months. In this study, the characteristics and the productivity of Kwangpyeongok, AGR 41, and Nero IT corn cultivars were evaluated in the regions of Jeju and Cheonan, Korea between 2021 and 2022. In each year, different corn cultivars were sown in different parts of the country on April 7 in Jeju and May 3 in Cheonan. The yield of three cultivars, Kwangpyeongok, AGR 41, and Nero IT were measured at the yellow-ripening stage, including the leaves and stems (Stover) and corn grain. Kwangpyeongok stover and total dry matter (DM) yields were slightly higher in Cheonan than in Jeju over the past two years. The quantity of corn cultivated in all cultivated areas was similar. The average yield of AGR 41, corn quantity and total DM were slightly higher in Jeju than in Cheonan. In terms of stover yield, and total dry matter content of the Nero IT cultivar cultivated in Jeju had a slightly higher yield than the cultivar cultivated in Cheonan. Based on this study, all cultivars can show some variations but not too much in terms of growth productivity and distinct characteristics depending on their location. Overall, AGR 41, and Nero IT cultivars in Jeju exhibit slightly higher levels of productivity than the same cultivars in Cheonan.