• International conference on construction engineering and project management
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• 2022.06a
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• pp.839-846
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• 2022

Traditionally, the construction industry has shown low labor productivity and productivity growth. To improve labor productivity, it must first be accurately measured. The existing method uses work-sampling techniques through observation of workers' activities at certain time intervals on site. However, a disadvantage of this method is that the results may differ depending on the observer's judgment and may be inaccurate in the case of a large number of missed scenarios. Therefore, this study proposes a model to automate labor productivity measurement by monitoring workers' actions using a deep learning-based pose estimation method. The results are expected to contribute to productivity improvement on construction sites.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.154-157
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• 2015

Construction industry still requires a lot of laborers to perform a project despite of advance in technologies, and improving labor productivity is an important strategy for successful project management. Since repetitive construction works exhibits learning effect, understanding laborers' learning phenomenon therefore allows managers to have improved labor productivity. In this context, previous research efforts quantified individual laborer's learning effect, though numerous construction works are performed in group. In other words, previous research about labor learning assumed that sum of individual's productivity is same as group productivity. Also, managers in construction sites need understanding about group learning behavior for dealing with labor performance problem. To address these issues, the authors investigate what variables affect laborers' group level learning process and develop conceptual model as a basic tool of productivity estimation regarding group learning. Based on the result of this research, it is possible to understand forming mechanism of learning within the group level. Further, this research may contribute to maximizing laborers' productivity in construction sites.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.3-12
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• 2022

In general construction project planning ratio of manpower and quantity of outputs produced, such as the construction estimate standard, is used as the criterion for labor productivity. This method is highly effective in construction projects with repetitive work, however, there is a limit to apply in large-scale projects with high complexity. This is because the influence of non-work time caused by various work interruption factors that act complexly on the productivity of the project is greater than the average labor productivity derived from the performance data of the project. Therefore, this study proposes a productivity measurement method that can evaluate the characteristics of construction works and the cause of non-working time. To this end, first, detailed work processes and their non-work factors for each work type are defined, and the Adv-FMR technique is developed for quantitatively measuring them. Next, based on the concept of obtainable productivity, methods for comparative productivity analysis by work type, evaluating non-work factors, and deriving productivity improvement methods are proposed. Finally, a case study is conducted to validate that the analysis results based on Adv-FMR data can support the decision-making of construction managers on productivity management.

• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.99-110
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• 2020

Productivity is also a very important indicator in the construction industry as it can measure economic growth and the efficiency of each related production activity, either at the industrial level or at the corporate level. Technical factors indeed have a great impact on productivity, but in order to improve productivity in the actual construction industry, various productivity factors must be analyzed first, and the efforts to improve productivity at the project level are more important than the efforts to improve productivity at the construction industry level, which are addressed from a macro perspective. This study was designed to provide basic data for efficient productivity management activities of the project by selecting priority management factors through the causal analysis of the factors and the elicitation of the productivity degradation factors at the construction site to improve the quality of the construction industry.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.50-53
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• 2009

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to spring framework 2.5. Non EJB and the EJB architecture to resolve the problem with benefits to support the new architecture is a lightweight container architecture. This architecture, such as the EJB, but not heavy, to provide all of the architecture is possible. The lightweight container architecture is most often used in business spring framework is well-known architecture. Therefore, this research has the Non EJB and the EJB to solve the advantages and disadvantages developed to support the latest spring framework 2.5 lightweight container architecture based on the design and implementation of a pilot system with the objective through the specification of the software previously to provide guidance to development productivity.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.4
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• pp.175-184
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• 2019

To improve productivity in the architecture, construction and engineering industry, it is critical to understand both current and historic trends in construction productivity. This study analyzes and compares construction productivity trends of South Korea, the U.S., the U.K., and Japan 1995 to 2015 using the following three measures: construction labor productivity, construction duration per floor, and construction duration per 1,000 m2 floor area. As the results, the international competitiveness of each country varied according to which measures were used to analyze them. Among the four countries, the construction labor productivity of the U.S. was the highest, followed by that of South Korea. South Korea also had the second highest productivity growth rate, following that of Japan. On the other hand, when analyzed from the perspective of construction duration, the construction productivity in South Korea appeared relatively lower than those of other countries. There were differences in the location of construction competitiveness of each country analyzed by various measures. Therefore, to accurately diagnose and improve the construction competitiveness in South Korea, strategies based on various measures are need to established simultaneously.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.409-416
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• 2020

This paper proposes a study measuring productivity improvement by using a type of technology called "Machine Guidance" through work sampling in earthwork. Earthwork is the activity typically on the critical path, indicating that productivity for the activity is critical for managing schedule on time. Thanks to the development of sensing and information system technologies, productivity for earthwork has been improved. While there have been many studies investigating the application of a certain type of technology to earthwork, few studies have measured the productivity improvement and presented how the technology leads to productivity improvement. Based on the thorough literature review, it is hypothesized that Machine Guidance contributes to improving productivity of earthwork by reducing indirect workhours spent for information waiting and inspection. In addition to the literature review, this paper presents a research model to test the hypothesis by using the work sampling technique. By proving and quantifying the productivity improvement from the technology use, this study can help practitioners justify the investment for technology use, which will contribute to the deployment of technology and more effective execution of earthwork.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.9-13
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• 2010

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to Seam Framework. Heavyweight and lightweight architecture to resolve the problem with benefits to support the new architecture is a large size distributed object standardization architecture. This architecture, such as the Seam Framework, to provide all of the architecture is possible. The distributed object standardization architecture is most often used in business Seam Framework is well-known architecture. Therefore, this study is based on the Seam Framework large distributed object architecture, design and implementation of standardization software development productivity and the objective is to provide guidance.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.263-268
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• 2014

The purpose of this study is to provide a quantitative evaluation index of object-oriented software development productivity for EJB 3.0 and EJB 3.1. A lightweight container architecture is a newly-developed architecture in order to solve demerits that N-Tiers enterprise architecture has and to support merits therein. A lightweight container architecture is not as heavy as EJB(Enterprise JavaBeans) architecture is, whereas it provides all the functionality of the EJB container. However, there have been insufficient studies on a performance evaluation of EJB 3.0 and EJB 3.1 on an identical platform. Since a quantitative analysis has been performed only with respect to a partial LoC(Line of Code) analysis, there have been insufficient objective evaluation indeces and guidelines for a new specification released. Accordingly, there has been limited evaluation of software development productivity and on new innovations in a project. Therefore, this study designed and implemented a movie reservation system in EJB 3.0 and EJB 3.1, which was based on the same development platform environment. This study then intends to provide evaluation guidelines for an objective software development productivity cl LoC(Lineand standardization thereof by development platform environment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.746-751
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• 2004

Demands for higher productivity in container terminal environments continues to escalate consideration of equipment upgrades. And then transportation of containers using the automated container crane becomes more and more important for productivity enhancements. Introducing a hybrid control architecture to the container crane, it provides a effective means to the automated operation of the container crane. This paper addresses the methodology for automation of container cranes. In addition, this paper proposes a new control architecture for the automated container crane and explains each component of that architecture. The control architecture is composed of a deliberative control layer, a sequencing layer, and a reactive control layer. The proposed architecture is applied to a dual-hoist double-trolley container crane.