• Construction Engineering and Management
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• v.18 no.2
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• pp.31-43
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• 2017

• Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.16-18
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• 2005

• Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.25-26
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• 2005

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.202-210
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• 2004

Under the current competitive business environment, the complexity of procurement method, and the lack of engineering capacity in the construction engineering industry, a construction engineering firms require the business strategy and its performance measurement system. This study suggests a performance measurement model that could follow 'H' construction engineering firm's vision and strategy. The model utilizes the concept of Balanced Scorecard. The study proposes the four main performance perspectives such as financial, growth, internal efficiency, and improvement & learning through the long-term strategy analysis, SWOT analysis, and interviews of the employees. Also the study develops the critical success factor and the key performance indicators. The usefulness of the performance measurement model is validated through the gap analysis such as alignment analysis and consensus analysis.

• Geomechanics and Engineering
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• v.28 no.1
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• pp.65-75
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• 2022

Time and cost of construction are key factors in decision-making during a tunnel project's planning and design phase. Estimations of time and cost of tunnel construction projects are subject to significant uncertainties caused by uncertain geotechnical and geological conditions. The Gaussian Process Regression (GPR) technique for predicting ground condition and construction time and cost of mountain tunnel projects is used in this work. The GPR model is trained with data from past mountain tunnel projects. The model is applied to a case study in which the predicted time and cost of tunnel construction using the GPR model are compared with the actual construction time and cost for model validation and reducing the uncertainty for the future projects. In addition, the results obtained from the GPR have been compared with to other models of artificial neural network (ANN) and support vector regression (SVR) that the GPR model provides more accurate results.

• Journal of Construction Engineering and Project Management
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• v.3 no.4
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• pp.5-11
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• 2013

Construction industry is overwhelmed by delay and often has suffered cost and time overrun. In this context, Last Planner System (LPS) has been considered as a very useful tool for the management of the construction process. Many previous studies have reported its effectiveness in construction performance. This study aims to evaluate the level of importance of the Last Planner processes in the Vietnam construction industry (VCI), and analyze the existing barriers when implementing these processes in construction management. These barriers were collected based on previous studies from International Group for Lean Construction (IGLC). A survey was carried out through questionnaire. The respondents are been experienced people in construction project management. There are four processes of LPS that were investigated including master schedule, phase schedule, lookahead plan, and weekly work plan. The results showed that master schedule is the most important item when performing a construction project in the VCI. The highest degree of agreement belongs to 'owner - contractor' pair with 77.1% importance indices; whereas the lowest belongs to 'consultants - contractors' pair with 63.8% importance indices. Eventually, three barrier factors were extracted from factor analysis technique with 62.2% of variance explained.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.759-768
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• 2007

Construction is one of the most hazardous industries due to its unique nature. Recent occurrences of highly publicised and criticized construction site accidents have highlighted the immediate need for the construction industry to address safety hazards. Safety used to be addressed as an isolated issue in the past, but the problem of safety is an emergent property of a system. In general, it seems that both industrial practitioners and government officials have tended to address safety by focusing on technical aspects and looking for immediate causes of accidents after they have taken place. The objective of this paper is to examine issues and critical factors that affect the safety standards from a holistic point of view. The job of making worksites safe should not just fall squarely on the contractors but should be shared by all parties in the value chain of construction activities.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1053-1059
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• 2009

Construction system modeling can enhance work performance by following the behaviors of a system. System behaviors may originate from physical aspects of a system, namely operation level variables, or from non-physical aspects of a system known as context level variables. However, construction system modelers usually focus on only one type of system variable (i.e., operation level or context level) which can lead to less accurate results. Hybrid modeling with System Dynamics (SD) and Discrete Event Simulation (DES) is one of the approaches that has been utilized to address this issue. In this research, an SD-DES hybrid model of a steel fabrication shop is developed, and the benefits of capturing context level variables together with operation level variables in the model are discussed.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.587-592
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• 2009

Construction companies in Korea have shown interest in BIM (Building Information Modeling) even if late, adopted it, and applied it to several projects. But, it is hard to figure out the status of BIM implementation. Thus, this study is to figure out the status of BIM implementation in Korea by surveying major construction companies in Korea and comparing with similar surveys abroad. The survey result shows that only 11 companies in Korean construction industry adopted BIM. The clash check (73%) was mostly used among various BIM functions and other functions were used less than 30%. As of 2008, only 8 construction companies have used BIM in 27 projects and thus, Korean companies are in the BIM introduction period. Therefore, successful introduction of BIM is required by benchmarking the BIM introduction process of overseas construction industries

• 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.