• Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.19-20
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• 2005

• Construction Engineering and Management
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• v.20 no.5
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• pp.3-7
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• 2019

• Construction Engineering and Management
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• v.20 no.3
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• pp.76-78
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• 2019

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.43-53
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• 2018

Modular construction can improve construction quality and accuracy through manufacturing process, and it allow massive production and cost savings by repeatedly producing the same unit. In particular, it is possible to reduce the time because the on-site work and the manufacturing process can be carried out at simultaneously. However, according to the modular construction project survey report, there is no significant difference regarding the average construction period between modular construction and conventional construction. This is due to schedule delay problems that occur during construction phase. Therefore, it is necessary to select alternatives to prevent schedule delay during on-site construction progressing. Especially, in case of large-scale modular construction project, on-site module assembly and manufacturing process are performed concurrently. Hence, identification of alternatives should be done at the co-occurrence by taking both manufacturing and on-site work process in to account. In this research, the management factors of large-scale modular construction project were identified through the IDEF0 modeling, and the quantity management model for manufacturing and assembly is developed. This will reduce the schedule delay problem that occurs in the progression on-site work of a large scale modular construction.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.353-360
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• 2022

Due to the dense and complicated working environment, the construction industry is susceptible to many accidents. Worker's fall is a severe problem at the construction site, including falling into holes or openings because of the inadequate coverings as per the safety rules. During the construction or demolition of a building, openings and holes are formed in the floors and roofs. Many workers neglect to cover openings for ease of work while being aware of the risks of holes, openings, and gaps at heights. However, there are safety rules for worker safety; the holes and openings must be covered to prevent falls. The safety inspector typically examines it by visiting the construction site, which is time-consuming and requires safety manager efforts. Therefore, this study presented a worker-driven approach (the worker is involved in the reporting process) to facilitate safety managers by developing integrated computer vision and inertia sensors-based mobile applications to identify openings. The TensorFlow framework is used to design Convolutional Neural Network (CNN); the designed CNN is trained on a custom dataset for binary class openings and covered and deployed on an android smartphone. When an application captures an image, the device also extracts the accelerometer values to determine the inclination in parallel with the classification task of the device to predict the final output as floor (openings/ covered), wall (openings/covered), and roof (openings / covered). The proposed worker-driven approach will be extended with other case scenarios at the construction site.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.91-98
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• 2023

Construction accidents result from a combination of factors, including both the actions of workers and the safety conditions on site. Despite advancements in enhancing construction site safety, there remains a gap in comprehending the cognitive processes underlying workers' unsafe behavior. This paper investigates and validates a qualitative model that delves into the potential causes of workers' unsafe actions by examining their cognitive processes, employing a system dynamics approach. By analyzing the interplay of various loops within this model, it offers both short- and long-term safety strategies for managers intent on minimizing unsafe behavior among workers. Specifically, safety managers should prioritize increasing workers' awareness of hazards through education and fostering a positive safety mindset. Moreover, they should task frontline supervisors with directly addressing and rectifying instances of unsafe behavior by workers. Lastly, construction safety managers ought to formulate safety strategies that take into account the cognitive states of workers to mitigate any adverse consequences of biased safety management. The outcomes of this research contribute to our comprehension of methods to enhance hazard perception among workers, curtail unsafe actions, and ultimately reduce construction accidents from a cognitive standpoint.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.141-142
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• 2011

This study is a relatively small scale compared to the massive construction company, construction company's safety management level of the low. A small architectural scene safety management is a necessity for basic research as a whole and of 67.20% died in the disaster, which killed the disaster scene in a small building. Small construction site for a reflections of the prevailing security situation, the existing literature and statistical data to determine what the issue, for the purpose of the proposal and come up with improvement measures.

• Proceedings of the Safety Management and Science Conference
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• 2011.11a
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• pp.23-34
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• 2011

Recently, carelessness on safety management in construction sites has caused a sharper upward trend in accidents and disasters, compared to the past. Therefore, this study analyzes the causes of accidents that occurred on construction sites in the year of 2010, and proposes preventive measures. The construction industry had a heavy death rate with 279 out of 418 deaths from falls in all industrial sites, accounting for 66.7%. And the causation analysis found a particularly high incidence of temporary structure-related accidents, with falling off scaffolding as the most common cause of accidents. According to the causation analysis of fall-down accident cases, accidents induced by protrusion on construction sites are a big contributor resulting in the deaths of 312, accounting for 74.8%, which is deemed to be due to site disorderliness. And to remove floor protrusions and to secure workers' traffic line and safety, neat and thorough site arrangement is necessary. Against collision, efforts must be made to prevent equipment-pedestrian crashes on site, which necessarily requires emergency lamps, alarm bells, and safety poles and blocks to be installed, lighting systems to be improved, obstacles to be removed, site supervisors to be assigned to construction equipment works, and workers to be more intensely trained and supervised.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.50-60
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• 2007

The endeavor of this paper focuses on designing a monitoring system to provide a cost-effective solution on quality assurance for construction projects. The construction site monitoring system integrates a long-range wireless network, network cameras, and a web-based collaborative platform. The users of the system could obtain the most updated status of construction sites, such as behaviors of workers, project progress, and site events anywhere with Internet connectivity. It was carefully configured in order to maintain the reliability under the reactive conditions of the construction sites. This paper reports the architecture of the monitoring system and reviews the related technologies. The system has been implemented and tested on a construction site and promising results were obtained.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1231-1236
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• 2009

Many work-related risk factors can cause construction site hazards. Therefore, safety management begins with measuring the magnitude of risk involved in a project. This study proposes a methodology for risk assessment of major trades at a particular construction site. To assess risk, this methodology integrates hazard severity and frequency, and their magnitude is calculated based on actual work-site hazards. This methodology also considers the influence factors that affect the frequency of work-related hazards. To select the appropriate influence factors, a two step approach is deployed. First, the predominant factors are identified through a literature review. Second, a selective process filters out the influence factors that are difficult to analyze quantitatively, and these extracted factors are weighted using expert surveys. Finally, the factors are combined and a quantitative risk assessment methodology is proposed.