• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.202-203
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• 2015

To promote the remodeling project it is important to get apartment residents' consent. It is significant variable to determine project to progress smoothly from planning stage which committee of association establishment sets up to establishment stage of association. On average, it takes about 1~1.6 year in planning phase which means before construction phase of remodeling. Therefore, it is very important issue to get apartment residents' consent in planning phase. In this research, we focused on residents' opinion and proposed solution of conflict with gathering residents' opinion to proceed remodeling project. By setting particular remodeling situation, related residents represented as agents made effort to efficient coordination to reduce total duration of decision making. Therefore, we proposed multi-agent based on fuzzy inference to simulate behavior of decision making on remodeling project effectively. From this method, optimal alternative is selected by considering each agents' attributes which represented by fuzzy set. This research will develope to further research for realizing concrete multi-agent based on fuzzy inference considering all stakeholders in remodeling project.

• Korean Journal of Construction Engineering and Management
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• v.13 no.4
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• pp.152-163
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• 2012

At the conceptual phase of a construction project, estimated construction cost is very important as it significantly influences the owner's decision-making. Accurate cost estimating, in the early stage of a public construction project, serves as a critical factor because initial decision-making effects the final cost of a construction project. However in the cases of Korean public apartment projects, excluding a few of the public owners, there is a problem in properly estimating construction cost due to the lack of construction cost estimating system. Thus, this research developed a public apartment cost estimating system using case-based reasoning that was suggested by a previous research with 66 cases of Korean public apartment projects. Based on the system experiments involving 19 public officers and 10 cases of Korean public apartment projects, the effectiveness of the system in terms of estimation accuracy and user-friendly was confirmed. As a result, the developed system has an error range of 1.47% to 13.74% and mean of 6.15%. In addition, the system was evaluated that it could greatly improve the current estimation task of public officers. Consequently, the results of this research can be used as a foundation for a technological advance in estimating construction cost and improving the accuracy and consistency of construction cost estimation.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.123-136
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• 2003

In multiple apartment construction project, BCWS is a critical management factor and has a great influence on the success of the project. Due to the many apartment buildings & facilities which produce numerous activities, there are several problems in making out a time schedule of work as well as production and management of precise BCWS from the allocation of resources. In this study, actual condition survey was executed in terms of the calculation and the management of BCWS. This study propose better solutions for efficient calculation of BCWS through the analysis of the problems and standard schedule & progress curves.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1059-1066
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• 2022

In 2020, it was estimated that more than 2.4 million households in South Korea are over 30 years old. That is, more than 40% of all houses in Korea are old and that they require proper rehabilitation. The two options to improve poor living conditions are reconstruction and remodeling. Compared to reconstruction, remodeling has advantages in terms of the construction period, cost, and environmental impact. As such, the current Korean regulations are more favorable for remodeling than reconstruction. Typically, several candidate floor plans are presented in the early stages of an apartment remodeling project. Extracting information about bearing walls and other structural elements from the multiple plans to compare those plans quantitatively is one of the essential tasks during the early stage of a project. To cope with this task, an automated data extraction method for walls and slabs from before and after remodeling plans is developed. Through the developed program, load-bearing walls, non-bearing walls, slabs, and weight changes after remodeling can be analyzed and visualized in a fast and automated manner.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.117-118
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• 2023

Estimating the construction period at the initial stage of the project and determining whether it is appropriate is very important for the developer's decision-making and the success of the construction company's business. Existing researchers have conducted various studies to calculate the appropriate construction period, but there is no study on the influencing factors and methodology for the construction period of beam-column PC apartment building frame construction. The purpose of this study is to calculate the PC member assembly time using the mathematical algorithm of PC member assembly. The results of this study can be used as basic data to calculate the construction date of the standard floor of PC construction.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.295-298
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• 2007

Recently, various problems have been occurred in Apartment reconstruction process. Such as, delaying schedule, additional cost increasing, etc. Those were caused by decision making which is lack of professionality in early phase of reconstruction process. Therefore, in this study proposed improvement plan by application of project management and construction management process in Apartment reconstruction project.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.12-20
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• 2017

The biggest reason to prefer the remodeling is a relatively short period of time (5~6 years) compared to the reconstruction work that takes 8~9 years. In addition, from the perspective that the period of temporary residence is usually 24 months, the necessity of shortening is greater. Also, since the remodeling construction period is approximately 28~35 months on average, the strategies and efforts are needed to make up for the shortening the remodeling construction period. For these reasons, this paper is to develop an estimating model for normal project duration of apartment remodeling project. This model is reflected in the remodeling properties thorugh difference analysis of the new apartment construction project. Demolition works, reinforcement works, extension works are different, so this paper newly defines these construction work's duration in normal project duraion of remodeling. Case study and experts interviews are used to validate normal project duration. This model can be used to calculate rough construction period each alternatives, and will help a strategic decision making among the stakeholders.

• Journal of KIBIM
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• v.6 no.4
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• pp.35-41
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• 2016

Learning effect is an observation that the more times a task is performed, the less time is required to produce the same amount of outcomes. The construction industry heavily relies on repeated tasks where the learning effect is an important measure to be used. However, most construction durations are calculated and applied in real projects without considering the learning effects in each of the repeated activities. This paper applied the learning effect to the repeated activities in a small sized apartment construction project. The result showed that there was about 10 percent of difference in duration (one approach of the total duration with learning effects in 41 days while the other without learning effect in 36.5 days). To make the comparison between the two approaches, a large number of BIM based computer simulations were generated and useful patterns were recognized using machine learning algorithm named Decision Tree (See5). Machine learning is a data-driven approach for pattern recognition based on observational evidence.

• Journal of the Korea Institute of Building Construction
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• v.8 no.1
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• pp.63-70
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• 2008

Management process of apartment buildings construction has increased because the after service of construction company meet the needs of customers. Many defect data, which was inspected by construction company or customers before moving into a new apartment house, were classified by field engineers and then communicated to corresponding subcontractors. The classification process needs to be performed by an expert engineer because there is so much data, it is unfeasible to complete in a short period of time. For this classification process, an automatic classification system using case base reasoning (CBR) should be considered. This research proposed a defect management system with automatic classification system using CBR. This constructed defect management system consists of cyber after service system for tenants and the whole defect management process of construction, preservation and management of apartment buildings. This system could improve the efficiency of expert work in terms of time and accuracy, as well as helping laymen users to conduct defect classification work as experts do.

• Journal of the Korea Institute of Building Construction
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• v.11 no.3
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• pp.221-228
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• 2011

This study is on the development of a System Dynamics Model for business feasibility analysis of an apartment house development project. In this study, we analyzed other apartment development projects and research projects, and identified the cash flow items, which consist of revenue and expenditure items. In addition, we made efforts to find the influence relationship among these using the system thinking method and developed a system dynamics model. In order to test the model, a case study was conducted in which it was applied to an apartment development project. Vensim, a System Dynamics Modeling and simulation software package was used to analyze and test the model. The model suggested in this study can help a developer to make decisions on project financing at the initial stage of an apartment house development project.