• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.115-123
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• 2010

Defects in apartments, which are one of the major residential types in Korea,produce unexpected inconvenience for their owners. If construction companiespaid more careful attention to the management of defect information, manydefects could be prevented. In this context, this study attempted to derive an improved defect information management system. First, research into cases of defects that were caused by weaknesses in the defect information management system were advanced to confirm the necessity of improving the defect information management system, and as the next step, a survey was conducted to identify problems with the current defect information management system, and the requirements of animproved system. In conclusion, an improved defect information management system will contribute to preventing defects in apartments in Korea.

• The Journal of Sustainable Design and Educational Environment Research
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• v.9 no.3
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• pp.1-11
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• 2010

In the construction industry, IT based information system has been diversely applied to increase productivity. Although IT device such as PDA, RFID, Barcode, wireless network and web camera has been introduced to gather information in construction site, the effect of the IT device is limited, because of bringing about additional works of engineer. In this paper, we proposed a defect management system which is based on handwritten document digitalization framework for introducing applicability of new IT device, digital pen. By the proposed system, we can effectively gather and input defect information to defect management system by using digital pen and paper like conventional way. Applying the data gathering device, digital pen to defect management, it is able to increase productivity by improving work process, building up and utilizing defect information database of good quality.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.300-314
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• 2013

Defects on apartment which is one of the major residential types in Korea have produced unexpected inconveniences to owners of apartments. If construction companies paid more careful attention to defect information management, a lot of flaws could be prevented. In this situation, this study attempted to seek improved defect information DB management system. First, research on defect information DB management system of large construction firms was conducted to confirm necessities of improved system. Following survey showed problems of current defect information DB management system and the need of improvement. The study came up with remedies expected to contribute to preventing faults.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.13-21
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• 2019

The purpose of this study is to suggest an Improvement Model of defect information management system. The improvement model adapts methods for the residents to input defect information correctly and share to defect information with construction company. The adapted research method is review for existing defect information management system and suggested for data flow diagram of improvement model. The results of this study are as follows: The basic design of the information input window of the defect information management system for connecting with big data was made. And 5 point scale was applied to evaluate the convenience, simplicity, accuracy, necessity, and usability of the improvement model. It is evaluated that the economic effect caused by using the improvement model is saved by about 151 million KRW compared to the existing method. The Improvement model is used utilize big data in correct defect management and decision making.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.35-43
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• 2023

Along with the increase in Multi-unit housing defect disputes, the importance of defect management is also increased. However, previous studies have mostly focused on the Multi-unit housing's 'common part'. In addition, there is a lack of research on the system for the 'management office', which is a part of the subject of defect management. These resulted in the lack of defect management capability of the management office and the deterioration of management quality. Therefore, this paper proposes a machine learning-based defect data management system for management offices. The goal is to solve the inconvenience of management by using Optical Character Recognition (OCR) and Natural Language Processing (NLP) modules. This system converts handwritten defect information into online text via OCR. By using the language model, the defect information is regenerated along with the form specified by the user. Eventually, the generated text is stored in a database and statistical analysis is performed. Through this chain of system, management office is expected to improve its defect management capabilities and support decision-making.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.5-6
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• 2011

Defect dispute has been a continuous claim that concerning a apartment building. However, objective standard of judgment is inadequate to solve defect dispute. Furthermore, it need to scientific evidence that composited standard of judgment. This evidence has a necessary to collect a data for a long time and systematically analyze. Therefore, it need to develop smart information management system, in this study, it review user-oriented condition as swot analysis.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.140-150
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• 2005

Recently, quality inspection and defect management have been considered as one of the major issues for increasing customer satisfaction and corporate image in domestic construction industry. However, the quality inspection and defect management have not been performed systematically because of insufficient field managers, the excessive amount of documents, complicated work process and difficulty in communicating construction information. Therefore, the field manager could not perform the quality inspection and defect management work in time as well as the reliability of recorded quality and defect data was decreased. The primary objective of this study is to propose a quality inspection and defect management system using information technology which enables field managers to efficiently gather the information of defection in apartment housing. It is anticipated that the effective use of the proposed system would be able to imp개ve communication among the related participants and systematically accumulate data that might be used in similar construction projects.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.369-376
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• 2013

Finance Information System is critical national infrastructure. Therefore it is important to select variables of defect causal factor for the system defect management effectively. We research and analyze detected errors in A Company's Finance Information System for three years. In the result of research and analysis, we have selected 9 variables of defect factor: the trading volume, the fluctuation of KOSDAQ index, and the number of public announcements, etc. Then we have assumed that these variables affect real system errors and analyzed correlation between the hypothesis and the detected system errors. After analyzing, we have extracted the trading volume, the number of orders and fills, changing tasks, and the fluctuations of NASDAQ index as valid variables of defect factor. These variables are proposed for failure prediction model as the variables to manage defects in the finance information system afterward.

• Information Systems Review
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• v.14 no.2
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• pp.103-115
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• 2012

Improvement of the capability to cope with risk based on prior preventive management is very important for efficient operation of financial information system. In order to do this, understanding, analysis, and countermeasures for the risk that happened already in the past is essential. In this study, the defect data which happened in the financial information system including account system, business system and data feeding system during 4 years and 5 months were categorized and analyzed by the domain, defect factors, period, day of the week, phases of software development, and defect cause. As a result, it was identified that the defect data had characteristics and trends along the phase of software development, day of the week, and the cause, also that building risk prediction model was necessary for the risk management of whole financial domain due to the relation of the information systems.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.135-138
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• 2010

In the construction industry, construction management system using information technology has been applied diversely to increase productivity. Although IT device such as PDA, RFID, Barcode, wireless network and web camera has been introduced in construction site, the usage of these device is restricted, because these cause engineer to do additional work. The suggested process using Digital Pen in this study, which can lessen engineer's additional work, get defect data promptly. Also accumulated data is utilized effectively for analyzing construction site. The purpose of this study is to introduce Digital Pen System as a means of construction data acquisition for improving productivity.