• 한국건설관리학회논문집
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• 제9권5호
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• pp.75-85
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• 2008

건설 산업은 국민 생활의 편의를 도모하고 산업의 기반시설을 구축하며 GDP의 약 17.5%를 차지할 정도로 국민 생활과 경제에 있어 중요한 위치를 차지하고 있는 국가 기반 산업이다. 그러나 건설 산업은 긍정적인 역할에도 불구하고 환경파괴, 저임금, 편향된 언론 보도 등으로 인하여 3D 업종, 비리, 부실, 비효율, 불신 등 부정적 이미지로 언론이나 일반 대중에게 투영되고 있는 것이 현실이다. 이로 인해 대학에서 건설관련 전공을 기피하는 현상이 발생하고 결과적으로 건설 산업으로 우수 인력 유입이 억제되고 있어 산업의 미래기반이 취약해 지고 있다. 또한, 건설 산업에 대한 R&D(Research and Development) 투자비 저조, 건설종사자들의 사기저하, 등 산업전반에 걸쳐 여러 문제점을 야기하고 있다. 본 연구는 건설산업이 21세기에 첨단산업의 하나로서 거듭나기 위해 건설 산업의 부정적인 이미지를 개선하고 우수인력과 연구개발을 위한 활발한 투자를 유치해 나가야 한다는 필요성에서 시작되었다. 특히, 건설 산업 이미지에 영향을 미치는 주요 요인을 체계적으로 찾아내어 구체적인 이미지 향상방안을 마련할 수 있는 기반을 마련하고자 하는데 초점을 맞추었다. 본 연구에서는 건설산업 이미지 영향요인 후보군을 도출하였고, 다양한 통계분석 기법을 활용하여 건설 산업 이미지 주요 영향 요인을 도출하였다. 연구 결과, 건설 산업 이미지에 영향을 미치는 정도는 건설업체 및 종사자의 도덕성, 건설업의 장래성이 가장 큰 영향을 미치는 것으로 나타났으며, 건설 산업 이미지 주요 영향 요인으로는 임금, 경제성장 기여도, 타 산업의 파급효과, 환경파괴성, 부동산투기 여부, 건설 종사자의 신뢰성, 건설업체의 장래 성장성, 건설업의 장래 부가가치성으로 분석되었다.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.407-416
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• 2007

The construction industry in South Korea is experiencing great changes: it is becoming developed on a larger scale, specialized to a high degree and rapidly incorporating with other industries. This development has resulted in higher demand of construction industry. Accordingly, the transparency and an objective method of evaluation in the process of projects in the construction industry are gaining more importance. Clients' and customers' needs also require more specific objective evaluation to find whether their projects are successfully performed or not. This study aims to discuss problems on the current post-evaluation items including the qualitative item analysis such as customer satisfaction. Moreover, this paper suggests the improved ways in which enable the application of the effective evaluation system to the construction industry.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.546-552
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• 2013

The future competitiveness of construction industry is dependent on K-12 students. However, unfavorable images of construction industry have negative influence on K-12 students' decision-making of their career. This negative image makes them not want to find out what actually happens in construction industry. Consequently, it is important to give K-12 students the opportunity to know what construction employees actually do in their job. Studies show that K-12 students who encounter the job early-on are more likely to choose it as their career. In this context, this paper proposes construction educational game in which it can serve as a medium for capturing K-12 students' interest in Construction Management (CM). Based on the literature reviews, challenges of construction educational game for K-12 students which are edutainment, hands-on experience and social interaction, are derived. To address these issues, conceptual model and scenario are designed. Based on designed scenario, prototype of Simulation based Construction Game in Virtual World (SCGVW) is developed in Second Life (SL) and applicability test to K-12 students are implemented. This paper concludes with a discussion of the lessons learned and the future development steps of the construction educational game for K-12 students.

• 디지털산업정보학회논문지
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• 제7권2호
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• pp.101-113
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• 2011

As information and communication technology advances driving the rapid evolution of e-commerce and e-business becomes on effective marketing means for both business and institutions, the industry deals with these changes and has a profound, positive impact on production and operations management. But the construction industry falls behind compared with other industries in productivity, informationalization, automatization and globalization. Especially even though the informationalization is inevitable in any developing society, a number of construction industries can hardly cope with it properly. As the construction industry gets informationalized and advanced, the introduction of PMIS (Project Management Information System) is making progress actively for the effective construction project control and productivity improvement in construction. With the government officials' political promotion and the rising desire for construction informationalization of enterprises, many are attempting to develop integrated systems or to replace a previous system with a more advanced alternative. Construction Industry, however, has the peculiar properties that the period for the completion of construction is limited and on top of that, most of its data processing systems are seen as being an early stage in the design of management information systems. As a result, there are extremely few applications in the construction industry. In this paper, we propose the PMIS system based on new model 4CM that improves on previous models.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1991년도 추계학술발표회 논문집 지반공학에서의 컴퓨터 활용 COMPUTER UTILIZATION IN GEOTECHNICAL ENGINEERING
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• pp.3-20
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• 1991

This paper wil1 describe the background and "dynamics" of system integration of construction industry. It wil1 address questions such as, why the construction industry needs to integrate work process through computer based system. Then it describes about 3D modeling, project, management, procurement, engineering data bases, construction CAE. Also the paper presents recent project experience at school environment.

• 대한토목학회논문집
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• 제30권2D호
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• pp.163-169
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• 2010

건설 계측 및 계측업은 IT산업 및 정보통신기술의 급격한 발달과 함께 빠르게 발전하였다. 그러나 건설 계측이 제대로 정착하기 위한 제도적 및 법적 뒷받침은 현실적으로 아주 미비한 실정이다. 따라서 건설계측분야의 현황에 대한 설문조사 결과를 반영하여 발전 방안을 검토하였다. 건설 계측 및 계측업이 발전하기 위한 방안으로 한국건설계측협회 및 학회 설립 검토, 건설계측업 지정을 위한 관련법 검토, 건설계측품셈 제 개정 검토, 건설계측관련 설계기준 및 시방기준 제 개정 검토, 건설계측 전문인력 실무교육기관 지정 검토, 계측기기의 성능검사전문기관 지정 검토, 계측기기의 하자담보책임기간 검토, 계측기기의 손망실 비율 반영 검토 등의 발전 방안을 제안하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2007년도 춘계학술논문 발표대회
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• pp.97-100
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• 2007

Recently, A demand on productivity improvement has required innovation of construction industry more than fast with a economy condition. A RFID is technology that can be effectively applied at the administration of physical distribution, labor, construction progress, etc at construction industry. Therefore, At this paper, A survey of staffs that work at construction site is practised to study application possibility of RFID technology at construction industry. It shows use possibility through a survey that investigated Recognition and application, etc at construction site. RFID technology is connected with other technologies by being based on this study construction industry will be advanced.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.1007-1012
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• 2005

Although the design-build (DB) delivery system has been taking great strides in the world and relevant researches have also been quite abundant, few studies have dealt with its potential impacts on the construction industry as a whole. This research first identified the potential entry barrier factors, which may hinder the market access, based on the theory of industrial economics and characteristics of DB project. Then through a nation-wide questionnaire survey involving 103 construction contractors and engineering consultants, the influences of each factor on company's competitiveness and corporate strategies were scrutinized, and consequently, the evolution of the construction industry was examined. It is found that as opposed to the traditional design-bid-build delivery system, the DB delivery system elevates competitive advantages of large organizations in terms of the financial capability, working experience, human resource, and administrative strength, and among them, the financial strength was concluded to be the most significant force in differentiating corporate strategies and widening the gap of competitiveness between companies. It is inferred if the government extensively adopts DB delivery system, large organizations that already possess the competitive advantage tend to obtain both design and construction abilities, and dominate the DB market. Small and medium sized companies will find little room to maneuver and be forced to become specialty sub-contractors.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.162-169
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• 2022

In an attempt to disseminate modernized Korean traditional housing (Hanok), a ten-year research project was initiated in 2010 by the Korean Government to reduce the construction cost, improve the facility performance, and automate the Hanok construction industry. To meet these objectives, various research areas, including public policies, planning methods, design standards, new building materials, construction standards, maintenance procedures, advanced project management tools, and integrated IT applications have been developed. In addition, comprehensive technologies developed were applied to the ten pilot Hanok buildings to validate the real-world performance as part of the research project. To further facilitate the digital transformation of the Hanok industry by using the research results, it is required to disseminate the developed technologies in an automated and standardized manner. In particular, it is crucial to systematize and manage the interoperability of various technical data and accumulated historical data for different business functions, especially within the highly fragmented industry. In this context, this paper proposes an ontology-based Hanok information dissemination platform to enable industry-wide automated knowledge and information sharing. The system architecture, standardized historical database, and advanced analytics based on ontology web language (OWL) for the Hanok industrialization platform are introduced.