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Dive into the research topics where Seunghee Kang is active.

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Featured researches published by Seunghee Kang.


Korean Journal of Construction Engineering and Management | 2014

Growth Model for Korean CM Firms based on 2012 Statistics

Youngsoo Jung; Dongwoo Shin; Seunghee Kang; Namjoon Kim

CM services have been increasingly practiced over the two decades in the Korean construction industry, and recent efforts focus on further development in advanced CM capabilities and expansion to overseas market. However, there has been lack of holistic research to investigate current status and future direction of CM industry in Korea. In this context, the purposes of this study are 1) to analyze current status of Korean CM industry in terms of owners, market, CM firms, contracts, and work scopes, 2) to define different types of CM practices, and 3) to propose growth models for Korean CM firms based on the defined CM project types. An extensive literature review and statistical analysis of 2012 CM contracts were performed in order to analyze the CM status. Based on the analyses, ten different CM types are defined, and growth paths of CM firms are illustrated. Implications and lessons learned during the statistical analysis and workshops are briefly introduced as well.


Korean Journal of Construction Engineering and Management | 2012

Data Acquisition Technology (DAT) Selection Algorithm for Automated Progress Measurement and Management

Seunghee Kang; Youngsoo Jung

Progress measurement provides project participants with valuable information in terms of `current status`, `corrective countermeasure`, and `forecast of future risks`. However, the managerial effort (or workload) required to acquire and maintain detailed progress data has been the major barrier to practical implementation. Even though recent efforts in utilizing data acquisition technologies (DATs) have actively attempted to automate the progress measurement process, previous DAT research has only been focused on limited construction tasks or selected technologies. This paper proposes a DAT selection algorithm that automatically assign an appropriate DAT for every commodity item for an entire constriction project. Five different criteria were identified and developed in order to comprehend specific requirements for automating the progress measurement of each commodity group. A case-study and also a survey from practitioners were conducted in order to validate the proposed methodology.


Korean Journal of Construction Engineering and Management | 2016

Interoperability Analysis for BIM software Based on User-defined Properties

Seunghee Kang; Jiwon Ha; Taehwan Ju; Youngsoo Jung

Abstract : The utilization of Building Information Modeling (BIM) has increased in order to enhance the integration of information for management and resources throughout the construction projects. Therefore, various BIM softwares have been used under open BIM environments in the building and plant construction industry. However, it has obstructive factors due to the lack of interoperability. In order to address this problem, this study conducted an interoperability analysis of BIM software focused on user-defined properties for enhanced function and efficiency. Result of the analysis shows that authoring tools have more interoperability problems than viewer tools and simulation tools have. In terms of interoperability, user-defined properties outperforms than those of system basic properties and logic data. Therefore, it was found that functional improvement and workload minimization in BIM can be attained by applying the GBS (an user-defined property for automatic manipulation of BIM proposed by Jung et al. 2013) that enables automatic link between geometric data and non-geometric data. In this respect, this study concludes that the application of user-defined property (e.g. GBS) can be an effective method for information integration throughout construction projects.


Korean Journal of Construction Engineering and Management | 2016

Strategy for Various CM Applications based on Comparative Case Analysis

Namjoon Kim; Youngsoo Jung; Seunghee Kang; Dongwoo Shin

Abstract : Domestic CM market has continued to grow since the enactment of CM policies in 1996. In addition, future CM market is forecasted to have potential high growth. Therefore, it is necessary to apply various CM business models reflecting the owner’s requirements and characteristics in order to improve in the CM industry and to strengthen the competitiveness in the overseas construction market. In this context, the purpose of this study is to suggest strategies of various CM applications based on comparison of 4 cases analyzed by ‘business weight’ and ‘business depth’ in terms of business function as well as by the types of ‘CM market’ and ‘CM practice’. Result of this comparative analysis shows that each case presents differences in terms of type, business weight, and business depth of CM practice. However, domestic public CM services are currently being challenged to strengthen capability throughout the project life-cycle against the limitation of government’s CM policies focused on the construction supervision. In order to address this problem, this study proposes the strategies of various CM applications from several different perspectives.


Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) | 2018

Issues and Needs for Standard Classifications for Facility Management in Smart Manufacturing

Zhenhui Jin; Seunghee Kang; Youngsoo Jung; Chang-Gwon Koo; Seong-Hoon Choi

As construction projects become larger and more complicated, the importance of information sharing among various project participants throughout the entire life-cycle of a facility is ever-increasing. Establishment of standard classification system is the most fundamental task for systematic and efficient management of construction information. In recent years, technology advancement of smart manufacturing, which is for intelligent factories supported by ICT combined with existing manufacturing technology, is becoming a key issue. However, due to the lack of information exchange (IE) standards for the management of smart manufacturing’s construction and operation, it is very limited for various construction participants to generate and share information by using the standards. In addition, each standard classification should be used in a combined manner in order to improve information processing efficiency. Standard classification requires a variety of facets such as facility, space, element, and work section. The purpose of this study is to propose a physical breakdown structure (PBS) that best reflects distinct characteristics of smart manufacturing. Firstly, the influencing factors for defining PBS were identified. A methodology for creating the facility classification suitable for smart manufacturing was then developed. Finally, cost breakdown structure (CBS) and work breakdown structure (WBS) were developed by combining the PBS and other standard classifications. This casestudy of CBS and WBS formulation were used as a validation for the proposed methodology. The concept of “flexible WBS” by Jung and Woo [6] were utilized in this case study as well, in order to accommodate the managerial requirements of an owner organization from the display industry.


Journal of Construction Engineering and Management-asce | 2007

Knowledge-Based Standard Progress Measurement for Integrated Cost and Schedule Performance Control

Youngsoo Jung; Seunghee Kang


Safety Science | 2008

Assessment of safety management information systems for general contractors

Youngsoo Jung; Seunghee Kang; Young S. Kim; Chongyon Park


Architectural Engineering Conference (AEI) 2006 | 2006

Strategic Knowledge Management for Building Engineering and Construction

Youngsoo Jung; Seunghee Kang; In-Sung Choi


Korean Journal of Construction Engineering and Management | 2014

Policies and Tasks for Improving Korean CM Industry

Seunghee Kang; Youngsoo Jung; Namjoon Kim; Dongwoo Shin


Gerontechnology | 2012

Full paper: Cost effective sensors for automated progress measurement and management

Youngsoo Jung; Jiwon Ha; Taehwan Ju; Seunghee Kang

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