• Proceedings of the KSR Conference
• /
• 2004.06a
• /
• pp.1155-1162
• /
• 2004

This research proposes a new risk analysis method in order to guarantee successful performance of construction projects. The proposed risk analysis methods consists of four phases. First step, AHP model can help contractors decide whether or not they bid for a project by analysing risks involved in the project. Second step, the influence diagraming, decision tree and Monte Carlo simulation are used as tools to analyze and evaluate project risks quantitatively. Third step, Monte Carlo simulation is used to assess risk for groups of activities with probabilistic branching and calendars. Finally, Fuzzy theory suggests a risk management method for construction projects, which is using subjective knowledge of an expert and linguistic value, to analyze and quantify risk. The result of study is expected to improve the accuracy of risk analysis because three factors, such as probability, impact and exposure, for estimating membership function are introduced to quantify each risk factor. Consequently, it will help contractors identify risk elements in their projects and quantify the impact of risk on project time and cost.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.717-724
• /
• 2009

Most recent programs in and out of the country are related to urban renewal projects. Contemporary project management information systems have been developed was to manage single or multiple projects focusing on their construction phase, and those have limitations to apply to large-scale complicated mega projects. So, this study explain the core concept of decision support modules for iPMIS (Intelligent Program Management Information System) and its major functions to support project owner and participants by introducing ontology in the web environment. This study confined the scope of research to the planning phase of urban environment improvement projects. Ontological logic structure and relation about planning works is essential parts and three functions to implement decision support module are developed.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.1255-1255
• /
• 2022

Recently, research on digital twins to generate digital information and manage construction in real-time using advanced technology is being conducted actively. However, in the construction industry, it is difficult to optimize and apply digital technology in real-time due to the nature of the construction industry in which information is constantly fluctuating. In addition, inaccurate information on the topography of construction projects is a major challenge for earthmoving processes. In order to ultimately improve the cost-effectiveness of construction projects, both construction quality and productivity should be addressed through efficient construction information management in large-scale earthworks projects. Therefore, in this study, a 3D digital map-based AR site management work support system for higher efficiency and accuracy of site management was proposed by using unmanned aerial vehicles (UAV) in wide earthworks construction sites to generate point cloud data, building a 3D digital map through acquisition and analysis of on-site sensor-based information, and performing the visualization with AR at the site By utilizing the 3D digital map-based AR site management work support system proposed in this study, information is able to be provided quickly to field managers to enable an intuitive understanding of field conditions and immediate work processing, thereby reducing field management sluggishness and limitations of traditional information exchange systems. It is expected to contribute to the improvement of productivity by overcoming factors that decrease productivity in the construction industry and the improvement of work efficiency at construction sites.

• Journal of Construction Engineering and Project Management
• /
• v.2 no.3
• /
• pp.30-39
• /
• 2012

Design-build (D&B) has been broadly perceived as an effective project delivery method and become popular in the world. However, the implementation process of this innovative procurement method in Vietnam encounters difficulties due mainly to unfamiliarity and inexperience with the approach. Critical success factors (CSFs) which could be used to enhance the project execution are useful to practitioners in Vietnam if identified. A questionnaire survey was employed to identify CSFs of D&B projects in Vietnam. Parties' competence, especially financial capability, and contract documentation are the most important factors significantly affecting project success. It was also shown that the perspectives of two principal parties in D&B projects on the CSFs are statistically correlated. The identified CSFs were then validated with some various D&B projects. The execution results of CSFs' were compared with the projects' performance measured try key performance indicators (KPIs). The most important success factors of this study were also compared with other countries'. The validation and comparison results provide project participants with some useful information to perform D&B projects better. Practitioners should well perform the identified CSFs to enhance the chance of the success of D&B projects in Vietnam. The findings of this study are useful not only to Vietnamese practitioners but also to others who are concerned about D&B method and plan to employ it in Vietnam in future.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.3 s.19
• /
• pp.153-165
• /
• 2004

Most engineering tasks require collaboration between many users in major hospital construction projects that have many reconstructions. Loss and change orders occurred in factors such as information exchange, misunderstandings, advanced technology in hospital projects. Moreover, changes in context, costs, requirements, deadlines, etc. require negotiation of issues that may modify important project characteristics. The objective of this paper is to reduce reconstruction for the pre-construction process of hospital projects, reconstruction factors were analyzed in recent hospital construction project the system was established in order to solve reconstruction factors, and this system was validated through applying to the real project. Therefore it is a major challenge to make high level of communication and to have mutual understanding.

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.6
• /
• pp.84-93
• /
• 2012

The information generated from large and complex construction projects transfer and evolve in long-term business cycle. Therefore, while there is any problem, such as delay, the cause of the problem might relate to the previous business process rather than where it arises. However, for complex project players and business relationships, it is unsuitable to search an information flow using traditional retrieval methods. This research addresses a relationship-based information search system to analyze the information flow in large-scale and complex construction projects. First, we identified the components of the information retrieval system customizing for a large-scale complex construction projects, and then developed the inference algorithm which define the relationship between business processes. For the validation, we applied the system on a business information system of urban regeneration projects and suggested some application using information flow retrieval system for project players and project managers. Using the system, players are easy to prepare for their work process and managers can define the causal flow of the problem.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.379-380
• /
• 2023

The Post-Construction Evaluation and Management System has been operated over the past 20 years not only to analyze the performance of large-scale construction projects, and but also to provide useful reference data for future similar projects. Although the Post-Construction Evaluation and Management Center has been legally designated and operated since 2020, various problems have been occurring in the operation of the system. Accordingly, this study proposes strategies for facilitating Post-Construction Evaluation and Management System in terms of the following three aspects: (1) improving the implementation rate of post-construction evaluation; (2) improving the information management system related to post-construction evaluation; (3) improving the utilization of post-construction evaluation outcomes. Based on the results of this study, a specific action plan will be prepared, which is expected to contribute to the efficiency of construction project performance management in the future.

• International conference on construction engineering and project management
• /
• 2007.03a
• /
• pp.563-572
• /
• 2007

Transportation infrastructure is critical to economic growth of a country such as China. Careful evaluation of investments in traffic infrastructure projects is therefore pertinent. As traditional evaluation methods do not consider the uncertainty of future cash flows and mobility during project execution, the real option approach is gradually gaining recognition in the context of valuing construction and infrastructure projects. However, many of the cases only evaluate individual options separately although multiple options often exist in a typical large infrastructure project. Using a highway project in China as a case study, this paper first evaluates a deferment option and a growth option embedded in the project. Subsequently, the values are combined using the fuzzy analytical hierarchy process. It is found that the combined value is less than the sum of the two option values. This finding is consistent with the theoretical observations given in past real option literature despite the use of a different approach.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1599-1607
• /
• 2009

In order to deal with severe competition in the construction market of developing countries, large contractors must continually improve their own performance and operation. Performance measurement is the heart of ceaseless improvement in organizations. Key performance indicators (KPIs) play a key role in measuring project management performance (PMP) of large contractors in developing countries. The main objective of this paper is to identify KPIs, which can be used to measure PMP of contractors, and then analyze the underlying relationships of these KPIs in order to gain insight into PMP of large construction firms in Vietnam construction industry (VCI). Literature reviews and the pilot survey provided 30 KPIs. Fourteen KPIs, which have the mean values higher than 3.0, were considered as important KPIs through a questionnaire survey of 32 professionals. Factor analysis of these KPIs was employed to categorize them. The results of the survey revealed that top six KPIs are construction time and cost, owner satisfaction on services and products, and quality management and project team performance. Factor analysis uncovered that 14 top-ranked KPIs can be grouped under six categories, namely: (1) construction input management, (2) owner satisfaction, (3) cost and quality, (4) manpower management, (5) subcontractor performance and (6) equipment management. The findings of this research can be used as a guideline to measure PMP of contractors in Vietnam as well as in other developing countries. Since contractors from a country to the other country may have the same manner to manage construction projects, the results of this study may be useful not only to practitioners and researchers in Vietnam but also to participants in other developing countries.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2014.05a
• /
• pp.20-21
• /
• 2014

Recently, activation of related construction projects due to the large traditional gas resource development of frozen soil region of Russia are expected. It is necessary to provide a plan that can be utilized and collectively managed the occurrence data in the engineering & construction stage for continued contracts of the pipe construction. Therefore, this research is aimed to provide a management plan of occurrence data for efficient management in engineering & construction stage of pipeline business in frozen soil region. The data of the engineering & construction(related pipe construction projects) can be accumulated each version and multiply managed. Furthermore, I will be expected to be the foundation of the systematic management of the classifying based on metadata and the optimizing operations using big data method.