• International conference on construction engineering and project management
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• 2009.05a
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• pp.1503-1508
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• 2009

The paradigm of urban generation does not lie in physical development/maintenance such as urban redevelopment any more. The paradigm is shifting to balanced activation of administration / management functions including central commerce/business functions, broad culture/tourism functions, international functions and adequate level of residence functions. The urban regeneration project aims to restore functions of cities by physical/environmental, living/cultural and industrial/economical regeneration and is managed differently from existing projects in that it includes multiple sub-projects in it. The overall projects management should be by managing the value sought by the urban regeneration project and multiple other sub-projects. The objective of this study is to present various methods of value management in order to avoid conflicts between various objectives within the said project. It aims to provide the value management methods for decision making by understanding correlatedness between values of various projects and prioritizing them.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.847-855
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• 2009

While many studies on feasibility analysis for housing projects have been released, the main focus was on economic feasibility and factors related to developers were not clearly identified enough to be used in practice. In order to establish a feasibility analysis model for apartment development projects requested by developers in Korea, 31 driving factors behind projects' success were identified under seven different categories. Criterions of the each factor were also developed, and weight of each factor was assigned by applying the Analytical Hierarchy Process(AHP). Finally, based on the Monte Carlo simulation, the feasibility analysis model was established, providing probability distribution of project's grade. The model was applied to 12 housing projects to verify its reliability, and found that the model properly filtered projects that are unlikely to be profitable, indicating reasonable reliability of the model. The model can be a useful tool for contractors, especially with less experience in analyzing project development feasibility.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.354-360
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• 2009

The demands for large-scale construction projects such as Mega-projects are largely increasing due to the rapid growth of increasing populations as well as the need to replace existing buildings and infrastructure. Increasing costs of materials, supplies, and labors require the first cost estimates at the preliminary planning stage to be as accurate as possible. This paper presents the results obtained from the survey on evaluating nine critical success factors that influence the accurate first cost estimates for large-scale projects from practical experiences. It then examines the current cost structures of construction companies for large-scale projects, followed by the causes for cost and schedule overrun. Twenty completed surveys were collected and the Analytic Hierarchy Process was applied to analyze the data. The results indicate that technology issues, the contract type, and social and environmental impacts are the significant leading factors for accurate first cost estimates of large-scale construction projects.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1591-1598
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• 2009

Recently, the researches on the urban regeneration projects have been performed very actively. It is a part of the effort that solves some social and economical problems occurred by deteriorated buildings and degraded infrastructures through new urban regeneration projects or redevelopment projects. However, the urban regeneration projects show the characteristics that can not guarantee in the project performance because the projects have various and complex stakeholders related to these projects and are exposed to lots of risks due to its huge scale. This study proposed the risk performance index method to improve the efficiency of the overall performance measurement for a mega-project by extending from the traditional cost/schedule based performance measurement system. The risk performance index method proposed in this study has a similar system to the EVMS, and makes possible to perform a three dimensional integrated performance measurement in cost/schedule/risk through 18 different indexes that compose the risk performance index.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.892-896
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• 2005

This paper collected 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake. Regression analysis was implemented to build the prediction model of the cost and the duration for the collected projects. It is found that the cubic regression models are capable for predicting the cost and the duration of the projects contracted by the central agency of which the contracting awarding approach was based on the most advantageous tendering (MAT) approach. On the other hand, power regression models are capable for predicting the cost and the duration of the projects contracted through the low bid tendering (LBT) approach. It is also found that the performance of the regression prediction model differs in accordance with organizations that contracted the reconstruction projects.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.162-167
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• 2011

Construction projects are full of risks. This is particularly the case in civil construction projects that are often featured with large scale, complexity and involving a large number of participating parties. The eventuation of risks typically results in extended project durations leading to an increase in the total project budget. The consequence can be amplified considering the significant impacts of civil construction projects on the society, from economical, environmental and social perspectives. This research investigates the significance of risks within civil construction projects and approaches to deal with risks. Semi-structured interviews were undertaken with local industry practitioners in South Australia on this matter. It is found that the industry is fairly aware of risks associated with civil construction projects and subsequently has procedures in place to attempt to minimize the impacts of these risks on the project outcomes. The interview results also indicate that there is limited utilization of software for the risk management purpose from the cost estimation perspective.

• Korean Journal of Construction Engineering and Management
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• v.25 no.4
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• pp.66-81
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• 2024

Identifying the root causes of substandard construction projects is crucial considering the social and economic issues structural failures can cause. To date, the focus has predominantly been on identifying and penalizing the culprits rather than uncovering the fundamental reasons. Therefore, this study aims to identify various factors that contribute to failures in construction project quality management, including aspects of substandard construction projects, and determine the relationship between these factors and substandard construction projects. Through a literature review and case analysis, 61 influential factors were identified. A survey targeting participants including structural designers, architectural designers, construction companies, CM, and researchers was conducted to gauge the consensus on these factors. A regression analysis was performed based on data from 724 survey respondents. Ultimately, based on the 17 key influencing factors identified by the regression analysis, 9 preventive measures against substandard construction projects were proposed. This study is significant as it elucidates the reasons behind construction project quality management failures that lead to substandard construction projects and establishes a framework for developing practical solutions to real-world problems rather than theoretical or abstract ones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4897-4911
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• 2015

Technology developments accelerate the change of the society and companies with unparalleled pace, so large scaled projects are in progress urgently. Large scaled projects deal with high technologies and massive tasks, and these need enormous labor force and costs, it is necessary to manage strategic conflicts based on human psychology and complex system theory. However, traditional management plan fails to suggest practical mechanism for successful projects. We study failure cases and key elements, leadership for projects, and suggest project management plan with psychological and behavioral economy approach by focusing on complexity and conflict structure on large scaled projects. Project behavior management plan, suggested in this study, is designed with phased strategy and practice to solve the failure of large scaled IT projects originally and preemptively. We verified the effectiveness of behavior management plan suggested by investigating experts and working groups, and stable projects are to be progressed with introducing this plan on large-scaled projects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.72-80
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• 2016

The market size of plant projects in overseas is so large that domestic EPC project contractors are actively seeking the overseas projects and then trying to meet completion plans since successful fulfillment of these projects can provide great opportunities for them to expand into new foreign markets. International EPC projects involve all of the uncertainties common to domestic projects as well as uncertainties specific to foreign projects including marine transportation, customs, regulations, nationality, culture and so on. When overseas project gets off-schedule, the resulting uncertainty may trigger unexpected exceptions and then critical effects to the project performance. It usually require much more time and costs to encounter these exceptions in foreign sites compared to domestic project sites. Therefore, an exception handling approach is required to manage exceptions effectively for successful project progress in foreign project sites. In this research, we proposed a methodology for prediction and evaluation of exceptions caused by risks in international EPC projects based on sensitivity analysis and Bayesian Networks. First, we identified project schedule risks and related exceptions, which may meet during the fulfillment of foreign EPC projects that is performed in a sequence of engineering, procurement, preparatory manufacture, foreign shipping, construction, inspection and modification activities, and affect project performance, using literature review and expert interviews. The impact of exceptions to the schedule delay were also identified. Second, we proposed a methodology to predict the occurrence of exceptions caused by project risks and evaluate them. Using sensitivity analysis, we can identify activities that critically affect schedule delay and need to focus by priority. Then, we use Bayesian Networks to predict and evaluate exceptions. Third, we applied the proposed methodology to an international EPC project example to validate the proposed approach. Finally, we concluded the research with the further research topics. We expect that the proposed approach can be extended to apply in exception management in project management.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.209-224
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• 2019

When evaluating the performance of a NPD(New Product Development) project, it is common to evaluate the project performance according to the achievement of the planned goal in terms of time, quality and cost management, which are usually three main constraints of the project. The evaluation of the financial factors by which sales contributed to the return of the company is more influential. This is why companies need to increase sales and raise profits. Therefore, it is more reasonable to evaluate the sales performance of NPD projects over a certain period of time against the input costs. At this time, we can analyze the causes of inefficient projects and compare them with other projects and find out how to improve the sales performance to help the company increase its competitiveness. In this paper, we analyze the relative efficiency of the sales performance on the input of the projects by using the actual sales in the period of one year after mass production of the NPD projects of 'S' company in ICT industry. Input factors include developer resource and development cost for the NPD reported after the project has been completed, the delay weeks for the schedule targeted at the project planning stage, and the number of quality issues due to development design faults during initial mass-production. The sales figure and the contribution margin of the product after one year from the start of mass production are defined as the output factors. In this paper, we analyze the efficiency of the projects by using data envelope analysis (DEA). As a result, we found out the reason of the inefficient project of DMUs according to the differences in the characteristics of the efficient and inefficient B2B markets based on the result of DEA of NPD projects. Thus, the goal of this paper is to identify strategies for improving sales performance of NPD projects in inefficient markets.