• International conference on construction engineering and project management
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• 2005.10a
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• pp.341-346
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• 2005

After the IMF shock, some major construction companies in Korea have been motivated to avoid and mitigate various risk factors which could be critical and catastrophic events to corporate revenue and organization internally or externally. It means that they are trying to introduce and set up a risk management plan and system suitable to their organization and culture. L construction co. ltd. is one of major construction companies that have been searching methodologies or technologies to manage various risk factors surrounding corporate marketing and project operation. This paper presents an unique approach to develop a model of risk management plan and system suitable to L construction itself focused on the construction phase.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2003.10a
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• pp.162-163
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• 2003

The Eco-2 Project presents a win-win strategy for the environment and for the economy (ECO-2 is an abbreviation of Ecology and Economy), The project was initiated by the Korean Ministry of the Environment to promote the development of an environmental industry technology as a means of driving national development in this sector. Our project work belongs to the category of integrated environment management technology, and is described as a development and utilization of risk assessment and analysis system for integrated environmental management in municipal and industrial areas. The goal of our project is to develop available system software in health and ecological risk assessment and to offer it as Decision Support System (DSS) to aid the effective management of environmental risk in municipal and industrial areas in Korea.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.237-255
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• 2006

This study was exploratively performed to demonstrate the management behavior of the public software project in korea. In this study, 167 auditing reports on the public software project which were carried out during $1999{\sim}2003$, were employed and surveyed. Survey reveals that quality management was the most neglected in process of software project management relative to other 12 management areas. And configuration management, risk management, time management, and scope management follow up in order in its vulnerability in software project management.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.629-630
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• 2015

'Sabine Pass Liquefaction Project (SPL Project)', a case study in this report, is the first construction project of a U.S. liquefaction facility for shale gas export overseas. This study analyzes the SPL Project to give understanding and a guideline to Korean EPC companies by benchmarking about effective risk-sharing strategies on EPC contracts. This study consists of three parts. The first summarizes the liquefaction process adopted on the SPL Project, named the 'ConocoPhillips Optimized Cascade Process', and compares it with other competitive liquefaction processes. The second introduces the unique features of the SPL EPC contract by comparing it with two other EPC forms of contracts: a FIDIC Silver Book for onshore plant projects and a contract of an offshore oil production (FPSO) project. The third focuses on the complexity of project financing (PF), especially lenders control and impact on the EPC contract such as covenant provisions to constrain variations and changes on the EPC Contract. From these conclusions, it is anticipated that this case study can provide a guideline for successful performance of Korean EPC contractors overseas.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.491-496
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• 2008

In spite of economic slump, the Real Estate PF(project financing) market competes for receiving large project orders. While the project is successful, the Real Estate PF still guarantees a high benefit ratio. But the initial stage of the project involves many risks. There are many financial, constructional, legal, and other risks. After searching for possible risks, we must consider a management plan. This study executed a question investigating risk factors and management plans. Those who have studied for 3 or more years have concluded that the question objects are developer, construction company, and financial institution staff. The main management plans take actions for proper benefit rate security and loan repayment. This study has also been verified through the actual case. The study results will help solve the Real Estate PF project's risks.

• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.117-126
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• 2011

With Public-private partnership PF (project financing) deals saw explosive increase in quantity since its introduction to Korea in 2001, but, met with severe recession in the fallouts of the financial crisis that hit the global economy in 2008. This study intends to identify the risk factors corresponding to issues of public-private partnership projects financing structure and classify and analyze them by project phase. Outcomes of this research are expected to help recognize risk factors in each project phase during project planning and develop risk control and mitigation strategy during project implementation.

• Journal of the Korean Operations Research and Management Science Society
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• v.5 no.1
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• pp.61-72
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• 1980

This paper is an attempt at developing a method for the analysis and estimation of the effects of project disruptions due to uncertainties. Such uncertainties may result from design changes in large-scale, complex, research and development, or construction projects. An entropical risk analysis method is developed. The method is able to estimate the project capacity to handle equivocation due to design changes and the effects of project disruptions. In an attempt to evaluate the predictive capability of the method, it is compared with the results obtained by a computer Monte Carlo simulation program. It is shown that the entropical risk analysis method may be suggested as an expedient means of evaluating project status for management in the different stages of project execution.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.137-137
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• 2007

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.373-378
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• 2006

Recently the technical advances and complexities have generated much of the difficulties in managing the project resources, for both scheduling and costing to accomplish the project in the most efficient manner. The project manager is frequently required to render judgments concerning the schedule and resource adjustments. This research develops an analytical model for a schedule-cost and risk analysis based on visual PERT/CPM. We used a three-step approach: 1) in the first step, a deterministic PERT/CPM model for the critical path and estimating the project time schedule and related resource planning and we developed a heuristic model for crash and stretch out analysis based upon a time-cost trade-off associated with the crash and stretch out of the project. 2) In second step, we developed web-based risk evaluation model for project analysis. Major technologies used for this step are AHP (analytic hierarchy process, fuzzy-AHP, multi-attribute analysis, stochastic network simulation, and web based decision support system. Also we have developed computer programs and have shown the results of sample runs for an R&D project risk analysis. 3) We developed an optimization model for project resource allocation. We used AHP weighted values and optimization methods. Computer implementation for this model is provided based on GUI-Type objective-oriented programming for the users and provided displays of all the inputs and outputs in the form of GUI-Type. The results of this research will provide the project managers with efficient management tools.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.3
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• pp.137-149
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• 2005

This study proposes a framework enhancing the accuracy of estimation for project duration by combining linear Bayesian updating scheme with the learning curve effect. Activities in a particular project might share resources in various forms and might be affected by risk factors such as weather Statistical dependence stemming from such resource or risk sharing might help us learn about the duration of upcoming activities in the Bayesian model. We illustrate, using a Monte Carlo simulation, that for partially repetitive projects a higher degree of statistical dependence among activity duration results in more variation in estimating the project duration in total, although more accurate forecasting Is achievable for the duration of an individual activity.