• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.351-374
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• 2018

Purpose: The collective civil complaint problem is considered as important obstructive factor of the nuclear power plant construction project's success and quality. Therefore, this study demonstrate the factors which can affect the settling collective civil complaints, and also suggest the improvement of the resolution. Methods: This study collected the data of Kori Nuclear Power Division staff, local residents and Hanul Nuclear Power Division staff, local residents, and use them for analysis. Results: The results are twofold in the study: First, the 'Situation Recognition' and 'Mutual Cooperation' which are independent variables for solving collective civil complaints have proved to give positive influence on both the nuclear staff and the local residents about the complaint resolution outcome of the dependent variable. Second, the moderation variable 'Expected Benefit' on the influential relationship between the collective civil complaint resolution factor and the civil complaints resolution outcome proved to have a moderating effect only on the nuclear staff. On the other hand, moderation variables 'Time of SOC Business Implementation' and 'Time of Compensation' proved to have a moderating effect only for the local residents. Conclusion: According to the results, the staff have a positive opinion on the benefits of the nuclear power plant construction, while residents feel strongly that they do not get any benefit from the construction despite of tremendous investment and expected benefit in local area. As this results, policy implementation which is superable different understanding is required.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.252-259
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• 2013

Building Information Modeling (BIM) is utilizing CAD technology in a way that ultimately ties all the components of a building together as objects imbedded with information, and has been changing the way we design and build over the last 20-30 years. In Polytechnic Institute of NYU, there are four BIM courses offered which provide students with different levels of knowledge regarding BIM Technique, BIM Standards, BIM Guideline and Roadmap for Private and Public Implementation, BIM Application in Real Projects, the Cooperation of BIM and IPD for Public Works in New York City. With advanced BIM technology, BIM's integration into the construction process and its incorporation into project delivery systems, especially Integrated Project Delivery (IPD) are the bridges between technology, industry and research. This paper presents an integrated BIM curriculum with three modules: 1) BIM functions and Bid Preparation; 2) Time-Cost Trade-off Analysis; and 3) Problems Solving in BIM/IPD Environment. In this project-based curriculum developed by the common efforts of academia, public agency and industry, the objectives are: (1) to provide the information and skills needed to successfully implement BIM into the construction phase; (2) to identify BIM's role in construction and the project delivery system; (3) to develop a module in conjunction with leading BIM into project delivery system, particularly coordination between BIM and IPD; (4) to connect technology and research into industry. The course assessment was conducted and the results indicate that it is a successful reform in construction management education.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.403-411
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• 2013

Horizontal construction projects such as oil and gas pipeline projects typically involve repetitive-work activities with the same crew and equipment from one end of the project to the other. Repetitive scheduling also known as linear scheduling is known to have superior schedule management capabilities specifically for such horizontal construction projects. This study discusses on expanding the capabilities of repetitive scheduling to account for the variance in production rates and visual representation by developing an automated alignment based linear scheduling program for applying temporal and spatial changes in production rates. The study outlines a framework to apply changes in productions rates when and where they will occur along the horizontal alignment of the project and illustrates the complexity of construction through the time-location chart through a new linear scheduling model, Linear Scheduling Model with Varying Production Rates (LSM_VPR). The program uses empirically derived production rate equations with appropriate variables as an input at the appropriate time and location based on actual 750 mile natural gas liquids pipeline project starting in Wyoming and terminating in the center of Kansas. The study showed that the changes in production rates due to time and location resulted in a close approximation of the actual progress of work as compared to the planned progress and can be modeled for use in predicting future linear construction projects. LSM_VPR allows the scheduler to develop schedule durations based on minimal project information. The model also allows the scheduler to analyze the impact of various routes or start dates for construction and the corresponding impact on the schedule. In addition, the graphical format lets the construction team to visualize the obstacles in the project when and where they occur due to a new feature called the Activity Performance Index (API). This index is used to shade the linear scheduling chart by time and location with the variation in color indicating the variance in predicted production rate from the desired production rate.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.203-213
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• 2007

In the past, several construction projects have exceeded their schedule resulting in financial losses to the owners; at present there are very few methods available to accurately forecast the completion date of a project. These nay be because of unforeseen outcomes that cannot be accounted for earlier and because of deficiency of proper tools to forecast completion date of said project. To overcome these difficulties, project managers may need a tool to predict the completion date at the early stage of project development. Bayesian Inference introduced in this paper is one such tool that can be employed to forecast project progress at all construction stages. Using this inference, project managers can combine an initially planned project progress (growth curve) with reported information from ongoing projects during the development, and in addition, dynamically revise this initial plan and quantify the uncertainty of completion date. This study introduces a theoretical model and proposes a mathematically information-based framework to forecast a project completion date that corresponds with the actual progress data and to monitor the modified uncertainties using Bayesian Inference.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.142-148
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• 2011

Recently, much attention has been increasingly paid to the efficiency of the delivery system in order to manage construction project in a smooth and effective way. The integrated plan in consideration of the life cycle of building is required for the effective and integrated management of information in a huge amount. To this end, collaboration between each field is indispensable from the beginning of project. But there is a limitation that the designer and the constructor sign the contract separately in the conventional delivery system. In the US, the recent trend is that the Integrated Project Delivery (IPD) has been introduced to improve the effectiveness of project management in an increasing number of the cases where project is implemented by utilizing the IPD. In Korea, there is also an increasing need to introduce the IPD for the integrated project management. Consequently, the purpose of this study is to examine and analyze the laws and the contracts that are applied to domestic cases of placing order and signing contract based on the concept and principle of the IPD before the actual introduction of the IPD. Based on such examination and analysis, this study intends to figure out the constraints to the introduction of the IPD. It is expected that the results of this study will be used as basic data for IPD-related study in the future.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.393-399
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• 2009

This paper introduces an automated tool named Advanced Stochastic Schedule Simulation System (AS4). The system automatically integrates CPM schedule data exported from Primavera Project Planner (P3) and historical activity duration data obtained from a project data warehouse, computes the best fit probability distribution functions (PDFs) of historical activity durations, assigns the PDFs identified to respective activities, computes the optimum number of simulation runs, simulates the schedule network for the optimum number of simulation runs, and estimates the best fit PDF of project completion times (PCTs). AS4 improves the reliability of simulation-based scheduling by effectively dealing with the uncertainties of the activities' durations, increases the usability of the schedule data obtained from commercial CPM software, and effectively handles the variability of the PCTs by finding the best fit PDF of PCTs. It is designed as an easy-to-use computer tool programmed in MATLAB. AS4 encourages the use of simulation-based scheduling because it is simple to use, it simplifies the tedious and burdensome process involved in finding the PDFs of the many activities' durations and in assigning the PDFs to the many activities of a new network under modeling, and it does away with the normality assumptions used by most simulation-based scheduling systems in modeling PCTs.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.107-110
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• 2013

Recently, Korea parliament legislated the Low Carbon Green Growth Act (April, 2012) and approved a bill (May, 2012) to start carbon emission trading system in 2015. It means that for the first time, government would regulate the amounts of carbon emission in private entities, and private entities should attain predefined emission reduction goals by implementing clean development mechanism (CDM) project or buy the Certified Emission Reductions (CERs) from the trading market to avoid penalty. Under these circumstances, it is not easy for them to determine when or how to implement the CDM project because the governmental energy policies about the level of governmental subsidies, periods for free emission allocation, etc. are still under discussion and the future price of the CERs is quite uncertain. Thus, this study presents a real-option based model to assess the financial viability of the CDM project which switches bunker-C oil to liquefied natural gas (LNG). The proposed model is expected to assist private entities in establishing the investment strategy for CDM project under uncertain government energy policies.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.277-283
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• 2022

• Korean Journal of Construction Engineering and Management
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• v.15 no.2
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• pp.79-86
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• 2014

Construction project become larger and more complicated. Korea go through government complex relocation Mega-size program including many sub-projects which were complicated, long-term, and need extensive funding. Effective change management is very important for this kind of mega-project since it has many stakeholders and can't avoid continual change of schedule, budget, etc. Especially, change management process and system is very important for program success. When each project have changes, program is impacted by these changes. So, Change management is very important for effective program budget and time management. This study try to develop change management process and framework considering continuous changes in project level for effective program management. In addition, this study developed change management system and applied it to new mega-size program and analyze the effectiveness.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.642-652
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• 2007

Many contracting firms and project managers in the construction industry have started to utilize multi objective optimization methods to handle multiple conflicting goals for completing the project within the stipulated time and budget with required quality and safety. These optimization methods have increased the pressure on decision makers to search for an optimal resources utilization plan that optimizes simultaneously the total project cost, completion time, and crashing cost by considering indirect cost, contractual penalty cost etc., practically charging them in terms of direct cost of the project which is fuzzy in nature. This paper presents a multiple fuzzy goal programming model (MFGP) that supports decision makers in performing the challenging task. The model incorporates the fuzziness which stems from the imprecise aspiration levels attained by the decision maker to these objectives that are quantified through fuzzy linear membership function. The membership values of these objectives are then maximized which forms the fuzzy decision. The problem is solved using LINGO 8 optimization solver and the best compromise solution is identified. Comparison between solutions of MFGP, fuzzy multi objective linear programming (FMOLP) and multiple goal programming (MGP) are also presented. Additionally, an interactive decision making process is developed to enable the decision maker to interact with the system in modifying the fuzzy data and model parameters until a satisfactory solution is obtained. A case study is considered to demonstrate the feasibility of the proposed model for optimization of project network parameters in the construction industry.