• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.54-61
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• 2016

The initial planned annual cost is frequently adjusted under the construction process in construction projects. If the annual cost is reduced than the initial planned cost, the number of possible activities is also reduced from initial planned progress schedule. In such cases, project manager need to replan the progress schedule with possible activities within changed annual cost. However, most project manager will proceed as planned schedule without any change. After the project cost has been exhausted, there are many cases to stop the operation of the construction site. This study developed active 5D CAD system that can replan the progress schedule within changed annual cost and simulate the cost status according to the changed schedule for cost visualization. This system can be used as a decision-making tool in the replaning progress schedule and will be able to increase the practical usability of 5D CAD system.

• Architectural research
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• v.10 no.1
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• pp.41-48
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• 2008

Construction projects have frequently exceeded their schedule despite reliable estimates at the start of a project. This problem was attributed to unpredictable causes at the beginning and to shortage of proper tools to accurately predict project completion date. To supplement this difficulty, project managers need a comprehensive system that can be employed to monitor the progress of an ongoing project and to evaluate potential delay for achieving the goal on time. This paper proposed a progressive-based expert system for quantitative assessments of project delay at the early stages of the execution. Furthermore, the system is used to inspect the change of the uncertainty on completion date and its magnitude. The proposed expert system is helpful for furnishing project managers a warning signal as a project is going behind schedule and for tracking the changed uncertainty at a desired confidence level. The main objectives of this paper are to offer a new system to overcome the difficulties of conventional forecasting tools and to apply a construction project into the system to illustrate its effectiveness. This paper focuses on construction phase of project development and is intended for the use by project managers.

• Information Systems Review
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• v.6 no.2
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• pp.195-208
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• 2004

In this paper we propose a new software project development management model incorporating quality management to schedule management. Though many efficient techniques such as code review and inspection are used to remove defects, the effect of defect removal time on project schedule hasn't been studied much. However, poor quality management has an important effect upon overall schedule and sometimes software projects fails due to it. Thus, quality management and schedule management should be considered together and we need to reflect the time to maintain software quality into the schedule management. For the proposed model we introduced "Quality Value" representing the needed time to remove software defects. We assume PSP/TSP to gather the needed data for quality value. The proposed model can be used to predict the effect of software defects on schedule in advance and to prevent schedule lag.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.635-636
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.703-704
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• 2011

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.9-17
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• 2011

Project delay is one of the most crucial impact factors in the construction process from a schedule and cost management perspective. This study focused on analyzing the causes of concrete frame work delay in the apartment construction project. According to the analysis of project cost composition, the direct cost of concrete works was highest in most samples. Actual delays of concrete works were analyzed for the six different construction components. Causes of delay were grouped into two categories; preconstruction and construction phases and these two groups were further divided into sub-groups. Analysis results revealed that the most significant delay was occurred in the 1st. floor concrete skeleton work. For each delay factor, implications of delay as well as suggestion(s) for reducing the possibility of schedule delay are provided.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.85-99
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• 1995

Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.

• Journal of KIBIM
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• v.9 no.2
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• pp.1-10
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• 2019

In this research, schedule optimization is defined as balancing the number of workers while keeping the demand and needs of the project resources, creating the perfect schedule for each activity. Therefore, when one optimizes a schedule, multiple potentials of schedule changes are assessed to get an instant view of changes that avoid any over and under staffing while maximizing productivity levels for the available labor cost. Optimizing the number of workers in the scheduling process is not a simple task since it usually involves many different factors to be considered such as the development of quantity take-offs, cost estimating, scheduling, direct/indirect costs, and borrowing costs in cash flow while each factor affecting the others simultaneously. That is why the optimization process usually requires complex computational simulations/modeling. This research attempts to find an optimal selection of daily maximum workers in a project while considering the impacts of other factors at the same time through OPEN BIM based multiple computer simulations in resource leveling. This paper integrates several different processes such as quantity take-offs, cost estimating, and scheduling processes through computer aided simulations and prediction in generating/comparing different outcomes of each process. To achieve interoperability among different simulation processes, this research utilized data exchanges supported by building SMART-IFC effort in automating the data extraction and retrieval. Numerous computer simulations were run, which included necessary aspects of construction scheduling, to produce sufficient alternatives for a given project.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.965-978
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• 2005

There are many defects that cause the schedule and qualify problems during software development. This paper designs the opportunity tree framer work that removes and manages the schedule and quality problems as well. For the similar projects, we can estimate defects and prepare to solve them by using domain expert knowledge and the opportunity tree framework which can greatly improve the software process. This research provides solution of schedule defect problem and detection of defect and its causes that happen on software development.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.412-418
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• 2013

With the increasing demand for public housing, the Singapore government decided to reduce the waiting time of future public housing owners, which requires these projects to be completed on time. As a result, this study aims to identify the frequent and impactful factors affecting schedule performance of public housing projects in Singapore. The survey conducted with 36 industry experts revealed that "site management", "coordination among various parties", "design changes by owner during construction", "availability of laborers on site", "availability of material", and "availability of staff to manage projects" were the six factors that should be emphasized to assure the schedule performance of public housing projects. In addition, there was statistically significant agreement between public housing projects and other building projects on both the frequency and impact ranks of the factors. The findings from this study will help practitioners involving public housing projects to take measures to assure the achievement of project schedule objectives.