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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Construction Engineering and Project Management
Journal Basic Information
Journal DOI :
Korean Institute Of Construction Engineering and Management
Editor in Chief :
Samuel Ariaratnam / Hong Tae-hoon
Volume & Issues
Volume 3, Issue 4 - Dec 2013
Volume 3, Issue 3 - Sep 2013
Volume 3, Issue 2 - Jun 2013
Volume 3, Issue 1 - Mar 2013
Selecting the target year
Front End Planning Tool (FEPT) Based on an Electronic Process Management
Safa, Mahdi ; Haas, Carl T. ; Hipel, Keith W. ; Gray, Joel ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 1~12
DOI : 10.6106/JCEPM.2013.3.2.001
Research indicates that good front-end planning (FEP) results in the achievement of higher levels of project performance. By facilitating collaboration among stakeholders in diverse locations with the use of workflow-enabled processes, such pressures can be reduced, and the overall process and results of FEP can be improved. With these goals, a front-end planning tool (FEPT) has been developed as support for owners and major contractors who are engaged in front-end planning. This paper presents the new FEPT and describes how it has been used for construction megaprojects in the nuclear power, oil and gas, and mining industries. The paper begins with the definitions related to and an explanation of the general process for implementing and applying the FEPT and then describes and analyzes how the FEPT was applied in case study projects in order to test its validity. The results indicate that the FEPT increases the efficiency and effectiveness of front-end planning for the megaprojects studied and that it has the potential to produce similar results for other megaprojects.
Unit Cost Prediction Model Development for the Domestic Reinforced Bar using System Dynamics
Ko, Yongho ; Choi, Seungho ; Kim, Youngsuk ; Han, Seungwoo ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 13~20
DOI : 10.6106/JCEPM.2013.3.2.013
Construction industry has become a larger and highly competitive industry. A successful construction project cannot be achieved only by efficient and fast construction techniques but also reasonable material cost and adequate transferring time of materials to installation. The steel industry in East Asia has become the mainstream in overall steel industries in over the world during the middle of the 21st century. China, Japan and Korea has been the main exportation countries. However, even though the international economic failure, China has increased the exportation amount and became an only exporting country which must be considered a serious problem regarding competitiveness in the international steel exportation industry. Thus, this study analyses the factors affecting the supply and demand amount of reinforced bars in the domestic field and moreover suggesting a unit cost prediction model using the System Dynamics simulation methodology, one of powerful prediction tools using cause-effect relationships. It is expected that this study contributes to the domestic steel industry growth in competitiveness in the international industry. In addition, the methodology used in this paper presents the frameworks for appropriate tools for market trend analysis and prediction of other markets.
Evaluating Schedule Uncertainty in Unit-Based Repetitive Building Projects
Okmen, Onder ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 21~34
DOI : 10.6106/JCEPM.2013.3.2.021
Various risk factors affect construction projects. Due to the uncertainties created by risk factors, actual activity durations frequently deviate from the estimated durations in either favorable or adverse direction. For this reason, evaluation of schedule uncertainty is required to make decisions accurately when managing construction projects. In this regard, this paper presents a new computer simulation model - the Repetitive Schedule Risk Analysis Model (RSRAM) - to evaluate unit-based repetitive building project schedules under uncertainty when activity durations and risk factors are correlated. The proposed model utilizes Monte Carlo Simulation and a Critical Path Method based repetitive scheduling procedure. This new procedure concurrently provides the utilization of resources without interruption and the maintenance of network logic through successive units. Furthermore, it enables assigning variable production rates to the activities from one unit to another and any kind of relationship type with or without lag time. Details of the model are described and an example application is presented. The findings show that the model produces realistic results regarding the extent of uncertainty inherent in the schedule.
Competency Development in Urban Local Bodies for Implementing Public Private Partnership Projects in India
Devkar, Ganesh A. ; Kalidindi, Satyanarayana N. ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 35~48
DOI : 10.6106/JCEPM.2013.3.2.035
Weak competencies in urban local bodies (ULBs) for implementing public private partnership (PPP) projects has been recognized as a major hurdle in uptake of PPP model in India. In this context, a questionnaire survey was conducted to evaluate perception of urban PPP experts and ULB representatives on three aspects related to competency development, including, critical competencies for implementing urban PPP projects, approaches for competency development in ULBs and constraints faced by ULBs in development of competencies. The five critical competencies identified are project identification, project conceptualization, transaction design, PPP process management and contract management. The approach of training programs for municipal staff and elected representatives, and capacity building oriented technical assistance for implementing urban PPP projects have been preferred by survey respondents for competency development. The frequent transfer of municipal decision makers and low motivation among municipal staff have been identified as the most significant constraints for development of competencies.
Risk Based Decision Support for Final Closing Section of a Sea Dike
Jee, Sung Hyun ; Kang, Seong Hae ; Kim, Jeong Hwan ; Seo, Jong Won ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 49~57
DOI : 10.6106/JCEPM.2013.3.2.049
A sea dike construction has been increased in Korea because of the actively deployed reclamation project in basis of efficient application in land. The degree of completion in sea dike construction is affected by final closing construction, which has a lot of uncertainty that often results in higher accidents rate. Therefore, this research identified risk factors of final closing construction and classified them. This research examines the likelihood and its impact for each risk factor and calculates the risk degree as to the risk matrix. Based on this, the impact and the environmental conditions that affect to risk factors are investigated and further responsive methods are established for each risk factor. Ultimately, this research attempts to provide the risk retrenchment method for inspectors by proposing risk estimation model, responsive action list, and risk management process.
Development of Productivity-based Estimating Tool for Fuel Use and Emissions from Earthwork Construction Activities
Hajji, Apif M. ; Lewis, Michael Phil ;
Journal of Construction Engineering and Project Management, volume 3, issue 2, 2013, Pages 58~65
DOI : 10.6106/JCEPM.2013.3.2.058
Earthwork activities are typically performed by heavy duty diesel (HDD) construction equipment that consumes large quantities of diesel fuel use and emits large quantities of pollutants, including nitrogen oxides (NOx), particulate matters (PM), hydrocarbon (HC), carbon monoxide (CO), and carbon dioxide (
). This paper presents the framework for a model that can be used to estimate the production rate, activity duration, total fuel use, and total pollutants emissions for earthwork activities. A case study and sensitivity analysis for an excavator performing excavations are presented. The tool is developed by combining the multiple linear regressions (MLR) approach for modeling the productivity with the EPA's NONROAD model. The excavator data from RSMeans Heavy Construction Data were selected to build the productivity model, and emission factors of all type of pollutants from NONROAD model were used to estimate the total fuel use and emissions. The MLR model for the productivity rate can explain 92% of the variability in the data. Based on the model, the fuel use and emissions of excavator increase as the trench depth increase, but as the bucket size increase, the fuel use and emissions decrease.