• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.125-132
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• 2005

Domestic construction firms make every effort to save cost and, contrarily, enhance quality for competitive advantage in the market. Structural work of building construction takes chaise of the total cost and schedule, thus elaborate planning and management of the work help to lead the project into a successful way. Therefore, the idea to save time and cost and enhance constructability securing quality and safety of the work should be developed after analyzing the designed documents and site conditions comprehensively in the initial construction planning phase. Value Engineering (VE) technique is introduced in the substructural work in this paper to save cost creatively and systematically in the design and construction phase. A practical VE model that is applied to the underground building work systematically is proposed to save cost and it applies to the actual project to confirm the effectiveness of the model.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.196-202
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• 2009

Study from Yogyakarta earthquake reconstruction program, cast-in-place wall using fix-size formwork system (Old-CIP) has offered a good alternative for house construction. A simulation has also confirmed that this system using mortar as the main material can provide cheapest cost and lowest total man power compared to conventional wall construction technique: brick or mortar-block wall. This paper presents the new wall construction technique: full size cast-in-place wall (New-CIP). The detail of how this new technique implemented is described. In addition, considering that material and labor cost in one area is different to others, cost analysis for different resources prices and wages of three cities are taken into a simulation. The analysis is aimed to distinguish the implementation feasibility of New-CIP system compared to the four common wall systems. Finally, its implementation resistance is also discussed.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.125-133
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• 2016

The Project Risk Management is intended to result in the effective management by identifying in advance and mitigating all significant risks including project risks and opportunities during the entire project life cycle - from project inception to completion of construction. It is impossible to predict an exact budget and construction duration before finishing a project. So, Washington Department of Transportation mandates that workshop-based risk management is conducted for projects over specific cost. However, the domestic construction sites have depended on numerical risk analysis without any workshop and efficient risk management have not made. Therefore, in this study, we propose the effective risk management using the RBES program which is very useful for workshop-based risk management and pre & post mitigation, by workshop-based risk management techniques. This proposed risk management approach is applied to a domestic 'A' river recovery project. It is concluded that we may expect the effect to mitigate the total cost overrun problem and the construction duration delay effect in the project by identifying significant risks and by preparing effective risk mitigation strategies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.79-90
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• 2018

This study aims to provide the system to help decision making by finding key indicators used in land supply and demand surveys, and by developing storage priority areas and projects. As problems arose such as the rising cost of public projects or disruptions to business progress due to the rapid rise in land prices and the cost of compensation for public projects in the past, a new land policy was adopted and the land reserve system was established in 2009. At that time, The bank's goal was to conserve 2 trillion won of land per year, but the result was sluggish as it accumulated a total of 1.6 trillion won from 2009 to 2015. The reason for this sluggish result is that the type and quantity of indicators are still extensive and the survey of land supply and demand has a problem of poor utilization. In order to make up for the sluggishness, we made key indicators used in land supply and demand surveys using the question investigation, and analyzed the priority of the project areas. This study provide the system to help decision making by finding key indicators used in land supply and demand surveys, and the priorities of project areas.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.769-776
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• 2007

The comprehensive Topic of Total Quality Management (TQM) has been put forward since the 6^th decade in industrial countries. The serious attention to it in developing countries goes back to recent years. Unfortunately serious attention is not paid to quality issues in building industry. Therefore, the construction of buildings is highly vulnerable against natural events while having low effective lifetime. Wide-range destruction of the residential buildings in the earthquake of Bam ( in IRAN ) is a clear proof for this claim. In this paper we tried to present the corresponding effects between quality issues and other aspects of a building project (such as costs) and proposed general solutions to improve quality indices in construction industry.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.11-19
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• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.624-631
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• 2022

Highway Rest Areas are envisioned to provide an accessible space for rest and parking for travelers, especially those driving a long distance. In addition, modern highway Rest Areas provide many amenities to highway users, including wifi service, picnic tables, litter barrels, running water, public telephones, and sometimes even free coffee. Various studies were conducted in the domain of Rest Area facility design and their operating costs in different states; however, limited studies were conducted on the maintenance costs of these facilities. Therefore, this study's main objective is to compute the annual maintenance cost of Rest Areas in the state of Nevada. This study also analyzes the main cost categories of the maintenance works. The raw cost data of Nevada Rest Area maintenance from 1990 to 2012 were collected from the Nevada Department of Transportation (NDOT). Results show that the maintenance cost fluctuated over the study period; the maintenance cost decreased from 1991 to 2004 and then increased until 2012. The primary cost categories of maintenance work are labor, equipment, and material costs. Among these, labor cost was the largest category with 56 percent of the total maintenance cost, followed by equipment cost and material cost. The findings of this study may help NDOT and other transportation agencies plan their budget for future Rest Area maintenance activities.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.634-639
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• 2013

The aim of the study is to develop the 3D visualization of Building Information Model and integrated 4D model for optimization of resources in the construction project. This study discuss the process of methodology and creation of 4D model of the project and simulate it to monitor the workflow at the site. Different stages of the construction process and activities are generated by using Revit and MS Project. MS project has been used for creation of the schedules and these are linked with the Revit for 3D modeling. The time used as the fourth dimension and 4D model created by using Navisworks Time liner software. Narges shopping center is presented as a case study to realize the actual uses and benefits of Building Information Model (BIM). Narges shopping mall is located in Tehran, Iran. As a part of Hekmat master plan, Narges shopping center is an 11 stores building with a total area of 30000 Sq.m. This shopping and entertainment center is comprised of 150 retails and two multi-use public halls with a capacity of 400 persons each and underground parking with total 400 parking space. The main purpose of architecture was to create an urban public center along with its revolving, spiral like form and an ever changing continuous façade by means of different colors, materials, which is in harmony with the other building of the master plan. The approximate cost of the project is $17 million and duration of the project schedule is 30 months. The developed Building Information Model enabled us to identify the potential collisions or clashes between various structural and architectural systems. 4D model has been used for limiting the interaction between subcontractors installing the different systems so rework could be avoided and productivity maximized. It is also observed that the utility of BIM for construction stimulation and clash detection is the best suitable method. Clash detection before the implementation of work is highly recommended to avoid rework.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.78-79
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• 2019

A construction project with a total construction cost of over 10 billion KRW should be evaluated whether construction works are appropriately executed. The evaluation is carried out on quality management, process management, construction management, safety management, environmental management. The implementation period is within 60 days after completion of construction of the construction, from the time when the construction rate of the construction work has progressed by more than 90% to the construction cost. However, the participating construction engineers should prepare the evaluation within the period according to the evaluation criteria, but there are difficulties in preparation for the evaluation due to the reasons such as the change of engineers in charge and loss of data. Therefore, this study proposes the procedure of construction evaluation and adjusts timing of construction evaluation.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.124-145
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• 2014

Market failure occurs when Pareto efficiency is not achieved through market mechanism. In order to solve this problem, government intervene market; paying great attention to the optimum state of resource allocation. However, as the size of government investment in R&D goes up, many professionals emphasize the importance in efficient management system. This work is the result of exploratory study to look into life-cycle management of governmental R&D program. Literature reviews and empirical research on governmental R&D programs elicit improvements for effective life-cycle management of governmental R&D program as follows: consistent discrimination between capital expenditure and recurring expenditure, dual management system by spending properties, implementing total cost management system in capital expenditure, and discrimination between preliminary feasibility study with confirming total program cost in recurring expenditure.