• Korean Journal of Construction Engineering and Management
• /
• v.11 no.3
• /
• pp.105-114
• /
• 2010

As the Korean economy went into a recession because of the global financial crisis in 2008, in order to vitalize the Korean economy, the government raised SOC budget and made its execution earlier. To prevent increases in budget for the government financial investment projects, the government controlled the project cost of SOC construction projects by enacting 'Guideline for total project cost management' in 1994 and complementing the relevant system. However, different from government intention, the total project cost of SOC projects were increased drastically. Hence, the government authorities and research institutions insisted the necessity of supplementation and improvement for the total project cost management system. This research is to provide the improvement for the total project cost management system of domestic SOC projects. In this research, As-Is Model was adjusted considering status of the total project cost management in the current SOC projects. Also the cost management of construction projects between domestic and other developed countries was studied, analyzed and compared. Based on the above, problems related to total project cost management of domestic SOC projects were found out and an improved total project cost management was provided to improve these problems.

• Korean Journal of Construction Engineering and Management
• /
• v.14 no.3
• /
• pp.12-21
• /
• 2013

Total Project Cost Management System(TPCMS) was introduced with the purpose of increasing the efficiency of cost control for public construction project in 1994. In this paper, general perception of participants of the public construction project on the TPCMS was examined, and the problems in implementing the TPCMS was figured out through expert interviews and survey. Then better ways to implement the system were drawn based on the problems. To effectively manage the cost of public construction project, basically project cost should be estimated accurately in planning stage and managed based on it to have a project complete within the budget. In addition, the cost need to be managed in more systematic ways in terms of data collection and analysis, and the autonomy in managing the project cost given to the project owner needs to be expanded. Most of all, proper budget should be provided to prevent a project from delay through setting the priority of projects and proper budget allocation based on the priority.

• International conference on construction engineering and project management
• /
• 2011.02a
• /
• pp.168-175
• /
• 2011

Construction accidents are major problem in Turkish Construction industry and especially fatally rates are very high. Current legislative system on occupational safety in Turkey enforces employers to implement safety measures as well as safety management systems. However level of consciousness in the industry is unsatisfactory and safety are perceived as extra cost and unnecessary expenditure. Moreover, especially in small residential building constructions which have a big share in the industry and unfortunately safety measures to mitigate or abate construction risks do not exist. The study focuses on small residential building construction sites and in the scope of this study, thirty building projects are examined. For each building project, project cost including labour and material costs, service and consultancy costs for mechanical, electrical systems as well as architectural and structural services, costs for supervision and finally general expenditures for construction site facilities were calculated. On the other hand, occupational safety costs for personal protective equipment, collective protective measures, consultancy and training were determined. Work breakdown structures were established and for each work item firstly occupational risks were evaluated and furthermore according to risk scores safety measures to be implemented were defined and related costs were calculated. The study gave results for total safety cost on average, in terms of percentage of total project cost (3.73% of total project cost), safety cost per man-hour (0.40 USD) and safety cost in terms of unit construction area (11.60 USD per square meter). Since safety management is a part of whole project management process, study gives suggestions and techniques to calculate safety costs and implement safety measures as a part of project management service for professionals. Authors believe that suggested approach may easily developed by the usage of more data to establish a model for estimation not only for building construction sites but also for all construction projects.

• Journal of the Korean Society of Systems Engineering
• /
• v.8 no.1
• /
• pp.1-7
• /
• 2012

This research aims to propose a model to estimate the appropriate SE Cost rate to the total project cost when systems engineering applied to light rail transit project. In this research an investment cost estimation model is proposed with reference to COSYSMO (Constructive System Engineering Cost Model). This model includes four input factors such as requirement numbers, interface numbers, algorithm numbers, and scenario numbers. When 2600 requirement numbers are considered on a proposal document with 350 pages in a light rail transit specification of 500 billion~trillion won scale, COSYSMO demo version estimates 42.5 billion won of SE cost (about 5% of total project cost or about 10% of E&M cost).

• Korean Journal of Construction Engineering and Management
• /
• v.21 no.2
• /
• pp.30-38
• /
• 2020

Inadequate cost management has widely been recognized as one of the most problematic areas in the Korean construction industry as many believes that public cost references are not reasonably reflecting the market conditions. 'Total Project Cost Management Guideline' developed by Ministry of Economy and Finance(MOEF) to govern public budget control has been identified as one of the main reasons for this problem. This study attempts to thoroughly review 'Total Project Cost Management Guideline' itself and quantitatively analyze the impact of it on project cost during procurement process. Different procurement methods are considered including turnkey & alternative, private contract, qualification examination, and lowest price bidding system in this quantitative impact analysis of 'Total Project Cost Management Guideline'. Analysis results shows that this governmental process works mainly as a constant cost-cutting tool throughout the procurement process.

• Journal of KIBIM
• /
• v.7 no.2
• /
• pp.16-24
• /
• 2017

It is very important to estimate accurate construction total cost needed early in the project. In the initial phase of the design, the project cost estimates are determined by total quantity from design documents and the variables that affect the calculation of the total cost of the project. In order to determine accurate total construction cost, the contractor has to produce detailed quantity information based on the drawings and specifications. The process of preparing quantification and cost estimation documents is still being worked out manually, and a lot of errors have been occurred in many cases. Recent advances in information technology have led to the BIM based quantity takeoff and cost estimation. However, there are some limits to the extent to which the current specifications for BoQ documents are computed from BIM model. This research analyze the current BoQ cases and analyze how to make quantity takeoff possible through BIM. The study defined five levels of quantity category that could be produced by BIM. Only about 40% or indirectly usable items can be used when information is extracted to BIM modelling. This is very insufficient to fill out the BoQ. The BoQ document structure quantity takeoff specifications should be simplified in order to BIM based cost estimation more efficiently.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.39 no.1
• /
• pp.17-24
• /
• 2016

Many organizations have transformed their business in order to survive and compete in the future. They generate projects by creating a vision, using strategies and objectives with funds aligning strategies and make efforts to complete them successfully because project success leads to business success. All projects have triple constraints such as scope, time, and cost to be completed. Project cost performance is a key factor to achieve project goals and which is mostly related with risks among various cost drivers. Projects require a cost estimation method to complete them within their budget and on time. An accurate budget cannot be estimated due to the uncertainties and risks. Thus some additional money should be funded in addition to the base budget as a contingency reserve for identified risks and a management reserve for unidentified risks. While research on contingency reserve for identified risks included in project budget baseline have been presented, research on management reserve for unidentified risks included in total project budget is still scarce. The lack of research on estimation method and role of the management reserve have made project managers little confidence to estimate project budget accurately with reasonable basis. This study proposes a practical model to estimate budgets including contingency and management reserves for not only project cost management but also to keep the balance of organization's total funds to maximize return on investments for project portfolio management. The advantages of the proposed model are demonstrated by its application to construction projects in Korea and the processes to apply this model for verification are also provided.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.196-203
• /
• 2022

The resource constrained scheduling problem (RCSP) constitutes one of the most challenging problems in Project Management, as it combines multiple parameters, contradicting objectives (project completion within certain deadlines, resource allocation within resource availability margins and with reduced fluctuations), strict constraints (precedence constraints between activities), while its complexity grows with the increase in the number of activities being executed. Due to the large solution space size, this work investigates the application of Genetic Algorithms to approximate the optimal resource alolocation and obtain optimal trade-offs between different project goals. This analysis uses the cost of exceeding the daily resource availability, the cost from the day-by-day resource movement in and out of the site and the cost for using resources day-by-day, to form the objective cost function. The model is applied in different case studies: 1 project consisting of 10 activities, 4 repetitive projects consisting of 40 activities in total and 16 repetitive projects consisting of 160 activities in total, in order to evaluate the effectiveness of the algorithm in different-size solution spaces and under alternative optimization criteria by examining the quality of the solution and the required computational time. The case studies 2 & 3 have been developed by building upon the recurrence of the unit/sub-project (10 activities), meaning that the initial problem is multiplied four and sixteen times respectively. The evaluation results indicate that the proposed model can efficiently provide reliable solutions with respect to the individual goals assigned in every case study regardless of the project scale.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.32 no.2
• /
• pp.163-175
• /
• 2007

[ $ulcorner$ ]Cost-Effectiveness Analysis$\lrcorner$ has been wifely used to evaluate economic efficiency of R&D projects, but most of cost-effectiveness evaluation systems have some problems such as systematic method for setting and evaluating cost factors, estimation of single effect on each R&D project, and estimation of cross effects among R&D projects. To solve these problems, we have designed a new evaluation indicator called a $ulcorner$Cost-Cross Effect Integration Indicator$lrcorner$ including cross effects developed in this research. The major research findings are summarized as follows : (1) $ulcorner$Coist Estimation Model$lrcorner$, which estimates the cost factors divided into two classes of assembly product and system product and then integrates the total cost values, has been designed. (2) A new method for estimating parameters of cross effects among R&D projects has been developed. (3) $ulcorner$Cross Effects Estimation Model$lrcorner$ to estimate multi-effects and cross effects by completion time among several projects has been designed. (4) $ulcorner$Integration Estimation Indicator$lrcorner$ for setting priority on a project group has been extracted by combination of total cost value and total effect value.

• Journal of Information Technology Services
• /
• v.14 no.2
• /
• pp.51-68
• /
• 2015

As interests in the quality of data in database systems are growing recently, analysis and improvement of data quality in databases have been an important issue. However, there has yet to be a clear agreement on how to reasonably calculate the total cost of such project. In this paper, based on real project data and budget statistics, we develop a model to estimate the cost for quality analysis and improvement project of a database. We first conduct statistical analysis to build our basic model. Throughout this analysis, we have identified factors that determine the scale of works required to conduct the project and eventually determine the cost. In addition, we have identified factors that determine the complexity of the project. These factors can adjusts the cost determined by the scale of works. Our model is verified and improved by surveys on experts. We apply our model to newly conducted projects and observe that our model estimates the cost of each project reasonably well.