• 한국안전학회지
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• 제32권1호
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• pp.115-120
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• 2017

The aim of this study is to develop construction safety and health management cost prediction model using support vector machine (SVM). To this end, theoretical concept of SVM is investigated to formulate the cost prediction model. Input and output variables have been selected by analyzing the balancing accounts for the completed construction project. In order to train and validate the proposed prediction model, 150 data sets have been gathered from field. Effects of SVM parameters on prediction accuracy are analyzed and from which the optimal parameter values have been determined. The prediction performance tests are conducted to confirm the applicability of the proposed model. Based on the results, it is concluded that the proposed SVM model can effectively be used to predict the construction safety and health management cost.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.488-493
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• 2013

Accurate initial cost estimates are essential to effective management of construction projects where many decisions are made in the course of project management by referencing the estimates. In practice, the initial estimates are frequently derived from historical actual cost data, for which standard distribution-based techniques are widely applied in the construction industry to account for risk associated with the estimates. This approach assumes the same probability distribution of estimate errors for any selected estimates. This assumption, however, is not always satisfied. In order to account for the probabilistic nature of estimate errors, an alternative method for measuring the risk associated with a selected initial estimate is developed by applying the Bayesian probability approach. An application example include demonstrates how the method is implemented. A hypothesis test is conducted to reveal the robustness of the Bayesian probability model. The method is envisioned to effectively complement cost estimating methods that are currently in use by providing benefits as follows: (1) it effectively accounts for the probabilistic nature of errors in estimates; (2) it is easy to implement by using historical estimates and actual costs that are readily available in most construction companies; and (3) it minimizes subjective judgment by using quantitative data only.

• 한국안전학회지
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• 제33권2호
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• pp.68-75
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• 2018

The safety management cost system under the Construction Technology Promotion Act has contributed greatly to the prevention of construction accidents according to the chronological changes and social demand, but various problems have been pointed out. The biggest problem is that the safety management cost is earmarked very low because other items of safety management costs except for the safety inspection are not appropriately included in the actual construction site. Furthermore, it has been pointed out that it is difficult to settle the orderer due to the lack of specific use criteria. Therefore, in order to secure the proper safety management cost, this study is to estimate the actual cost by using of specification, quantity, material cost, labor cost for each type of the safety management item The results of this study were compared with the 71 cases of safety management costs in the safety management plan. In addition, analysis of unclear or unnecessary items in the current safety management cost and criteria and suggestions for improvement are provided. It is hoped that the results of this study will contribute to the rational safety management rate calculation.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.575-586
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• 2005

This paper presents an approach to quantifying the costs and benefits of integrating ERP systems with project management systems, including potential time and cost savings. To properly identify the costs and the benefits, the paper shows the relevant construction information flows and the desired milestones in the integration process. The proposed benefit analysis model should allow construction firms considering the integration of their ERP systems with legacy systems or commercial project management software make informed decisions in regard to the existing alternatives in the early stages of decision making.

• 한국건설관리학회논문집
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• 제21권2호
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• pp.39-46
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• 2020

산업안전보건관리비는 산업 현장에서 발생하는 인적 안전사고를 사전에 방지하기 위한 목적으로 1988년에 시행되었다. 그러나 다섯 개의 공사종류와 세 개의 공사금액을 기준으로 한 산업안전보건관리비의 계상기준은 다양한 건축현장의 특성을 반영하지 못하고 있다. 이를 연구하기 위해, 본 연구는 국내건설업체 현장의 건설업 산업안전보건관리비의 사용률과 사용세부항목을 분석하였다. 그 결과, 상당수의 현장에서 산업안전보건관리비를 초과 사용한 사실과 그 원인을 밝혀낼 수 있었다. 이를 토대로 본 연구에서는 건설업 산업안전보건관리비의 계상기준 개선의 필요성과 방향성을 제시하고자 하였다.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.185-190
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• 2022

The article analyzes the impact of factors affecting the application of management accounting in Vietnamese small and medium enterprises. It provides more empirical evidence on the factors affecting the application of cost management accounting. The research methodology involved a questionnaire survey of managers at all levels, and chief accountants and accountants of 65 Vietnamese construction enterprises. 220 questionnaires were collected in total, out of which 14 invalid questionnaires were not used due to many blank cells. The 5-level Likert scale is familiarly used in many studies, so the author also quantifies each factor according to five levels. Quantitative research was carried out with SPSS 25 software. Research results show that 4 factors positively influence the application of cost management accounting, including Business strategy, Management cost control, level of accounting staff, and Manager's point of view on cost management accounting. The level of accounting staff factor has the strongest influence on the application. Based on the research results, the author has proposed recommendations to improve the application of cost management accounting techniques of construction enterprises, thereby contributing to enhancing competitiveness and efficiency activities of construction enterprises in Vietnam.

• 한국건설관리학회논문집
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• 제3권3호
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• pp.75-83
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• 2002

1997년 건설교통부는 건설기술관리법 개정을 통해 국내 품질관리체계를 정립하였다. 개정된 법제도하에서는 발주자가 건설공사비에 품질관리비용을 계상하여야 한다. 그러나 국내 법제도 및 관련규정들 간에 품질관리원의 역할 책임 등에 다소 차이가 있어 비용계상의 대상업무 범위가 불분명한 실정이며, 이로 인하여 규정된 업무를 수행하기 위한 비용 계상에도 어려움이 있다. 이러한 어려움을 해결하기 위하여 본 연구에서는 국내법에서 요구하고 있는 품질관리원의 역할을 해석하고, 이러한 해석을 바탕으로 품질관리비 산출기준(안)을 제시하였다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.64-71
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• 2002

This research developed construction cost forecasting model using Building Construction Cost Index, time series analysis and Artificial Neural Networks. By this model, we could calculate the forecasted values of construction cost precisely and efficiently. And we also could find out that the standard deviation of forecasted values is 0.375 and it is a very exact result, so the standard deviation is just 0.33 percent of 112.28, the average of Building Construction Cost Index. And it show more exact forecasting result in comparison with Time Series Analysis.

• Journal of Construction Engineering and Project Management
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• 제10권1호
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• pp.16-32
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• 2020

Cost and time control of projects is important in preventing project failure. However, achieving effective cost and time control in practice is often challenging. The challenges of project cost and time control in practice are investigated by carrying out a questionnaire survey on the top 150 construction contractors in the UK followed by in-depth semi-structured interviews of practitioners from 15 construction companies in the country. Quantitative analysis reveals that design change is the most important factor inhibiting the ability of UK contractors from effectively controlling both the cost and time of construction projects. Four of the top five factors inhibiting effective cost control are also the top factors inhibiting effective time control albeit in a different order. These top factors-design changes, inaccurate evaluation of project time/duration, risk and uncertainty, non-performance of subcontractors and nominated suppliers were also found to be endogenous factors to the project. Additionally, qualitative analysis of the interviews reveals 16 key challenges to prevent for effective project cost and time control in practice. These are classified into four categorised based on where they stem from as follows; from the organisation (1. Lack of integration of cost and time during project control, 2. lack of management buy-in, 3. complicated project control systems and processes, 4. lack of a project control training regime); from the construction management/project management approach (5. Lapses in integration of interfaces, 6. project control not being implemented from the early stages of a project, 7. inefficient utilisation and control of labour, 8. limited time devoted to planning how a project will be controlled at the outset); from the client; (9. Excessive authorisation gates, 10. use of adversarial and non-collaborative forms of contracts, 11. communication problems within client set-up, 12. obstructive client representatives) and; from the project team (13. Lack of detailed/complete design, 14. lack of trust among the project partners, 15. limited time devoted to project control on site, 16. non-factual reporting). The study posits that knowledge of these project control inhibiting factors and challenges is the first step at ensuring they are avoided and enable the implementation of a more effective project cost and time control process in practice.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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• pp.230-231
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• 2019

The nuclear power plant construction project is large-scale, has various stakeholders and computer system, and is produced and managed a large amount of information. The domestic nuclear power plant construction project has accumulated data based on many years of experience in the system. It has the competitiveness to suggeest alternatives that meet the requirement of the client in the overseas nuclear power plant project. Earned value management, which integrates schedule and cost, is possible to risk management. It was developed the earned value management system considering the the actual data properties and types of the preceding nuclear power plant construction projects. It will be able to increase the nuclaer power plant export competieiveness. Therefore, it was palned to carry out future stuies so that it be able to complement the measure to integrate cost and schedule in consideration of actual data(quantity of activity, etc.).