• Journal of the Korea Institute of Building Construction
• /
• v.14 no.5
• /
• pp.443-449
• /
• 2014

Although risk reduction of construction projects have been continued, the risk of fatal accident has been increased. The purpose of this paper is to reduce the cause of the essential risk factors. Questionnaire survey of construction companies in domestic was conducted and the Multiple Regression Analysis of statistics program was used to grasp effective factors among the risk factors of construction companies in domestic. Development of the essential risk factors and its application to projects could lead to improvements such as compression of network, reduction of cost, improvement of quality and reduction of safety accident.

• Korean Journal of Construction Engineering and Management
• /
• v.14 no.4
• /
• pp.73-83
• /
• 2013

Recently, not only around Korea but also other countries shows a pattern of arising high-rise building construction project which was delayed or aborted during global economic crises and recession. Although the market starts to stretch, It is getting competitive to win a contract in high-rise construction project between contractors due to lack of competitive advantage especially to Korea contractors. To get that, Korean contractors needs lifting equipment plan. But currently, they depend on the empirical methods and that cause schedule delay, not controlled cost management problem. Therefore, this research is to improve the accuracy of Lifting plan by analyzing the current issues of Lifting plan system and deducing the types of failures with planning factors, as well as analyzing the impact on schedule and cost control and safety management by each failure mode. Also, by analyzing detail risk factors per Lifting Equipment with FMEA, to infer the critical risk factor on high-rise construction project.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.704-707
• /
• 2017

오늘날 기업에서 프로젝트의 성공은 기업 전략 달성에 필수 요소이다. 프로젝트가 많아지고 프로젝트의 중요성이 커지면서 프로젝트의 성과 향상의 방안으로 PMO(Project Management Office)를 운영하는 사례가 늘고 있다. 전사 PMO는 기업의 전략과 프로젝트 간에 연결고리 역할을 하며 기업 내 다수의 프로젝트를 관리함으로써 기업 전략 달성을 도모하지만 대부분 부족한 인력과 자원으로 운영되고 있다. 리스크가 높은 프로젝트에 한정된 인력과 자원을 집중할 수 있다면 프로젝트 성공 가능성을 높이고 기업 전략 달성에 보다 이바지 할 수 있을 것이다. 본 논문에서는 프로젝트 리스크를 기반으로 PMO를 운영하는 방법에 대하여 다루고자 한다.

• Korean Journal of Construction Engineering and Management
• /
• v.18 no.3
• /
• pp.105-116
• /
• 2017

In recent years, large Korean construction companies have suffered serious losses in their overseas business. Many practitioners and researchers have analyzed causes of cost overrun in these projects. However, these arguments have not been empirically verified based on acutal project cases. This study investigated cost overrun rate, contingency, allowance, predicted risk before bidding, and actual and residual risk after award in the 67 international infrastructure projects conducted by 13 large construction companies. The causes of cost overruns are derived as follows. First, they identified the possibility of cost overrun to some extent before the bidding, but did not reflect the enough risk money to bid price. In particular, this behavior was more severe in badly cost-overrun projects. Second, the causes of cost overrun were more influenced by external environmental risk than internal capability risk. However, the internal risk in badly cost-overrun projects was relatively high compared to cost-underrun projects. Third, badly cost-overrun projects failed to mitigate risk. However, cost underrun projects were affected more by low exterior risk conditions than by well mitigated risk. This study provides more informed knowledge in controlling project costs in international infrastructure projects.

• Informatization Policy
• /
• v.29 no.2
• /
• pp.3-36
• /
• 2022

Most research in artificial intelligence (AI) has focused on the development of new algorithms. But as artificial intelligence has been spreading over many applications and gaining more attention from managers in the organization, academia has begun to understand the necessity of developing new artificial intelligence theories related to AI management. We reviewed recent studies in the field from 2015, and further analysis has been done for 785 studies chosen based on citation numbers of over 20. The results show that most studies have still been in the prototyping application phase of artificial intelligence across different industries. We conclude our study by calling for more research in the application of artificial intelligence in terms of organizational structures and project and risk management.

• Journal of Convergence Society for SMB
• /
• v.1 no.1
• /
• pp.45-53
• /
• 2011

There are always many kinds of risks in software development such as frequent changes of requirements. Especially those risks related to the software characteristic of non-visibility can be threat to the project success. That lead us to the need of process implementation to reduce and minimize those risks. Although, most of the organization recognizes the importance of risk management, actual implementation requires professional knowledge in this area. CMMI, the de facto standard in process reference model, also emphasizes on risk management process area but only provides goals and practices to be implemented, not detail procedure and methods. In this paper, we developed Risk management implementation model based on IDEAL, the process improvement model based on CMMI. The proposed model will help the organizations to implement risk management process which is proper to their situation in the factor of organization size and project characteristics.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2004.11a
• /
• pp.457-461
• /
• 2004

The insufficient management o( the risk of preconstruction phase causes the risk of construction phase so it makes bad effects such as the extension of construction time and raising of cost. Therefore, the management of the risk of preconstruction phase is being considered as an important element of success of project and the competitive power of construction companies. This study Is to suggest solution methods for each progress after examining reasons of the risk for the management of the risk of preconstruction phase 1'he progress is limited as earth work, RC work, steel work and curtain wall work. Through the introduction of Knowledge Management system, work flow is made by specialist of each part. The reasons of the risk of progress are chosen through the analysis of work flow and I suggest detailed solutions such as person in charge, the starting point of progress and the information of requirements according to the grade of importance about elements of the risk

• Korean Journal of Construction Engineering and Management
• /
• v.13 no.2
• /
• pp.147-155
• /
• 2012

Recently, various construction projects are invested with plenty capital, manpower and resources. The advanced methods of the construction management is introduced to Korea. However, the cases which get involved in excessive cost frequently occur. We can explain it means that the cost management in the entire phases and the risk factors in its works has not been done yet as expected. Thus, it is necessary to unearth risk factors relative to cost management and analyse them for preventing cost-increasing and the success of projects. In this point of view, this study aims to identify the risk factors of the cost management focused on pre-construction stages from the perspective of construction management which is possible to take part in the whole phases and works in cost management. Also, the impact priority and grade of risk factors to cost-increasing are evaluated by using FMEA.

• Korean Journal of Construction Engineering and Management
• /
• v.6 no.4 s.26
• /
• pp.71-79
• /
• 2005

As construction projects have been extremely enormous, complex and special, risk factors have been increased consistently. Therefore, it is very important to identify and cope with the uncertain risk factors in such building constructions for successful project accomplishment. The purpose of this research is to approach practical affairs directly and show detail alternatives of risk factors by extracting the risk factors throughout construction process of curtain wall that is largely influenced on cost, quality, schedule ,safety and following activity. Also, extracting these risk factors make it possible to analyze quantitative risk and decide the priority raking of risk factors. Especially, this research is aimed to provide efficient management of scheduling risk that can make the risk minimize to practical workers who have different degree of knowledge and experience to the construction cite when the risk brings out suddenly.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.6
• /
• pp.841-849
• /
• 2023

Construction projects have risks due to various factors such as construction delays and construction accidents. Based on these construction risks, the method of calculating the construction period of the construction project is mainly made by subjective judgment that relies on supervisor experience. In addition, unreasonable shortening construction to meet construction project schedules delayed by construction delays and construction disasters causes negative consequences such as poor construction, and economic losses are caused by the absence of infrastructure due to delayed schedules. Data-based scientific approaches and statistical analysis are needed to solve the risks of such construction projects. Data collected in actual construction projects is stored in unstructured text, so to apply data-based risks, data pre-processing involves a lot of manpower and cost, so basic data through a data classification model using text mining is required. Therefore, in this study, a document-based data generation classification model for risk management was developed through a data classification model based on SVM (Support Vector Machine) by collecting construction project documents and utilizing text mining. Through quantitative analysis through future research results, it is expected that risk management will be possible by being used as efficient and objective basic data for construction project process management.