• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.217-221
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• 2003

This study proposes a new classification system and analysis methodology for time delay risk of apartment projects. And this study proposes the classification of major trades and risk level and risk index by performing expert-oriented interview and survey report on a national scale. The purpose of this study is to present basic data for time delay risk management system through the analysis of risk level, risk index and rank of major 5 trades(earth work, structure work, masonry work, window and door/glass work, and interior finish work) in apartment projects.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.385-394
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• 2018

There have been frequent reports of schedule delays due to various risks of remodeling projects, which are different from new construction. Therefore, this study was carried out to analyze the risk factors inherent in the remodeling project and the likelihood of schedule delay occurrence in the remodeling construction work. To analyze the relationship between the risk factors and the likelihood of schedule delays of remodeling projects, (1) a prototype of the office building remodeling work was developed through the analysis of existing case and literature, (2) a questionnaire survey was conducted on 29 construction managers who have been or are currently conducting remodeling projects, and (3) after evaluating the reliability of the collected questionnaire results, the relationship between the two elements, which denotes (i) likelihood of schedule delays per each work, (ii) importance of risk factors, and (iii) risk factors affecting schedule delay in remodeling work, was suggested. Using the results of this study, it is expected to develop a plan for preventing the schedule delay of the office building remodeling work through control the risk factors that may cause schedule delays.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.22-31
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• 2018

Due to the inherent risk factors of the remodeling projects, the remodeling project is failing frequently, and schedule delay are occurring in most remodeling projects. The risk factors that cause the delays in these remodeling projects are not common to all remodeling projects, and the likelihood of risk factors will be affected by the various characteristics of the project. In this context, based on the results of a reliable survey conducted on 29 construction managers who have performed remodeling projects, this research analyzes (1) "importance of each characteristic", which means how frequently the characteristics of the remodeling project affect the occurrence of risk factors, (2) "the likelihood of delay risk factors for remodeling projects", which assesses which risk factors are most likely to occur, and 3) "the level of effect of project characteristics that affects the occurrence of each risk factor." Through this study, the relationship between various characteristics of the office building remodeling projects and the delay risk factors was analyzed in various aspects, in further, it is expected that the owner planning the remodeling will be able to grasp the delay risk that is likely to occur according to the characteristics of the project in advance.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.1
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• pp.109-117
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• 2023

Schedule delays present a major risk factor, as they can adversely affect construction projects, such as through increasing construction costs, claims from a client, and/or a decrease in construction quality due to trims to stages to catch up on lost time. Risk management has been conducted according to the importance and priority of schedule delay risk, but quantification of risk on the depth of schedule delay tends to be inadequate due to limitations in data collection. Therefore, this research used the BERT (Bidirectional Encoder Representations from Transformers) language model to convert the contents of aconstruction log, which comprised unstructured data, into WBS (Work Breakdown Structure)-based structured data, and to form a model of classification and quantification of risk. A process was applied to eight highway construction sites, and 75 cases of rain schedule delay risk were obtained from 8 out of 39 detailed work kinds. Through a K-S test, a significant probability distribution was derived for fourkinds of work, and the risk impact was compared. The process presented in this study can be used to derive various schedule delay risks in construction projects and to quantify their depth.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.65-77
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• 2017

Recently, many Korean major construction companies are suffering from profit loss mainly due to a direct impact from delays in their overseas projects. In general, changes are inevitable in a large-scale project, and most of changes are directly linked to construction delay. Therefore, in the event that an extension of time is necessary due to a change, the contractor must manage the delay based on the condition of the contract to effectively manage risks from delay to the completion date. Thus it is important to understand delay protocol defined in the condition of the contract early in the project, but there have been few or no study to propose methodology or tool to support this effort. This paper presents a review on the project planning and controling practices of major Korean construction companies along with the issues on delay claims and disputes in mega-international projects and suggests a tool to assess delay risk in the condition of the contract. To propose a delay risk assessment model for international construction projects, major standard conditions of contract have been reviewed including FIDIC Red Book(1999), PSSCOC(2014) and SIA 9th Edition(2010). To reflect recent trend of major international owners, standard conditions which they are utilizing for their projects also have been reviewed including those of ARAMCO and QP. The model provides a categories of risks to be reviewed on the condition of the contract along with standard level of the risk which is common in the international standard form of the contracts. This study also performed a case study on an actual international project to confirm the effectiveness of proposed model to identify and respond to a delay risk of a project.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.509-512
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• 2003

The Critical Path Method(CPM) is an effective tool used for planning and scheduling. One of strong point in the CPM is what can calculate float. Float is able to prolong without having an effect on overall schedule of project, however concept and scope about ownership is not definite, because it is a by-product of project. Thus participants have had many dispute in using float because of their interests. In recent years, a few theories have evolved in an attempt to solve this problem. But the prior research did not make a reasonable distribution of float because their criteria of distribution was based on ratio for total project time. Actually, an application of float is achieved by participant's delay risk. Therefore. this paper proposes criteria for float distribution using delay risks, and the framework for the assessment of the delay risks.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.165-176
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• 2015

Recently many Korean large-sized construction companies as well as specialty contractors have been expanding their business in the overseas market to mitigate impacts from long-term stagnation in the domestic market. Such as a result, it has been arisen as a major issue that contractors effectively manage the delays which have been commonly faced with in international mega-projects. Therefore it can be said that the ability of the delays management leads a success of project. This paper presents a review of literature for delay analysis methods such as time impact analysis(TIA) and raises practical problems to rationally substantiate the duration of extension of time(EoT) in international mega projects which have wide scope of works as well as complicated and detailed contract baseline programs by taking theoretical approaches. We suggest the two improvement concepts to substantiate the EoT claims which are effectively applicable to practical projects. The first is to sort out dominant delays among numerous delays in advance of applying a delay analysis. The second is to set up the delay sections with the advanced concept for analysing delays' effects by TIA. This study performed a case study on an actual international mega-project. to confirm the effectiveness of improvement concepts that this practical approach is applicable for the assessment of EoT. In conclusion, this paper supposes to provide practitioner in charge for an EoT claim with an advanced substantiation methodogy when they not only analyse the construction delays by using TIA, but also negotiate with stakeholders about with the assessment of EoT.

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

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.101-110
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• 2008

In order to achieve the best performance of a project, uncertainties involved in the building construction process need to be identified in the planning phase of the project. Risk management plays a significant role in construction to minimize risk occurred due to uncertainties of a project. Although the importance of the risk management has been known to the construction industry, a more effective system should be developed to meet the demands of the industry. The purpose of this study is to develop the effective risk management system for scheduling the construction processes. The study provides a tool that can optimize the management system which would assist managers to identify schedule risks in the planning phase of the project.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.