• Journal of the Korea Institute of Building Construction
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• v.20 no.6
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• pp.527-535
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• 2020

This study analyzed main causes of claims in EPC/Turnkey projects. For this purpose, this study referred to the FIDIC silver book, which lists the international standard contract conditions for EPC/Turnkey projects. The most frequent cause of claim was delay. A process was then proposed to determine whether the owner or contractor was the responsible party when the delay claim occurred. The proposed process was for damages for delay which is the conditions of contract for indemnities against delay claim. The process was based on conditions of the contract of two previous EPC/Turnkey projects that were constructed in 2010, the FIDIC silver book, as well as the obligations of owner and contactors. The proposed process is applicable depending on the conditions of the contract and the owner's meaning. Furthermore, by identifying the responsible party, this study will contribute in identifying the possible claim types before concluding a contract and writing the specific contract.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.149-158
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• 2008

Plant construction is being a motive power of national economic growth, because it is a higher value-added business which has enormous influence through other industry. But, plant projects management of the domestic company was poor. So, the development of EPC Business Process Management method has been encouraged. Therefore, this paper performed several researches for setting up the EPC Business Process Management Model for improving plant project management. And the details are as follows. First of all, this study collected the work procedure manuals of 12 large-sized international construction companies. Secondly, from the analyzing gathered EPC work procedure manuals, issues of work procedure manuals were analyzed and improvement plans were drawn out. Basis on this, This study presents a method to improve project management for EPC plant project. 'The Work Procedure Matrix for EPC Management' and 'Key Unit Works for EPC Management' were drawn out by using overseas construction management theories and international regulations. In addition, 'The EPC Business Process Management Models' reformed to the Business process method, that is the set of specifications, documents and procedures used to manage the EPC plant project. And it describes how the EPC work procedure manuals will be used. Finally, this study suggests the model of EPC Business Process Management System. The framework of Plant project management can be clarified by using 'The Work Procedure Matrix'. And 'Key Unit Works' are used to organize the work procedure needed to improve plant projects management. The results of this study will help to improve in project management efficiency for plant construction.

• Journal of the Society of Naval Architects of Korea
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• v.53 no.2
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• pp.154-161
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• 2016

There are several existing studies for the weight estimation of offshore plants. However, most of them were applicable at the pre-FEED (Front End Engineering Design) stage. In this paper, a preliminary study on a method for the weight estimation and calculation of offshore EPC (Engineering Procurement Construction) projects is made for the use at the estimation stage after FEED. Based on literature surveys including ISO (International Organization for Standardization) 19901-5 about weight estimation, we proposes new weight factors and a weight curve. Weight factors defined in this study include MTO (Material Take-Off), estimated weight, FEED maturity factor, allowance factor, and contingency factor. The proposed method utilizes bottom-up approach for weight estimation and it can be used for the weight estimation and calculation of offshore EPC projects at the estimation stage.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05b
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• pp.103-108
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• 2010

The purpose of this study is to analyze of the risk factors for oversea plants construction projects. For this study, risk factors data from related literature review, research organization and construction company was researched and classified under each EPC phases. In addition, a questionnaire survey by plant experts was conducted for analysis of risk weight and costs and time impact on each EPC phases. The results of this study are as follows: First, a detail design errors(engineering phase), a equipment procurement plan(procurement phase), and exchange rate fluctuations(construction phase) were analyzed the highest weight factors. Second, a financing plan(engineering phase), quantity take-off bill(procurement phase), and exchange rate fluctuations(construction phase) were analyzed the highest cost impact factors. Third, detail design errors(engineering phase), a equipment procurement plan(procurement phase), and schedule management errors(construction phase) were analyzed the highest time impact factors.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.95-104
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• 2019

EPC plant projects are large and complex, requiring systematic working methodologies, accumulated data, and thorough planning through communications between the entities. In this study, the method of extracting the process planning information using asset data of the plant project and using it to present the initial process plan is presented through the concept of IAP(Interactive Planning). In order to carry out the effective IAP at the early stage of the project, this study extracted the schedule element information from the asset data, created the process plan for each work package, and applied it to the sample project case. Through the proposed IAP methodology, it is possible to promote the utilization of asset data, to identify schedule risks, and to develop countermeasures, which can form the basis for establishing the process management strategy to successfully complete the project.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.39-47
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• 2021

As domestic construction companies, which used to be concentrated in the Middle East, have expanded their overseas orders to new markets in Asia and Latin America, they have to cope with various conditions. The EPC plant project, which undertakes construction projects such as civil engineering and construction, design, purchase, construction and commissioning, has expanded its scope. As a result, it is important to collect Lessons Learned from the previous project, systematize it, and use it to respond to changes in the environment. However, many employees do not share their skills or experiences voluntarily. To do so, it is necessary to create and systematize a culture that shares experience and technology. In order to understand and analyze the current situation, a questionnaire was conducted on the EPC project-related departments of construction companies implementing the EPC plant project. About 74% of the participants said Lessons Learned's collection and utilization helped. About 53% of the people who collected and registered actual cases and 39% of the people who had experience in preventing problems using cases were identified as employees' perception and utilization of Lessons Learned systems. Detailed analysis showed differences in workplace, duties, and rank. Through this study, the current status of Lessons Learned collection and utilization of EPC plant projects is understood, and the research on collection and utilization improvement is being carried out.

• Plant Journal
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• v.5 no.2
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• pp.62-67
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• 2009

The capability of design and engineering of global EPC companies has long been equalized through past similar construction experiences. Among various key factors in the success of EPC project, the capability of engineering is considered to be the most important factor since the engineering is preceding activities of EPC contract. The failure of engineering may adversely affect the subsequent procurement & construction activities and in turn may cause cost overrun or schedule delay. Therefore, an EPC company needs to continue to improve the engineering capabilities for the success of project. The engineering capabilities can be further improved if the EPC company should prevent recurrence of similar design faults that were previously committed. This study is intended to present how to make the most of the failure examples from previous projects towards a success of project. Failure is but a stepping stone to success. The EPC company can obtain useful lessons from the analysis of past failure examples.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1165-1171
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• 2013

The oversea construction contract amount has sharply increased since 2003. The contractor's capability for EPC and project management is a key factor for a successful industrial construction project. Construction performance measurement and evaluation is needed to improve contractor's project management capability. Therefore, this paper proposes the construction performance benchmarking program for oversea industrial projects. Performance metrics consists of project cost, schedule, quality, and safety. Data from 10 oversea industrial projects were collected and analyzed. Also, this paper describes the process for development of the benchmarking program and lessons learned from industry are summarized. Finally, this paper recommends how sustainable benchmarking program should be established and implemented.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.471-480
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• 2023

The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.