• International conference on construction engineering and project management
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• 2022.06a
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• pp.204-212
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• 2022

Recently, the Korean government has been actively promoting the smart city as their strategic agenda. However, to build smart cities that are greener, the authors believe it is essential to rapidly transit conventional energy sources such as fossil fuels to renewable energy. Although there is a big potential for Offshore wind in Korea, there has not been a full-scale commercial offshore wind farm until today. Since Korea is relatively a new market compared to the EU, it can be risky for developers. The authors will introduce risk management best practices in the offshore wind industry applicable to the Korean environment. This paper will mainly introduce an offshore wind project size of 99 MW. The project is expecting a Finance Close (FC) in Q3 2022, so the project team has prepared a risk register with over 150 risks and levers throughout the project lifecycle. Overall risks include risks with Development Expenditure (DEVEX) impact, a Capital Expenditure (CAPEX) impact, and an Operating Expenditure (OPEX) impact. Based on the identified risks, a more qualitative assessment of Cost and Schedule Impact was conducted. In conclusion, a Monte Carlo simulation was performed to propose a quantitative risk assessment to evaluate a benchmark contingency of the project cost.

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

• Knowledge Management Research
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• v.18 no.2
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• pp.45-63
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• 2017

In the success of an IT project, the role of S/W developer in carrying out the project is critical and crucial. However, compared to its importance, there is only a few studies on the role of human resources in software engineering field, mainly focusing on technology. Based on regulatory focus theory, this study examines how the effect of technology recency on developer's intention to participate in the IT project changes depending on the regulatory focus of the software developer. As a result of the experiment, it was confirmed that there is a difference in the effect of technology recency on project participation intention according to the condition of developer's regulatory focus. This study is meaningful because it extends regulatory focus theory to software engineering field and made theoretical contribution to the research field of behavioral software engineering. In practical, it was possible to suggest a way to improve the intention of the developer to participate in the project, by understanding the software developer in the IT project, considering the software developer propensity and project characteristics.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.203-213
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• 2007

In the past, several construction projects have exceeded their schedule resulting in financial losses to the owners; at present there are very few methods available to accurately forecast the completion date of a project. These nay be because of unforeseen outcomes that cannot be accounted for earlier and because of deficiency of proper tools to forecast completion date of said project. To overcome these difficulties, project managers may need a tool to predict the completion date at the early stage of project development. Bayesian Inference introduced in this paper is one such tool that can be employed to forecast project progress at all construction stages. Using this inference, project managers can combine an initially planned project progress (growth curve) with reported information from ongoing projects during the development, and in addition, dynamically revise this initial plan and quantify the uncertainty of completion date. This study introduces a theoretical model and proposes a mathematically information-based framework to forecast a project completion date that corresponds with the actual progress data and to monitor the modified uncertainties using Bayesian Inference.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.676-684
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• 2009

Decision making at the early stages of a construction project has a significant impact on the project, and various scenarios created based on the owner's requirements should be considered for the decision making. At the early stages of a construction project, the information regarding the project is usually limited and uncertain. As such, it is difficult to plan and manage the project (especially cost planning). Thus, in this study, a cost model that could be varied according to the owner's requirements was developed. The cost model that was developed in this study is based on the case-based reasoning (CBR) methodology. The model suggests cost estimation with the most similar historical case as a basis for the estimation. In this study, the optimization process was also conducted, using genetic algorithms that reflect the changes in the number of project characteristics and in the database in the model according to the owner's decision making. Two optimization parameters were established: (1) the minimum criteria for scoring attribute similarity (MCAS); and (2) the range of attribute weights (RAW). The cost model proposed in this study can help building owners and managers estimate the project budget at the business planning stage.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.230-239
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• 2021

There is a growing interest in project management knowledge, project management information systems, and process improvement to systematically project execution in public sectors, achieve high performance and value, and increase the effectiveness of the overall industry. In particular, the software industry is a knowledge-intensive industry centered on professional manpower. This study examines the effect of the project managers' competences of regional SW promotion agencies on and project performance and the moderating effect of the level of project management maturity. We collected data using a questionnaire to the project managers of regional SW promotion agencies. In this study, a structural equation model was used to analyze the relationship between project managers' competences and performance. In addition, a multi-group structural equation model was used to analyze the moderating effect according to the high and low project maturity. As a result of the analysis, it was found that only contextual competence among the competences of the project manager had a positive effect on project performance. It was found that technical and behavioral competence did not have a positive effect on management and completion performance. It was found that the moderating effect according to the maturity of business management of local institutions was not significant.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.322-325
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• 2006

The research project evaluates different infrastructure project delivery methods used internationally. The goal is to define the main benefits, deficiencies, and requirements of the project delivery systems for both the short term and long term perspectives. Also, the research attempts to determine alternatives to modify and to promote change in the current infrastructure project delivery methods in order to make the processes more efficient with value added benefits to all participants.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.25-30
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• 2012

"The engineering education program for environmental intention and value creation" has been executed from 2008 to 2010 in Suzuka National College of Technology, which program was promoted as "Good Practice for Education" by Ministry of Education, Culture, Sports, Science and Technology Japan. "Eco-car project" is one of these practical ecology/environment education programs. The project's members have been learning and researching the environmental managements by the process of design, manufacturing, and assembly of solar car, highly effective fuel consumption car (Eco-run car), electric vehicle and fuel-cell car. Also this project was supported by some professional experts of the local industries and community. The students learned the actual industrial technique, the engineering management and the structure of local industries by this project. In this paper, the environmental intention engineering design education with local industry collaboration is introduced.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.25-32
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• 2022

As a project delivery method, Design-Build (DB) has provided owner, architect, and contractor groups with a process of early design and rapid construction for the past three decades. Although there are many benefits to using standard DB, dissatisfaction has arisen due to limitations to innovate, limited owner involvement during design, and often lengthy procurement. Progressive Design-Build (PDB) has become an appealing alternative providing benefits not seen with standard DB. This paper investigates how PDB impacts a project and how it compares against standard DB; it also presents a proposed framework for evaluating the owner's responsibility and assessment of a project, which we named the "Four Pillars of Project Success". The four pillars are defined with respect to an owner's responsibility and assessment of a project, including project predictability, project risk, project schedule, and project cost. We conducted a literature review, examined several public project case studies, analyzed PDB project information collected by the Design-Build Institute of America (DBIA), and held stakeholder interviews with owners, contractors, and architects who have used both PDB and standard DB. This paper offers insight into PDB's structure and outcomes so an owner group can make an informed decision when considering PDB as their next construction contracting method.

• Journal of the Korea Institute of Building Construction
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• v.12 no.1
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• pp.31-41
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• 2012

In construction, the outcome of work depends on the leadership of the project manager, and as a result this has been emerging as an important factor. The purpose of this study is to analyze the main elements of leadership that are essential for project managers, and to rank these elements in order of importance. In this study, leadership and its elements are reviewed through reviewing the literature, and the main elements and their relative importance for project managers were analyzed through questionnaire survey of project managers, contractor engineers, and subcontractor engineers. Through this survey, it was found that the project manager's leadership had a significant influence on the success of a construction project, and this study revealed that the key elements of leadership for project manager could be ranked in the order of resolution, responsibility, and reliance.