• Title/Summary/Keyword: Project Difficulty

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Critical Environmental Management Factor by Project Participants for Considering Work Importance and Difficulty (업무 중요도-난이도를 고려한 프로젝트 참여주체별 핵심 환경관리 항목 도출)

  • Hong, Suk-Kyoo;Kim, Chang-Won;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.11a
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    • pp.214-215
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    • 2013
  • Recently, Construction industry has been trying to reduce environmental impacts reflecting the global trend 'Green Growth'. However most of previous studies focused on operation & maintenance phases and do not have been approached construction phases. In addition, environmental management factors by project participants are assessed with only weight of factors, overlooking these work difficulty. Therefore This study aims to deducted the critical environmental management factors by project participants considering work difficulty in plan, design and construction phase. The basis data is collected through literature reviews and interview targeting each project participant and analyze these data using importance-difficulty analysis(IDA).

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A Study of Project Characteristics and Project Performance Level of difficulty (건설 프로젝트 특성과 프로젝트 성과 난이도 도출에 관한 연구)

  • Cho, Young-Seon;Cha, Hee-Sung
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.6
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    • pp.78-88
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    • 2010
  • Since the larger and complex construction projects are performed, project performance measurement is highlighting the importance to eliminate inefficiencies and plan to reasonable management practices. So many researchers are conducting research about the project critical sucess factor. But, these factors are mixed both management practices to improve performance and native project characteristics. Therefore performance measurement data couldn't apply to another project successfully. And the project characteristics affect project performance. But contractor couldn't change characteristics. This study provides a project characteristics's definition and classification. This study provides a quantitative level of performance improvement difficulty through out project manager survey. The contractor can estimate a level of performance difficulty through initial project information. With this, project contractor can more efficiently manage project.

A Study on the Risk Management of Core Technology R&D Project using Degree of Difficulty and Technology Readiness Level (기술난이도와 기술성숙도를 이용한 핵심기술 연구개발 위험도 관리에 관한 연구)

  • Lee, Taehyung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.6
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    • pp.789-796
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    • 2016
  • In the Core Technology R&D of the defence area, the development of the related core element technology could be the foundation to develop advanced weapon system in the future. But it might make various problems if you can not accurately define the TRL of the element technology. In other words, if the technology is not sufficiently mature and then the project starts, it might require an increase in the development period and additional cost. Finally the system will be in an incomplete state and result in user dissatisfaction and the project failure. Therefore it is a very important task to properly assess the TRL for a successful project. In this study, We propose the method for risk management of core technology R&D project of the defence area using the QFD process with degree of difficulty and technology readiness level. It is also presented the process to determine the risk level using TRL and Degree of difficulty. Finally We apply this method to UGV system for verifying the result of this study.

Selecting Optimum Management Practicesin Pre-construction Phase Considering Project Characteristics

  • Cha, Hee-Sung;Kim, Ki-Hyun;Ko, Young-Jin
    • Journal of Construction Engineering and Project Management
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    • v.2 no.1
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    • pp.1-4
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    • 2012
  • The importance of project performance management as an alternative for solving problems is rising, which are followed by the hardships of managing construction project in the construction industry. This research classifies and applies the improvements made by the operator's work, in order to apply factors of success on the construction project, as performance management factors. In addition, in order to predict the results reflecting the project characteristic of performance management factor un-improvable by the operator in the initial stage of construction, the effect of project characteristic to the performance was drawn by performance difficulty. Also, in order to improve the predicted performance, researches on setting valid best practices according to the performance territory through a correlation analysis between the best practices improvable through the operator's work, and the performance was made.

A Study on the Development of PMO Cost Estimation Model (PMO 대가 산정모형의 개발)

  • Seo, Yong Won;Lee, Duck Hee
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.169-188
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    • 2014
  • Recently the complexity and difficulty of the IT projects are increasing due to technological and environmental risks, resulting in the adoption of PMO(Project Management Office) onto IT project management practices, including public area projects. For example, the Korean government regulated the application of PMO onto large scale public IT projects. However, since there has been no reliable method to estimate the cost to execute PMOs, a PMO cost evaluation model to support the budget and cost planning of PMO projects is required. Thus, the purpose of this research is to develop a systematic cost evaluation model for PMO projects. We identified the dimensions that determine the PMO execution cost to be the scale of the subject project, the technical difficulty level of the subject project, and the tasks to be executed in the PMO project. Based on the determinants, the PMO execution cost model were developed from historical data and experts opinion. Upon verification, the validity of the developed model has high level of consistency compared with their experiences of real PMO project costs.

A Development of Project Performance Predicting System(PPS) considering Construction Project Characteristics (건축 프로젝트의 특성을 고려한 성과 난이도 예측 시스템 개발)

  • Ko, Young-Jin;Cha, Hee-Sung
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.1
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    • pp.62-72
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    • 2011
  • Currently, The failure of construction project is increasing to be caused by a changing construction environment. According to this circumstances, Researches of project success factors affecting performance have been presented to develop strategies for efficient construction project management in the construction industry. However, Conducting efficient construction project management is difficult because project manager could not know which project success factors can be improved or not. Especially, although the project characteristics were derived the level of difficulty for performance, research of the project characteristics which could not be improved as influence factor to performance is lacking. Therefore, This paper has developed the Performance Predicting System(PPS) with Fuzzy set theory to establish. PPS has been developed to establish efficient project management strategies and to save time and effort. As Contractor inputs the project characteristics, PPS can predict the level of difficulty of performance.

The Effects of IT Project Risk Management Factors on Project Performance (IT 프로젝트 위험관리요인이 프로젝트 성과에 미치는 영향)

  • Jang, Sung-Bong;Kwahk, Kee-Young
    • Korean Management Science Review
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    • v.28 no.2
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    • pp.31-51
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    • 2011
  • Many companies have considered IT outsourcing as one of strategic alternatives in order to rapidly respond to changing business environment and strengthen their competitiveness. Despite its strategic role, however, IT outsourcing project has been plagued by a high failure rate and difficulty in realizing the promised project performance because of its inappropriate risk management. This study examines the effect of IT project management risk factors on project performance. We propose that project risk management factors(communication, technology sharing, and project control) influence project performance(process performance and product performance). Based on the empirical results, theoretical and practical implications of the study are discussed along with its limitations.

A Progress-based Expert System for Quantitative Assessments of Project Delay

  • Yoo, Wi Sung
    • Architectural research
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    • v.10 no.1
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    • pp.41-48
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    • 2008
  • Construction projects have frequently exceeded their schedule despite reliable estimates at the start of a project. This problem was attributed to unpredictable causes at the beginning and to shortage of proper tools to accurately predict project completion date. To supplement this difficulty, project managers need a comprehensive system that can be employed to monitor the progress of an ongoing project and to evaluate potential delay for achieving the goal on time. This paper proposed a progressive-based expert system for quantitative assessments of project delay at the early stages of the execution. Furthermore, the system is used to inspect the change of the uncertainty on completion date and its magnitude. The proposed expert system is helpful for furnishing project managers a warning signal as a project is going behind schedule and for tracking the changed uncertainty at a desired confidence level. The main objectives of this paper are to offer a new system to overcome the difficulties of conventional forecasting tools and to apply a construction project into the system to illustrate its effectiveness. This paper focuses on construction phase of project development and is intended for the use by project managers.

Selecting Optimum Management Practices according to Project Characteristics for Improving Project Performance (건설 프로젝트 특성에 따른 성과 제고가 가능한 최적 공사 관리기법 선정 방안)

  • Ko, Young-Jin;Cha, Hee-Sung;Shin, Dong-Woo;Kim, Kyung-Rai
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.1
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    • pp.3-13
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    • 2012
  • The importance of project performance management as an alternative for solving problems is rising, which are followed by the hardships of managing construction project in the construction industry. This research classifies and applies the improvements made by the operator's work, in order to apply factors of success on the construction project, as performance management factors. In addition, in order to predict the results reflecting the project characteristic of performance management factor un-improvable by the operator in the initial stage of construction, the effect of project characteristic to the performance was drawn by performance difficulty. Also, in order to improve the predicted performance, researches on setting valid best practices according to the performance territory through a correlation analysis between the best practices improvable through the operator's work, and the performance was made.

SELECTING OPTIMUM MANAGEMENT PRACTICES IN PRE-CONSTRUCTION PHASE CONSIDERING PROJECT CHARACTERISTICS

  • Hee-Sung Cha;Ki-Hyun Kim;Young-Jin Ko
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.609-613
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    • 2011
  • The importance of project performance management as an alternative for solving problems is rising, which are followed by the difficulties of managing construction project in the construction industry. This research classifies and applies the potential improvement made by the construction practitioners. In order to apply influential factors for success on the construction project, the research identifies the relationship between the factors and performance management practices. In addition, in order to predict the results reflecting the project characteristics which are un-improvable by the construction managers in the initial stage of construction, the effect of project characteristics to the identified management practices have been drawn by performance area. Finally, in order to improve the predicted performance, this research provides a framework in setting valid best practices according to the performance areas through a statistical analysis between the best practices and project characteristics through the industry survey.

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