• 제목/요약/키워드: model project

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향토산업육성사업의 자가진단모델 개발에 관한 연구 (A Study on Self-Assessment Model Development for the Local-Industry Promotion Project)

  • 손은일
    • 농촌계획
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    • 제18권3호
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    • pp.43-55
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    • 2012
  • This study proposes a self-assessment model and its implementing procedure for the local industry promotion project, the purpose of which is to develop strategies for successful carrying-out of the project by diagnosing carrying capacities of its interested parties. The model, developed principally based on Eckes' $Q{\times}A=E$ Evaluation Model, was applied to 85 project-concerned persons which had been participated in the local industry promotion project from 2009 to 2011. Through the applicability test works of this model, its usefulness and importance for better implementation of the project was ascertained, especially to reflect cultural changes of project actors positively. The actors' recognition level of the project should be one of the critical factors for the successful implementation of the local industry promotion project. So, the higher understanding in the local industry promotion project, the more positive assessment in all respects of the project. Finally, it should be considered that the assessment results might differ for the same assessment standards from assessers' different perspectives.

THE RESEARCH ON CONCEPTUAL MODEL OF LNG PLANT PROJECT PLANNING EXPERT SYSTEM

  • Moon-Sun Park;Young-Ai Kim;Seung-Wook Lee;Sung-Ryul Bae;Hyun-Wook Kang;Byoung-Jun Min;Yong-Su Kim
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1570-1575
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    • 2009
  • The purpose of this research is to propose the conceptual model of Scenario-based Project Planning Expert System which has not been used in domestic LNG plant industry. This research examines data on the plant project planning expert system of domestic and oversea, analyzes the components of project planning expert systems and benchmark excellent cases. The conceptual model of LNG plant project planning expert system is established through the procedure as has been noted above. The results of this research are as follows: First, this research draws out such components of LNG plant project planning expert system as feasibility, cost control, contract management and risk management. Second, this research proposes the conceptual model of LNG plant project planning expert system which core module is consist of feasibility evaluation, life cycle cost evaluation and decision making. Finally, each module of LNG plant project planning expert system would be integrated into the Scenario-based Project Planning Expert System.

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DB 품질개선사업의 대가 산정 모형연구 (A Development of Cost Estimation Model for Data Quality Analysis and Improvement Project)

  • 서용원;이덕희;정승호;박건수
    • 한국IT서비스학회지
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    • 제14권2호
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    • pp.51-68
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    • 2015
  • As interests in the quality of data in database systems are growing recently, analysis and improvement of data quality in databases have been an important issue. However, there has yet to be a clear agreement on how to reasonably calculate the total cost of such project. In this paper, based on real project data and budget statistics, we develop a model to estimate the cost for quality analysis and improvement project of a database. We first conduct statistical analysis to build our basic model. Throughout this analysis, we have identified factors that determine the scale of works required to conduct the project and eventually determine the cost. In addition, we have identified factors that determine the complexity of the project. These factors can adjusts the cost determined by the scale of works. Our model is verified and improved by surveys on experts. We apply our model to newly conducted projects and observe that our model estimates the cost of each project reasonably well.

도시재생 평가지표와 재생모델 설정에 관한 연구 - 공공부문 시행을 중심으로 - (A Study on establishment of urban regeneration project models and evaluation indexes - Focused on Public project -)

  • 최정민;최찬환
    • 한국농촌건축학회논문집
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    • 제13권3호
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    • pp.53-60
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    • 2011
  • The purpose of this study was to propose the urban regeneration project model that reinforce public functions and contribute effectively to urban development. The results of this study were as follows. First, this study developed objective 22 different types of evaluation indexes. The indexes allows to figure out the necessities, business value and conditions of certain urban regeneration project. Second, the urban is divided to 6 types by characteristics of functionality and location. So, each regeneration project model can be applied to meet the condition of the urban.. Third, this study proposed 5 types of urban regeneration project model to fulfil roles of public and encourage the urban development. The urban regeneration project model is supposed to perform the evaluation of urban condition using the index, typological analysis under the law and scheme and analysis of function and urban location.

중소기업을 위한 프로젝트 수행역량 평가모델 (A Project Competency Assessment Model for Small and Medium Enterprises)

  • 임형정;백동현
    • 산업경영시스템학회지
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    • 제35권3호
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    • pp.32-44
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    • 2012
  • The competitiveness of modern organizations highly depends upon organizational competencies rather than individual competencies. However, most of previous studies on project success focused on individual competencies, such as project manager's competency and leadership. Even though there are some assessment models for the organizational project competencies, they are limited in specific organizations and industries. Furthermore, it is difficult to apply them to domestic companies, especially to small and medium enterprises because some assessment items are inappropriate for them. The purpose of this study is to propose an organizational project competency assessment model that is suitable for evaluating small and medium enterprises. First, the assessment areas and items for each area are determined through extensive investigation of previous models including OPM3, CMMI, and PMBOK. Next, the weights of assessment areas and items are decided by AHP analysis of experts response in the field of the project management. Finally, a project competency assessment model with assessment sheets is proposed. The model proposed in this study might support managers of small and medium enterprises to find pros and cons of project competencies and to establish improvement plans.

R & D 프로젝트의 위험분석모형의 연구 (A Risk Analysis Model Using VERT for R & D Project Management)

  • 황홍석
    • 한국경영과학회지
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    • 제20권1호
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    • pp.85-99
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    • 1995
  • Increasingly, risk analysis is becoming important ingredients in achieving the successful implementation and application in the area of the project management. The project management system is designed to manage or control the project resources on a given activity within time, cost and performance so called TPPM (Total Productive Project Management). In this research, a risk analysis model misproposed to identify potential problem areas, quantify the risks, and generated the chice of the action that can be taken to reduce the risk. In addition two analysis models are proposed : 1) risk factor model and 2) network simulation model using VERT (Venture Evaluation and Review Technique ). The objective of the remodels is to estimate the schedule, cost performance risks. These proposed quantitative models for project risk analysis are proving its value for the project managers who need to assess the risk of changes in cost, schedule, or performance. The proposed models will be used in the area of project selection, evaluation and the allocation of project resources.

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A STUDY ON THE DEVELOPMENT OF A COST MODEL BASED ON THE OWNER'S DECISION MAKING AT THE EARLY STAGES OF A CONSTRUCTION PROJECT

  • Choong-Wan Koo;Sang H. Park;Joon-oh Seo;TaeHoon Hong;ChangTaek Hyun
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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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.

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AI-Based Project Similarity Evaluation Model Using Project Scope Statements

  • Ko, Taewoo;Jeong, H. David;Lee, JeeHee
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.284-291
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    • 2022
  • Historical data from comparable projects can serve as benchmarking data for an ongoing project's planning during the project scoping phase. As project owners typically store substantial amounts of data generated throughout project life cycles in digitized databases, they can capture appropriate data to support various project planning activities by accessing digital databases. One of the most important work tasks in this process is identifying one or more past projects comparable to a new project. The uniqueness and complexity of construction projects along with unorganized data, impede the reliable identification of comparable past projects. A project scope document provides the preliminary overview of a project in terms of the extent of the project and project requirements. However, narratives and free-formatted descriptions of project scopes are a significant and time-consuming barrier if a human needs to review them and determine similar projects. This study proposes an Artificial Intelligence-driven model for analyzing project scope descriptions and evaluating project similarity using natural language processing (NLP) techniques. The proposed algorithm can intelligently a) extract major work activities from unstructured descriptions held in a database and b) quantify similarities by considering the semantic features of texts representing work activities. The proposed model enhances historical comparable project identification by systematically analyzing project scopes.

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전산도구 기반의 경량전철사업 시스템엔지니어링 적용모델 SELRT 개발 (A study on the Development of Systems Engineering Application Model for LRT based on MBSE)

  • 한석윤;김주욱;최요철
    • 시스템엔지니어링학술지
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    • 제8권1호
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    • pp.9-19
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    • 2012
  • The Light Rail Transit Project is a large scaled project which takes several years in building a system. After construction, LRT system is operating for several tens of years. For these characteristics, the right application of systems engineering to LRT project greatly effects the project success. In this paper, we present systems engineering application model to LRT project i.e. SELRT which include systems engineering technical process, core technology management process, project support process. SELRT also has a module for the exchange of outputs in SE tool and PM tool. Systems engineering processes in SELRT mainly base on ISO/IEC 15288. In future, we expand the range of SE processes and improve the usability in SELRT. We expect that this model will contribute to improve the efficiency in LRT project and to success the LRT project.

Prediction Model of Final Project Cost using Multivariate Probabilistic Analysis (MPA) and Bayes' Theorem

  • Yoo, Wi Sung;Hadipriono, FAbian C.
    • 한국건설관리학회논문집
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    • 제8권5호
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    • pp.191-200
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    • 2007
  • This paper introduces a tool for predicting potential cost overrun during project execution and for quantifying the uncertainty on the expected project cost, which is occasionally changed by the unknown effects resulted from project's complications and unforeseen environments. The model proposed in this stuff is useful in diagnosing cost performance as a project progresses and in monitoring the changes of the uncertainty as indicators for a warning signal. This model is intended for the use by project managers who forecast the change of the uncertainty and its magnitude. The paper presents a mathematical approach for modifying the costs of incomplete work packages and project cost, and quantifying reduced uncertainties at a consistent confidence level as actual cost information of an ongoing project is obtained. Furthermore, this approach addresses the effects of actual informed data of completed work packages on the re-estimates of incomplete work packages and describes the impacts on the variation of the uncertainty for the expected project cost incorporating Multivariate Probabilistic Analysis (MPA) and Bayes' Theorem. For the illustration purpose, the Introduced model has employed an example construction project. The results are analyzed to demonstrate the use of the model and illustrate its capabilities.