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    Probabilistic Approach for Budgeting in Portfolio of Projects

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 003
    Author:
    Ali Touran
    DOI: 10.1061/(ASCE)CO.1943-7862.0000128
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a mathematical model for calculating the budgetary impact of increasing the required confidence level in a probabilistic risk assessment for a portfolio of projects. The model provides a rational approach for establishing a probabilistic budget for an individual project in such a way that the budget for a portfolio of projects will meet a required confidence level. The use of probabilistic risk assessment in major infrastructure projects is increasing to cope with major cost overruns and schedule delays. The outcome of the probabilistic risk assessment is often a distribution for project costs. The question is at what level of confidence (i.e., the probability that budget would be sufficient given the cost distribution) should be used for establishing the budget. The proposed method looks at a portfolio of such projects being funded by the same owner. The owner can establish a target probability with respect to its annual budget. The model can help the owner establish confidence level for individual projects and also examine the effect of changing the confidence level of the portfolio budget on the budget and the confidence level of individual projects. The paper is relevant to practitioners because it provides a methodology for establishing confidence levels by the owner agencies in the emerging field of cost risk assessment for infrastructure projects. A numerical example is provided using actual transit project data to demonstrate the model application.
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      Probabilistic Approach for Budgeting in Portfolio of Projects

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    contributor authorAli Touran
    date accessioned2017-05-08T21:39:02Z
    date available2017-05-08T21:39:02Z
    date copyrightMarch 2010
    date issued2010
    identifier other%28asce%29co%2E1943-7862%2E0000133.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58277
    description abstractThis paper presents a mathematical model for calculating the budgetary impact of increasing the required confidence level in a probabilistic risk assessment for a portfolio of projects. The model provides a rational approach for establishing a probabilistic budget for an individual project in such a way that the budget for a portfolio of projects will meet a required confidence level. The use of probabilistic risk assessment in major infrastructure projects is increasing to cope with major cost overruns and schedule delays. The outcome of the probabilistic risk assessment is often a distribution for project costs. The question is at what level of confidence (i.e., the probability that budget would be sufficient given the cost distribution) should be used for establishing the budget. The proposed method looks at a portfolio of such projects being funded by the same owner. The owner can establish a target probability with respect to its annual budget. The model can help the owner establish confidence level for individual projects and also examine the effect of changing the confidence level of the portfolio budget on the budget and the confidence level of individual projects. The paper is relevant to practitioners because it provides a methodology for establishing confidence levels by the owner agencies in the emerging field of cost risk assessment for infrastructure projects. A numerical example is provided using actual transit project data to demonstrate the model application.
    publisherAmerican Society of Civil Engineers
    titleProbabilistic Approach for Budgeting in Portfolio of Projects
    typeJournal Paper
    journal volume136
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000128
    treeJournal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 003
    contenttypeFulltext
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