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    Simulation Model to Forecast Project Completion Time

    Source: Journal of Construction Engineering and Management:;1985:;Volume ( 111 ):;issue: 004
    Author:
    Hira N. Ahuja
    ,
    V. Nandakumar
    DOI: 10.1061/(ASCE)0733-9364(1985)111:4(325)
    Publisher: American Society of Civil Engineers
    Abstract: Project cost is most sensitive to its schedule. The construction project environment comprising dynamic, uncertain, but predictable, variables such as weather, space congestion, workmen absenteeism, etc., is changing continuously, affecting activity durations. The reliability of project duration forecast can be enhanced by an explicit analysis to determine the variation in activity durations caused by the dynamic variables. A computer model is used to simulate the expected occurrence of the uncertainty variables. From the information that is collected normally for a progress update of the tactical plan and by simulating the project environment, the combined impact of the uncertainty variables is predicted for each progress period. By incorporating the combined impact in the duration estimates of each activity, the new activity duration distribution is generated. From these activity duration distributions, the probability of achieving the original project completion time and of completing the project at any other time is computed.
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      Simulation Model to Forecast Project Completion Time

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    https://yetl.yabesh.ir/yetl1/handle/yetl/21620
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    contributor authorHira N. Ahuja
    contributor authorV. Nandakumar
    date accessioned2017-05-08T20:37:36Z
    date available2017-05-08T20:37:36Z
    date copyrightDecember 1985
    date issued1985
    identifier other%28asce%290733-9364%281985%29111%3A4%28325%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/21620
    description abstractProject cost is most sensitive to its schedule. The construction project environment comprising dynamic, uncertain, but predictable, variables such as weather, space congestion, workmen absenteeism, etc., is changing continuously, affecting activity durations. The reliability of project duration forecast can be enhanced by an explicit analysis to determine the variation in activity durations caused by the dynamic variables. A computer model is used to simulate the expected occurrence of the uncertainty variables. From the information that is collected normally for a progress update of the tactical plan and by simulating the project environment, the combined impact of the uncertainty variables is predicted for each progress period. By incorporating the combined impact in the duration estimates of each activity, the new activity duration distribution is generated. From these activity duration distributions, the probability of achieving the original project completion time and of completing the project at any other time is computed.
    publisherAmerican Society of Civil Engineers
    titleSimulation Model to Forecast Project Completion Time
    typeJournal Paper
    journal volume111
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(1985)111:4(325)
    treeJournal of Construction Engineering and Management:;1985:;Volume ( 111 ):;issue: 004
    contenttypeFulltext
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