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ABSTRACT
Every year in Vietnam, hundreds of contractors meet financial difficulties or
go bankrupt, partly due to the high degree of uncertainty in the construction industry Although many factors may lead to this failure, financial and budgetary factors are the most common cause Financial issues not only affect cash-flow, but also affect interaction between participants in construction project Therefore, identification and reduction of risks affecting the project cash-flow are vital to the successful management of main contractor in the construction project
Data research is collected from construction engineers and project managers working on construction projects in Ho Chi Minh City to find out factors affecting main contractors¶V cash-flow The statistic result includes 26 main influencing factors from 40 reviewed factors The author builds an overall BBNS model through
Trang 6the survey of engineers and experts on management position within construction projects The result includes 61 causal relationships from the above influencing factors
The author has applied the BBNs model to an actual construction project to check the validity of the model The model will help the main contractor manage the project cash-flow better First, the author adjusts the BBNs Network Model by interviewing the experts in construction project to eliminat variables and cause-effect relationships which does not exist in the actual construction project The result includes 20 factors and 47 cause-effect relationships The author then interviews the managers in main contractor and imports the probability data into each factor nodes in BBNS model The author uses MSBNX software to calculate the probabilities of each state of each parent nodes Finally, the author compares the probabilities of the Over Cost Node and the Overall Schedule Delay Node of BBNS model with the actual project data
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