AI SearchNetwork analysis using activities of uncertain durations
Call Number: AIT Thesis no.1031 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. 1031Publication details: Bangkok : Asian Institute of Technology, 1977Description: 82 pSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1977 Summary: This research work presents an integrated procedure for network analysis associated with uncertain activity duration. This procedure utilizes the Monte Carlo simulation and the critical path method, Such integration provides information on the variability of project durations and its distribution for the purpose of quantifying the risk of determining the target date of a project work. Most network simulations make use of activity durations as the random variable of the statistical distribution. This research uses two categories of variables: the rate of work and the variation of the rate of work. The distributions are found from historical data of the irrigation projects. This research is extended to the application of newly-developed concepts of criticality index and of overrunning probability curve.
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.1031 (Browse shelf(Opens below)) | 1 | Available | 30050003020459 | |||||||||||||
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20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.1031 (Browse shelf(Opens below)) | 2 | Available | 30050003020483 | |||||||||||||
40-Archives
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Asian Institute of Technology Library Archives | AIT Thesis no.1031 (Browse shelf(Opens below)) | Available | 30050160088877 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering at the Asian Institute of Technology, Bangkok, Thailand
Thesis (M.Eng.) - Asian Institute of Technology, 1977
This research work presents an integrated procedure for network analysis associated with uncertain activity duration. This procedure utilizes the Monte Carlo simulation and the critical path method, Such integration provides information on the variability of project durations and its distribution for the purpose of quantifying the risk of determining the target date of a project work. Most network simulations make use of activity durations as the random variable of the statistical distribution. This research uses two categories of variables: the rate of work and the variation of the rate of work. The distributions are found from historical data of the irrigation projects. This research is extended to the application of newly-developed concepts of criticality index and of overrunning probability curve.
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