Background:
Comparing with the actual progress of the project and the expected target in
a project management, the processes are generally inadequate due to the overall market situation and
internal factors. If the progress and quality of the project cannot meet the requirements, then the processes
need to be adjusted to improve the project efficiency. In the related patents of project progress
management, they seldom consider the recognition of important processes.
Methods:
In this paper, based on Bayesian Network (BN), a new method for project progress management
is provided by systematic modeling methods, reasoning methods and identification methods
of importance processes.
Results:
Based on the importance analysis of process nodes and BN reasoning, the key processes of
the project progress and the important influencing nodes of the process are identified.
Conclusion:
According to the results of process importance analysis, the allocation object can be
got when adding the resources of the project. These are helpful to improve the operational efficiency
of the project progress management and provide effective methods to identify important processes.
Use of Bayesian Network Characteristics to Link Project Management Maturity and Risk of Project Overcost
