Recent Advances on the Recognition of Important Processes in Project Progress Management

Author(s): Dui Hongyan*.

Journal Name: Recent Patents on Computer Science

Volume 12 , Issue 1 , 2019

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Graphical Abstract:


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.

Keywords: Bayesian network, processes, project progress management, importance measure, operational efficiency, nodes.

H. Kerzner, Project management: A systems approach to planning, scheduling, and controlling., John Wiley & Sons: New York, 2013.
F.V. Jensen, An introduction to Bayesian networks., Springer-Verlag: New York, 1996.
O.P. Sanchez, M.A. Terlizziand, and H. Moraes, "Cost and time project management success factors for information systems development projects", Int. J. Proj. Manag., vol. 35, pp. 1608-1626, 2017.
M.L. Martens, and M.M. Carvalho, "Key factors of sustainability in project management context: A survey exploring the project managers’ perspective", Int. J. Proj. Manag., vol. 35, pp. 1084-1102, 2017.
M. Radujković, and M. Sjekavica, "Project management success factors", Procedia Eng., vol. 196, pp. 607-615, 2017.
A. Izmailov, D. Korneva, and A. Kozhemiakin, "Project management using the buffers of time and resources", Procedia Soc. Behav. Sci., vol. 235, pp. 189-197, 2016.
P. Gardoni, K.F. Reinschmidt, and R. Kumar, "A probabilistic framework for Bayesian adaptive forecasting of project progress", Comput. Aided Civ. Infrastruct. Eng., vol. 22, pp. 182-196, 2007.
V. Khodakarami, N. Fenton, and N.N. Martin, "Project scheduling: Improved approach to incorporate uncertainty using Bayesian networks", Proj. Manage. J., vol. 38, pp. 39-49, 2007.
H. Dui, L. Chen, and S. Wu, "Generalized integrated importance measure for system performance evaluation: Application to a propeller plane system", Eksploat Niezawodn., vol. 19, pp. 279-286, 2017.
H. Dui, S. Si, S. Wu, and R.C.M. Yam, "An importance measure for multistate systems with external factors", Reliab. Eng. Syst. Saf., vol. 167, pp. 49-57, 2017.
H. Dui, S. Si, and R.C.M. Yam, "A cost-based integrated importance measure of system components for preventive maintenance", Reliab. Eng. Syst. Saf., vol. 168, pp. 98-104, 2017.
H. Dui, S. Si, and R.C.M. Yam, "Importance measures for optimal structure in linear consecutive-k-out-of-n systems", Reliab. Eng. Syst. Saf., vol. 169, pp. 339-350, 2018.
"E. Osato, H. Yamamoto and K. Kojima,", “Project management system”,. WO 2016JP52652, 2016.
"H. Liang,", “Project progress reminding method and project progress reminding system”,. CN 20171106700, 2017.
"Z. Zhang, P. Cao and Q. Zhu,", “Method of project management”,. CN 201611242901, 2016.
"J. Tian and J. Lai,", “Construction project time management system security cap system based on PLC and WIFI transmitting data”,. CN 20162665117U, 2016.
"Q. Chen, L. Liang, C. Han, Y. Qu and Y. Zhao,", “Project management monitoring system and method”,. CN 201611070405, 2016.
"C. Jiang, X. Luo and X. Chen,", “Project total-factor management platform”,. CN 201611250190, 2016.

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Article Details

Year: 2019
Page: [49 - 57]
Pages: 9
DOI: 10.2174/2213275911666181023095609
Price: $58

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