An Active Construction Dynamic Schedule Management Model: Using the Fuzzy Earned Value Management and BP Neural Network

2021 ◽  
Author(s):  
Fangfang Yu ◽  
Xiaobo Chen ◽  
Clark A. Cory ◽  
Zhixuan Yang ◽  
Yingwen Hu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Management Model ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management ◽  
Schedule Management ◽  
Dynamic Schedule

A novel earned value management model using Z-number

2014 ◽  
Vol 7 (1) ◽  
pp. 97 ◽  
Author(s):  
Mostafa Salari ◽  
Morteza Bagherpour ◽  
John Wang
Keyword(s):  
Management Model ◽  
Value Management ◽  
Earned Value ◽  
Earned Value Management

Directed earned value management based on ordered fuzzy numbers

2021 ◽  
pp. 1-14
Author(s):  
Seyed Taha Hossein Mortaji ◽  
Siamak Noori ◽  
Morteza Bagherpour
Keyword(s):  
Fuzzy Numbers ◽  
Lower Cost ◽  
Project Managers ◽  
Value Management ◽  
Monitoring And Control ◽  
Earned Value ◽  
Earned Value Management ◽  
Project Monitoring ◽  
And Control

Earned value management is well-known as the most efficient method of project monitoring and control providing relatively reliable information about the project performance. However, this method requires accurate estimates of the progress of project activities, which are always associated with uncertainties that, if ignored or not addressed well, lead to incorrect results. To address this issue, the application of multi-valued logic, in particular fuzzy logic, in earned value management has recently attracted a lot of attention both in practice and research. This paper introduces directed earned value management (DEVM) in which ordered fuzzy numbers are used to express the so-called uncertainties as well as to capture more information about the trend of the project progress. To evaluate the performance of the proposed method, several numerical examples and a case study are presented. The results reveal that compared to the existing methods, DEVM has a lower computational complexity. Also, it doesn’t suffer from the overestimation effect and as a result, it has a higher ability to express project-specific dynamics. In sum, the proposed method allows project managers to make informed decisions that lead to taking preventive and corrective actions promptly and at a lower cost.

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