Title: Hybrid artificial neural network and statistical model for forecasting project total duration in earned value management
Authors: You Li; Lu Liu
Addresses: School of Economics and Management, BeiHang University, Beijing 100191, China. ' School of Economics and Management, BeiHang University, Beijing 100191, China
Abstract: The paper proposes a new hybrid approach for forecasting project total durations in earned value management, which combines artificial neural network and random number simulation method to forecast the earned schedule indicator of each period one step further based on several nearest finished periods' status and then employs statistical method to estimate the project total duration and its intervals in each period of the project. Experiment results and test show our hybrid model outperforms the classic method of earned value management in both aspects of interval estimation and point estimation.
Keywords: project management; earned value management; EVM; artificial neural networks; ANNs; earned schedule; forecasting; statistical modelling; total project duration; random number simulation.
International Journal of Networking and Virtual Organisations, 2012 Vol.10 No.3/4, pp.402 - 413
Available online: 08 Apr 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article