scholarly journals Systemic View to Understanding Design Change Causation and Exploitation of Communications and Knowledge

2019 ◽  
Vol 50 (3) ◽  
pp. 288-305 ◽  
Author(s):  
Jeffrey Boon Hui Yap ◽  
Martin Skitmore ◽  
Jason Gray ◽  
Kamran Shavarebi

Frequent changes pervasively undermine project schedule performance. Despite voluminous research into project delays, however, the persistence of the problem demands that a systemic approach be adopted to investigate design change causation and to explore the efficacy of communications and knowledge as strategic project controls. Drawing on a hybrid research design, the critical variables are identified and mapped onto causal loop diagrams to enable practical holism. The findings indicate that effective project communications engenders collaborative team dynamics and collective learning, whereas project learning contributes to knowledge reuse and the improved expert judgment needed for transforming design change management and schedule control.

2016 ◽  
Author(s):  
J Mohr ◽  
◽  
P Hengst ◽  
W McKay ◽  
◽  
...  

2011 ◽  
Vol 8 (3) ◽  
pp. 373-382 ◽  
Author(s):  
Genyuan Fei ◽  
James Gao ◽  
Dele Owodunni ◽  
Xiaoqing Tang

2020 ◽  
Vol 10 (1) ◽  
pp. 35-41
Author(s):  
Jayet Moon

AbstractThe intent of this article is to explore a mathematically sound method to graphically monitor schedule performance index (SPI) such that it enables the project manager to take objective data based decisions regarding the progress of the project schedule. The article aims to leverage the theory and application of control charts, specifically the U chart and Laney U chart and test its applicability to earned value management by trending schedule performance index on a time series chart. Off the shelf software, MinitabTM was used to generate the control charts based on earned value and planned value. While this paper proves that the Laney U chart, with correct interpretation, acts as an effective trigger-based tool for schedule risk management, it also generates further avenues for research into similar use of control charts for cost performance and other quality indices.


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