A soft computing approach based on critical chain for project planning and control in real-world applications with interval data

2021 ◽  
Vol 98 ◽  
pp. 106915
Author(s):  
S. Aramesh ◽  
S.M. Mousavi ◽  
V. Mohagheghi ◽  
E.K. Zavadskas ◽  
J. Antucheviciene
Keyword(s):  
Soft Computing ◽  
Real World ◽  
Interval Data ◽  
Project Planning ◽  
Planning And Control ◽  
Real World Applications ◽  
And Control ◽  
Critical Chain ◽  
Computing Approach

The Interaction Between Critical Chain Sequencing, Buffer Sizing, and Reactive Actions in a CC/BM Framework

2019 ◽  
Vol 36 (03) ◽  
pp. 1950010 ◽  
Author(s):  
Xuejun Hu ◽  
Jianjiang Wang ◽  
Kaijun Leng
Keyword(s):  
Buffer Management ◽  
Project Planning ◽  
Control Technique ◽  
Planning And Control ◽  
Widespread Acceptance ◽  
The Cost ◽  
And Control ◽  
Management Preferences ◽  
Cost Factors ◽  
Critical Chain

In the past decades, the critical chain scheduling and buffer management (CC/BM) methodology has gained widespread acceptance as an emerging project planning and control technique. This paper first presents six priority indices for selecting the optimal critical chain when more than one such chain is possible. Next, we examine four schedule generation schemes for rescheduling, along with two control actions (i.e., expediting work to shorten activity durations and adding emergency resources to bring forward activity start times) for repairing a critical chain schedule whenever activity delays cross the buffer threshold. The main results of our computational experiments include the non-negligible impact of different critical chain sequences on the project robustness measures, the appropriate level of feeding buffer sizes, and the trade-off between different reactive responses in relation to the cost factors or management preferences.

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