Buffer sizing of critical chain based on attribute optimization

This research proposes an innovative buffer sizing method based on optimizing attributes in order to improve the efficiency of buffer management and optimize the estimation accuracy of a project buffer. The Monte Carlo simulation results show that the buffer obtained using this method is smaller tha...

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Bibliographic Details
Published in:Concurrent engineering, research and applications research and applications, 2014-09, Vol.22 (3), p.253-264
Main Authors: Zhang, Junguang, Song, Xiwei, Díaz, Estrella
Format: Article
Language:English
Subjects:
Buffers
Computer simulation
Errors
Monte Carlo methods
Optimization
Pastes
Roots
Sizing
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Summary:This research proposes an innovative buffer sizing method based on optimizing attributes in order to improve the efficiency of buffer management and optimize the estimation accuracy of a project buffer. The Monte Carlo simulation results show that the buffer obtained using this method is smaller than the cut and paste method, but larger than the root square error method. These findings indicate that the proposed method gives full consideration to the interdependencies between the activities, thus avoiding the excessive protection provided by the cut and paste method and overcoming the insufficient consideration of root square error method project attributes based on the central limit theorem. The proposed method can provide the project with effective protection, along with an appropriate buffer size.
ISSN:1063-293X
1531-2003
DOI:10.1177/1063293X14541286