Critical chain project buffer sizing based on resource constraints

Project scheduling is a complex process involving many types of resources and activities that require optimisation. The resource-constrained project scheduling problem is one of the well-known problematic issues when project activities have to be scheduled to minimise the project duration. Consequen...

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Bibliographic Details
Published in:International journal of production research 2017-02, Vol.55 (3), p.671-683
Main Authors: Zhang, Junguang, Song, Xiwei, Díaz, Estrella
Format: Article
Language:English
Subjects:
average resource constraints
buffer sizing
Buffers
Computational efficiency
critical chain
Critical path
Fuzzy
fuzzy number
Levelling
Mathematical models
Optimization
Production scheduling
Project management
resource constraints peak
Resource scheduling
Sizing
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Summary:Project scheduling is a complex process involving many types of resources and activities that require optimisation. The resource-constrained project scheduling problem is one of the well-known problematic issues when project activities have to be scheduled to minimise the project duration. Consequently, several methods have been proposed for adjusting the buffer size but none of these traditional methods consider buffer sizing accuracy based on resource constraints. The purpose of this paper is to develop a buffer sizing method based on a fuzzy resource-constrained project scheduling problem in order to obtain an appropriate proportionality between the activity duration and the buffer size. Specifically, a comprehensive resource-constrained method that considers both the general average resource constraints (GARC) and the highest peak of resource constraints (HPRC) is proposed in order to obtain a new buffer sizing method. This paper contributes to the research by considering several different aspects. First, this paper adopts a fuzzy method to calculate and obtain the threshold amount. Second, this paper discusses the resource levelling problem and proposes the HPRC method. Third, the proposed method uses a fuzzy quantitative model to calculate the resource requirement. The findings indicate that the project achieved higher efficiency, providing effective protection and an appropriate buffer size.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2016.1200151