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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.

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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.