Critical chain project buffer sizing based on resource constraints. Issue 3 (1st February 2017)

• Record Type: Journal Article
• Authors: Zhang, Junguang; Song, Xiwei; Díaz, Estrella
• Is Part Of: International journal of production research. Volume 55:Issue 3(2017)
• Page Start: 671
• Page End: 683
• Publication Date: 2017-02-01
• Subjects: critical chain -- buffer sizing -- average resource constraints -- resource constraints peak -- fuzzy number; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2016.1200151
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : 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.