尺寸
可靠性(半导体)
可靠性工程
计算机科学
概率逻辑
调度(生产过程)
资源(消歧)
数学优化
工程类
数学
艺术
视觉艺术
人工智能
功率(物理)
计算机网络
物理
量子力学
作者
Seyed Ashkan Zarghami,Indra Gunawan,Graciela Corral de Zubielqui,Bassam Baroudi
标识
DOI:10.1080/00207543.2019.1667041
摘要
The methods presently used for buffer sizing of Critical Chain Project Management (CCPM) have lagged far behind capturing the stochastic nature of resource acquisition in real-world projects. The work described herein represents a new step towards the sizing of buffers for CCPM by developing a probabilistic measure obtained through a reliability analysis of project resources. The proposed method treats the resource availability as a random variable in project scheduling, meaning that each resource has a distribution of possible values of availability. In this method, buffer size is determined by assigning a scaling factor to the standard deviation of a chain. This scaling factor is the function of the reliability of available resources assigned to the chain activities, taking into account the likelihood of timely completion of the chain given the reliability of each individual resource. Sensitivity analysis, as well as the comparison of the proposed method with the conventional buffer sizing methods, reveal the effectiveness of the new method.
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