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A New Approach to Determine the Critical Path in Stochastic Activity Network

机译:一种确定随机活动网络中临界路径的新方法

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The determination of the Critical Path (CP) in stochastic networks has being a hard work, it is because of path durations are random variables and the selection of the critical path in the network causes probability problems. In this study, the authors have given a new definition on the CP in stochastic network and developed a modified Label-Correcting Tracing Algorithm (LCTA) to solve it. Based on the numerical results, as compared with Monte Carlo Simulation (MCS), it is proved that the proposed approach can accurately solve the CP in stochastic networks.
机译:在随机网络中的临界路径(CP)的确定具有艰难的工作,它是因为路径持续时间是随机变量,并且网络中的关键路径的选择会导致概率问题。在这项研究中,作者对随机网络中的CP进行了新的定义,并开发了一种修改的标签校正跟踪算法(LCTA)来解决它。基于数值结果,与蒙特卡罗模拟(MCS)相比,证明所提出的方法可以准确地解决随机网络中的CP。

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