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

机译:确定随机活动网络关键路径的新方法

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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:随机网络中关键路径(CP)的确定一直是一项艰巨的工作,这是因为路径持续时间是随机变量,并且在网络中选择关键路径会导致概率问题。在这项研究中,作者对随机网络中的CP给出了新的定义,并开发了一种改进的标签校正跟踪算法(LCTA)来解决该问题。基于数值结果,与蒙特卡罗模拟(MCS)相比,证明了该方法能够准确求解随机网络中的CP。

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