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首页> 外文期刊>Journal of Intelligent Manufacturing >Computational methods for determining the latest starting times and floats of tasks in interval-valued activity networks
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Computational methods for determining the latest starting times and floats of tasks in interval-valued activity networks

机译:确定间隔值活动网络中任务的最新开始时间和浮动的计算方法

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摘要

In project management, three quantities are often used by project managers: the earliest starting date, the latest starting date and the float of tasks. These quantities are computed by the Program Evaluation and Review Techniques/Critical Path Method (PERT/CPM) algorithm. When task durations are ill known, as is often the case at the beginning of a project, they can be modeled by means of intervals, representing the possible values of these task durations. With such a representation, the earliest starting dates, the latest starting dates and the floats are also intervals. The purpose of this paper is to give efficient algorithms for their computation. After recalling the classical PERT/CPM problem, we present several properties of the concerned quantities in the interval-valued case, showing that the standard criticality analysis collapses. We propose an efficient algorithm based on path enumeration to compute optimal intervals for latest starting times and floats in the general case, and a simpler polynomial algorithm in the case of series-parallel activity networks.
机译:在项目管理中,项目经理经常使用三个数量:最早的开始日期,最晚的开始日期和任务的浮动时间。这些数量是通过“程序评估和审查技术/关键路径方法”(PERT / CPM)算法计算得出的。当任务工期未知时(通常在项目开始时就是这样),可以通过间隔对它们进行建模,以表示这些任务工时的可能值。通过这样的表示,最早的开始日期,最新的开始日期和浮动也是间隔。本文的目的是为它们的计算提供有效的算法。回顾经典的PERT / CPM问题之后,我们介绍了区间值情况下有关数量的几个属性,表明标准的临界分析崩溃了。我们提出了一种基于路径枚举的有效算法,以计算通常情况下最晚开始时间和浮动时间的最佳间隔,而在串并联活动网络的情况下,提出了一种更简单的多项式算法。

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