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Project Schedule Management Using a Fuzzy Activity Network Considering Resource and Environmental Factors

机译：考虑资源和环境因素的模糊活动网络的项目进度管理

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摘要

A project is always performed in an environment influenced by resource and environment factors such as equipment, weather, labor skill, materials delivery, management quality and so on. Since these factors affect various activities on the same path in an activity network, activity durations tend to vary together. The variation of these durations affect the path duration and/or the project duration. This paper introduces a new method that incorporates these factors in a fuzzy activity network and provides factor sensitivity information to support efficient project schedule management. This method uses a triangular fuzzy number for the activity duration, and uses the spread of the triangular fuzzy number for the variation in the estimation of the activity duration. Based on the qualitative estimations of the sensitivity of each activity to each factor, the variation in activity duration is distributed to several factor variations (f-variation). Each f-variation is then broken down into more variations based on factor conditions (c-variations), with each c-variation corresponding to a factor condition such as better-than-expected, expected, or worse-than-expected. The effects of resource and environment factors are captured using c-variations under the same factor conditions to compute path and project durations. The proposed method makes it possible to improve the estimation of the path and project durations. The sensitivity of paths to factors can be searched and effectively used to improve project schedule management. Finally, an example is demonstrated, and the results are compared with other methods.
机译：项目始终在受资源和环境因素影响的环境中执行，例如设备，天气，劳工技能，材料交付，管理质量等。由于这些因素会影响活动网络中同一路径上的各种活动，因此活动持续时间往往会一起变化。这些持续时间的变化会影响路径持续时间和/或项目持续时间。本文介绍了一种将这些因素纳入模糊活动网络并提供因素敏感性信息以支持有效的项目进度管理的新方法。该方法将三角模糊数用于活动持续时间，并将三角模糊数的扩展用于活动持续时间的估计中的变化。基于每种活动对每种因素的敏感性的定性估计，活动持续时间的变化被分配给几个因素变化（f变量）。然后，基于因子条件（c变量）将每个f变量分解为更多的变量，每个c变量对应于因子条件（例如，好于预期，预期或差于预期）。资源和环境因素的影响是在相同因素条件下使用c变量捕获的，以计算路径和项目工期。所提出的方法使得可以改善路径和项目持续时间的估计。可以搜索路径对因素的敏感性，并有效地用于改善项目进度管理。最后，举例说明，并将结果与​​其他方法进行比较。

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