Abstract The majority of research has concentrated on the creation of robust schedules to manage the uncertainties and disruptions that called pro-active scheduling. Different from previous research on pro-active scheduling, this paper investigates robustness enhancement of an existing schedule using inserting resource buffers instead of creating robust schedule. The present study aims to present an algorithm for robustness enhancement of schedules through resource buffer insertion during the planning horizon in which the availability of resources varies with time and the uncertainty is in the required renewable resources for activities. Since surrogate measures can be used to measure schedule robustness, 20 resources and resource/time-oriented surrogate measures are proposed and then, using computational results, their performance is evaluated. The results show that resource/time-oriented measures have relatively better performance than other measures. Finally, an iterative algorithm for robustness enhancement based on using the best surrogate measure is proposed and required investment is estimated. According to the estimation process, it will be shown that the slope of robustness enhancement rate towards the robustness investment is always descending.

中文翻译：

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一种解决主动资源投资问题的新资源缓冲区插入方法

摘要 大多数研究集中在创建稳健的调度来管理称为主动调度的不确定性和中断。与以往关于主动调度的研究不同，本文研究了使用插入资源缓冲区而不是创建鲁棒调度来增强现有调度的鲁棒性。本研究旨在提出一种算法，通过在规划范围内插入资源缓冲区来增强计划的稳健性，其中资源的可用性随时间变化，并且不确定性在于活动所需的可再生资源。由于替代措施可用于测量进度稳健性，因此提出了 20 个资源和面向资源/时间的替代措施，然后使用计算结果评估它们的性能。结果表明，面向资源/时间的度量比其他度量具有相对更好的性能。最后，提出了一种基于使用最佳替代度量的鲁棒性增强迭代算法，并估计了所需的投资。根据估计过程，将表明鲁棒性增强率对鲁棒性投资的斜率总是下降。