An MIP-based heuristic for scheduling projects with work-content constraints

Adrian Zimmermann
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引用次数: 3

Abstract

We consider the project scheduling problem where each project activity has a prescribed work content that must be completed by a so-called work-content resource, and the activities' resource usage may be varied over time. In each period, the amount of resources allocated to an activity must lie within a prescribed range and cannot be changed for a minimum number of consecutive periods. The amount allocated determines an activity's requirements for further resources. The activities must be scheduled such that the project makespan is minimized. For this problem, we devise an MIP-based heuristic that schedules the activities sequentially. To determine more efficient resource allocations among multiple activities, subsets of activities are rescheduled periodically. Our computational results for a standard test set from the literature indicate that the proposed approach provides very good feasible solutions for small-sized instances, and that it outperforms the state-of-the-art methods for large-sized instances.
一种基于mip的工作内容约束项目调度启发式算法
我们考虑项目调度问题,其中每个项目活动都有规定的工作内容,必须由所谓的工作内容资源完成,并且活动的资源使用可能随着时间的推移而变化。在每个期间,分配给一项活动的资源量必须在规定的范围内,并且不能在连续的最低数量的期间内更改。分配的数量决定了活动对进一步资源的需求。这些活动的安排必须使项目的最大完工时间最小化。针对这个问题,我们设计了一种基于mip的启发式方法来顺序地调度活动。为了确定多个活动之间更有效的资源分配,活动子集定期重新调度。我们对来自文献的标准测试集的计算结果表明,所提出的方法为小型实例提供了非常好的可行解决方案,并且它优于大型实例的最先进方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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