基于优先规则的模糊资源受限多项目调度研究

发布时间：2019-05-06 12:25

【摘要】：随着项目的规模和复杂程度地不断增加,如何能够在满足项目资源需求的情况下尽可能实现多项目的整体目标,已经成为了项目管理者普遍关心的问题。因此,如何对不同的资源进行更加合理地分配,对多个项目进行更加有效的调度,在多项目管理中具有重要的研究意义。多项目在实际的进行过程中很难保证按照最初的调度计划来进行,因此本文对传统的资源受限多项目调度问题模型进行了改进,改进后的模糊资源受限多项目调度问题模型使用模糊数表示各个活动在单位时间内的资源需求量,从而保证模型能够更加合理的反映出项目的实际情况。论文首先对资源受限多项目调度问题的国内外相关研究进行了分析,总结了资源受限多项目调度问题的特点和在实际运用过程中所存在的问题。以模糊理论作为理论基础,将资源受限多项目调度模型改进为模糊资源受限多项目调度问题模型。同时,文章对优先规则进行了模糊化处理,提出使用基于模糊优先规则的启发式算法,并使用该算法对改进后的模型进行调度计算。最后,选取多种优先规则对实例进行调度,通过对比及分析验证了模型改进的有效性。改进后的模糊资源受限多项目调度模型可以在一定范围内对模糊数表示的多项目资源参数进行选择,及时调整下一阶段关键资源的配置,减少活动之间的资源冲突,最终达到优化模型整体目标的目的。
[Abstract]:With the increasing of the scale and complexity of the project, how to achieve the overall goal of multi-project as much as possible under the circumstances of meeting the requirements of the project resources has become a common concern of the project managers. Therefore, how to allocate different resources more reasonably and schedule multiple projects more effectively is of great significance in multi-project management. It is difficult to ensure that the multi-project is carried out according to the original scheduling plan in the actual process, so the traditional resource-constrained multi-project scheduling model is improved in this paper. The improved fuzzy resource-constrained multi-project scheduling problem model uses fuzzy number to represent the resource demand of each activity in a unit of time, so as to ensure that the model can reflect the actual situation of the project more reasonably. Firstly, the related research on resource-constrained multi-project scheduling problem at home and abroad is analyzed, and the characteristics of resource-constrained multi-project scheduling problem and the existing problems in the practical application are summarized. Based on the fuzzy theory, the resource-constrained multi-project scheduling model is improved to the fuzzy resource-constrained multi-project scheduling problem model. At the same time, the paper fuzzifies the priority rules, and proposes a heuristic algorithm based on fuzzy priority rules, which is used to calculate the scheduling of the improved model. Finally, a variety of priority rules are selected to schedule an example, and the effectiveness of the improved model is verified by comparison and analysis. The improved fuzzy resource constrained multi-project scheduling model can select the multi-project resource parameters expressed by fuzzy numbers in a certain range, adjust the allocation of key resources in the next stage in time, and reduce the resource conflict between activities. Finally, the goal of optimizing the overall goal of the model is achieved.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F062.4;F224

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