基于矩阵的项目数据集解析器
Zsolt T Kosztyán1, Gergely L Novák2
1Department of Quantitative Methods, University of Pannonia, Egyetem str. 10, Veszprém, H-8200, Hungary.
MethodsX
|August 19, 2024
概括
本研究引入了一种新的解析方法,以统一多样化的项目数据集. 这使得可以对各种项目类型的调度和资源分配算法进行全面的测试和比较.
科学领域:
- 项目管理 项目管理
- 数据科学数据科学数据科学
- 算法分析 算法分析
背景情况:
- 现有的项目数据集是分散的,模拟/真实,单个/多个项目和单个/多模式属性的异质文件结构.
- 这种碎片化将算法测试限制在单个数据集上,阻碍了对调度和资源分配方法的可靠评估.
- 多样化的内部项目结构使得确保算法的通用性成为一个挑战.
研究的目的:
- 为各种项目数据集开发统一的解析方法.
- 为了使日程安排和资源分配算法的全面测试和比较.
- 支持在敏捷,混合和极端项目管理中建模结构灵活性.
主要方法:
- 一种新的解析方法,旨在读取多个项目类型 (模拟,真实,个人,多项目,单/多模式属性).
- 纳入活动优先级和灵活的依赖关系,以建模结构适应性.
- 开发一个框架,建立一个大型的,综合的项目数据库.
主要成果:
- 解析方法成功地整合了多样化的项目数据源.
- 研究人员现在可以利用统一的数据库在更广泛的项目结构中测试算法.
- 该方法促进了对算法的分析,考虑了活动优先级和依赖性灵活性.
结论:
- 拟议的解析方法提高了测试和比较调度和资源分配算法的能力.
- 它为开发更强大,更可通用的项目管理算法提供了基础.
- 这种方法通过适应结构灵活性来支持先进的项目管理方法.
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