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基于质量传输和重工网络重建的多技能项目调度优化.
Junlong Peng1, Zhuo Su2, Xiao Liu3
1Changsha University of Science and Technology, Changsha, China.
Scientific reports
|April 19, 2025
概括
本研究引入了一种新的项目调度模型,通过考虑人员技能和动态重建来减少重复工作. 改进的优化算法提高了复杂项目的解决方案准确性和效率.
科学领域:
- 项目管理 项目管理
- 运营研究 运营研究
- 人工智能的人工智能
背景情况:
- 质量缺陷显著增加了项目的重新工作.
- 人员的技能水平对于确定活动质量至关重要.
- 现有的调度模型往往不能充分解决重复工作的动态.
研究的目的:
- 为多技能资源受限项目调度问题 (MSRCPSP) 开发一个优化的调度模型.
- 将高质量的传输和动态重工子网重建纳入项目调度.
- 为了减轻重工风险并优化项目持续时间.
主要方法:
- 在MSRCPSP框架内制定了一个新的调度模型.
- 整合了优质传输机制和动态重工子网重建.
- 开发了一种改进的加塞尔优化算法 (GOAIP),具有动态运算符,杂交交叉和高斯基突变.
主要成果:
- 与主流优化技术相比,拟议的模型和GOAIP表现出卓越的性能.
- 观察到更高的解决方案精度和更好的融合效率.
- 该方法在各种案例尺度中显示出强大的适用性和实际意义.
结论:
- 综合调度模型有效地解决了MSRCPSP中的重工风险.
- 该GOAIP提供了一个有效的方法来解决复杂的调度问题与质量考虑.
- 这项研究为优化项目持续时间和质量提供了有价值的工具.
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