相关实验视频
Updated: Jun 5, 2025

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A Rapid Method for Modeling a Variable Cycle Engine
Published on: August 13, 2019
7.5K
自动生成过程模拟场景从声明性控制流变化
Daniel Barón-Espitia1, Marlon Dumas2, Oscar González-Rojas1
1Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
PeerJ. Computer science
|December 13, 2024
概括
本研究引入了一种新的业务流程模拟方法,简化了"如果"情景分析. 它使用生成型深度学习自动创建精确的模拟模型,具有指定的控制流变化,克服复杂性问题.
科学领域:
- 业务流程管理 业务流程管理
- 模拟建模模的模拟模型.
- 人工智能的人工智能
背景情况:
- 业务流程模拟估计了变化对时间和成本的影响.
- 数据驱动模拟 (DDS) 从事件日志中发现过程模型,但可以创建复杂的模型.
- 模型的复杂性阻碍了对"假如"情景的手动调整,特别是控制流变化.
研究的目的:
- 在业务流程模拟中提出声明式规范和自动生成"假如"场景的方法.
- 为了解决DDS方法在创建可调节的模拟模型时的复杂性限制.
主要方法:
- 使用生成型深度学习模型生成事件日志痕迹,反映用户指定的控制流变化.
- 从这些痕迹中生成一个随机过程模型.
- 构建基于随机过程模型的"what-if"分析的修改模拟模型.
主要成果:
- 拟议的方法自动生成"假如"模拟模型,使用用户定义的控制流修改.
- 生成的模型保持准确度与手动调整的模型相提并论.
- 成功克服了用于场景分析的DDS中的复杂性障碍.
结论:
- 该方法通过简化复杂的DDS模型的修改来实现高效和准确的"假如"分析.
- 声明式控制流规范与生成式深度学习相结合,为业务流程模拟提供了强大的解决方案.
- 便于更容易地探索过程变化及其潜在影响.
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