根据规约粒度的不同，分别对基于交互学习的柔性工作流模型进行原子级和组件级规约。
On the basis of reduction granularity, it applies atom level reduction and module level reduction to flexible workflow model based on interaction learning.
该文提出一种基于可扩展组织的柔性过程建模方法，构建了一种工作流模型。
This paper proposes a new flexible process modeling method based on extensible organization, and constructs a workflow model.
在分析了企业动态联盟对工作流柔性的需求基础上，提出了基于活动分解的工作流模型。
On the basis of analyzing the requirement for flexible workflow in dynamic-virtual enterprise, a workflow model for based activity decomposition was proposed.
柔性工作流通过工作流模型的定义、工作流机的运行等，使得工作流不需重新定义就能够动态适应企业业务流程的变化。
Flexible workflow not need to be redefined workflow and can dynamically adapt enterprise operation flow's change by definition of workflow model and execution of workflow engine.
本文建模不仅增强了工作流模型的全面性，还提高了工作流模型的柔性，更加适合企业流程再造。
Based on this modeling method, this paper analyzes the method to optimize the flow of work, including dynamic distribution of role, process optimization, and process reengineering.
本文建模不仅增强了工作流模型的全面性，还提高了工作流模型的柔性，更加适合企业流程再造。
Based on this modeling method, this paper analyzes the method to optimize the flow of work, including dynamic distribution of role, process optimization, and process reengineering.
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