基于协作模式的工作流最优员工分配方法

一个业务流程的执行一般需要由多个员工共同协作完成.当员工完成流程中某项任务的能力已知时，员工之间的协作能力对于整个流程的执行性能就会有决定性的影响.通常，流程中执行活动的员工之间的协作能力越高，整个流程实例的运行效率就会越高.文中提出了一种基于协作模式的最优员工分配方法.该方法首先通过分析历史流程日志计算不同员工在执行不同活动时彼此之间的协作能力，然后从历史日志中挖掘出协作较好的员工分配方式（即，协作水平较高的协作模式），再使用编码的方式将这些模式与待分配流程快速匹配选出可使流程协作水平达到最优的员工分配方式.实验说明该方法能够快速有效地实现流程协作最优的员工分配.

Approach to Optimal Staff Assignment in Workflows Based on Collaboration Patterns

The execution of business process usually requires the collaboration of many staffs. When the capability of one certain staff is determined, the collaboration becomes the dominating influence to the performance of process instances. In general, the better collaboration of the actors who perform collaborative tasks, the higher performance the workflow instance would achieve. In this paper, we propose an approach to optimize staff assignment based on the collaboration patterns with high performance. Firstly, it computes the compatibility of actors when performing activities based on the historical logs. Afterwards, it mines collaboration patterns with high compatibility from process logs and matches them with the process for staff assignment by means of encoding. The experimental results demonstrate the approach can assign staffs in a workflow for maximum collaboration efficiently.