A Closed-loop Workflow Management Technique Based on Process Mining

A closed-loop workflow management system (C-WfMS) with process mining and result feedback technique was proposed to improve the efficiency of integrated manufacturing information system. The structure of organizational mining module (OME), the framework, and working method of C-WfMS were presented. The performer-to-performer relation (PPR) matrix and the activity-by-performer relation (APR) matrix were extracted from the workflow log. The PPR matrix is turned into social network matrix and put into SNA (Social Network Analysis) tools for further analysis; an algorithm for mining the APR matrix was presented, with which was the extraction of the weight matrix of APR. The implement of weight matrix of APR was also proposed so that the mining results could feedback to the WfMS organization dataset to make decision support for the assignments of tasks. Finally, a numerical example was presented.