Method to Reduce Lead-time of Business Process discovered

The process mining allows to automatically discover process models from event logs. Those models provide information that allow to make many types of analysis based on models, such as: compliance verification, performance analysis and bottlenecks identification on the business process. The bottlenecks identification is highly relevant for process managers to suggest improvements. Here, the improvement which is interesting is the lead-time reduction. A double hypothesis was made. The first is that lead-time reduction goes through the identification and removal of bottlenecks at the business process. The second is that the focused intervention at the critical path allows to reduce lead-time causing small changes on the current process. The process mining allows, by using model process discovery, to obtain basic statistic information of a business process, as: minimal, maximum and average duration of each activity. The technique PERT/CPM allows to calculate for each activity the weighted average of the expected execution and the critical path. This helps to identify the relevant activity focusing on the bottlenecks of a business process. The experiments show that the method allows to reduce the lead-time of a process and indicate the degree of the resource's commitment in each of the method iterations, in terms of similarity among optimized model and original model. The experiments were conducted over real word "Hospital Billing" and "Sepsis cases" databases.