Flexible Prozessautomatisierung durch Integration der Prozess-Engine Camunda in eine generisch konfigurierbare Stammdatenapplikation

Abstract

In complex administrative processes, the variety of possible process flows is often unpredictable or complete modeling is not economical. Knowledge workers need ways to react to deviations from the defined process flow. Therefore, in addition to the workflow management system, separate applications are often created for master data management as well as for the execution of the non-modeled process flows. This thesis investigates whether flexibility for knowledge workers can be increased by integrating a process engine (product Camunda) into a generically configurable NoSQL-Neo4J-based master data application. Thereby, the process engine is reduced to the pure control of the workflow. It delegates the processing of the data accumulated in the process as a user task to the master data application and thereby restricts the scope of action of the knowledge worker through rights. The integration offers knowledge workers the support of BPMN-defined workflows on the one hand and the flexibility of a manually operated master data application on the other. For example, a knowledge worker can manually execute a change process that has not been modeled.