Business Process Innovation As Driver For Digital Transformation In Modern Organisations
Business processes in the internet age are typically not restricted to single organizations but cross organizational borders to customers, suppliers and other organizations. The design of these business processes is a complex collaborative task, which requires special methodological support.
This lecture introduces Horus, which includes a comprehensive set of modelling methods and languages to support the whole life cycle of business processes. Horus is based on high-level Petri Nets for procedure modelling and provides additional modelling support for objects, resources, organizational structures, business goals and business rules. Simulation based concepts are provided to evaluate process models.
Besides describing the basic concepts of Horus, the lecture focuses on ongoing research work:
- Artificial intelligence currently has a strong influence on process modelling. On the one hand decisions based on machine learning approaches have to be included in process models. A pattern based approach is proposed to model different decision scenarios. On the other hand, generative AI tools can be used to support modelers in their modelling activities. Process models can be (at least partially) automatically derived from textual descriptions.
- Teaching modelling languages is a challenge for universities and other teaching organisations. A software tool is described for (semi-)automatically evaluating process models with respect to syntactic, semantic, and pragmatic correctness. The tool can be used to support teaching staff in evaluating student models from examinations. The tool can also be used to support students in improving their modelling capabilities by providing hints to errors in their models.
- Finally, non-standard processes in the Internet of Things and in the context of smart mobility are considered. Processes in this area are typically less structured than traditional business processes. Processes interact with their environment via sensors and actors and collect data for (partially) autonomous decisions. Micro processes, which consist of only few activities, are flexibly combined to each other and have to be connected to other running business processes in the environment.
Lecture at NEMO2024
Date/Time: Wednesday, July 24, 2024 at 10:00