Abstract
Current BPM approaches empower the process modeling by formalism, shorten the transactional latency by automation, and increase business insights by process improvement methodology. Few of them intend to address the issues of dynamic process optimization in terms of real time in-process decision support and dynamic process reconfiguration. The goal of this research is to explore and build the foundation of dynamic business process optimization with the ultimate goal of developing an intelligent system that constantly manages and supervises each process instance (in a controlled way), for example, by having influence in routing and task assignment decisions in order to maximize certain business objectives. There are three main areas in our framework coined as Cogito: process representation, process analysis and process optimization. We will present the main concepts and how they can be applied to real world scenarios.
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