Modeling of an agent system to support the management of cooperating and rival resources for business workflows

Modeling and analysis of business workflows may be strategic on behalf of the optimal execution. This paper proposes an innovative model-based approach, which can be used to resource scheduling of business workflows. To this we defined such functions that help the operation of processes, resource scheduling can be described formally during the modeling. The system uses all the information during the scheduling, which may be recorded in a log file in connection with the process execution. We can extract useful information concerning allocation of resources by analysis of the historical data, which are used to assign the resources to the implemented tasks. In the system the cooperation and contention of the resources as agents will play important role. The scheduling can be tested in an agent simulation environment. By the aid of this approach we can give decision proposal to the operator in real time to promote more optimal realization of the workflow.