Application of simulation methods and queuing systems to business processes for improved quality and efficiency

Abstract

Current methods of analysis and dynamic simulation of business processes frequently face the objects that contain hundreds and even thousands of elements. Industrial and business processes can be defined as multi-agent resource conversion processes. Simulation of such objects constantly requires more and more computational resources and processing time. Due to this an important problem emerges - a problem of detection and application of new approaches to analysis and improvement of multiagent models with business process re-engineering based on convolution/de-convolution procedures.