Realization of an Optimal Production Plan in a Smart Factory with On-line Simulation

摘要

The successful improvement of the competitiveness of companies depends largely on the efficiency of assembly and handling systems and processes. Their efficiency can be increased by various optimization methods, especially with regard to cost reduction, shortening of throughput times, delivery times, increased utilization of plant capacity, etc. One of the most effective methods for optimizing such systems is optimization with online simulation. In this paper we present an innovative expert system and an innovative methodology of online simulation, where we have extended the conventional offline simulation with digital twin and digital agents. This has enabled the continuous control and ongoing optimization of the real production system and process. We have combined the digital AHSP with the real system via the cloud, thus creating all the necessary framework conditions for the online simulation and thus developing an expert system. The expert system is in constant connection with the real system and constantly monitors and optimizes it. The methodology for intelligent algorithms, digital agents and digital twins provides a framework for their practical application in a real production environment.