**5. Conclusions**

Manufacturing systems of the factories of the future will have new features that will enable them to respond quickly and efficiently to frequently changing customer demands. These manufacturing systems will be designed as modular, reconfigurable and intelligent holonic systems, capable of rapidly changing their functions and capacities based on auto diagnostics. Designing and analysing the behaviour of future manufacturing systems will require heterogeneous simulation models and new simulation tools, allowing for rapid, comprehensive analysis and interpretation of the results obtained. The future simulation environment will naturally reflect the requirements of the future factory. In its creation, all modelling and statistical support tools, which are now commonly used in the simulation, will be used. However, this will fundamentally change the way the simulation is implemented. Three main approaches to simulations (event orientations, process orientation and activity orientation) have traditionally been used, while new simulation algorithms will be built on distributed, autonomous principles. In view of the requirement for reconfigurability of manufacturing systems, new simulation systems will have to offer entirely new functionalities and thematic templates. By engaging the simulation, it is possible to at least partially estimate the results of the interactions at emergence and to control the manufacturing system. The purpose of the article is to outline the use of modelling and simulation in control of processes in a factory of the future. An application of metamodelling inside a manufacturing holon in laboratory ZIMS was presented as an example. The article in the periphery also describes the developed manufacturing concepts that will be used in the factories of the future, which will meet the demands of the paradigm of mass customisation and personalisation.

**Author Contributions:** All authors contributed to writing the paper, documented the literature review, analysed the data and wrote the paper. All authors were involved in the finalisation of the submitted manuscript. All authors have read and agreed to the published version of the manuscript.

**Funding:** Slovak Research and Development Agency under contract no. APVV-18-0522.

**Acknowledgments:** This work was supported by the Slovak Research and Development Agency under contract no. APVV-18-0522.

**Conflicts of Interest:** The authors declare no conflict of interest.

### **References**


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