| Περίληψη: | In a factory, work scheduling is a demanding and time-consuming process. More specifically in the food industry, where the raw material is a seasonal product, the need for the smooth operation of production units is critical. Production engineers are responsible for the proper and continuous operation of the factory, the machines and the necessary personnel that will be used during the production period. In the case that the factory beyond discrete parts also has continuous parts, the planning of the work becomes particularly difficult and approximate methods are used. Now, this problem has been solved to a large extent thanks to special production system simulation packages. Engineers have the ability to control the production process, make changes - modifications with the aim of improving the productivity of the factory. In this thesis, the detailed recording of the production process of a factory producing tomato products is presented and analyzed. Therefore, data was collected from all the individual departments of the factory, in cooperation with the production engineers of the factory. This data was digitally processed and entered into the simulation software in order to design the digital simulation models, run operational scenarios and propose possible solutions to improve the production processes. In addition, simulation models will facilitate production engineers to proceed with the full digitalization of the factory under the framework of the 4th Industrial Revolution. Therefore, the developed simulation models will be properly parameterized to act as models for monitoring, predicting and improving production lines.
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