# Development and Verification of a Simulation Model of an Automated Assembly Line
## 1 Introduction  
The simulation model reproduces the real object or system while maintaining the correct functioning of the real object [1]. The dynamic technological development in the field of computer science in recent years has resulted in the fact that many software programs dedicated to creating simulations in various fields of engineering are now available on the market. Many of them have found applications in production engineering. Simulations provide the opportunity to analyze digital models that can provide data to various departments of the enterprise. Simulation models are often used to design production systems, including extended lines or single cells [2]. With their help, you can also analyze existing production processes and improve them. It is possible to perform many iterations, trials, and tests of different variants as well as to compare the results obtained to select the most appropriate and effective production strategy at a given moment [3]. Simulation models of production processes are also part of digital manufacturing and digital factories [4].  
The development of simulation models at the stage of designing a new product and the simulation of the functioning of the production line or even the entire production system gives many benefits [2]. The tests, carried out using a simulation model, are carried out digitally. This makes it possible to avoid interference with the real model [5]. In simulation programs, it is possible to control time, so you can speed up and slow down the simulation. This allows for significant time savings during experiments. Simulation allows analyzing errors and facilitates work on their elimination [6]. Thanks to this, it is possible to reduce production costs, shorten the production time, and improve the quality of the product.  
The concept of Industry 4.0, which aims to digitize the production process with minimal human intervention, introduces concepts such as virtual and augmented reality,hybrid simulation, or digital twin [7]. Currently, artificial intelligence or virtual reality is a typical supporting technique used in simulations [8]. In recent years, a technology known as \"digital twin\" has emerged, which combines the data-driven real-time monitoring of real objects with scenario simulation. The purpose of using a digital twin is to improve the functionality and increase the efficiency of processes [9]. The digital twin is not only limited to focusing on one entity but can also be applied to entire systems, thus creating a broad approach to the digitized factories of the future [10; 11; 12].  
The purpose of this work was to develop and verify a simulation model of an automated assembly line, which is part of the Smart Factory laboratory of the Poznan University of Technology. The development of such a simulation model was to allow for the analysis of various production scenarios, which are the basis for the work carried out in the laboratory. Testing various scenarios in a short time was completed to facilitate the selection of the best variant of the production scenario, given the criteria. The simulation model can be used both in the didactic area (during laboratory classes) and in the implementation of various research works. Selected production scenarios will be checked in the simulation model and improvements can be made to obtain, for example, the shortest possible assembly times for a given product.