INTRODUCTIONEvery company engaged in manufacturing continually attempts to make their production more effective. One of the ways to streamline production is to minimize transport costs and the reduction of excess time in inter-operational transport. ANALYSIS OF PRODUCTION SYSTEM IN TERMS OF PRODUCTION DISPOSITIONTo effectively organize machine workplaces, there are several methods of deployment. Their selection is often a complicated and time consuming process. If there are a large number of deployed elements, we may not even succeed in achieving the desired results. Therefore, there is an effort to develop computer systems that would apply the methods in computer code and thereby replace humans in solving such problems. In properly applied computer technology, we can achieve precise results. These issues are part of the structure of the disposition of production (Fig. 1). [2,3] Figure 1: Added elements to the structure of the production disposition 9
We will discuss the problem of path finding in 3D space with an obstacle. The thesis deals with the problem of searching for the shortest path between the individual points in the space so that this path does not come into collision with an obstacle. A system has been designed to construct paths in cross-sectional planes of the given object representing an obstacle, based on its surface contour. The system solves the issue of loading STL format, creating cross-sectional planes of the object, intersection between geometric shapes, and generation of lines around the contour of the object in 2D. An experiment was performed, in which we have been moving around a model of a jet aircraft and its results are described in the conclusion.
The emphasis on the autonomy of all production facilities is increasing. It is normal that the company's goal is to constantly increase its profits and thanks to automation to win the competition. In order to verify real solutions, simulation models could often be created before a real project. This saves time and investment in development. Deployment of a robotic mouse (micromouse) in production or other processes is becoming an increasingly common step. This article describes one of the ways to create a simulation model of a micromouse that will move around the labyrinth. The task of the robot is to reach the target position in the uncharted labyrinth. The goal is for the robot to avoids all obstacles on its way from the starting position to the end. The current program needs human intervention in control. However, we can say that this environment serves as a “cornerstone” for the further development of an autonomous control system. So far, we are considering the simple complexity of the labyrinth.
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