This paper deals with a design and a shape optimization of a tool that combines punching of a tarpaulin with the tarpaulin grommet pressing in one operation. The tarpaulin grommet 0.5 mm thick with a diameter of 10 mm is made of DX51D+Z275MAC steel. The designed tool and its main shape dimensions are verified by using a numerical simulation in an ANSYS Workbench software and subsequently also by a practical experiment, i.e. verification and debugging functionality in cooperation with H + D kovo company.
The main topic of the submitted paper is intelligent logistics and its integration into production systems. In the beginning, the problem that lies in the inadequate knowledge of the internal state has been defined. The new society-wide trends that will originate in a few years are also outlined. Those trends will affect factories and their logistics systems on a large scale. Therefore, it is necessary to have a strategy that takes these new trends into consideration. In this manuscript, is described a strategy for intelligent production systems, as well as technologies for different types of production-logistic strategies. Many of these technologies can be applied together with the Digital Twin. The Digital Twin is a new concept in the field of designing production and logistics systems in the factory. Finally, we provide a description of the implementation of the Digital Twin into the production and logistics system.
Nowadays, many factories face changes on the global market and manufacturing is unpredictable. This fact creates a demand for developing new concepts of the factory which can represent a solution to these changes. This study presents a way for designing these new factory concepts, particularly a concept of the reconfigurable manufacturing lines. The methodology in this study uses characteristics of reconfigurable manufacturing systems for developing an algorithm for designing the basic factory layout. The methodology also combines classical math operations for designing the production layout with such approaches as simulation, cluster analysis, and LCS algorithm. This combination method with LCS algorithm and an entirely different approach to the design of the manufacturing line, has not yet been used. The accuracy of this methodology is then verified through the results of the complete algorithm containing these features. The main purpose of this study was to find new approaches to designing the reconfigurable factory layout. This article is presenting new ways that differ from the classical design method. The article suggests the new way is possible and the new systems also need new ways for designing and planning.
The article deals with the use of dynamic simulation tools for planning and optimising changes in the supply process carried out by an automated guided vehicle (AGV). The integration of new products and the overall increase of the production capacity of the assembly line in the automotive company are foreseen to overexpose some transport node. For problem-solving in practice was applied statisticalexperimental research method. The article in its core deals with the designing and creating of a simulation model of AGV-transport processes using dynamic simulation, which is designed to check the patency of routes, the feasibility of processes and detect bottlenecks. Three proposals to reduce logistics downtime were verified. Based on the results of the simulation, one was selected to be applied. After applying the solution, the production line tact increased by 35 %. Based on the results of the experiments conducted on the current situation simulation model, it is important to propose improvements to the AGV's management and transportation systems. The output is a design with virtual verification of a new supply process without bottlenecks.
The long-term sustainability of the enterprise requires constant attention to the continuous improvement of business processes and systems so that the enterprise is still competitive in a dynamic and turbulent market environment. Improvement of processes must lead to the ability of the enterprise to increase production performance, the quality of provided services on a constantly increasing level of productivity and decreasing level of cost. One of the most important potentials for sustainability competitiveness of an enterprise is the continuous restructuring of production and logistics systems to continuously optimize material flows in the enterprise in terms of the changing requirements of customers and the behavior of enterprise system surroundings. Increasing pressure has been applied to projecting manufacturing and logistics systems due to labor intensity, time consumption, and costs for the whole technological projecting process. Moreover, it is also due to quality growth, complexity, and information ability of outputs generated from this process. One option is the use of evolution algorithms for space solution optimization for manufacturing and logistics systems. This method has higher quality results compared to classical heuristic methods. The advantage is the ability to leave specific local extremes. Classical heuristics are unable to do so. Genetic algorithms belong to this group. This article presents a unique genetic algorithm layout planner (GALP) that uses a genetic algorithm to optimize the spatial arrangement. In the first part of this article, there is a description of a framework of the current state of layout planning and genetic algorithms used in manufacturing and logistics system design, methods for layout design, and basic characteristics of genetic algorithms. The second part of the article introduces its own GALP algorithm. It is a structure which is integrated into the design process of manufacturing systems. The core of the article are parameters setting and experimental verification of the proposed algorithm. The final part of the article is a discussion about the results of the GALP application.
The use of modern information and communication technologies plays a key role in the current global competitive environment of long-term manufacturing company sustainability. Based on the requirements of Slovak industrial companies (both domestic and foreign companies), there is a need to implement these technologies into the university teaching process. Therefore, this article describes virtual and augmented reality applications into the teaching process of Digital Factory module at the Industrial Engineering Department of the University of Zilina. The main aim of this study was to test and document how helpful immersive technologies could be in a teaching process. There were a group of students who took part in this study whose job was to assemble a specific assembly construction, first without the help of virtual technologies and second with the help of augmented and virtual reality. The results were collected through operation images and chronometry, these were then analyzed the conclusions stated in the article were obtained. In the conclusion, the final part of the article describes a general evaluation of virtual training use in the industrial practice of long-term industrial company sustainability.
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