International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The paper is focused on the analysis of tracked vehicle propulsion mechanism during a movement of the vehicle. Propulsion mechanisms of tracked vehicles are highly loaded by dynamics stress. This stress arises by vehicle movement on a terrain and by vibration of tracks. Analysis of this stress is essential in the process of development or optimization (modernization) of the vehicle. Simulating technology was chosen for analysis of selected vehicle, because analysis of propulsion mechanism stress of tracked vehicle is complex process. Utilization of simulating technologies enables extensive analysis of vehicle behaviour including analysis of stress of main parts of the vehicle.

Direct Metal Laser Sintering1 (DMLS) is a revolutionary technology that allows a production of fully functional metal parts directly from a 3D CAD data, eliminating the investment to production tools and technologies which brings considerable cost and time savings. Metal parts made by DMLS technology are fully comparable with casted or machined parts. A range of application of DMLS technologies is very wide – from prototypes, through short-run production to final products. Advantages of DMLS technology are arising along with complexity of parts – more complex geometry of parts (in terms of shape and occurrence of the detail) make DMLS technology even more economically effective.

This paper deals with the safety, modeling, simulation and the possibility of automation of a production warehouse as a key component on CIM systems. The manufacturing has been changed significantly by using information systems. Using electronic data processing in the production systems and beyond, automatic protocols are derived and flow both on confirmation of the order and in economic aspect of the raw material. Also, information systems are used in planning and controlling the production, including machines, equipments and entire production process, as well as a lot more opportunities have been provided for the operator. But, security of the production systems is one of the concerns which are elaborated in this paper. Production systems play an important role in industrial and economic development of a country. Recent years, there was a tremendous change in the technology of production systems. Such changes happened as a result of advances in the field of hardware and software technology, which are directly or indirectly related to modeling and simulation of production systems. In this paper, we will investigate the possibility of automation of a production warehouse as one of the key components of CIM technology. Simulations are new and very attractive area. Nowadays they have become indispensable engineering tools for solving engineering tasks, leaving behind the traditional analytical methods. They include design, analytical and optimisation tasks of complex production systems, computer architecture, biological and military systems etc. This is made possible, because of failure to gain good results by the analytical methods, which is the case also for simple systems too. In the group of traditional methods are distinguished: arrays method (querying theory), different heuristic mathematical methods etc.This paper also deals with modelling and simulation of flexible system for electrical machine assembling by ARENA software.

Nowadays, manufacturing systems are much larger with an increasing number of production lines and units. As a result, the decision-making of manufacturing system is a non-trivial problem and requires complex control subsystems. The use of Programmable Logic Controllers (PLCs) allows to program various and non-standard solutions. In the paper the application of Multi-Attribute Decision-Making (MADM) methods to a decision-making related to flow control in a manufacturing system with three production lines is described. For this purpose, the SAW (Simple Additive Method), WASPAS (Weighted Aggregated Sum Product ASsessment) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods are applied and simulated with using manufacturing system model in Matlab Simulink and SimEvents. In methods subjective weights defined by an expert are used. However, in order to move away from subjectivism, Shannon’s entropy is used for determining weights of criteria. The used approaches have been compared.

Planning and simulation in assembly processes and whole production systems by computer aided systems is currently an advantage of big major companies. However, computer aided technologies in field of planning and simulation of production systems and assembly systems are future of every one company if they want to remain competitive. Computer aided systems in assembly and simulation of production processes help to save time thus financial resources needed for planning and optimization of every production systems and sub-systems. This kind of computer aided systems are helping to eliminate errors in production processes and assembly systems before they can happen in reality. This paper deals with possibilities of improvement in production process planning by use of appropriate software. In this case we will use Tecnomatix Plant Simulation by SIEMENS company which. Use of this software is aimed for planning and optimizing of production systems with high level of complexity.