AUTOMATIC IDENTIFICATION SYSTEMS FOR MANAGEMENT - MATERIAL FLOW CONTROL AND STOCK STATUS

The subject of the article is to define the current state of the information system, to describe the use of technology in practice and to understand the principle and benefits of smart logistics. To describe the operation of RFID technology and systems that are necessary for the effective operation of a comprehensive automatic identification system. The issue is to define the current state of information technology and create a project for automatic identification. The aim of the smart logistics project is the overall improvement of the production process, registration of parts and the overall highlighting of the company's reputation. Automatic identification systems are nowadays one of the fastest growing areas, whether information logistics or logistics as such. Manufacturing companies are trying to apply more and more elements of these systems to their production processes. Slovak companies, which have their production process based on international orders, are increasingly trying to optimize their production and thus approach Western countries in the field of automatic identification and registration of parts.

Resilient Supply Chain Management Model

The strategy for the development of the supply chain should ensure a high level of fault tolerance of all links when exposed to adverse factors. The article analyzes the impact on the stability of the supply chain of two types of influences: failure and disruption. The low stability of the supply chain appears in the stoppage of work in case of any disruptions and failures. With moderate stability, disruptions do not give up a significant impact on the operation of the supply chain, and failures lead to an increase in operating costs to maintain the stability of work processes. With a high level of stability, failures can cause disruptions in the operations of individual links. In case of disruptions, response models are applied based on the control of process parameters, the subsequent analysis of the causes of disruptions and the development of measures to restore the normal operation of the links in the supply chain. Effective disruption response involves the use of proactive response models. For this, it is necessary to ensure flexibility and transparency of processes in all links of the supply chain based on digital services for material flow control and mining of big data.

Measures for controlling the material flow when extruding sheet-bulk metal forming parts from coil

The increasing demand for lightweight design requires functional integration. This poses challenges to conventional manufacturing processes due to the rising geometrical complexity of components. The application of bulk forming operations to sheet metal, named sheet-bulk metal forming (SBMF), is one approach to overcome these challenges. Currently, mainly pre-cut blanks are applied in research of SBMF. Production from coil, in contrast, would combine the advantages of SBMF with the advantages of manufacturing from a coil regarding high output quantity. To research SBMF from coil, a lateral and a backward extrusion process are set up. In addition to a reduced geometrical accuracy of the parts, which is known from SBMF of pre-cut blanks, an anisotropic material flow is identified as a coil-specific challenge. The aim of this research is to investigate measures that extend the forming limits by means of a material flow control. For this purpose, a combined numerical-experimental approach is applied in order to analyze and evaluate an adaption of the width of the coil, the feed width, and the local friction as measures for material flow control. Particularly local adaptation of friction by means of modified tool surfaces reduces the anisotropic material flow and improves the geometrical accuracy of the parts.