Industry 4.0
Vol. 4 (2019), Issue 6

Table of Contents

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    • PREDICTIVE ANALYTICS FOR INDUSTRY 4.0

      pg(s) 273-276

      The Industrial Predictive Analytics for Industry 4.0 is a system that predict and prevent machine failures and breakdown by analyzing time-series data (temperature, pressure, vibration etc.) received from sensors embedded in machines and equipment. The system can analyze machine parameters to identify patterns and predict breakdowns before they happen. The core of the proposed system is based on Artificial Neural Network approach (both Deep and Shallow Neural Networks). Artificial Intelligence and Artificial Neural Networks allow analyses the huge amounts of data collected from the manufacturing process and predict what will go wrong, and when. The proposed system works in the paradigm of Industry 4.0 and provides the abilities in the area of predictive maintenance. The Industrial Predictive Analytics for Industry 4.0 also contains a decision-making system and support system that significantly increases the level of maintenance.

    • DETERMINATION OF INDUSTRY 4.0 COMPLIANCE CRITERIA FOR BAND SAW MACHINES

      pg(s) 277-281

      Production starts with supply of raw materials and cutting of this input to the desired dimensions in order to be taken to the production line. Sawing machines used to bring the raw material to the desired dimensions in the industrial manufacturing companies are of great importance and maintain the identity of being the indispensable machine tool of almost all the enterprises’ machine parks. Considering the transition to Industry 4.0 in next 10-15 years, Turkey, which has a significant market share in the production of sawing machines, still needs to be sustainable export to countries like EU Countries and the United States which have the highest level of preparation for Industry 4.0 is directly related to meeting the expectations of these countries. In this study, for both of to raise the level of preparedness and to increase the export potential of Turkey, it is aimed to determine which criteria should be taken as basis in the development of saw machines capable of meeting industry 4.0 requirements. As a result of the evaluation, to meet Industry 4.0 requirements it have been come fore to meet the needs such as adaptation of processing and cutting conditions with barcode data, optimization of cutting conditions by data analysis, remote monitoring and control by communication with desktop and mobile devices, real-time tracking for predictive maintenance and apply maintenance plan in concept of dark factories.

    • DESIGN OF NEXT GENERATION MODULAR PRODUCTION SYSTEM IN INDUSTRY 4.0 ENVIRONMENT

      pg(s) 282-285

      The article deals with current situation of design of production lines in modern factories and describes possibilities of realization new type of industry lines. The main research deals with proposal of modular production system established from intelligent manufacturing cells. Main positive features of suggested structure are possibility of rapid reconfigurability of the production line, easy maintenance and possibility of simple and fast design of new production lines, thanks to modularity. To achieve these features in the Industry 4.0 ecosystem is necessary to use of modern communication methods and technologies, such as wireless industrial communication and IoT together with cooperative robots. Moreover, the entire system has to be designed as hierarchical, demand synchronized, flexible and is using standardized construct components.

    • VEHICLE CLASSIFICATION BASED ON THEIR GPS SIGNAL SHADOWS

      pg(s) 286-289

      The goal of this paper is to study algorithm for detection and classification of moving objects based on parameter estimates from their GPS signal shadow. The suggested algorithm uses satellite GPS signals to create radio barriers and to detect moving terrestrial targets. It can be examined as an algorithm for secondary application of the wireless technologies (SAWT). This technology is extremely modern and up-to-date and can find application in Industry 4.0 with regard to the reduction of the electromagnetic radiations. The GPS signals included shadow from several moving vehicles, processed in MATLAB environment in order to obtain the estimations of their parameters. In IBM SPSS Statistics, Scheffe test is used for classifying the moving objects. The results reveal that proposed signal processing of the GPS signal shadow combined with this statistical approach can be successfully applied in practice for object classification.

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    • THE ROLE OF SERVICE ROBOTS IN INDUSTRY 4.0- – SMART AUTOMATION OF TRANSPORT

      pg(s) 290-292

      All production processes in the world are implementing Industry 4.0 by using the basic technologies such as robotics & automation, intelligent sensors, 3D printers, radio frequency identification – RFID, cloud computing, Internet of Things and Internet of Services. Implementation of Industry 4.0 in all production processes is not possible without the use of both industrial and service robots, their development and implementation. In addition, there are other technologies on which the fourth industrial revolution is based that will provide us with intelligent devices, intelligent production processes, intelligent logistics in production processes, i.e. intelligent factories. The Cyber-Physical Systems (CPS) in the global environment provide machine networking in production processes and logistics systems. This paper provides an example of the use of service robots and their role in solving smart transport in production processes.

    • SIMULATION OF SURGE PROTECTION ACCORDING IEC 61000-4-5

      pg(s) 293-296

      An important requirement of digital electronic devices is the comprehensive provision of electromagnetic compatibility. In particular, it is necessary for electrical, electronic and radio equipment to ensure a sufficient level of noise immunity when exposed to microsecond pulse interference. The international standard IEC 61000-4-5 regulates the testing of equipment for microsecond impulse noise. Carrying out such physical tests is quite complicated and requires expensive equipment. The article proposes computer simulation of testing electronic devices in accordance with the requirements of IEC 61000-4-5.

    • DESIGN CENTRIFUGAL FAN VOLUTE WITH CFD NUMERICAL SIMULATION USING OPENFOAM-MATLAB COUPLING

      pg(s) 297-301

      The main scope of this paper is to fully integrate simulation from open source CFD software with the Matlab App Designer program. The OpenFOAM-Matlab CFD interface allows one to conveniently setup fully turbulent incompressible Reynolds Averaged Navier-Stokes (RANS) CFD case all within an easy to use graphical user interface (GUI). Highlighting built-in CAD tools to create geometry (STL) for automatic mesh generation to OpenFOAM case file as well as a solution with post-processing and visualization with ParaView. Also, the cross-platform OpenFOAM CFD interface for MATLAB should allow the user to rapidly design the spiral casing in an engineering manner as an illustrative platform and coordinator between the inputs chosen by the user and the results which are displayed after calculations. Furthermore, the GUI should be a very flexible and user-friendly platform for spiral casing design according to the efficiency and static pressure recovery coefficient as well.

    • NEW APPROACHES FOR OBTAINING SELENIUM (Se) FROM NATURAL RESOURCES

      pg(s) 302-305

      In the last few years, application of selenium has increased significantly due to its unique possibilities to acts as an antioxidant and as an anticancer reagent in human body. Due to this, selenium is one of the most important chemical elements for human health. Recently, selenium usage in microelectronics was significantly increased as semiconductors with characteristic electronic properties. The selenium is the least abundant element in earth crust, but as the application fields of selenium are widely opened, the needs of this element are larger. This opens new views in the field of improving existing and developing new technologies for extraction of selenium.
      In this work, a new technology for extraction of selenium from natural resources was developed, by combining the advantages and removing the disadvantages and weaknesses of the existing technologies. The sediments near mineral water springs and used water filters with content from 0.0656 to 0.9291 % wt. of Se were used as mineral selenium resources. Also, the plants such as Astralagus bisulcatus and Stanleya pinnata with content of Se around 100 mg·kg–1 biomass were used as a plant resources. The technology presented in this work is a combination of pyrometallurgical and chemical methods in order to obtain intermediates reach with selenium, and further chemical and electrochemical extraction of selenium from these intermediates was done. The analyzes were performed using Inductively Coupled Plasma – Atomic Emission Spectrometry (ICP-AES). The results have shown that from mineral resources can be extracted pure red technical selenium with analytical grade up to 48.3 % of Se. From the plant resources can be obtained enriched selenium intermediates with analytical grade from 1.367 to 1.604 % wt. of Se which are potential material for medicine applications.

  • BUSINESS & “INDUSTRY 4.0”

    • CHANGES IN THE APPLICATION OF METHODS AND TECHNIQUES IN THE IMPLEMENTATION OF MANAGERIAL FUNCTIONS IN THE CONTEXT OF THE IMPACT THE FOURTH INDUSTRIAL REVOLUTION

      pg(s) 306-308

      Tools, which are used while carrying out of the individual managerial functions are constantly evolving and responding to the changes of outer environment. In current conditions the most significant factor, which effects business environment, is Industry 4.0. It is a phenomenon associated mainly with automatization, digitalization and the Internet of Things. The main aim is to identify changes in the application of methods and techniques in carrying out of the individual managerial functions in the context of the impact of the Fourth industrial revolution on the theoretical level, based on a research of available scientific literature. The results of the theoretical research point to the fact that the topic of industry 4.0 is new in the context of management, and the research does not have any influence on the individual managerial functions, which are planning, organizing, controlling, human resources management and leadership. Most of the scientific work focuses on the field planning, organizing and controlling. On the other hand, not mentioned are the functions like human resources management and leadership, within the effects of the Fourth Industrial Revolution on the tools and methods, which are used for the implementation.

    • ARE ACCOUNTING EDUCATORS READY TO EMBRACE THE CHALLENGES OF INDUSTRY 4.0

      pg(s) 309-312

      Industry 4.0 is changing the structure and scope of accountants’ qualification profile by imposing new challenging requirements regarding their skills and competences. The paper is inspired by the increasing digitalisation of businesses and the impact of technology innovations and their augmented application on the accounting higher education. The aim of the research is to outline and discuss the challenges for accounting educators due to the required knowledge and skills from graduates in the Industry 4.0 context. A special attention is given to the need for building strong and effective communication and information links with the business partners and  professional bodies. The benefits for universities of becoming part of clusters are also discussed in more details.

    • ERP SYSTEMS IN CROATIAN ENTERPRISES AND INDUSTRY 4.0

      pg(s) 313-316

      Resource planning in manufacturing companies is crucial in the context of Industry 4.0. Enterprise Resource Planning (ERP) systems that enable vertical and horizontal integration between different operational and management levels are essential for monitoring process execution through real-time data access and for making decisions according to these data.
      The implementation of the ERP system is one of the key indicators highlighted by the European Commission (more than 100 indicators) in the Digital Agenda for Europe (A Europe 2020 Initiative), which sets the goals for the growth of the European Union by 2020. It is important to make an analysis of the state of implementation of the ERP systems in the Republic of Croatia. We researched within the metalworking industry in Croatia. Purpose of the research conducted is to determine the state of implementation of ERP systems in metalworking companies and on the compliance of ERP systems with Industry 4.0 and to investigate the opinions of ERP system users on the extent to which the ERP system they use meets the requirements of Industry 4.0.
      The main objective of our paper is twofold: to present the features of modern ERP systems in the Industry 4.0 framework and to present the results of our research.

  • SOCIETY & ”INDUSTRY 4.0”

    • ASPECTS OF SAFETY AND SECURITY IN INDUSTRY 4.0

      pg(s) 319-321

      Industry 4.0 includes the integration of Safety and Security. Their interconnection (influencing) is assumed. Application of control systems within Safety and Security changes the static principle to dynamic, assumes identification of all production and distribution processes, data mobility as a part of BIG DATA technology and human factor activity while ensuring the functionality of relevant applications. Industry Strategy 4.0 requires a proactive approach in risk analysis, based on the implementation of Safety and Security principles in the development and design phase of machines and complex technologies in the context of the use of CPS principles. It is important that rapid responses to the system’s problems are monitored effectively, with simultaneous exchange of information at individual levels in the production process.

    • DIGITAL SOCIAL SERVICES AS SOCIAL INNOVATIONS

      pg(s) 322-325

      Social innovations are associated with the introduction of new ideas, technologies, services in the social sphere in order to improve the quality of life of the population. The development of digital technologies provides new opportunities for social protection of various categories of the population. Digital technologies can be used both to improve the process of providing social protection, and to compensate for various medical and social restrictions. The development of special digital social services for the population enhances the effectiveness of social policy.

    • ENTRANTS’ CHOICE OF THE UNIVERSITY TO STUDY INNOVATIVELY ORIENTED SPECIALTIES: THE INFLUENCE ON HUMAN CAPITAL DEVELOPMENT

      pg(s) 326-330

      The article deals with the development of human capital through training specialists in innovatively oriented specialties and applicants’ selection of specialities by different criteria. There is presented the argumentation of the criterion of education cost, in other words the cash (financial) flow from the family of the consumer of educational services when choosing the university for studying innovatively oriented specialties. These specialties include Bachelor’s Degree Programmes in Materials Science and Engineering, a number of Computer Science degree programmes, namely Computer Science, Computer Engineering, Systems Analysis, Information Systems and Technology. In order to achieve the goals of the study, the typology of Ukrainian universities, which implement educational programmes in the studied specialties, is deepened. Comparison of bachelor’s programmes in several selected specialties on the criterion of the cost of studying in Ukrainian universities is made. The cost of one of the study programmes of Ukrainian as compared with foreign universities of Austria, Bulgaria, Germany, Poland and Russia, has also been analysed.