Forms of synergetic interaction between Industry 4.0 and regional tourism in the post-war reconstruction of Ukraine

    Industry 4.0, Vol. 7 (2022), Issue 4, pg(s) 151-154

    In the context of large-scale and diverse forms of international assistance for the post-war reconstruction of Ukraine, it is necessary to identify and offer foreign partners a format to support tourism in our country, especially inbound one. A possible proposal is to develop an international program to encourage foreign tourists to come to Ukraine on special tours, which will be partially funded by donor countries. Combining domestic tourist flows with foreign flows of this type is possible through tourist events, especially festivals. In this format, the festival will have significant synergetic potential, as it will be a point of unification of tourist flows in time and space. The experience of international kite festivals as a special form of event tourism is researched. It allowed to summarize certain features of festivals as tourist events. Certain aspects and features proved the complexity of such phenomena as a tourist event, festival event, the complexity of their preparation and conduct, active interaction with socio-economic processes in the territory.


    An Approach of Development Digital Twin Based on CMM as Support Industry 4.0

    Industry 4.0, Vol. 7 (2022), Issue 2, pg(s) 50-53

    The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic lgorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.


    Industry 4.0 and Innovation

    Innovations, Vol. 10 (2022), Issue 1, pg(s) 3-5

    Explosive changes in technology are having a significant impact on all industries. Robotics, artificial intelligence, cyber physics systems, cloud computing, IoT and blockchain technology, 5G, nanotechnology, 3D printing are all defining elements of Industry 4.0. The integrated use of these methods enables the perception and display of the external environment, which significantly enables improvements in each industry. In the future, we expect a fusion of physical, digital, and biological technologies, which will provide new opportunities for innovative solutions. The authors of the present study present a future study to predict innovative solutions to key global challenges.


    Application of ergonomic software solutions in the concept of Industry 4.0

    Industry 4.0, Vol. 7 (2022), Issue 1, pg(s) 10-13

    Continuous development of technology brings daily improvements implemented in various processes, systems, machines, tools, or equipment. The development of these technologies is currently most often in the synergy of the Industry 4.0 strategy, which forms a solid foundation for modern industrial practice. In this continuously evolving environment of industrial practice, digital concepts for every manufacturing sector come to the fore. Part of every production sphere is the worker, the person forming part of the production process, who undoubtedly requires the same attention as the production system itself. The ergonomics industry deals with the issue of the humanization of technology in the workplace, where it is necessary to ensure the adaptation of the machine to humans and not by suitable working conditions. The presented article is focused on highlighting and describing the basic connections between the general principles of ergonomics, the principles of modern understanding of ergonomics in digital form, which is rapidly developing in the engineering industry in conjunction with Industry 4.0 strategy for practice. The conclusion of the article provides a general summary of the issue with the ideas of developing the concept of ergonomics software solutions in mechanical engineering. This article was supported by research grants VEGA 1/0431/21 and KEGA 004TUKE-4/2020.


    Structural Network for the Implementation of “Industry 4.0” in Production Processes

    Industry 4.0, Vol. 7 (2022), Issue 1, pg(s) 3-6

    In the last ten years, the development and implementation of robotics, sensor and digital technology in the world from introduced us the third industrial revolution to the fourth industrial revolution. In its development strategy, Germany introduces digital technologies in production processes called “Industry 4.0” in 2011. The German example is followed by the following countries: USA, Great Britain, Sweden, Japan and other. Almost all technologically developed countries strive to introduce advanced technologies into production processes in order to maintain their competitive positions in the market. The implementation of the fourth technological revolution depends on a number of new and innovative technological achievements, i.e., the implementation of patents for the basic technologies of Industry 4.0. It is necessary to integrate production processes in all phases of product development, as well as monitoring during its working life through the use of advanced technologies. When automating production processes, we must include intelligent sensors, intelligent robots and connect everything to the Internet using digital technologies that closely monitor the product development process. It is also required to collect large amounts of data through network communication used during the production process. The paper presents a structural network with all levels for the implementation of Industry 4.0 in the production process of the metal industry.


    Cybersecurity of OPC ua based cyber-physical systems

    Industry 4.0, Vol. 6 (2021), Issue 6, pg(s) 204-207

    The IEC-62541 (OPC UA) standard is an important part of the Industry 4.0 reference architecture and is recommended as the only possible communication standard. A particularly important issue that is being addressed is the issue of security. Cyber security is one of the most important challenges for achieving the objectives of the Industry 4.0 initiative and of the associated cyber-physical systems (CPS). The paper analyzes the vulnerability of cyber-attacks and the main threats that threaten the security of OPC UA-based CPS and defines proven and sustainable recommendations for increasing the security of these applications.


    Approaches to support learning in today´s workplace

    Industry 4.0, Vol. 6 (2021), Issue 4, pg(s) 169-173

    Workplace learning supports acquiring knowledge and practical skills also to use up-to-date equipment by formal or informal methods and means and occurs mostly in the workplace. It contributes to learning of employees, employers and the organization as a whole.
    As a response to COVID-19 disease, workplace learning had to be changed. Companies need to consider Industry 4.0 to stay competitive in the market. Among the challenges regarding the transformation towards Industry 4.0 are requirements to re-skill the staff for the new work environment by using digital technologies. The staff has to adapt to the workplace transformation brought by digitalization, automation and robotic. So, learning at the workplace should be changed supporting cost-effective delivery modes, easy to access leaning resources, and flexible learning environments. This paper aims to present first some existing forms, benefits and requirements of workplace learning as well as factors that are impacting the workplace and can support to drive a new approach to workplace learning. Second, some learn ing methods
    like interdisciplinary experiential ones, reflection as well lifelong learning (LLL) supported by digital technologies are proposed which can be applied within workplace learning.
    Results about existing approaches in published papers, including the author ones, as well as of projects in this field have been used.
    Recherche has been done by the Study Group Lifelong Learning of the IAT, coordinated by the author. Finally, the methods described in this paper for workplace learning have been tested within an Erasmus+ project with participation of the author. The results should help managers, education responsible, employees to rethink their whole approach to workplace learning: the culture, tools, methods by adopting a new, modern understanding of what it means to learn at work by using digital technologies. The results should be tested also within other projects because due to changed situation during the Covid-19 and after it not all proposed approaches have been applied in optimal conditions. The factors driving workplace learning and the combination of described learning forms described in the paper have not been applied in this form until now.


    Changes in the need for digitization during the COVID-19 pandemic

    Industry 4.0, Vol. 6 (2021), Issue 4, pg(s) 162-164

    The digitization and automation of production and logistics technology as part of Industry 4.0 bring many positive aspects. They create the conditions for expanding production capacities, enforcing in a competitive environment by increasing productivity and quality of produced products, new opportunities and new customers, replacing people in dangerous operations and events. This paper deals with the changing perception of the need for digitization brought about by the COVID-19 pandemic.


    A predictive maintenance application for band saw machines

    Industry 4.0, Vol. 6 (2021), Issue 4, pg(s) 139-142

    Digitalization of production lines is the most important issue in the world in recent years. One of the most important issues of this digitalization for today’s manufacturing enterprises is the need to update maintenance practices and maintenance work processes in production lines with technological developments. The fact that sawing machines are in the first part of the production lines shows that it is of critical importance. In this study, it is aimed to determine the necessary principles for digitizing sawing machines and integrating the predictive maintenance system into the machine. As a result of the evaluation, the necessity of real-time data collection, data analysis and artificial intelligence algorithms for predictive maintenance requirements has been determined.


    Some robotics concepts for the Industry 4.0 applications

    Industry 4.0, Vol. 6 (2021), Issue 4, pg(s) 131-134

    The advancement in Information and communication technologies has created conditions for using these technologies in many applications including the industry ones. Robotics has been traditionally present in industries, especially in manufacturing. Development of cyber-physical systems, artificial intelligence, smart sensors, Internet of Things, and other relevant technologies enabled certain transformation in the field of robotics which resulted in new robotics concepts that lead towards smart factories and fulfilment of Industry 4.0 requirements. This paper deals with some of these concepts such as cloud robotics, Internet of Robotics Things and collaborative robotics giving their main characteristics and possibilities of application in Industry 4.0 domain.


    Using Industry 4.0 concept in Slovak chemical industry

    Industry 4.0, Vol. 6 (2021), Issue 3, pg(s) 106-109

    Industry 4.0 has brought about the interconnection of the physical, cyber and socio-economic worlds. Bringing these three worlds together creates a revolutionary approach that is a new trend not only in industry but also in other areas of the economy, thus pushing the economy and business forward. The concept of Industry 4.0 represents the interconnection of digitalisation and automatisation with the use of smart technologies. The main benefit of Industry 4.0 is to produce tailor-made products where lower costs and shorter production efforts are the main values that will attract new customers and thus the profitability of industrial manufacturers will be significan tly affected. Implementing Industry 4.0 in an enterprise will enable efficient use of human and natural resources and raw materials. It will also partially reduce the demands on the environment and create better living conditions for future generations. The intention of the paper was to explain how the Industry 4.0 concept is changing the direction of the Slovak chemical industry. The main objective of the paper was to explicate the Fourth Industrial Revolution in the form of the Industry 4.0 concept in 44 companies operating in the chemical industry in Slovakia on the basis of a knowledge base and a questionnaire survey


    Direct digital manufacturing – the role of cost accounting for online hubs to access industry 4.0

    Industry 4.0, Vol. 6 (2021), Issue 3, pg(s) 102-105

    Additive manufacturing is an established production method to realize Direct Digital Manufacturing in Industry 4.0. Especially for metal components, production requires high investment sums and high levels of know-how in the organisation. To make the advantages of the technology accessible even without high initial investment costs, co-called online hubs became an external and decentralised alternative to additive in-house production. After uploading the geometry to the online portals, material and post processing can be selected. The hub gives the customer a direct pricing response which is one of the main economic indicators for a purchase decision. The present paper focuses on the influence of the order quantity and the complexity of the components on the price algorithm. Therefore, sample parts of varying complexity and sizes are developed and uploaded to analyse data. Based on the in-depth findings of the study, the results are discussed.