Industry 4.0 is a term that was introduced by the German government at the time of the Hannover Fair in 2011 in relation to an initiative brought forward to support German industry in addressing future challenges. It refers to the 4th industrial revolution, in which disruptive digital technologies, such as the Internet of Things (IoT), robotics, virtual reality (VR), and artificial intelligence (AI), are exercising a notable impact on industrial production.Industry 4.0 takes the emphasis on digital technology of recent decades to a whole new level with the help of interconnectivity through the Internet of Things (IoT), real-time data access, and the introduction of cyber-physical systems.This paper focuses on the design of an educational module for higher education mechatronics students. Introducing Industry 4.0 into a mechatronics curriculum will reinforce the integration of student competences in flexible and rapid manufacturing. The module includes notions of machine learning and deep machine learning, which are essential in robotics and behavioral robotics and closely interact with control theory. The results of a pilot training activity in the field are also illustrated and discussed.
Introduction. Industry 4.0 is an innovative industrial production of the future, to which uncertainty is inherent that gives rise to various risks that need to be analyzed, modeled and managed. Currently, there are not enough fundamental scientific or practical works that would systematically investigate the problem of risks of Industry 4.0. However, there are foreign works which cover some aspects of risk management in the industry 4.0. There are practically no domestic works on the problem under investigation, therefore we would like to some extent to fill this gap of domestic scientific achievements. Purpose. The purpose is to identify the main risks of Industry 4.0, based on system analysis and refinement of their interpretations and to formulate our own vision of their classification. Materials. In the process of writing the work the available public Internet materials on various aspects of Industry 4.0 were used. Results. The current phase of Industry 4.0 can be considered preparatory to actually the Fourth Industrial Revolution, which is characterized by the following risks: investment; innovation activity; industrial espionage and competitive intelligence; intellectual and human resources; administrative and legislative; standards; inconsistencies related to the discrepancy of the concept of Industry 4.0 to the existing information and communication tools and technologies. The next phase of Industry 4.0 implementation stipulates the actual production of prototypes. In case of successful implementation of this phase it can be considered that the Fourth Industrial Revolution has occurred. In this case, all the risks that already exist with some changes will be typical of Industry 4.0 as well. In addition a number of new risks will appear. That is, the risks of Industry 4.0 will be the following: risks of Cyber-Physical Systems, risks of the Internet of Things (or the Industrial Internet of Things), Smart Products risks, Big Data risks, risks of cloud or cloud computing, risk of management, risks of virtual reality and modeling, risks of additive production, risks of information security and cyber security, risks of intellectual and human resources, environmental risks, risks of resource provision of innovative production. In addition, the work also specifies other risk classifications of Industry 4.0. Originality. The authors define risks of Industry 4.0, provide author clarifications of their eesences and propose the author vision of risk classification of Industry 4.0 based on various properties and criteria. Conclusion. This work can be a starting point for further research on the risks inherent to the Industry 4.0 based on various areas, including Industry 4.0 risk modeling.
AbstractThe transformation from traditional manufacturing to intelligent manufacturing intrigues the profound and lasting effect on the future manufacturing worldwide. Industry 4.0 was proposed for advancing manufacturing to realize short product life cycles and extreme mass customization in a cost‐efficient way. As the heart of Industry 4.0, smart factory integrates physical technologies and cyber technologies and makes the involved technologies more complex and precise in order to improve performance, quality, controllability, management, and transparency of manufacturing processes. So far, leading manufacturers have begun the journey toward implementing smart factory. However, most firms still lack insight into the challenges and resources for implementing smart factory. As such, this paper identifies the requirements and key challenges, investigates available new technologies, reviews existing studies that have been done for smart factory, and further provides guidance for manufacturers to implementing smart factory in the context of Industry 4.0.
Part 3: PLM for Digital Factories and Cyber Physical Systems ; International audience ; With the advancements in industry technology and applications, many concepts have emerged in manufacturing. Since the term Industry 4.0 was published to highlight a new industrial revolution, many manufacturing organizations and companies in Europe, North and South America are researching on this topic. Even the Industry 4.0 concept is included on government duty, sponsored by national initiatives and research funding. However, developing country like Uzbekistan, with high industrial potential are experiencing a different position and the technology roadmap of accomplishing Industry 4.0 is not clear yet. In the last 20 years, Uzbekistan managed to join the group of lower-middle income countries; the ultimate development goal of the country in the next stage is to reach the development benchmark comparable to the higher-middle income group by 2030. Therefore, this paper aims to depict the current state of manufacturing systems in Uzbekistan and identify the gaps with the Industry 4.0 requirements. The findings of this paper can serve for researches from emerging countries as technological roadmap towards Industry 4.0 paradigm and can assist industrial people in understanding and achieving the requirements of Industry 4.0.
This volume brings together expert contributors to explore opportunities and challenges that Industry 4.0 is likely to pose for regions, firms and jobs in Europe. Drawing on theory and empirical cases, it considers emerging issues like servitization, new innovation models for local production systems, and the increase in reshoring.
AbstractIntelligent manufacturing system is considered as the key of industrial competitiveness, which has a far‐reaching impact on the enterprise development. This paper conducts an analysis of intelligent manufacturing in small and medium‐sized enterprises (SMEs). The study provides insight on upgrading manufacturing SMEs in industry 4.0 era.
Die Anwendung von Industrie 4.0 in der Produktion von Lithium-Ionen-Batteriezellen ermöglicht es Unternehmen, eine höhere Produktqualität und globale Wettbewerbsfähigkeit zu erreichen. Die ganzheitliche Einführung von Digitalisierung und Industrie 4.0-Methoden in allen Bereichen der Produktion stellt jedoch derzeit eine große Herausforderung dar. Aus diesem Grund wurde eine Methodik entwickelt, die die Quantifizierung von Digitalisierung und Industrie 4.0 in der Batteriezellproduktion erlaubt und als Werkzeug zur systematischen Stärkung genutzt werden kann.
The application of Industry 4.0 in the production of lithium-ion battery cells enables companies to achieve higher product quality and global competitiveness. However, the holistic introduction of digitalization and Industry 4.0 methods in all areas of production is currently a major challenge. For this reason, a methodology was developed that allows the quantification of digitalization and Industry 4.0 in battery cell production and can be used as a tool for systematic strengthening.
