6Jul Edge Computing – Technology of Industry 5.0 Era by Bojana Bajic R&D Edge computing is one of the hottest topics in the industry for the moment. According to Gartner by 2025 a whopping 75% of data will be processed at the edge devices. As the name indicates Edge Computing brings computing power closer to the edge of the network. This enables to store and analyze data closer to where it is generated which reduces pressure on communication networks (lowering network latency) and the heart of the network (data centers and, increasingly, the cloud). Read More
13Jun Industry 5.0: human-centric, resilient and sustainable strategy by Bojana Bajic R&D Industry 5.0 represents the concept of transition to a human–centric, sustainable, and resilient manufacturing system driven by advanced technologies. However, the greatest potential for innovation in the industry is reflected in the application of advanced digital technologies. The era of advanced digital technologies has been started by the fourth-industrial revolution, better known as Industry 4.0. Many industries expect Industry 4.0 to have a significant impact on their supply chains, manufacturing processes, and business models. Thus, Industry 4.0 is a technological concept offering a promise of enhancement in efficiency through digital connectivity and AI, but reporting a lot of implementation challenges. Read More
2Jun Faculty of Technical Sciences and Mitsubishi Electric Signed the Agreement on Long-Term Business and Technical Cooperation by Prof. Dr. Aleksandar Rikalovic Implementation The Faculty of Technical Sciences from Novi Sad, Serbia, and Mitsubishi Electric Europe B.V., German Branch signed the Agreement on long-term business and technical cooperation. The agreement signed between Faculty and this prominent company defines a joint cooperation in the development of smart factories in the field of Industry 4.0. Mitsubishi Electric has recognized Faculty as a strategic partner in Europe for the development and implementation of the e-F@ctroy concept and Edge Computing solutions based on artificial intelligence. Read More
27May Toward Real-Time Data Analytics Application for Industry 4.0 by Prof. Dr. Aleksandar Rikalovic R&D The Industry 4.0 is moving the production towards smart production systems, based on new technologies (i.e. Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence). Companies rightfully have high expectations of Industry 4.0. However, one of the major obstacles is how to transform reactive, via proactive, to predictive production systems via data analytics application. The predictive production systems are new type of intelligent production systems enable the implementation of new technologies. Read More
1Oct Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach by Prof. Dr. Aleksandar Rikalovic R&D Industry 4.0 and its innovative technologies (e.g., Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence) represent great promise. Still, companies experience hardship when transforming from reactive to predictive manufacturing systems. The latter, driven by data science development, use predictive models to detect and solve production and maintenance issues before they happen. Read More
15Sep Tetra Pak Smart Factory Support by Prof. Dr. Aleksandar Rikalovic Consulting The Tetra Pak hosted partners from Faculty of Technical Sciences where the project-specific topics of the Smart Factory development were discusses with an emphasis on the use of Artificial Intelligence (AI) in manufacturing processes based on Industrial Big Data Analytics. Read More
20May Smart Factory Development – Tarkett project by Prof. Dr. Aleksandar Rikalovic Implementation The Tarkett hosted partners from Faculty of Technical Sciences where the project-specific topics of the Smart Factory concept were discusses as a industry-academy collaboration with an emphasis on the use of Artificial Intelligence (AI) in manufacturing processes. More specifically, the AI models were developed based on Industrial Big Data Analytics using Edge Computing. Read More
23Oct Edge Computing vs. Cloud Computing: Challenges and Opportunities in Industry 4.0 by Prof. Dr. Aleksandar Rikalovic R&D With the technological development of advanced technologies and the use of the Internet of Things (IoT), the number of connected devices is increasing in manufacturing processes. As devices become more and more incorporated using more processing power, the big data is generated. However, increasing the generation of big data leads to problems related to processing and analysis. Read More
19Jun MELIPC 5000 Edge Computing in Serbia by Prof. Dr. Aleksandar Rikalovic Implementation In the show Nauka privredi Associate Professor Dr. Aleksandar Rikalović and young researcher Bojana Bajić from the Department of Industrial Engineering and Management, Faculty of Technical Sciences represent steps in the field of the fourth industrial revolution through the capabilities of the new generation industrial edge computer MELIPC 5000, the only one of its kind on Europe. Read More
9Feb Faculty of Technical Sciences Smart Factory Workshop by Prof. Dr. Aleksandar Rikalovic Workshops The Faculty of Technical Sciences hosted partners from Tarkett and Mitsubishi Electric, where the vision of presenting the Smart Factory concept. The workshop lasted three days. The first day of the Faculty of Technical Sciences held the workshop at the University of Novi Sad, where the basics of Smart Factory were presented, with an emphasis on Industrial Big Data Analytics using Edge Computing. Read More