Archives 2022

The First Industry-Academy Forum opened in Novi Sad

At the Industry-Academy Forum “Smart Production – Solutions for Industry 5.0”, held yesterday on the premises of the Science and Technology Park in Novi Sad organized by the Faculty of Technical Sciences, it was pointed out the great importance of strengthening cooperation between universities and companies through the application of knowledge in practice, in order to jointly and as successfully as possible responded to the challenges of the current fifth industrial revolution.

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Industry-Academy Forum: Upskilling for Industry 5.0

The Faculty of Technical Sciences, University of Novi Sad, is organizing its first Industry-Academy Forum on November 29, 2022

The purpose of this event goes beyond the framework of previous, similar events and focuses on strengthening cooperation between companies that gravitate and need personnel who are educated and trained at the Faculty of Technical Sciences in Novi Sad, Serbia.

In cooperation with the Science & Technology Park in Novi Sad, the Faculty of Technical Sciences invites you to participate in the Industry-Academy Forum with the theme: Improving skills for Industry 5.0 and contribute to the development of knowledge and skills of future engineers. The meeting will be attended by representatives of companies, professors, and students.

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Digital Sustainability in Industry

Sustainability and productivity needn’t be at odds when enabled by Industry 4.0 technology categories. And with an empowered workforce leading the way, outsize gains can be the result. 

Industry 4.0 technology categories have helped boost operations’ productivity and efficiency. This increased operational performance to support the growth without the need to add more resources or machines that consume more energy. Ninety percent of greenhouse-gas emissions come from electricity. So more than 1,000 Industrial IoT sensors is deployed to more than 500 pieces of equipment and 15 utility systems to gather data and generate analytics insights. This allows us to optimize energy consumption across the entire factory. This is how Industry 4.0 technology categories accelerate digital sustainability. Thus, Digitalization is the key that can unlock net-zero for industry.

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Rise of the Internet of Things Jobs

Known as the Internet of Things (IoT), there are now over 30 billion items with the ability to connect digitally, and the predictive manufacturing industry continues to grow, thanks to the skills of trained professionals. The development of IoT jobs and their crucial role in keeping up with demand has meant that there is no shortage of job opportunities on the horizon. In 2019, nearly two-thirds (61%) of companies globally implemented IoT applications, and that number continues to grow as the world evolves.

With this in mind, Distrelec has analyzed the companies recruiting for IoT jobs, the total number of active listings globally, and the most desirable jobs in 2022.

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Edge Computing

Edge Computing – Technology of Industry 5.0 Era

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).

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Industry 5.0: human-centric, resilient and sustainable strategy

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

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Faculty of Technical Sciences and Mitsubishi Electric Signed the Agreement on Long-Term Business and Technical Cooperation

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 cooperationThe 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.

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Real-time data analytics

Toward Real-Time Data Analytics Application for Industry 4.0

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. 

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Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective

During the last decade, we have witnessed steady movement of industry and academia toward Industry 4.0. Industry 4.0 is a concept aimed at achieving the integration of physical and cybernetic parts of the manufacturing process via networks and driven by Industry 4.0 technology categories used for the prediction, control, maintenance, and integration of manufacturing processes (i.e., cyberphysical systems, Internet of Things, big data analytics, cloud computing, fog and edge computing, augmented and virtual reality, robotics, cybersecurity, semantic web technologies, and additive manufacturing). However, the research on implementing Industry 4.0 is lagging behind. 

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