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
28Sep Industry 4.0 Implementation Challenges and Opportunities: A Managerial Perspective by Prof. Dr. Aleksandar Rikalovic R&D Industry 4.0 is a concept aimed at achieving the integration of physical parts of the manufacturing process (i.e., complex machinery, various devices, and sensors) and cyber parts (i.e., advanced software) via networks and driven by Industry 4.0 technology categories used for prediction, control, maintenance, and integration of manufacturing processes. Industry 4.0, which is expected to have a great impact on manufacturing systems in the future, is attracting attention in both industry and academia. Although academic research on Industry 4.0 is growing exponentially, evidence of Industry 4.0 implementation challenges are still main topic. 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
30Nov Challenges of Big Data Analytics in Industry 4.0 by Prof. Dr. Aleksandar Rikalovic R&D Today, the rapid development of information and communication technology (ICT) leads to the generation and collection of large amounts of raw data, which represents the undiscovered source of information. The demand of the industry sectors for the constant improvement of production systems leads to the expectation that processing such data, using the advanced analytics method and technique, will have a major impact on the implementation of Industry 4.0 in the future. 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
27Mar UNDP Workshop for Data Science at Faculty of Technical Sciences by Prof. Dr. Aleksandar Rikalovic Workshops The free Data Science course is held from April 5th to April 7th in 2019 at the Faculty of Technical Sciences. Through a series of lectures and workshops, students had the opportunity to get acquainted with open data, to analyze and visualize (open) data, as well as to formulate their proposals for creating added value based on available open data. 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
15Nov Predictive Manufacturing Systems in Industry 4.0: Trends, Benefits and Challenges by Prof. Dr. Aleksandar Rikalovic R&D The fourth industrial revolution, known as Industry 4.0, has tendency to push the boundaries of science and technology. This is especially true for the manufacturing industry. One of the biggest challenges facing the manufacturing industry today is how to make intelligent systems for production with “self-aware”, “self-predict and “self-maintain” abilities. Predictive manufacturing systems (PMS) are new intelligent systems that provide these abilities in the production, processes and machines. Read More