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