
Connected Factory and IoT
The changes in global economic markets, the increasing complexity of manufacturing systems, and the need to accelerate customer requests...
OVERVIEW
The changes in global economic markets, the increasing complexity of manufacturing systems, and the need to accelerate customer demands with customized, immediately available products have led to a generational shift. This can be addressed by introducing new technologies that will transform companies—and factories with their plants in particular—into a new way of producing.
The term Industry 4.0 represents a vision of the future in which, thanks to digital technologies, industrial and manufacturing companies will increase their competitiveness and efficiency through the interconnection and cooperation of internal and external factory resources.
BUSINESS CASE
Companies in the manufacturing sector need not only enabling technologies to capture production data and alarms but also ready-to-use assets that can integrate into processes for product improvement and factory efficiency. Today’s market landscape, though rich in technological platforms, does not address the need for a single partner who can provide both technologies and expertise to implement IoT projects, as well as strategic consulting and the ability to manage a project within the required timelines and constraints.
SOLUTION AND BUSINESS VALUE
Connected Factory is Bitia’s proposal for Industry 4.0, built on years of experience in new digital technologies and IoT. It offers immediately usable, quickly demonstrable solutions by connecting existing plants and providing not only technologies but also high-value business assets: equipment efficiency calculation (OEE), downtime analysis, and intervention request management are just some examples of the functionalities our solution delivers.
Bitia provides expertise across the entire end-to-end IoT project chain: from mapping PLC or sensor data, through the IoT platform and the cloud, to implementing applications for real-time data analysis and visualization, combined with a data lake for in-depth and predictive analysis.