Product Owner
This podcast episode is about the efficient digital transformation of manual industrial processes with the help of IoT. In production and logistics, there are still a large number of human-machine interfaces today. Designing these as efficiently as possible is a constant challenge for machine and plant manufacturers. RAFI and Device Insight use networked signal lights and switches to optimize previously isolated, manual processes. The switches and signal lamps from RAFI are primarily used in the area of operating, monitoring and controlling systems, machines and processes – across all industries. The podcast takes a closer look at two customer applications: One use case from intralogistics and one use case from waste management. In order to optimize throughput and cycle times as well as distances, and to enable faster material transport, RAFI networks pushbuttons and signal lamps with each other. Transporters receive immediate (visual) notification from the KIS.LIGHT as soon as an employee presses a button on the so-called KIS.BOX and an action is required. This logistics on demand also leads to better workforce planning and resource allocation. Use Case 2 revolves around digitized waste emptying and how digital mapping of process chains enables more efficient work. KIS.ME users get a comprehensive overview by mirroring their assets and processes as a digital twin in the cloud. Another key to success: no programming efforts or complex installations for the customer. The solution can be integrated into existing processes in a lean and easy way without interfering. By combining Microsoft Azure Cloud, proprietary IoT building blocks and years of experience, Device Insight provides RAFI with the foundation for this scalable IoT solution. The systems integration expert serves customers from a wide range of sectors – from automotive to smart vending – from business case analysis to solution application, thereby also helping to create new business models.
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