Siemens presents software for Real-Time Locating System (RTLS)
Siemens presented its “Location Intelligence” software during PROMAT 2023, which expands the SIMATIC RTLS (Real-Time Locating System) locating platform to include the digital twin of performance and warehouse. The web-based software analyzes and visualizes dynamic data, processes events, and can be addressed directly from local ERP (Enterprise Resource Planning) or MES (Manufacturing Execution System) systems. The intelligence acquired based on position data provides the user with a comprehensive overview of material flow, order information or possible problem areas.
The transponder ID is linked to the existing order data. Depending upon the process step and order status, order information can then be displayed on the SIMATIC RTLS ePaper transponders, providing a paperless solution. Location Intelligence also offers users the opportunity to track individual workpieces or the entire order in real time. When the order ID is entered, the real-time positions of linked transponders are shown on the customer’s digital card.
Location Intelligence will also provide manufacturers with a digital twin of warehouse logistics. Warehouse content can be easily visualized with real-time maps or a custom-built dashboard to implement and support FIFO or LIFO concepts. It can even enable a “pick by light process” by using signal lights or LEDs of the transponder that trigger a visual notification if a work order remains immobile and needs to be moved to the next production step.
With a real-time locating technology, warehouse space can be utilized efficiently, the correct goods in the right amount at the right time will be made accessible for manufacturing, shipping and distribution while increasing delivery accuracy and processes quality.
In addition, the combination of location and business information leads to transparent processes: searches are reduced to a minimum because the positions of all relevant objects on various terminals are visualized in real time. Bottlenecks or deviations from the production schedule can be avoided, workflow anomalies identified, paperless order information retrieved, and material flow and order status assessed. At the same time, previously untapped potential for optimization in the factory can be identified through real-time analyses and rapid decision-making.
03/04/2023Enquire about this StoryReturn to News Overviews