That’s why Wagner reached out to Siemens Digital Logistics in 2020 to learn about its Supply Chain Suite (SCS) and how it might help the Radeberger Group. SCS delivers visibility across a company’s entire supply chain, identifying cross-enterprise, cross-system logistics data and aggregating it according to each customer’s unique needs. This data is then prepped, enriched, and re ned so that comparable KPIs appear in a uniform but easily adaptable data model. The digital twin that emerges provides an ideal launchpad, allowing detailed simulations of various factors affecting production and logistics, and their impact on the supply chain. “The Supply Chain Suite generates a data model optimized to the needs of each customer,” explains Stefanie Simon, project manager at Siemens Digital Logistics. “The data can then be leveraged to analyze, simulate, and optimize any logistical processes, however complex. All it takes is a few clicks to visualize ndings or generate charts, dashboards, and spreadsheets.” The tool offers a combination of structured data imports from various sources and the ability for unlimited data exports. “The cloud-based solution offers a user- friendly interface and also makes data available anywhere,” Simon notes. “This makes it possible to continuously reassess business decisions using the latest data and feed the results directly back into operational systems.” DETAILED TESTING PHASE The project team at the Radeberger Group phased in the complex software in several stages. “We began with a litmus test of sorts, looking rst at just the transportation and distribution logistics to see whether the Supply Chain Suite was powerful enough to map our entire supply chain,” Wagner explains. This was followed by a proof of concept, eshing out the model with all movements of goods—from beer production to lling, storage, distribution, and the return of empty bottles and containers. The result? Yes, the Supply Chain Suite delivers what it promises, according to Radeberger.
Hops, Barley, and Big Data THE CHALLENGE Volatile production and sales volumes, which are influenced by market fluctuations and raw material availability, create ongoing challenges, while data fragmentation across operations made it dicult for Radeberger to maintain a unified view of logistics performance. THE SOLUTION Radeberger implemented the Supply Chain Suite (SCS) from Siemens Digital Logistics. It created a digital twin that could model, simulate, and analyze supply chain processes across the entire corporate group. The cloud-based platform enables real-time visibility by aggregating cross-system logistics data, while also allowing for scenario forecasting and continuous performance assessment. THE RESULTS Radeberger successfully mapped its full end-to-end supply chain. It optimized transportation logistics, reducing the number of delivery runs and increasing eciency. Data quality and transparency improved, providing the foundation for accurate KPI tracking and better-informed strategic decisions. With the ability to run simulations and visualize outcomes, Radeberger now makes faster, smarter decisions. Secure analytics also support location planning and capacity management eorts. NEXT STEPS As simulation results become integrated into daily decision-making, Radeberger aims to establish a resilient, agile, and data-driven supply chain that can not only meet today’s demands but also anticipate tomorrow’s challenges.
The use of a digital twin enables Radeberger Group to see detailed simulations of various factors aecting production and logistics, and their impact on the supply chain.
180 Inbound Logistics • July 2025
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