Enhancing Warehouse Productivity through SAP Integration with Multi-Model RF Guns

Abstract

The prevailing discourse on warehouse automation frequently assumes a frictionless transition from legacy architectures to the "digital twin," ignoring the entropic reality of the brownfield shop floor where distinct technological epochs must uncomfortably coexist. As the industry moves from the kernel-integrated efficiency of ITS Mobile towards the client-side rendering inherent to SAP Fiori on S/4HANA, a critical tension emerges between transactional latency and cognitive fluency a trade-off largely unexamined in current throughput models. This study interrogates this architectural schism through a rigorous comparative analysis of a heterogeneous device fleet, quantifying the overhead of DOM-rendering against the "chatter" of traditional RF protocols. Empirical results demonstrate that while the modern Fiori stack introduces a non-trivial "rendering tax" that bottlenecks high-velocity scanning, its semantic clarity significantly mitigates error rates during periods of operator fatigue. Consequently, we propose a "Context-Adaptive Routing Algorithm" that dynamically assigns interface protocols routing repetitive tasks to the lean ITS Mobile kernel and complex exceptions to the rich Fiori client. This framework challenges the binary "rip-and-replace" methodology, arguing instead that optimal productivity requires the algorithmic stabilization of a hybrid state where legacy efficiency and modern context are inextricably braided.