Linking modern technology into a complete system

The general contractor plans and implements complex logistics systems and relies on the networking of modern technologies. At Stand H20 in Hall 1, Unitechnik will be demonstrating how autonomous vehicles, robots and other modern technologies can be intelligently integrated into the material flow.

Implementing a logistics system typically involves using technology from a variety of vendors. However, almost weekly new driverless transport systems, picking robots or AI-based software systems appear on the market with the aim of automating internal logistics. As a general contractor, Unitechnik supports its customers in selecting the best components for the respective processes. "In the first step, our experts look at the customer's entire material flow and the interfaces to existing systems," says Michael Huhn, head of overall sales at Unitechnik. "After analyzing the current situation, the next step is to design the logistics system." In the design phase, Unitechnik, as a general contractor, draws on a broad portfolio of technologies from proven partners. In this way, a wide variety of highly automated components and autonomous subsystems can be integrated into an overall solution.

UniWare connects subsystems
Unitechnik's vendor-neutral approach allows for a precise selection of the equipment. During the subsequent commissioning and networking of the technologies, the UniWare warehouse management system plays a central role as the "heart of the logistics center". UniWare is the link between the autonomous subsystems and the rest of the material flow. By communicating with each other, the systems then act in a coupled and intelligent manner. The result is end-to-end logistics processes that are both efficient and flexible.

Even after completion of the joint project, the system integrator is available as a lifetime partner for support and ongoing optimization of the entire system. In order to offer its customers even more added value, Unitechnik has started a research project with the Technical University of Cologne. The goal of this project is to collect and analyze the countless data generated during the ongoing operation of the entire logistics center in a data warehouse. The AI-supported control center assistant will then advise the warehouse manager in his daily work.